notebooks/02c-cumulative-fission-product-yields.ipynb

{
 "cells": [
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Engy-4350: Nuclear Reactor Engineering Spring 2019 UMass Lowell; Prof. V. F. de Almeida **03Feb2019**\n",
    "\n",
    "# 02c. Nuclear Data and Data Processing: Cumulative Fission Product Yields \n",
    "$  \n",
    "  \\newcommand{\\Amtrx}{\\boldsymbol{\\mathsf{A}}}\n",
    "  \\newcommand{\\Bmtrx}{\\boldsymbol{\\mathsf{B}}}\n",
    "  \\newcommand{\\Mmtrx}{\\boldsymbol{\\mathsf{M}}}\n",
    "  \\newcommand{\\Imtrx}{\\boldsymbol{\\mathsf{I}}}\n",
    "  \\newcommand{\\Pmtrx}{\\boldsymbol{\\mathsf{P}}}\n",
    "  \\newcommand{\\Lmtrx}{\\boldsymbol{\\mathsf{L}}}\n",
    "  \\newcommand{\\Umtrx}{\\boldsymbol{\\mathsf{U}}}\n",
    "  \\newcommand{\\Smtrx}{\\boldsymbol{\\mathsf{S}}}\n",
    "  \\newcommand{\\xvec}{\\boldsymbol{\\mathsf{x}}}\n",
    "  \\newcommand{\\avec}{\\boldsymbol{\\mathsf{a}}}\n",
    "  \\newcommand{\\bvec}{\\boldsymbol{\\mathsf{b}}}\n",
    "  \\newcommand{\\cvec}{\\boldsymbol{\\mathsf{c}}}\n",
    "  \\newcommand{\\rvec}{\\boldsymbol{\\mathsf{r}}}\n",
    "  \\newcommand{\\mvec}{\\boldsymbol{\\mathsf{m}}}\n",
    "  \\newcommand{\\gvec}{\\boldsymbol{\\mathsf{g}}}\n",
    "  \\newcommand{\\zerovec}{\\boldsymbol{\\mathsf{0}}}\n",
    "  \\newcommand{\\norm}[1]{\\bigl\\lVert{#1}\\bigr\\rVert}\n",
    "  \\newcommand{\\abs}[1]{\\left\\lvert{#1}\\right\\rvert}\n",
    "  \\newcommand{\\transpose}[1]{{#1}^\\top}\n",
    "  \\DeclareMathOperator{\\rank}{rank}\n",
    "$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "## Table of Contents\n",
    "* [Objectives](#obj)\n",
    "* [Introduction](#intro)\n",
    "* [Cumulative (Decayed) fission fragment yield (A,Z)](#cffyaz)\n",
    "* [Data sets](#dataset)\n",
    "* [Cumulative fission products half-life times](#cfphalflife)\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objectives<a id=\"obj\"></a>\n",
    "+ Demonstrate how to obtain traceable nuclear data and have them available through the notebook for analysis and problem solving.\n",
    "+ Explore alternative sources of data and their data mining."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction<a id=\"intro\"></a>\n",
    "\n",
    "Refer to Notebook 02."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Independent and cumulative (decayed) fission fragment yield (A,Z)<a id=\"cffyaz\"></a>\n",
    "\n",
    "Acquiring the data:\n",
    "\n",
    "+ This data is from `ENDF/B-VIII.0,Ei=0.0253eV` which is the same data base used in the Notebook 02b, but was acquired from a **third-party evaluation**.\n",
    "+ *This data combines the independent and cumulative FPY in one file and it also includes the half-life of the FP*.\n",
    "+ The data also includes both Z and A numbers of the nuclides and whether they are metastable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data sets<a id=\"dataset\"></a>\n",
    "\n",
    "The following data sets are available:\n",
    " + `u-235-fpy-AZ-thermal.csv`\n",
    " + `u-233-fpy-AZ-thermal.csv`\n",
    " + `pu-239-fpy-AZ-thermal.csv`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''Select data set'''\n",
    "\n",
    "data_set = 'u-235-fpy-AZ-thermal.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Compare,Nuclide,Half-lives,Ind. Yield(% per fiss.),Cum. Yield(% per fiss.)\n",
      "Compare,54 Xe 134,,0.0105,7.87\n",
      "Compare,53 I 134,52.5 m,0.500,7.83\n",
      "Compare,52 Te 134,41.8 m,6.22,6.97\n",
      "Compare,56 Ba 138,Stable,4.12e-3,6.77\n",
      "...\n",
      "Compare,71 Lu 171m,79 s,no data,no data\n",
      "Compare,71 Lu 172,6.70 d,no data,no data\n",
      "Compare,71 Lu 172m,3.7 m,no data,no data\n",
      "Compare,72 Hf 171,12.1 h,no data,no data\n",
      "Compare,72 Hf 172,1.87 y,no data,no data\n"
     ]
    }
   ],
   "source": [
    "'''View the raw data (edit the file name)'''\n",
    "\n",
    "!head -n 5 data/u-235-fpy-AZ-thermal.csv\n",
    "print('...')\n",
    "!tail -n 5 data/u-235-fpy-AZ-thermal.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "code_folding": [
     2
    ]
   },
   "outputs": [],
   "source": [
    "'''Function to read the blank-spaced column data into a Pandas data frame (table)'''\n",
    "\n",
    "def read_table(file_name):\n",
    "    '''\n",
    "    Read table data into a `pandas` data frame (table).  \n",
    "    \n",
    "    Parameters\n",
    "    ----------\n",
    "    file_name: str, required\n",
    "        File name and its path relative to this notebook.\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    df: pandas.df\n",
    "        `Pandas` data frame (table).\n",
    "\n",
    "    Examples\n",
    "    --------\n",
    "    '''\n",
    "    import pandas as pd\n",
    "    \n",
    "    df = pd.read_csv( file_name,  \n",
    "                      skiprows=0,\n",
    "                      delim_whitespace=False)\n",
    "    \n",
    "    df.fillna('0 s',inplace=True)\n",
    "    \n",
    "# to avoid frustrations, set explicitly the data types of each column\n",
    "    #for c in df.columns: \n",
    "        #if c == 'Y(NO-DIM)':\n",
    "            #continue\n",
    "        #df = df.astype({c:float},copy=False)\n",
    "\n",
    "    #print(df.dtypes)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''Read data'''\n",
    "\n",
    "fpy_az_df = read_table('data/'+data_set)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Compare</th>\n",
       "      <th>Nuclide</th>\n",
       "      <th>Half-lives</th>\n",
       "      <th>Ind. Yield(% per fiss.)</th>\n",
       "      <th>Cum. Yield(% per fiss.)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Compare</td>\n",
       "      <td>54 Xe 134</td>\n",
       "      <td>0 s</td>\n",
       "      <td>0.0105</td>\n",
       "      <td>7.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Compare</td>\n",
       "      <td>53 I 134</td>\n",
       "      <td>52.5 m</td>\n",
       "      <td>0.500</td>\n",
       "      <td>7.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Compare</td>\n",
       "      <td>52 Te 134</td>\n",
       "      <td>41.8 m</td>\n",
       "      <td>6.22</td>\n",
       "      <td>6.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Compare</td>\n",
       "      <td>56 Ba 138</td>\n",
       "      <td>Stable</td>\n",
       "      <td>4.12e-3</td>\n",
       "      <td>6.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Compare</td>\n",
       "      <td>55 Cs 138</td>\n",
       "      <td>33.41 m</td>\n",
       "      <td>0.243</td>\n",
       "      <td>6.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Compare</td>\n",
       "      <td>54 Xe 133</td>\n",
       "      <td>5.243 d</td>\n",
       "      <td>6.66e-4</td>\n",
       "      <td>6.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Compare</td>\n",
       "      <td>55 Cs 133</td>\n",
       "      <td>Stable</td>\n",
       "      <td>7.92e-7</td>\n",
       "      <td>6.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Compare</td>\n",
       "      <td>53 I 133</td>\n",
       "      <td>20.8 h</td>\n",
       "      <td>0.0825</td>\n",
       "      <td>6.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Compare</td>\n",
       "      <td>55 Cs 135</td>\n",
       "      <td>2.3 My</td>\n",
       "      <td>2.45e-4</td>\n",
       "      <td>6.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Compare</td>\n",
       "      <td>56 Ba 135</td>\n",
       "      <td>Stable</td>\n",
       "      <td>3.82e-8</td>\n",
       "      <td>6.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Compare</td>\n",
       "      <td>54 Xe 135</td>\n",
       "      <td>9.14 h</td>\n",
       "      <td>0.0785</td>\n",
       "      <td>6.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Compare</td>\n",
       "      <td>41 Nb 95</td>\n",
       "      <td>34.991 d</td>\n",
       "      <td>1.06e-4</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Compare</td>\n",
       "      <td>42 Mo 95</td>\n",
       "      <td>Stable</td>\n",
       "      <td>4.94e-10</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Compare</td>\n",
       "      <td>40 Zr 95</td>\n",
       "      <td>64.032 d</td>\n",
       "      <td>0.127</td>\n",
       "      <td>6.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Compare</td>\n",
       "      <td>40 Zr 94</td>\n",
       "      <td>Stable</td>\n",
       "      <td>0.0195</td>\n",
       "      <td>6.47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Compare</td>\n",
       "      <td>39 Y 94</td>\n",
       "      <td>18.7 m</td>\n",
       "      <td>0.390</td>\n",
       "      <td>6.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Compare</td>\n",
       "      <td>57 La 139</td>\n",
       "      <td>Stable</td>\n",
       "      <td>2.27e-5</td>\n",
       "      <td>6.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Compare</td>\n",
       "      <td>56 Ba 139</td>\n",
       "      <td>83.06 m</td>\n",
       "      <td>0.0688</td>\n",
       "      <td>6.41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Compare</td>\n",
       "      <td>39 Y 95</td>\n",
       "      <td>10.3 m</td>\n",
       "      <td>1.11</td>\n",
       "      <td>6.38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Compare</td>\n",
       "      <td>40 Zr 93</td>\n",
       "      <td>1.53 My</td>\n",
       "      <td>1.37e-4</td>\n",
       "      <td>6.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Compare</td>\n",
       "      <td>41 Nb 93</td>\n",
       "      <td>Stable</td>\n",
       "      <td>3.62e-9</td>\n",
       "      <td>6.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Compare</td>\n",
       "      <td>39 Y 93</td>\n",
       "      <td>10.18 h</td>\n",
       "      <td>0.0543</td>\n",
       "      <td>6.35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Compare</td>\n",
       "      <td>55 Cs 139</td>\n",
       "      <td>9.27 m</td>\n",
       "      <td>1.31</td>\n",
       "      <td>6.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Compare</td>\n",
       "      <td>40 Zr 96</td>\n",
       "      <td>2.0E+19 y</td>\n",
       "      <td>0.337</td>\n",
       "      <td>6.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Compare</td>\n",
       "      <td>54 Xe 136</td>\n",
       "      <td>0 s</td>\n",
       "      <td>2.19</td>\n",
       "      <td>6.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Compare</td>\n",
       "      <td>54 Xe 138</td>\n",
       "      <td>14.08 m</td>\n",
       "      <td>4.81</td>\n",
       "      <td>6.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Compare</td>\n",
       "      <td>42 Mo 100</td>\n",
       "      <td>7.3E+18 y</td>\n",
       "      <td>0.0729</td>\n",
       "      <td>6.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Compare</td>\n",
       "      <td>53 I 135</td>\n",
       "      <td>6.57 h</td>\n",
       "      <td>2.93</td>\n",
       "      <td>6.28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Compare</td>\n",
       "      <td>38 Sr 93</td>\n",
       "      <td>7.423 m</td>\n",
       "      <td>2.57</td>\n",
       "      <td>6.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Compare</td>\n",
       "      <td>57 La 140</td>\n",
       "      <td>1.67855 d</td>\n",
       "      <td>5.22e-3</td>\n",
       "      <td>6.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>Compare</td>\n",
       "      <td>67 Ho 161m</td>\n",
       "      <td>6.76 s</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>Compare</td>\n",
       "      <td>67 Ho 162</td>\n",
       "      <td>15 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>Compare</td>\n",
       "      <td>67 Ho 162m</td>\n",
       "      <td>67.0 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1220</th>\n",
       "      <td>Compare</td>\n",
       "      <td>67 Ho 163</td>\n",
       "      <td>4.570 ky</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>Compare</td>\n",
       "      <td>67 Ho 163m</td>\n",
       "      <td>1.09 s</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>Compare</td>\n",
       "      <td>67 Ho 164m</td>\n",
       "      <td>37.5 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>Compare</td>\n",
       "      <td>68 Er 161</td>\n",
       "      <td>3.21 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>Compare</td>\n",
       "      <td>68 Er 162</td>\n",
       "      <td>Stable</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1225</th>\n",
       "      <td>Compare</td>\n",
       "      <td>68 Er 163</td>\n",
       "      <td>75.0 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1226</th>\n",
       "      <td>Compare</td>\n",
       "      <td>68 Er 164</td>\n",
       "      <td>Stable</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1227</th>\n",
       "      <td>Compare</td>\n",
       "      <td>68 Er 165</td>\n",
       "      <td>10.36 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1228</th>\n",
       "      <td>Compare</td>\n",
       "      <td>69 Tm 165</td>\n",
       "      <td>30.06 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1229</th>\n",
       "      <td>Compare</td>\n",
       "      <td>69 Tm 166</td>\n",
       "      <td>7.70 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1230</th>\n",
       "      <td>Compare</td>\n",
       "      <td>69 Tm 167</td>\n",
       "      <td>9.25 d</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1231</th>\n",
       "      <td>Compare</td>\n",
       "      <td>69 Tm 168</td>\n",
       "      <td>93.1 d</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1232</th>\n",
       "      <td>Compare</td>\n",
       "      <td>69 Tm 170</td>\n",
       "      <td>128.6 d</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1233</th>\n",
       "      <td>Compare</td>\n",
       "      <td>70 Yb 166</td>\n",
       "      <td>56.7 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1234</th>\n",
       "      <td>Compare</td>\n",
       "      <td>70 Yb 167</td>\n",
       "      <td>17.5 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1235</th>\n",
       "      <td>Compare</td>\n",
       "      <td>70 Yb 168</td>\n",
       "      <td>Stable</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>Compare</td>\n",
       "      <td>70 Yb 169</td>\n",
       "      <td>32.018 d</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>Compare</td>\n",
       "      <td>70 Yb 169m</td>\n",
       "      <td>46 s</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1238</th>\n",
       "      <td>Compare</td>\n",
       "      <td>70 Yb 170</td>\n",
       "      <td>Stable</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1239</th>\n",
       "      <td>Compare</td>\n",
       "      <td>71 Lu 169</td>\n",
       "      <td>34.06 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>Compare</td>\n",
       "      <td>71 Lu 169m</td>\n",
       "      <td>2.7 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1241</th>\n",
       "      <td>Compare</td>\n",
       "      <td>71 Lu 171</td>\n",
       "      <td>8.24 d</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1242</th>\n",
       "      <td>Compare</td>\n",
       "      <td>71 Lu 171m</td>\n",
       "      <td>79 s</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1243</th>\n",
       "      <td>Compare</td>\n",
       "      <td>71 Lu 172</td>\n",
       "      <td>6.70 d</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>Compare</td>\n",
       "      <td>71 Lu 172m</td>\n",
       "      <td>3.7 m</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1245</th>\n",
       "      <td>Compare</td>\n",
       "      <td>72 Hf 171</td>\n",
       "      <td>12.1 h</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1246</th>\n",
       "      <td>Compare</td>\n",
       "      <td>72 Hf 172</td>\n",
       "      <td>1.87 y</td>\n",
       "      <td>no data</td>\n",
       "      <td>no data</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1247 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Compare     Nuclide Half-lives Ind. Yield(% per fiss.)  \\\n",
       "0     Compare   54 Xe 134        0 s                  0.0105   \n",
       "1     Compare    53 I 134     52.5 m                   0.500   \n",
       "2     Compare   52 Te 134     41.8 m                    6.22   \n",
       "3     Compare   56 Ba 138     Stable                 4.12e-3   \n",
       "4     Compare   55 Cs 138    33.41 m                   0.243   \n",
       "5     Compare   54 Xe 133    5.243 d                 6.66e-4   \n",
       "6     Compare   55 Cs 133     Stable                 7.92e-7   \n",
       "7     Compare    53 I 133     20.8 h                  0.0825   \n",
       "8     Compare   55 Cs 135     2.3 My                 2.45e-4   \n",
       "9     Compare   56 Ba 135     Stable                 3.82e-8   \n",
       "10    Compare   54 Xe 135     9.14 h                  0.0785   \n",
       "11    Compare    41 Nb 95   34.991 d                 1.06e-4   \n",
       "12    Compare    42 Mo 95     Stable                4.94e-10   \n",
       "13    Compare    40 Zr 95   64.032 d                   0.127   \n",
       "14    Compare    40 Zr 94     Stable                  0.0195   \n",
       "15    Compare     39 Y 94     18.7 m                   0.390   \n",
       "16    Compare   57 La 139     Stable                 2.27e-5   \n",
       "17    Compare   56 Ba 139    83.06 m                  0.0688   \n",
       "18    Compare     39 Y 95     10.3 m                    1.11   \n",
       "19    Compare    40 Zr 93    1.53 My                 1.37e-4   \n",
       "20    Compare    41 Nb 93     Stable                 3.62e-9   \n",
       "21    Compare     39 Y 93    10.18 h                  0.0543   \n",
       "22    Compare   55 Cs 139     9.27 m                    1.31   \n",
       "23    Compare    40 Zr 96  2.0E+19 y                   0.337   \n",
       "24    Compare   54 Xe 136        0 s                    2.19   \n",
       "25    Compare   54 Xe 138    14.08 m                    4.81   \n",
       "26    Compare   42 Mo 100  7.3E+18 y                  0.0729   \n",
       "27    Compare    53 I 135     6.57 h                    2.93   \n",
       "28    Compare    38 Sr 93    7.423 m                    2.57   \n",
       "29    Compare   57 La 140  1.67855 d                 5.22e-3   \n",
       "...       ...         ...        ...                     ...   \n",
       "1217  Compare  67 Ho 161m     6.76 s                 no data   \n",
       "1218  Compare   67 Ho 162       15 m                 no data   \n",
       "1219  Compare  67 Ho 162m     67.0 m                 no data   \n",
       "1220  Compare   67 Ho 163   4.570 ky                 no data   \n",
       "1221  Compare  67 Ho 163m     1.09 s                 no data   \n",
       "1222  Compare  67 Ho 164m     37.5 m                 no data   \n",
       "1223  Compare   68 Er 161     3.21 h                 no data   \n",
       "1224  Compare   68 Er 162     Stable                 no data   \n",
       "1225  Compare   68 Er 163     75.0 m                 no data   \n",
       "1226  Compare   68 Er 164     Stable                 no data   \n",
       "1227  Compare   68 Er 165    10.36 h                 no data   \n",
       "1228  Compare   69 Tm 165    30.06 h                 no data   \n",
       "1229  Compare   69 Tm 166     7.70 h                 no data   \n",
       "1230  Compare   69 Tm 167     9.25 d                 no data   \n",
       "1231  Compare   69 Tm 168     93.1 d                 no data   \n",
       "1232  Compare   69 Tm 170    128.6 d                 no data   \n",
       "1233  Compare   70 Yb 166     56.7 h                 no data   \n",
       "1234  Compare   70 Yb 167     17.5 m                 no data   \n",
       "1235  Compare   70 Yb 168     Stable                 no data   \n",
       "1236  Compare   70 Yb 169   32.018 d                 no data   \n",
       "1237  Compare  70 Yb 169m       46 s                 no data   \n",
       "1238  Compare   70 Yb 170     Stable                 no data   \n",
       "1239  Compare   71 Lu 169    34.06 h                 no data   \n",
       "1240  Compare  71 Lu 169m      2.7 m                 no data   \n",
       "1241  Compare   71 Lu 171     8.24 d                 no data   \n",
       "1242  Compare  71 Lu 171m       79 s                 no data   \n",
       "1243  Compare   71 Lu 172     6.70 d                 no data   \n",
       "1244  Compare  71 Lu 172m      3.7 m                 no data   \n",
       "1245  Compare   72 Hf 171     12.1 h                 no data   \n",
       "1246  Compare   72 Hf 172     1.87 y                 no data   \n",
       "\n",
       "     Cum. Yield(% per fiss.)  \n",
       "0                       7.87  \n",
       "1                       7.83  \n",
       "2                       6.97  \n",
       "3                       6.77  \n",
       "4                       6.71  \n",
       "5                       6.70  \n",
       "6                       6.70  \n",
       "7                       6.70  \n",
       "8                       6.54  \n",
       "9                       6.54  \n",
       "10                      6.54  \n",
       "11                      6.50  \n",
       "12                      6.50  \n",
       "13                      6.50  \n",
       "14                      6.47  \n",
       "15                      6.45  \n",
       "16                      6.41  \n",
       "17                      6.41  \n",
       "18                      6.38  \n",
       "19                      6.35  \n",
       "20                      6.35  \n",
       "21                      6.35  \n",
       "22                      6.34  \n",
       "23                      6.34  \n",
       "24                      6.31  \n",
       "25                      6.30  \n",
       "26                      6.29  \n",
       "27                      6.28  \n",
       "28                      6.24  \n",
       "29                      6.22  \n",
       "...                      ...  \n",
       "1217                 no data  \n",
       "1218                 no data  \n",
       "1219                 no data  \n",
       "1220                 no data  \n",
       "1221                 no data  \n",
       "1222                 no data  \n",
       "1223                 no data  \n",
       "1224                 no data  \n",
       "1225                 no data  \n",
       "1226                 no data  \n",
       "1227                 no data  \n",
       "1228                 no data  \n",
       "1229                 no data  \n",
       "1230                 no data  \n",
       "1231                 no data  \n",
       "1232                 no data  \n",
       "1233                 no data  \n",
       "1234                 no data  \n",
       "1235                 no data  \n",
       "1236                 no data  \n",
       "1237                 no data  \n",
       "1238                 no data  \n",
       "1239                 no data  \n",
       "1240                 no data  \n",
       "1241                 no data  \n",
       "1242                 no data  \n",
       "1243                 no data  \n",
       "1244                 no data  \n",
       "1245                 no data  \n",
       "1246                 no data  \n",
       "\n",
       "[1247 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''A peek on the raw data'''\n",
    "\n",
    "fpy_az_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "code_folding": [
     2,
     7
    ]
   },
   "outputs": [],
   "source": [
    "'''Function for creating a FP yield(A,Z) list container'''\n",
    "\n",
    "def get_fpy_az( df ):\n",
    "    '''\n",
    "    Create a list of named tuple nuclides\n",
    "    Parameters\n",
    "    ----------\n",
    "    df: pandas data frame, required\n",
    "        Table of data for nuclides.\n",
    "    \n",
    "    Returns\n",
    "    -------\n",
    "    nuclides: list(namedtuple)\n",
    "        List of namedtuples. Names: name, element_name, Z, A, half_life, independent_yield_percent, cumulative_yield_percent.\n",
    "\n",
    "    Examples\n",
    "    --------\n",
    "    '''\n",
    "    \n",
    "    nuclides = list()\n",
    "\n",
    "    # design a container data structure\n",
    "    from collections import namedtuple\n",
    "    FPY = namedtuple('FPY', ['name','element_name','Z','A','half_life','independent_yield_percent','cumulative_yield_percent'])\n",
    "\n",
    "    import pandas as pd\n",
    "\n",
    "    # Use the Mendeleev python package (periodic table of elements)\n",
    "    from mendeleev import element\n",
    "    \n",
    "    total_cumulative_yield = 0.0 # sum total yield\n",
    "    total_independent_yield = 0.0\n",
    "    \n",
    "    for row in df.itertuples(index=False):\n",
    "        \n",
    "        if row[2].strip() == 'Stable': # skip all stable FP\n",
    "            continue\n",
    "            \n",
    "        assert isinstance(row[1],str),'row[1] = %r'%row[1]\n",
    "        \n",
    "        col1 = row[1].strip().split(' ')\n",
    "        assert len(col1) == 3,'col1 = %r'%col1 # must have 3 elements\n",
    "        \n",
    "        z = int(col1[0])\n",
    "        symbol = col1[1]\n",
    "        \n",
    "        if col1[2][-1] == 'm':\n",
    "            a = int(col1[2][0:-1])\n",
    "            nuclide_name = symbol + '-' + str(a) + 'm'\n",
    "        elif col1[2][-1] == 'n':\n",
    "            a = int(col1[2][0:-1])\n",
    "            nuclide_name = symbol + '-' + str(a) + 'n'\n",
    "        else:\n",
    "            a = int(col1[2]) \n",
    "            nuclide_name = symbol+'-'+str(a)\n",
    "        \n",
    "        assert isinstance(row[2],str),'row[2] = %r'%row[2]\n",
    "        \n",
    "        col2 = row[2].strip().split(' ')\n",
    "        assert len(col2) == 2,'col2 = %r'%col2\n",
    "        \n",
    "        half_life_unit = col2[1]\n",
    "        \n",
    "        # convert all values to second\n",
    "        if half_life_unit == 'ns':\n",
    "            half_life = float(col2[0])*1e-9\n",
    "        elif half_life_unit == 'ms':\n",
    "            half_life = float(col2[0])*1e-3\n",
    "        elif half_life_unit == 's':\n",
    "            half_life = float(col2[0])\n",
    "        elif half_life_unit == 'm':\n",
    "            half_life = float(col2[0])*60\n",
    "        elif half_life_unit == 'h':\n",
    "            half_life = float(col2[0])*60*60\n",
    "        elif half_life_unit == 'd':\n",
    "            half_life = float(col2[0])*60*60*24\n",
    "        elif half_life_unit == 'y':\n",
    "            half_life = float(col2[0])*60*60*24*365\n",
    "        elif half_life_unit == 'ky':\n",
    "            half_life = float(col2[0])*60*60*24*365*1e+3\n",
    "        elif half_life_unit == 'My':\n",
    "            half_life = float(col2[0])*60*60*24*365*1e+6\n",
    "        elif half_life_unit == 'Gy':\n",
    "            half_life = float(col2[0])*60*60*24*365*1e+9\n",
    "        else:\n",
    "            assert False,'unit = %r'%half_life_unit\n",
    "        \n",
    "        assert isinstance(row[3],str),'row[3] = %r'%row[3]\n",
    "        if row[3].strip() == 'no data':\n",
    "            independent_yield_value = 0.0\n",
    "        else:\n",
    "            independent_yield_value = float(row[3])\n",
    "        total_independent_yield += independent_yield_value\n",
    "        \n",
    "        assert isinstance(row[4],str),'row[4] = %r'%row[4]\n",
    "        if row[4].strip() == 'no data':\n",
    "            cumulative_yield_value = 0.0\n",
    "        else:\n",
    "            cumulative_yield_value = float(row[4])\n",
    "        total_cumulative_yield += cumulative_yield_value\n",
    "        \n",
    "        element_name = element(z).name\n",
    "        \n",
    "        nuc = FPY( name=nuclide_name, element_name=element_name, Z=z, A=a, \n",
    "                   half_life=half_life,\n",
    "                   independent_yield_percent=independent_yield_value,\n",
    "                   cumulative_yield_percent=cumulative_yield_value )\n",
    "        \n",
    "        nuclides.append(nuc)\n",
    "            \n",
    "    print('Sum of independent yield values in data file = ',round(total_independent_yield,2))\n",
    "    print('Sum of cumulative  yield values in data file = ',round(total_cumulative_yield,2))\n",
    "    return nuclides"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "'''Importing the mendeleev package'''\n",
    "\n",
    "try:\n",
    "    import mendeleev  # creates the `name` mendeleev\n",
    "except ImportError:\n",
    "    print('Installing the \"mendeleev\" package...')\n",
    "    print('')\n",
    "    !pip install mendeleev\n",
    "    import mendeleev"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Sum of independent yield values in data file =  199.86\n",
      "Sum of cumulative  yield values in data file =  685.2\n",
      "Sum of independent yield values in dictionary container =  199.86\n",
      "Sum of cumulative  yield values in dictionary container =  685.2\n",
      "# of FP nuclides =  1111\n"
     ]
    }
   ],
   "source": [
    "'''Create the FP yield(A,Z) list container'''\n",
    "\n",
    "fpy_az = get_fpy_az( fpy_az_df )\n",
    "\n",
    "print('Sum of independent yield values in dictionary container = ',round(sum([fp.independent_yield_percent for fp in fpy_az]),2))\n",
    "print('Sum of cumulative  yield values in dictionary container = ',round(sum([fp.cumulative_yield_percent for fp in fpy_az]),2))\n",
    "print('# of FP nuclides = ', len(fpy_az))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[FPY(name='Xe-134', element_name='Xenon', Z=54, A=134, half_life=0.0, independent_yield_percent=0.0105, cumulative_yield_percent=7.87),\n",
       " FPY(name='I-134', element_name='Iodine', Z=53, A=134, half_life=3150.0, independent_yield_percent=0.5, cumulative_yield_percent=7.83),\n",
       " FPY(name='Te-134', element_name='Tellurium', Z=52, A=134, half_life=2508.0, independent_yield_percent=6.22, cumulative_yield_percent=6.97),\n",
       " FPY(name='Cs-138', element_name='Cesium', Z=55, A=138, half_life=2004.6, independent_yield_percent=0.243, cumulative_yield_percent=6.71),\n",
       " FPY(name='Xe-133', element_name='Xenon', Z=54, A=133, half_life=452995.20000000007, independent_yield_percent=0.000666, cumulative_yield_percent=6.7),\n",
       " FPY(name='I-133', element_name='Iodine', Z=53, A=133, half_life=74880.0, independent_yield_percent=0.0825, cumulative_yield_percent=6.7),\n",
       " FPY(name='Cs-135', element_name='Cesium', Z=55, A=135, half_life=72532800000000.0, independent_yield_percent=0.000245, cumulative_yield_percent=6.54),\n",
       " FPY(name='Xe-135', element_name='Xenon', Z=54, A=135, half_life=32904.00000000001, independent_yield_percent=0.0785, cumulative_yield_percent=6.54),\n",
       " FPY(name='Nb-95', element_name='Niobium', Z=41, A=95, half_life=3023222.4000000004, independent_yield_percent=0.000106, cumulative_yield_percent=6.5),\n",
       " FPY(name='Zr-95', element_name='Zirconium', Z=40, A=95, half_life=5532364.8, independent_yield_percent=0.127, cumulative_yield_percent=6.5),\n",
       " FPY(name='Y-94', element_name='Yttrium', Z=39, A=94, half_life=1122.0, independent_yield_percent=0.39, cumulative_yield_percent=6.45),\n",
       " FPY(name='Ba-139', element_name='Barium', Z=56, A=139, half_life=4983.6, independent_yield_percent=0.0688, cumulative_yield_percent=6.41),\n",
       " FPY(name='Y-95', element_name='Yttrium', Z=39, A=95, half_life=618.0, independent_yield_percent=1.11, cumulative_yield_percent=6.38),\n",
       " FPY(name='Zr-93', element_name='Zirconium', Z=40, A=93, half_life=48250080000000.0, independent_yield_percent=0.000137, cumulative_yield_percent=6.35),\n",
       " FPY(name='Y-93', element_name='Yttrium', Z=39, A=93, half_life=36648.0, independent_yield_percent=0.0543, cumulative_yield_percent=6.35),\n",
       " FPY(name='Cs-139', element_name='Cesium', Z=55, A=139, half_life=556.1999999999999, independent_yield_percent=1.31, cumulative_yield_percent=6.34),\n",
       " FPY(name='Zr-96', element_name='Zirconium', Z=40, A=96, half_life=6.307200000000001e+26, independent_yield_percent=0.337, cumulative_yield_percent=6.34),\n",
       " FPY(name='Xe-136', element_name='Xenon', Z=54, A=136, half_life=0.0, independent_yield_percent=2.19, cumulative_yield_percent=6.31),\n",
       " FPY(name='Xe-138', element_name='Xenon', Z=54, A=138, half_life=844.8, independent_yield_percent=4.81, cumulative_yield_percent=6.3),\n",
       " FPY(name='Mo-100', element_name='Molybdenum', Z=42, A=100, half_life=2.3021279999999997e+26, independent_yield_percent=0.0729, cumulative_yield_percent=6.29),\n",
       " FPY(name='I-135', element_name='Iodine', Z=53, A=135, half_life=23652.000000000004, independent_yield_percent=2.93, cumulative_yield_percent=6.28),\n",
       " FPY(name='Sr-93', element_name='Strontium', Z=38, A=93, half_life=445.38, independent_yield_percent=2.57, cumulative_yield_percent=6.24),\n",
       " FPY(name='La-140', element_name='Lanthanum', Z=57, A=140, half_life=145026.72, independent_yield_percent=0.00522, cumulative_yield_percent=6.22),\n",
       " FPY(name='Ba-140', element_name='Barium', Z=56, A=140, half_life=1101833.28, independent_yield_percent=0.488, cumulative_yield_percent=6.21),\n",
       " FPY(name='Cs-137', element_name='Cesium', Z=55, A=137, half_life=948602880.0, independent_yield_percent=0.06, cumulative_yield_percent=6.19),\n",
       " FPY(name='Xe-137', element_name='Xenon', Z=54, A=137, half_life=229.08, independent_yield_percent=3.19, cumulative_yield_percent=6.13),\n",
       " FPY(name='Mo-99', element_name='Molybdenum', Z=42, A=99, half_life=237513.59999999998, independent_yield_percent=0.0428, cumulative_yield_percent=6.11),\n",
       " FPY(name='Tc-99', element_name='Technetium', Z=43, A=99, half_life=6657249600000.0, independent_yield_percent=1.23e-07, cumulative_yield_percent=6.11),\n",
       " FPY(name='Sr-94', element_name='Strontium', Z=38, A=94, half_life=75.3, independent_yield_percent=4.51, cumulative_yield_percent=6.06),\n",
       " FPY(name='Nb-93m', element_name='Niobium', Z=41, A=93, half_life=508675680.0, independent_yield_percent=8.49e-10, cumulative_yield_percent=6.03),\n",
       " FPY(name='Y-92', element_name='Yttrium', Z=39, A=92, half_life=12744.0, independent_yield_percent=0.0715, cumulative_yield_percent=6.01),\n",
       " FPY(name='Y-96', element_name='Yttrium', Z=39, A=96, half_life=5.34, independent_yield_percent=0.224, cumulative_yield_percent=6.0),\n",
       " FPY(name='Nb-97', element_name='Niobium', Z=41, A=97, half_life=4326.0, independent_yield_percent=0.0108, cumulative_yield_percent=6.0),\n",
       " FPY(name='Zr-97', element_name='Zirconium', Z=40, A=97, half_life=60296.399999999994, independent_yield_percent=1.09, cumulative_yield_percent=5.98),\n",
       " FPY(name='Ce-143', element_name='Cerium', Z=58, A=143, half_life=118940.40000000001, independent_yield_percent=0.0313, cumulative_yield_percent=5.96),\n",
       " FPY(name='Pr-143', element_name='Praseodymium', Z=59, A=143, half_life=1172448.0, independent_yield_percent=4.5e-07, cumulative_yield_percent=5.96),\n",
       " FPY(name='Sr-92', element_name='Strontium', Z=38, A=92, half_life=9756.0, independent_yield_percent=1.08, cumulative_yield_percent=5.94),\n",
       " FPY(name='La-143', element_name='Lanthanum', Z=57, A=143, half_life=852.0, independent_yield_percent=0.379, cumulative_yield_percent=5.92),\n",
       " FPY(name='Ba-137m', element_name='Barium', Z=56, A=137, half_life=153.12, independent_yield_percent=0.000133, cumulative_yield_percent=5.85),\n",
       " FPY(name='Ce-142', element_name='Cerium', Z=58, A=142, half_life=0.0, independent_yield_percent=0.000176, cumulative_yield_percent=5.85),\n",
       " FPY(name='La-142', element_name='Lanthanum', Z=57, A=142, half_life=5466.0, independent_yield_percent=0.0965, cumulative_yield_percent=5.85),\n",
       " FPY(name='Ce-141', element_name='Cerium', Z=58, A=141, half_life=2808691.2, independent_yield_percent=4.99e-06, cumulative_yield_percent=5.85),\n",
       " FPY(name='La-141', element_name='Lanthanum', Z=57, A=141, half_life=14112.0, independent_yield_percent=0.0185, cumulative_yield_percent=5.85),\n",
       " FPY(name='Ba-141', element_name='Barium', Z=56, A=141, half_life=1096.2, independent_yield_percent=1.66, cumulative_yield_percent=5.83),\n",
       " FPY(name='Y-91', element_name='Yttrium', Z=39, A=91, half_life=5055264.0, independent_yield_percent=0.000165, cumulative_yield_percent=5.83),\n",
       " FPY(name='Sr-91', element_name='Strontium', Z=38, A=91, half_life=34668.00000000001, independent_yield_percent=0.25, cumulative_yield_percent=5.83),\n",
       " FPY(name='Sr-90', element_name='Strontium', Z=38, A=90, half_life=907921439.9999999, independent_yield_percent=0.0737, cumulative_yield_percent=5.78),\n",
       " FPY(name='Y-90', element_name='Yttrium', Z=39, A=90, half_life=230400.0, independent_yield_percent=4.48e-06, cumulative_yield_percent=5.78),\n",
       " FPY(name='Ba-142', element_name='Barium', Z=56, A=142, half_life=636.0, independent_yield_percent=3.01, cumulative_yield_percent=5.75),\n",
       " FPY(name='Nb-98', element_name='Niobium', Z=41, A=98, half_life=2.86, independent_yield_percent=0.116, cumulative_yield_percent=5.75),\n",
       " FPY(name='Cs-140', element_name='Cesium', Z=55, A=140, half_life=63.7, independent_yield_percent=2.07, cumulative_yield_percent=5.72),\n",
       " FPY(name='Zr-98', element_name='Zirconium', Z=40, A=98, half_life=30.7, independent_yield_percent=2.57, cumulative_yield_percent=5.64),\n",
       " FPY(name='Zr-99', element_name='Zirconium', Z=40, A=99, half_life=2.1, independent_yield_percent=3.58, cumulative_yield_percent=5.63),\n",
       " FPY(name='Nb-97m', element_name='Niobium', Z=41, A=97, half_life=58.7, independent_yield_percent=0.00245, cumulative_yield_percent=5.63),\n",
       " FPY(name='Zr-100', element_name='Zirconium', Z=40, A=100, half_life=7.1, independent_yield_percent=4.98, cumulative_yield_percent=5.58),\n",
       " FPY(name='Rb-91', element_name='Rubidium', Z=37, A=91, half_life=58.4, independent_yield_percent=2.22, cumulative_yield_percent=5.58),\n",
       " FPY(name='Ba-143', element_name='Barium', Z=56, A=143, half_life=14.5, independent_yield_percent=4.1, cumulative_yield_percent=5.54),\n",
       " FPY(name='Nd-144', element_name='Neodymium', Z=60, A=144, half_life=7.221744e+22, independent_yield_percent=9.57e-09, cumulative_yield_percent=5.5),\n",
       " FPY(name='Ce-144', element_name='Cerium', Z=58, A=144, half_life=24616224.000000004, independent_yield_percent=0.0345, cumulative_yield_percent=5.5),\n",
       " FPY(name='Pr-144', element_name='Praseodymium', Z=59, A=144, half_life=1036.8000000000002, independent_yield_percent=1.43e-06, cumulative_yield_percent=5.5),\n",
       " FPY(name='La-144', element_name='Lanthanum', Z=57, A=144, half_life=40.8, independent_yield_percent=1.07, cumulative_yield_percent=5.47),\n",
       " FPY(name='Tc-99m', element_name='Technetium', Z=43, A=99, half_life=21624.120000000003, independent_yield_percent=2.89e-08, cumulative_yield_percent=5.38),\n",
       " FPY(name='Sr-95', element_name='Strontium', Z=38, A=95, half_life=23.9, independent_yield_percent=4.54, cumulative_yield_percent=5.27),\n",
       " FPY(name='Tc-101', element_name='Technetium', Z=43, A=101, half_life=852.0, independent_yield_percent=0.000161, cumulative_yield_percent=5.17),\n",
       " FPY(name='Mo-101', element_name='Molybdenum', Z=42, A=101, half_life=876.5999999999999, independent_yield_percent=0.186, cumulative_yield_percent=5.17),\n",
       " FPY(name='Xe-139', element_name='Xenon', Z=54, A=139, half_life=39.68, independent_yield_percent=4.32, cumulative_yield_percent=5.04),\n",
       " FPY(name='Nb-101', element_name='Niobium', Z=41, A=101, half_life=7.1, independent_yield_percent=1.92, cumulative_yield_percent=4.99),\n",
       " FPY(name='Y-97', element_name='Yttrium', Z=39, A=97, half_life=3.75, independent_yield_percent=1.57, cumulative_yield_percent=4.89),\n",
       " FPY(name='Kr-90', element_name='Krypton', Z=36, A=90, half_life=32.32, independent_yield_percent=4.4, cumulative_yield_percent=4.86),\n",
       " FPY(name='Rb-92', element_name='Rubidium', Z=37, A=92, half_life=4.492, independent_yield_percent=3.13, cumulative_yield_percent=4.82),\n",
       " FPY(name='Sr-89', element_name='Strontium', Z=38, A=89, half_life=4365792.0, independent_yield_percent=0.0175, cumulative_yield_percent=4.73),\n",
       " FPY(name='Rb-89', element_name='Rubidium', Z=37, A=89, half_life=909.0, independent_yield_percent=0.205, cumulative_yield_percent=4.72),\n",
       " FPY(name='Kr-89', element_name='Krypton', Z=36, A=89, half_life=189.0, independent_yield_percent=3.44, cumulative_yield_percent=4.51),\n",
       " FPY(name='Rb-90', element_name='Rubidium', Z=37, A=90, half_life=158.0, independent_yield_percent=0.139, cumulative_yield_percent=4.5),\n",
       " FPY(name='Ba-144', element_name='Barium', Z=56, A=144, half_life=11.5, independent_yield_percent=3.97, cumulative_yield_percent=4.4),\n",
       " FPY(name='I-132', element_name='Iodine', Z=53, A=132, half_life=8262.0, independent_yield_percent=0.00913, cumulative_yield_percent=4.31),\n",
       " FPY(name='Te-132', element_name='Tellurium', Z=52, A=132, half_life=276825.60000000003, independent_yield_percent=1.53, cumulative_yield_percent=4.29),\n",
       " FPY(name='Tc-102m', element_name='Technetium', Z=43, A=102, half_life=261.0, independent_yield_percent=0.00955, cumulative_yield_percent=4.29),\n",
       " FPY(name='Mo-102', element_name='Molybdenum', Z=42, A=102, half_life=678.0, independent_yield_percent=0.651, cumulative_yield_percent=4.28),\n",
       " FPY(name='Cs-141', element_name='Cesium', Z=55, A=141, half_life=24.84, independent_yield_percent=2.92, cumulative_yield_percent=4.17),\n",
       " FPY(name='Te-133m', element_name='Tellurium', Z=52, A=133, half_life=3324.0, independent_yield_percent=2.99, cumulative_yield_percent=3.99),\n",
       " FPY(name='Nb-99', element_name='Niobium', Z=41, A=99, half_life=15.0, independent_yield_percent=0.03, cumulative_yield_percent=3.97),\n",
       " FPY(name='Pr-145', element_name='Praseodymium', Z=59, A=145, half_life=21542.4, independent_yield_percent=0.000333, cumulative_yield_percent=3.93),\n",
       " FPY(name='Ce-145', element_name='Cerium', Z=58, A=145, half_life=180.6, independent_yield_percent=0.0854, cumulative_yield_percent=3.93),\n",
       " FPY(name='La-145', element_name='Lanthanum', Z=57, A=145, half_life=24.8, independent_yield_percent=1.91, cumulative_yield_percent=3.85),\n",
       " FPY(name='Sr-96', element_name='Strontium', Z=38, A=96, half_life=1.07, independent_yield_percent=3.57, cumulative_yield_percent=3.76),\n",
       " FPY(name='Xe-140', element_name='Xenon', Z=54, A=140, half_life=13.6, independent_yield_percent=3.51, cumulative_yield_percent=3.65),\n",
       " FPY(name='Rb-88', element_name='Rubidium', Z=37, A=88, half_life=1066.3799999999999, independent_yield_percent=0.0223, cumulative_yield_percent=3.57),\n",
       " FPY(name='Kr-88', element_name='Krypton', Z=36, A=88, half_life=10223.999999999998, independent_yield_percent=1.73, cumulative_yield_percent=3.55),\n",
       " FPY(name='Rb-93', element_name='Rubidium', Z=37, A=93, half_life=5.84, independent_yield_percent=3.07, cumulative_yield_percent=3.55),\n",
       " FPY(name='Y-91m', element_name='Yttrium', Z=39, A=91, half_life=2982.6, independent_yield_percent=0.000165, cumulative_yield_percent=3.38),\n",
       " FPY(name='Kr-91', element_name='Krypton', Z=36, A=91, half_life=8.57, independent_yield_percent=3.16, cumulative_yield_percent=3.35),\n",
       " FPY(name='Te-135', element_name='Tellurium', Z=52, A=135, half_life=19.0, independent_yield_percent=3.22, cumulative_yield_percent=3.34),\n",
       " FPY(name='Nb-100', element_name='Niobium', Z=41, A=100, half_life=1.5, independent_yield_percent=0.319, cumulative_yield_percent=3.11),\n",
       " FPY(name='Nb-100m', element_name='Niobium', Z=41, A=100, half_life=2.99, independent_yield_percent=0.319, cumulative_yield_percent=3.11),\n",
       " FPY(name='Zr-101', element_name='Zirconium', Z=40, A=101, half_life=2.3, independent_yield_percent=2.79, cumulative_yield_percent=3.07),\n",
       " FPY(name='I-137', element_name='Iodine', Z=53, A=137, half_life=24.5, independent_yield_percent=2.62, cumulative_yield_percent=3.07),\n",
       " FPY(name='Te-133', element_name='Tellurium', Z=52, A=133, half_life=750.0, independent_yield_percent=1.15, cumulative_yield_percent=3.06),\n",
       " FPY(name='Ru-103', element_name='Ruthenium', Z=44, A=103, half_life=3390940.8000000003, independent_yield_percent=2.36e-05, cumulative_yield_percent=3.03),\n",
       " FPY(name='Tc-103', element_name='Technetium', Z=43, A=103, half_life=54.2, independent_yield_percent=0.0822, cumulative_yield_percent=3.03),\n",
       " FPY(name='Rh-103m', element_name='Rhodium', Z=45, A=103, half_life=3366.8399999999997, independent_yield_percent=4.27e-10, cumulative_yield_percent=3.0),\n",
       " FPY(name='Pr-146', element_name='Praseodymium', Z=59, A=146, half_life=1449.0, independent_yield_percent=0.00362, cumulative_yield_percent=3.0),\n",
       " FPY(name='Ce-146', element_name='Cerium', Z=58, A=146, half_life=811.1999999999999, independent_yield_percent=0.583, cumulative_yield_percent=2.99),\n",
       " FPY(name='Mo-103', element_name='Molybdenum', Z=42, A=103, half_life=67.5, independent_yield_percent=1.04, cumulative_yield_percent=2.95),\n",
       " FPY(name='I-131', element_name='Iodine', Z=53, A=131, half_life=693377.28, independent_yield_percent=0.00392, cumulative_yield_percent=2.89),\n",
       " FPY(name='Nb-102', element_name='Niobium', Z=41, A=102, half_life=4.3, independent_yield_percent=0.789, cumulative_yield_percent=2.84),\n",
       " FPY(name='Cs-142', element_name='Cesium', Z=55, A=142, half_life=1.684, independent_yield_percent=2.28, cumulative_yield_percent=2.72),\n",
       " FPY(name='I-136', element_name='Iodine', Z=53, A=136, half_life=83.39999999999999, independent_yield_percent=1.32, cumulative_yield_percent=2.64),\n",
       " FPY(name='Rb-87', element_name='Rubidium', Z=37, A=87, half_life=1.5168816e+18, independent_yield_percent=0.0025, cumulative_yield_percent=2.56),\n",
       " FPY(name='Kr-87', element_name='Krypton', Z=36, A=87, half_life=4578.0, independent_yield_percent=0.463, cumulative_yield_percent=2.56),\n",
       " FPY(name='Sb-131', element_name='Antimony', Z=51, A=131, half_life=1381.8000000000002, independent_yield_percent=1.65, cumulative_yield_percent=2.56),\n",
       " FPY(name='Te-131', element_name='Tellurium', Z=52, A=131, half_life=1500.0, independent_yield_percent=0.097, cumulative_yield_percent=2.55),\n",
       " FPY(name='Sb-133', element_name='Antimony', Z=51, A=133, half_life=150.0, independent_yield_percent=2.26, cumulative_yield_percent=2.4),\n",
       " FPY(name='Nd-147', element_name='Neodymium', Z=60, A=147, half_life=948672.0000000002, independent_yield_percent=6.72e-05, cumulative_yield_percent=2.25),\n",
       " FPY(name='Pm-147', element_name='Promethium', Z=61, A=147, half_life=82731542.4, independent_yield_percent=2.49e-09, cumulative_yield_percent=2.25),\n",
       " FPY(name='Sm-147', element_name='Samarium', Z=62, A=147, half_life=3.342816e+18, independent_yield_percent=0.0, cumulative_yield_percent=2.25),\n",
       " FPY(name='Pr-147', element_name='Praseodymium', Z=59, A=147, half_life=804.0, independent_yield_percent=0.36, cumulative_yield_percent=2.25),\n",
       " FPY(name='Y-93m', element_name='Yttrium', Z=39, A=93, half_life=0.8200000000000001, independent_yield_percent=0.0543, cumulative_yield_percent=2.21),\n",
       " FPY(name='Nb-99m', element_name='Niobium', Z=41, A=99, half_life=150.0, independent_yield_percent=0.407, cumulative_yield_percent=2.1),\n",
       " FPY(name='Y-99', element_name='Yttrium', Z=39, A=99, half_life=1.47, independent_yield_percent=1.95, cumulative_yield_percent=2.08),\n",
       " FPY(name='Zr-102', element_name='Zirconium', Z=40, A=102, half_life=2.9, independent_yield_percent=1.78, cumulative_yield_percent=2.05),\n",
       " FPY(name='Br-87', element_name='Bromine', Z=35, A=87, half_life=55.65, independent_yield_percent=1.27, cumulative_yield_percent=2.03),\n",
       " FPY(name='Y-96m', element_name='Yttrium', Z=39, A=96, half_life=9.6, independent_yield_percent=2.02, cumulative_yield_percent=2.02),\n",
       " FPY(name='Ba-145', element_name='Barium', Z=56, A=145, half_life=4.31, independent_yield_percent=1.87, cumulative_yield_percent=1.93),\n",
       " FPY(name='Y-98', element_name='Yttrium', Z=39, A=98, half_life=0.548, independent_yield_percent=1.11, cumulative_yield_percent=1.92),\n",
       " FPY(name='Nb-103', element_name='Niobium', Z=41, A=103, half_life=1.5, independent_yield_percent=1.41, cumulative_yield_percent=1.91),\n",
       " FPY(name='Ce-147', element_name='Cerium', Z=58, A=147, half_life=56.4, independent_yield_percent=0.998, cumulative_yield_percent=1.89),\n",
       " FPY(name='Tc-104', element_name='Technetium', Z=43, A=104, half_life=1098.0, independent_yield_percent=0.0926, cumulative_yield_percent=1.88),\n",
       " FPY(name='Te-130', element_name='Tellurium', Z=52, A=130, half_life=0.0, independent_yield_percent=0.0579, cumulative_yield_percent=1.81),\n",
       " FPY(name='Mo-104', element_name='Molybdenum', Z=42, A=104, half_life=60.0, independent_yield_percent=1.13, cumulative_yield_percent=1.79),\n",
       " FPY(name='Br-88', element_name='Bromine', Z=35, A=88, half_life=16.29, independent_yield_percent=1.39, cumulative_yield_percent=1.78),\n",
       " FPY(name='Sr-97', element_name='Strontium', Z=38, A=97, half_life=0.429, independent_yield_percent=1.72, cumulative_yield_percent=1.75),\n",
       " FPY(name='Kr-92', element_name='Krypton', Z=36, A=92, half_life=1.84, independent_yield_percent=1.66, cumulative_yield_percent=1.67),\n",
       " FPY(name='La-146', element_name='Lanthanum', Z=57, A=146, half_life=6.27, independent_yield_percent=0.745, cumulative_yield_percent=1.67),\n",
       " FPY(name='Rb-94', element_name='Rubidium', Z=37, A=94, half_life=2.702, independent_yield_percent=1.57, cumulative_yield_percent=1.65),\n",
       " FPY(name='Pr-148', element_name='Praseodymium', Z=59, A=148, half_life=137.4, independent_yield_percent=0.0389, cumulative_yield_percent=1.63),\n",
       " FPY(name='Sb-132', element_name='Antimony', Z=51, A=132, half_life=167.4, independent_yield_percent=1.3, cumulative_yield_percent=1.6),\n",
       " FPY(name='Br-86', element_name='Bromine', Z=35, A=86, half_life=55.0, independent_yield_percent=0.23, cumulative_yield_percent=1.59),\n",
       " FPY(name='Ce-148', element_name='Cerium', Z=58, A=148, half_life=56.0, independent_yield_percent=1.24, cumulative_yield_percent=1.59),\n",
       " FPY(name='I-138', element_name='Iodine', Z=53, A=138, half_life=6.23, independent_yield_percent=1.42, cumulative_yield_percent=1.49),\n",
       " FPY(name='Cs-143', element_name='Cesium', Z=55, A=143, half_life=1.791, independent_yield_percent=1.4, cumulative_yield_percent=1.45),\n",
       " FPY(name='Se-86', element_name='Selenium', Z=34, A=86, half_life=14.3, independent_yield_percent=0.836, cumulative_yield_percent=1.37),\n",
       " FPY(name='Te-136', element_name='Tellurium', Z=52, A=136, half_life=17.5, independent_yield_percent=1.32, cumulative_yield_percent=1.34),\n",
       " FPY(name='Kr-85m', element_name='Krypton', Z=36, A=85, half_life=16128.0, independent_yield_percent=0.00589, cumulative_yield_percent=1.29),\n",
       " FPY(name='Br-85', element_name='Bromine', Z=35, A=85, half_life=174.0, independent_yield_percent=0.235, cumulative_yield_percent=1.28),\n",
       " FPY(name='I-136m', element_name='Iodine', Z=53, A=136, half_life=46.9, independent_yield_percent=1.25, cumulative_yield_percent=1.26),\n",
       " FPY(name='Xe-141', element_name='Xenon', Z=54, A=141, half_life=1.73, independent_yield_percent=1.22, cumulative_yield_percent=1.25),\n",
       " FPY(name='Rb-90m', element_name='Rubidium', Z=37, A=90, half_life=258.0, independent_yield_percent=0.707, cumulative_yield_percent=1.24),\n",
       " FPY(name='Sb-132m', element_name='Antimony', Z=51, A=132, half_life=246.0, independent_yield_percent=0.863, cumulative_yield_percent=1.16),\n",
       " FPY(name='Y-98m', element_name='Yttrium', Z=39, A=98, half_life=2.0, independent_yield_percent=1.11, cumulative_yield_percent=1.11),\n",
       " FPY(name='Xe-135m', element_name='Xenon', Z=54, A=135, half_life=917.4, independent_yield_percent=0.178, cumulative_yield_percent=1.1),\n",
       " FPY(name='Br-89', element_name='Bromine', Z=35, A=89, half_life=4.4, independent_yield_percent=1.04, cumulative_yield_percent=1.09),\n",
       " FPY(name='Pm-149', element_name='Promethium', Z=61, A=149, half_life=191087.99999999997, independent_yield_percent=3.87e-06, cumulative_yield_percent=1.08),\n",
       " FPY(name='Nd-149', element_name='Neodymium', Z=60, A=149, half_life=6220.799999999999, independent_yield_percent=0.00681, cumulative_yield_percent=1.08),\n",
       " FPY(name='Pr-149', element_name='Praseodymium', Z=59, A=149, half_life=135.6, independent_yield_percent=0.297, cumulative_yield_percent=1.07),\n",
       " FPY(name='Br-84', element_name='Bromine', Z=35, A=84, half_life=1905.6000000000001, independent_yield_percent=0.0186, cumulative_yield_percent=0.985),\n",
       " FPY(name='Sb-130m', element_name='Antimony', Z=51, A=130, half_life=378.0, independent_yield_percent=0.357, cumulative_yield_percent=0.967),\n",
       " FPY(name='Se-84', element_name='Selenium', Z=34, A=84, half_life=195.6, independent_yield_percent=0.631, cumulative_yield_percent=0.966),\n",
       " FPY(name='Tc-105', element_name='Technetium', Z=43, A=105, half_life=456.0, independent_yield_percent=0.0485, cumulative_yield_percent=0.964),\n",
       " FPY(name='Ru-105', element_name='Ruthenium', Z=44, A=105, half_life=15984.000000000002, independent_yield_percent=1.11e-07, cumulative_yield_percent=0.964),\n",
       " FPY(name='Rh-105', element_name='Rhodium', Z=45, A=105, half_life=127296.0, independent_yield_percent=0.0, cumulative_yield_percent=0.964),\n",
       " FPY(name='Ba-146', element_name='Barium', Z=56, A=146, half_life=2.22, independent_yield_percent=0.914, cumulative_yield_percent=0.92),\n",
       " FPY(name='Mo-105', element_name='Molybdenum', Z=42, A=105, half_life=35.6, independent_yield_percent=0.668, cumulative_yield_percent=0.916),\n",
       " FPY(name='La-147', element_name='Lanthanum', Z=57, A=147, half_life=4.06, independent_yield_percent=0.643, cumulative_yield_percent=0.889),\n",
       " FPY(name='Sr-98', element_name='Strontium', Z=38, A=98, half_life=0.653, independent_yield_percent=0.808, cumulative_yield_percent=0.812),\n",
       " FPY(name='Nb-102m', element_name='Niobium', Z=41, A=102, half_life=1.3, independent_yield_percent=0.789, cumulative_yield_percent=0.789),\n",
       " FPY(name='Sb-130', element_name='Antimony', Z=51, A=130, half_life=2370.0, independent_yield_percent=0.215, cumulative_yield_percent=0.785),\n",
       " FPY(name='Ce-149', element_name='Cerium', Z=58, A=149, half_life=5.3, independent_yield_percent=0.698, cumulative_yield_percent=0.778),\n",
       " FPY(name='I-139', element_name='Iodine', Z=53, A=139, half_life=2.28, independent_yield_percent=0.771, cumulative_yield_percent=0.778),\n",
       " FPY(name='Rb-95', element_name='Rubidium', Z=37, A=95, half_life=0.3777, independent_yield_percent=0.764, cumulative_yield_percent=0.77),\n",
       " FPY(name='Se-87', element_name='Selenium', Z=34, A=87, half_life=5.5, independent_yield_percent=0.731, cumulative_yield_percent=0.76),\n",
       " FPY(name='La-146m', element_name='Lanthanum', Z=57, A=146, half_life=10.0, independent_yield_percent=0.745, cumulative_yield_percent=0.745),\n",
       " FPY(name='Nd-150', element_name='Neodymium', Z=60, A=150, half_life=2.491344e+26, independent_yield_percent=0.0327, cumulative_yield_percent=0.653),\n",
       " FPY(name='Ge-86', element_name='Germanium', Z=32, A=86, half_life=0.095, independent_yield_percent=0.629, cumulative_yield_percent=0.629),\n",
       " FPY(name='Pr-150', element_name='Praseodymium', Z=59, A=150, half_life=6.19, independent_yield_percent=0.218, cumulative_yield_percent=0.621),\n",
       " FPY(name='Sn-130', element_name='Tin', Z=50, A=130, half_life=223.20000000000002, independent_yield_percent=0.542, cumulative_yield_percent=0.611),\n",
       " FPY(name='Y-100', element_name='Yttrium', Z=39, A=100, half_life=0.735, independent_yield_percent=0.567, cumulative_yield_percent=0.61),\n",
       " FPY(name='Sn-132', element_name='Tin', Z=50, A=132, half_life=39.7, independent_yield_percent=0.592, cumulative_yield_percent=0.598),\n",
       " FPY(name='Sn-130m', element_name='Tin', Z=50, A=130, half_life=102.0, independent_yield_percent=0.542, cumulative_yield_percent=0.57),\n",
       " FPY(name='Br-90', element_name='Bromine', Z=35, A=90, half_life=1.92, independent_yield_percent=0.553, cumulative_yield_percent=0.564),\n",
       " FPY(name='Se-85', element_name='Selenium', Z=34, A=85, half_life=31.7, independent_yield_percent=0.447, cumulative_yield_percent=0.556),\n",
       " FPY(name='As-86', element_name='Arsenic', Z=33, A=86, half_life=0.9450000000000001, independent_yield_percent=0.0199, cumulative_yield_percent=0.553),\n",
       " FPY(name='I-129', element_name='Iodine', Z=53, A=129, half_life=495115200000000.0, independent_yield_percent=0.0, cumulative_yield_percent=0.543),\n",
       " FPY(name='Sb-129', element_name='Antimony', Z=51, A=129, half_life=15840.0, independent_yield_percent=0.0641, cumulative_yield_percent=0.543),\n",
       " FPY(name='Kr-83m', element_name='Krypton', Z=36, A=83, half_life=6588.000000000001, independent_yield_percent=1.55e-06, cumulative_yield_percent=0.536),\n",
       " FPY(name='Br-83', element_name='Bromine', Z=35, A=83, half_life=8640.0, independent_yield_percent=0.0195, cumulative_yield_percent=0.536),\n",
       " FPY(name='Te-129', element_name='Tellurium', Z=52, A=129, half_life=4176.0, independent_yield_percent=5.73e-06, cumulative_yield_percent=0.511),\n",
       " FPY(name='Zr-103', element_name='Zirconium', Z=40, A=103, half_life=1.3, independent_yield_percent=0.499, cumulative_yield_percent=0.501),\n",
       " FPY(name='Se-85m', element_name='Selenium', Z=34, A=85, half_life=0.0, independent_yield_percent=0.447, cumulative_yield_percent=0.494),\n",
       " FPY(name='Kr-93', element_name='Krypton', Z=36, A=93, half_life=1.286, independent_yield_percent=0.486, cumulative_yield_percent=0.489),\n",
       " FPY(name='Sn-131', element_name='Tin', Z=50, A=131, half_life=56.0, independent_yield_percent=0.441, cumulative_yield_percent=0.464),\n",
       " FPY(name='Te-137', element_name='Tellurium', Z=52, A=137, half_life=2.49, independent_yield_percent=0.392, cumulative_yield_percent=0.453),\n",
       " FPY(name='Sn-131m', element_name='Tin', Z=50, A=131, half_life=58.4, independent_yield_percent=0.441, cumulative_yield_percent=0.442),\n",
       " FPY(name='Xe-142', element_name='Xenon', Z=54, A=142, half_life=1.23, independent_yield_percent=0.434, cumulative_yield_percent=0.439),\n",
       " FPY(name='Cs-144', element_name='Cesium', Z=55, A=144, half_life=0.994, independent_yield_percent=0.418, cumulative_yield_percent=0.423),\n",
       " FPY(name='Pm-151', element_name='Promethium', Z=61, A=151, half_life=102240.0, independent_yield_percent=0.000642, cumulative_yield_percent=0.419),\n",
       " FPY(name='Sm-151', element_name='Samarium', Z=62, A=151, half_life=2838240000.0, independent_yield_percent=4.75e-07, cumulative_yield_percent=0.419),\n",
       " FPY(name='Eu-151', element_name='Europium', Z=63, A=151, half_life=0.0, independent_yield_percent=2.49e-10, cumulative_yield_percent=0.419),\n",
       " FPY(name='Nd-151', element_name='Neodymium', Z=60, A=151, half_life=746.4, independent_yield_percent=0.0795, cumulative_yield_percent=0.418),\n",
       " FPY(name='Te-131m', element_name='Tellurium', Z=52, A=131, half_life=119664.0, independent_yield_percent=0.233, cumulative_yield_percent=0.412),\n",
       " FPY(name='Ce-150', element_name='Cerium', Z=58, A=150, half_life=4.0, independent_yield_percent=0.392, cumulative_yield_percent=0.402),\n",
       " FPY(name='Ru-106', element_name='Ruthenium', Z=44, A=106, half_life=32123520.0, independent_yield_percent=9.07e-07, cumulative_yield_percent=0.402),\n",
       " FPY(name='Rh-106', element_name='Rhodium', Z=45, A=106, half_life=30.07, independent_yield_percent=0.0, cumulative_yield_percent=0.402),\n",
       " FPY(name='Tc-106', element_name='Technetium', Z=43, A=106, half_life=35.6, independent_yield_percent=0.0268, cumulative_yield_percent=0.402),\n",
       " FPY(name='Se-88', element_name='Selenium', Z=34, A=88, half_life=1.53, independent_yield_percent=0.268, cumulative_yield_percent=0.392),\n",
       " FPY(name='Mo-106', element_name='Molybdenum', Z=42, A=106, half_life=8.73, independent_yield_percent=0.359, cumulative_yield_percent=0.375),\n",
       " FPY(name='Sb-134', element_name='Antimony', Z=51, A=134, half_life=0.78, independent_yield_percent=0.358, cumulative_yield_percent=0.373),\n",
       " FPY(name='Nb-104', element_name='Niobium', Z=41, A=104, half_life=4.9, independent_yield_percent=0.285, cumulative_yield_percent=0.37),\n",
       " FPY(name='I-134m', element_name='Iodine', Z=53, A=134, half_life=211.2, independent_yield_percent=0.364, cumulative_yield_percent=0.364),\n",
       " FPY(name='La-148', element_name='Lanthanum', Z=57, A=148, half_life=1.26, independent_yield_percent=0.336, cumulative_yield_percent=0.358),\n",
       " FPY(name='Sb-134m', element_name='Antimony', Z=51, A=134, half_life=10.07, independent_yield_percent=0.358, cumulative_yield_percent=0.358),\n",
       " FPY(name='Te-128', element_name='Tellurium', Z=52, A=128, half_life=2.775168e+26, independent_yield_percent=0.000172, cumulative_yield_percent=0.349),\n",
       " FPY(name='As-83', element_name='Arsenic', Z=33, A=83, half_life=13.4, independent_yield_percent=0.291, cumulative_yield_percent=0.34),\n",
       " FPY(name='Pr-151', element_name='Praseodymium', Z=59, A=151, half_life=18.9, independent_yield_percent=0.239, cumulative_yield_percent=0.339),\n",
       " FPY(name='Sb-128m', element_name='Antimony', Z=51, A=128, half_life=624.0, independent_yield_percent=0.00637, cumulative_yield_percent=0.338),\n",
       " FPY(name='Sn-128', element_name='Tin', Z=50, A=128, half_life=3544.2, independent_yield_percent=0.15, cumulative_yield_percent=0.332),\n",
       " FPY(name='Nb-104m', element_name='Niobium', Z=41, A=104, half_life=0.9400000000000001, independent_yield_percent=0.285, cumulative_yield_percent=0.285),\n",
       " FPY(name='Kr-85', element_name='Krypton', Z=36, A=85, half_life=339201215.99999994, independent_yield_percent=0.0255, cumulative_yield_percent=0.283),\n",
       " FPY(name='Y-101', element_name='Yttrium', Z=39, A=101, half_life=0.45, independent_yield_percent=0.278, cumulative_yield_percent=0.282),\n",
       " FPY(name='Sn-129', element_name='Tin', Z=50, A=129, half_life=133.8, independent_yield_percent=0.23, cumulative_yield_percent=0.282),\n",
       " FPY(name='Y-102', element_name='Yttrium', Z=39, A=102, half_life=0.36, independent_yield_percent=0.268, cumulative_yield_percent=0.268),\n",
       " FPY(name='Se-83', element_name='Selenium', Z=34, A=83, half_life=1338.0, independent_yield_percent=0.143, cumulative_yield_percent=0.265),\n",
       " FPY(name='Pm-152', element_name='Promethium', Z=61, A=152, half_life=247.20000000000002, independent_yield_percent=0.000928, cumulative_yield_percent=0.265),\n",
       " FPY(name='Nd-152', element_name='Neodymium', Z=60, A=152, half_life=684.0, independent_yield_percent=0.141, cumulative_yield_percent=0.264),\n",
       " FPY(name='Rh-105m', element_name='Rhodium', Z=45, A=105, half_life=40.0, independent_yield_percent=0.0, cumulative_yield_percent=0.26),\n",
       " FPY(name='As-82', element_name='Arsenic', Z=33, A=82, half_life=19.1, independent_yield_percent=0.129, cumulative_yield_percent=0.26),\n",
       " FPY(name='Nb-105', element_name='Niobium', Z=41, A=105, half_life=2.95, independent_yield_percent=0.139, cumulative_yield_percent=0.253),\n",
       " FPY(name='Se-83m', element_name='Selenium', Z=34, A=83, half_life=70.1, independent_yield_percent=0.0335, cumulative_yield_percent=0.251),\n",
       " FPY(name='Ba-147', element_name='Barium', Z=56, A=147, half_life=0.894, independent_yield_percent=0.244, cumulative_yield_percent=0.246),\n",
       " FPY(name='Br-86m', element_name='Bromine', Z=35, A=86, half_life=0.0, independent_yield_percent=0.23, cumulative_yield_percent=0.231),\n",
       " FPY(name='Br-91', element_name='Bromine', Z=35, A=91, half_life=0.541, independent_yield_percent=0.224, cumulative_yield_percent=0.224),\n",
       " FPY(name='Tc-102', element_name='Technetium', Z=43, A=102, half_life=5.28, independent_yield_percent=0.00955, cumulative_yield_percent=0.224),\n",
       " FPY(name='Cs-138m', element_name='Cesium', Z=55, A=138, half_life=174.60000000000002, independent_yield_percent=0.223, cumulative_yield_percent=0.223),\n",
       " FPY(name='As-85', element_name='Arsenic', Z=33, A=85, half_life=2.021, independent_yield_percent=0.121, cumulative_yield_percent=0.219),\n",
       " FPY(name='Rb-96', element_name='Rubidium', Z=37, A=96, half_life=0.203, independent_yield_percent=0.168, cumulative_yield_percent=0.206),\n",
       " FPY(name='Se-81', element_name='Selenium', Z=34, A=81, half_life=1107.0, independent_yield_percent=0.00104, cumulative_yield_percent=0.204),\n",
       " FPY(name='Sn-129m', element_name='Tin', Z=50, A=129, half_life=414.0, independent_yield_percent=0.196, cumulative_yield_percent=0.197),\n",
       " FPY(name='As-81', element_name='Arsenic', Z=33, A=81, half_life=33.3, independent_yield_percent=0.0609, cumulative_yield_percent=0.196),\n",
       " FPY(name='Xe-133m', element_name='Xenon', Z=54, A=133, half_life=189216.0, independent_yield_percent=0.00189, cumulative_yield_percent=0.195),\n",
       " FPY(name='Sm-153', element_name='Samarium', Z=62, A=153, half_life=167400.0, independent_yield_percent=8.01e-05, cumulative_yield_percent=0.158),\n",
       " FPY(name='Pm-153', element_name='Promethium', Z=61, A=153, half_life=315.0, independent_yield_percent=0.0088, cumulative_yield_percent=0.158),\n",
       " FPY(name='Sb-127', element_name='Antimony', Z=51, A=127, half_life=332640.0, independent_yield_percent=0.00709, cumulative_yield_percent=0.157),\n",
       " FPY(name='Te-127', element_name='Tellurium', Z=52, A=127, half_life=33660.0, independent_yield_percent=9.92e-09, cumulative_yield_percent=0.156),\n",
       " FPY(name='I-140', element_name='Iodine', Z=53, A=140, half_life=0.86, independent_yield_percent=0.137, cumulative_yield_percent=0.154),\n",
       " FPY(name='Sn-128m', element_name='Tin', Z=50, A=128, half_life=6.5, independent_yield_percent=0.15, cumulative_yield_percent=0.15),\n",
       " FPY(name='Nd-153', element_name='Neodymium', Z=60, A=153, half_life=31.6, independent_yield_percent=0.111, cumulative_yield_percent=0.149),\n",
       " FPY(name='Ru-107', element_name='Ruthenium', Z=44, A=107, half_life=225.0, independent_yield_percent=4.94e-06, cumulative_yield_percent=0.146),\n",
       " FPY(name='Rh-107', element_name='Rhodium', Z=45, A=107, half_life=1302.0, independent_yield_percent=0.0, cumulative_yield_percent=0.146),\n",
       " FPY(name='Pd-107', element_name='Palladium', Z=46, A=107, half_life=204984000000000.0, independent_yield_percent=0.0, cumulative_yield_percent=0.146),\n",
       " FPY(name='Tc-107', element_name='Technetium', Z=43, A=107, half_life=21.2, independent_yield_percent=0.0224, cumulative_yield_percent=0.146),\n",
       " FPY(name='Sb-135', element_name='Antimony', Z=51, A=135, half_life=1.679, independent_yield_percent=0.145, cumulative_yield_percent=0.146),\n",
       " FPY(name='Sn-133', element_name='Tin', Z=50, A=133, half_life=1.46, independent_yield_percent=0.138, cumulative_yield_percent=0.138),\n",
       " FPY(name='Ge-81', element_name='Germanium', Z=32, A=81, half_life=7.6, independent_yield_percent=0.126, cumulative_yield_percent=0.135),\n",
       " FPY(name='Sr-99', element_name='Strontium', Z=38, A=99, half_life=0.27, independent_yield_percent=0.133, cumulative_yield_percent=0.133),\n",
       " FPY(name='Ge-82', element_name='Germanium', Z=32, A=82, half_life=4.55, independent_yield_percent=0.126, cumulative_yield_percent=0.132),\n",
       " FPY(name='Se-80', element_name='Selenium', Z=34, A=80, half_life=0.0, independent_yield_percent=0.000489, cumulative_yield_percent=0.129),\n",
       " FPY(name='As-80', element_name='Arsenic', Z=33, A=80, half_life=15.2, independent_yield_percent=0.0137, cumulative_yield_percent=0.128),\n",
       " FPY(name='As-84', element_name='Arsenic', Z=33, A=84, half_life=4.2, independent_yield_percent=0.0987, cumulative_yield_percent=0.128),\n",
       " FPY(name='As-88', element_name='Arsenic', Z=33, A=88, half_life=0.112, independent_yield_percent=0.124, cumulative_yield_percent=0.124),\n",
       " FPY(name='Mo-107', element_name='Molybdenum', Z=42, A=107, half_life=3.5, independent_yield_percent=0.121, cumulative_yield_percent=0.124),\n",
       " FPY(name='Pr-152', element_name='Praseodymium', Z=59, A=152, half_life=3.63, independent_yield_percent=0.103, cumulative_yield_percent=0.123),\n",
       " FPY(name='Sn-127', element_name='Tin', Z=50, A=127, half_life=7560.0, independent_yield_percent=0.0867, cumulative_yield_percent=0.119),\n",
       " FPY(name='Zr-105', element_name='Zirconium', Z=40, A=105, half_life=0.6, independent_yield_percent=0.116, cumulative_yield_percent=0.116),\n",
       " FPY(name='Ge-80', element_name='Germanium', Z=32, A=80, half_life=29.5, independent_yield_percent=0.102, cumulative_yield_percent=0.115),\n",
       " FPY(name='Ce-151', element_name='Cerium', Z=58, A=151, half_life=1.76, independent_yield_percent=0.099, cumulative_yield_percent=0.1),\n",
       " FPY(name='As-84m', element_name='Arsenic', Z=33, A=84, half_life=0.0, independent_yield_percent=0.0987, cumulative_yield_percent=0.0987),\n",
       " FPY(name='In-130', element_name='Indium', Z=49, A=130, half_life=0.29, independent_yield_percent=0.00314, cumulative_yield_percent=0.0972),\n",
       " FPY(name='Te-129m', element_name='Tellurium', Z=52, A=129, half_life=2903040.0, independent_yield_percent=1.4e-05, cumulative_yield_percent=0.0902),\n",
       " FPY(name='Cd-130', element_name='Cadmium', Z=48, A=130, half_life=0.162, independent_yield_percent=0.0878, cumulative_yield_percent=0.0878),\n",
       " FPY(name='Kr-94', element_name='Krypton', Z=36, A=94, half_life=0.212, independent_yield_percent=0.0868, cumulative_yield_percent=0.087),\n",
       " FPY(name='Zr-104', element_name='Zirconium', Z=40, A=104, half_life=1.2, independent_yield_percent=0.0828, cumulative_yield_percent=0.0834),\n",
       " FPY(name='I-133m', element_name='Iodine', Z=53, A=133, half_life=9.0, independent_yield_percent=0.0825, cumulative_yield_percent=0.0825),\n",
       " FPY(name='La-149', element_name='Lanthanum', Z=57, A=149, half_life=1.05, independent_yield_percent=0.0799, cumulative_yield_percent=0.0809),\n",
       " FPY(name='Cs-145', element_name='Cesium', Z=55, A=145, half_life=0.587, independent_yield_percent=0.0756, cumulative_yield_percent=0.0757),\n",
       " FPY(name='Sb-137', element_name='Antimony', Z=51, A=137, half_life=0.45, independent_yield_percent=0.0743, cumulative_yield_percent=0.0743),\n",
       " FPY(name='Pm-154', element_name='Promethium', Z=61, A=154, half_life=103.8, independent_yield_percent=0.00541, cumulative_yield_percent=0.0685),\n",
       " FPY(name='Te-138', element_name='Tellurium', Z=52, A=138, half_life=1.4, independent_yield_percent=0.0662, cumulative_yield_percent=0.0662),\n",
       " FPY(name='Nb-95m', element_name='Niobium', Z=41, A=95, half_life=311904.0, independent_yield_percent=2.48e-05, cumulative_yield_percent=0.0651),\n",
       " FPY(name='Nd-154', element_name='Neodymium', Z=60, A=154, half_life=25.9, independent_yield_percent=0.058, cumulative_yield_percent=0.0631),\n",
       " FPY(name='Sb-126m', element_name='Antimony', Z=51, A=126, half_life=1149.0, independent_yield_percent=0.000859, cumulative_yield_percent=0.0579),\n",
       " FPY(name='Sn-126', element_name='Tin', Z=50, A=126, half_life=7253280000000.0, independent_yield_percent=0.0445, cumulative_yield_percent=0.0561),\n",
       " FPY(name='Ru-108', element_name='Ruthenium', Z=44, A=108, half_life=273.0, independent_yield_percent=1.67e-05, cumulative_yield_percent=0.0541),\n",
       " FPY(name='Rh-108', element_name='Rhodium', Z=45, A=108, half_life=16.8, independent_yield_percent=0.0, cumulative_yield_percent=0.0541),\n",
       " FPY(name='Tc-108', element_name='Technetium', Z=43, A=108, half_life=5.17, independent_yield_percent=0.0238, cumulative_yield_percent=0.0541),\n",
       " FPY(name='As-87', element_name='Arsenic', Z=33, A=87, half_life=0.56, independent_yield_percent=0.0505, cumulative_yield_percent=0.0527),\n",
       " FPY(name='Se-89', element_name='Selenium', Z=34, A=89, half_life=0.41000000000000003, independent_yield_percent=0.0485, cumulative_yield_percent=0.0487),\n",
       " FPY(name='Ge-83', element_name='Germanium', Z=32, A=83, half_life=1.85, independent_yield_percent=0.0479, cumulative_yield_percent=0.048),\n",
       " FPY(name='In-127', element_name='Indium', Z=49, A=127, half_life=1.09, independent_yield_percent=0.0412, cumulative_yield_percent=0.0452),\n",
       " FPY(name='Se-79', element_name='Selenium', Z=34, A=79, half_life=9303120000000.0, independent_yield_percent=1.1e-05, cumulative_yield_percent=0.0447),\n",
       " FPY(name='Se-79m', element_name='Selenium', Z=34, A=79, half_life=235.2, independent_yield_percent=1.65e-06, cumulative_yield_percent=0.0447),\n",
       " FPY(name='As-79', element_name='Arsenic', Z=33, A=79, half_life=540.6, independent_yield_percent=0.00266, cumulative_yield_percent=0.0447),\n",
       " FPY(name='Sr-100', element_name='Strontium', Z=38, A=100, half_life=0.202, independent_yield_percent=0.00815, cumulative_yield_percent=0.0429),\n",
       " FPY(name='I-141', element_name='Iodine', Z=53, A=141, half_life=0.43, independent_yield_percent=0.0407, cumulative_yield_percent=0.0407),\n",
       " FPY(name='Xe-131m', element_name='Xenon', Z=54, A=131, half_life=1022976.0, independent_yield_percent=3.48e-07, cumulative_yield_percent=0.0405),\n",
       " FPY(name='Pr-148m', element_name='Praseodymium', Z=59, A=148, half_life=120.6, independent_yield_percent=0.0389, cumulative_yield_percent=0.0389),\n",
       " FPY(name='Nb-98m', element_name='Niobium', Z=41, A=98, half_life=3078.0, independent_yield_percent=0.0385, cumulative_yield_percent=0.0385),\n",
       " FPY(name='Sb-126n', element_name='Antimony', Z=51, A=126, half_life=11.0, independent_yield_percent=0.000859, cumulative_yield_percent=0.0385),\n",
       " FPY(name='Pr-153', element_name='Praseodymium', Z=59, A=153, half_life=4.28, independent_yield_percent=0.0367, cumulative_yield_percent=0.0385),\n",
       " FPY(name='Rb-97', element_name='Rubidium', Z=37, A=97, half_life=0.1691, independent_yield_percent=0.0379, cumulative_yield_percent=0.038),\n",
       " FPY(name='Kr-96', element_name='Krypton', Z=36, A=96, half_life=0.08, independent_yield_percent=0.0378, cumulative_yield_percent=0.0378),\n",
       " FPY(name='Rb-100', element_name='Rubidium', Z=37, A=100, half_life=0.051000000000000004, independent_yield_percent=0.0348, cumulative_yield_percent=0.0348),\n",
       " FPY(name='Sb-125', element_name='Antimony', Z=51, A=125, half_life=86993948.16, independent_yield_percent=2.74e-05, cumulative_yield_percent=0.034),\n",
       " FPY(name='Eu-155', element_name='Europium', Z=63, A=155, half_life=149890607.99999997, independent_yield_percent=2.63e-06, cumulative_yield_percent=0.0321),\n",
       " FPY(name='Sm-155', element_name='Samarium', Z=62, A=155, half_life=1338.0, independent_yield_percent=0.00131, cumulative_yield_percent=0.0321),\n",
       " FPY(name='Xe-134m', element_name='Xenon', Z=54, A=134, half_life=0.29, independent_yield_percent=0.0246, cumulative_yield_percent=0.0319),\n",
       " FPY(name='Rh-109', element_name='Rhodium', Z=45, A=109, half_life=80.0, independent_yield_percent=2.06e-06, cumulative_yield_percent=0.0312),\n",
       " FPY(name='Pd-109', element_name='Palladium', Z=46, A=109, half_life=49324.32, independent_yield_percent=2.94e-10, cumulative_yield_percent=0.0312),\n",
       " FPY(name='Ag-109m', element_name='Silver', Z=47, A=109, half_life=39.6, independent_yield_percent=0.0, cumulative_yield_percent=0.0312),\n",
       " FPY(name='Pm-155', element_name='Promethium', Z=61, A=155, half_life=41.5, independent_yield_percent=0.0126, cumulative_yield_percent=0.0308),\n",
       " FPY(name='Sn-127m', element_name='Tin', Z=50, A=127, half_life=247.79999999999998, independent_yield_percent=0.00792, cumulative_yield_percent=0.0304),\n",
       " FPY(name='Ru-109', element_name='Ruthenium', Z=44, A=109, half_life=34.5, independent_yield_percent=0.000856, cumulative_yield_percent=0.0304),\n",
       " FPY(name='Mo-108', element_name='Molybdenum', Z=42, A=108, half_life=1.09, independent_yield_percent=0.0302, cumulative_yield_percent=0.0303),\n",
       " FPY(name='Ge-84', element_name='Germanium', Z=32, A=84, half_life=0.9540000000000001, independent_yield_percent=0.019, cumulative_yield_percent=0.0301),\n",
       " FPY(name='Ge-79', element_name='Germanium', Z=32, A=79, half_life=18.98, independent_yield_percent=0.0116, cumulative_yield_percent=0.03),\n",
       " FPY(name='Tc-109', element_name='Technetium', Z=43, A=109, half_life=0.86, independent_yield_percent=0.0134, cumulative_yield_percent=0.0294),\n",
       " FPY(name='In-129', element_name='Indium', Z=49, A=129, half_life=0.61, independent_yield_percent=0.0275, cumulative_yield_percent=0.0275),\n",
       " FPY(name='Pr-144m', element_name='Praseodymium', Z=59, A=144, half_life=432.0, independent_yield_percent=1.28e-05, cumulative_yield_percent=0.0275),\n",
       " FPY(name='As-82m', element_name='Arsenic', Z=33, A=82, half_life=13.6, independent_yield_percent=0.0271, cumulative_yield_percent=0.0271),\n",
       " FPY(name='Br-92', element_name='Bromine', Z=35, A=92, half_life=0.343, independent_yield_percent=0.0268, cumulative_yield_percent=0.0268),\n",
       " FPY(name='Xe-143', element_name='Xenon', Z=54, A=143, half_life=0.3, independent_yield_percent=0.0265, cumulative_yield_percent=0.0265),\n",
       " FPY(name='Xe-143m', element_name='Xenon', Z=54, A=143, half_life=0.0, independent_yield_percent=0.0265, cumulative_yield_percent=0.0265),\n",
       " FPY(name='Rh-110', element_name='Rhodium', Z=45, A=110, half_life=3.2, independent_yield_percent=5.65e-05, cumulative_yield_percent=0.0254),\n",
       " FPY(name='In-129m', element_name='Indium', Z=49, A=129, half_life=1.23, independent_yield_percent=0.0253, cumulative_yield_percent=0.0253),\n",
       " FPY(name='Ru-110', element_name='Ruthenium', Z=44, A=110, half_life=11.6, independent_yield_percent=0.00989, cumulative_yield_percent=0.0253),\n",
       " FPY(name='Te-127m', element_name='Tellurium', Z=52, A=127, half_life=9417600.0, independent_yield_percent=2.43e-08, cumulative_yield_percent=0.0251),\n",
       " FPY(name='In-131', element_name='Indium', Z=49, A=131, half_life=0.28, independent_yield_percent=0.00556, cumulative_yield_percent=0.0249),\n",
       " FPY(name='Sb-128', element_name='Antimony', Z=51, A=128, half_life=32436.0, independent_yield_percent=0.0107, cumulative_yield_percent=0.0228),\n",
       " FPY(name='Ba-148', element_name='Barium', Z=56, A=148, half_life=0.612, independent_yield_percent=0.0222, cumulative_yield_percent=0.0222),\n",
       " FPY(name='As-78', element_name='Arsenic', Z=33, A=78, half_life=5442.0, independent_yield_percent=0.00013, cumulative_yield_percent=0.021),\n",
       " FPY(name='Ge-78', element_name='Germanium', Z=32, A=78, half_life=5280.0, independent_yield_percent=0.00694, cumulative_yield_percent=0.0208),\n",
       " FPY(name='Ce-152', element_name='Cerium', Z=58, A=152, half_life=1.4, independent_yield_percent=0.0205, cumulative_yield_percent=0.0206),\n",
       " FPY(name='Ga-79', element_name='Gallium', Z=31, A=79, half_life=2.847, independent_yield_percent=0.0171, cumulative_yield_percent=0.0187),\n",
       " FPY(name='Nd-155', element_name='Neodymium', Z=60, A=155, half_life=8.9, independent_yield_percent=0.0175, cumulative_yield_percent=0.0182),\n",
       " FPY(name='Sn-125m', element_name='Tin', Z=50, A=125, half_life=571.1999999999999, independent_yield_percent=0.0105, cumulative_yield_percent=0.018),\n",
       " FPY(name='Sn-134', element_name='Tin', Z=50, A=134, half_life=1.05, independent_yield_percent=0.0177, cumulative_yield_percent=0.0177),\n",
       " FPY(name='Rh-111', element_name='Rhodium', Z=45, A=111, half_life=11.0, independent_yield_percent=0.00088, cumulative_yield_percent=0.0174),\n",
       " FPY(name='Pd-111', element_name='Palladium', Z=46, A=111, half_life=1404.0, independent_yield_percent=2.54e-06, cumulative_yield_percent=0.0174),\n",
       " FPY(name='Ag-111', element_name='Silver', Z=47, A=111, half_life=643680.0, independent_yield_percent=1.24e-10, cumulative_yield_percent=0.0174),\n",
       " FPY(name='Ag-111m', element_name='Silver', Z=47, A=111, half_life=64.80000000000001, independent_yield_percent=8.28e-10, cumulative_yield_percent=0.0173),\n",
       " FPY(name='Te-140', element_name='Tellurium', Z=52, A=140, half_life=0.304, independent_yield_percent=0.0169, cumulative_yield_percent=0.0169),\n",
       " FPY(name='Br-84m', element_name='Bromine', Z=35, A=84, half_life=360.0, independent_yield_percent=0.0167, cumulative_yield_percent=0.0167),\n",
       " FPY(name='In-128', element_name='Indium', Z=49, A=128, half_life=0.84, independent_yield_percent=0.0131, cumulative_yield_percent=0.0167),\n",
       " FPY(name='Ru-111', element_name='Ruthenium', Z=44, A=111, half_life=2.12, independent_yield_percent=0.0118, cumulative_yield_percent=0.0165),\n",
       " FPY(name='Sn-125', element_name='Tin', Z=50, A=125, half_life=832896.0000000002, independent_yield_percent=0.00854, cumulative_yield_percent=0.016),\n",
       " FPY(name='Mo-109', element_name='Molybdenum', Z=42, A=109, half_life=0.53, independent_yield_percent=0.0155, cumulative_yield_percent=0.016),\n",
       " FPY(name='Nb-106', element_name='Niobium', Z=41, A=106, half_life=0.93, independent_yield_percent=0.0157, cumulative_yield_percent=0.0157),\n",
       " FPY(name='Tc-110', element_name='Technetium', Z=43, A=110, half_life=0.92, independent_yield_percent=0.0116, cumulative_yield_percent=0.0155),\n",
       " FPY(name='Rh-109m', element_name='Rhodium', Z=45, A=109, half_life=0.0, independent_yield_percent=2.06e-06, cumulative_yield_percent=0.0152),\n",
       " FPY(name='Eu-156', element_name='Europium', Z=63, A=156, half_life=1312416.0, independent_yield_percent=1.62e-05, cumulative_yield_percent=0.0149),\n",
       " FPY(name='Sn-123m', element_name='Tin', Z=50, A=123, half_life=2403.6000000000004, independent_yield_percent=0.00031, cumulative_yield_percent=0.0148),\n",
       " FPY(name='Sm-156', element_name='Samarium', Z=62, A=156, half_life=33840.0, independent_yield_percent=0.00303, cumulative_yield_percent=0.0148),\n",
       " FPY(name='In-124', element_name='Indium', Z=49, A=124, half_life=3.12, independent_yield_percent=0.0017, cumulative_yield_percent=0.0144),\n",
       " FPY(name='Pd-113', element_name='Palladium', Z=46, A=113, half_life=93.0, independent_yield_percent=0.00116, cumulative_yield_percent=0.0142),\n",
       " FPY(name='Cd-113', element_name='Cadmium', Z=48, A=113, half_life=2.5354944e+23, independent_yield_percent=2.59e-10, cumulative_yield_percent=0.014),\n",
       " FPY(name='Ga-78', element_name='Gallium', Z=31, A=78, half_life=5.09, independent_yield_percent=0.0103, cumulative_yield_percent=0.0139),\n",
       " FPY(name='In-122', element_name='Indium', Z=49, A=122, half_life=1.5, independent_yield_percent=0.000838, cumulative_yield_percent=0.0139),\n",
       " FPY(name='Cd-131', element_name='Cadmium', Z=48, A=131, half_life=0.068, independent_yield_percent=0.0138, cumulative_yield_percent=0.0138),\n",
       " FPY(name='Cd-116', element_name='Cadmium', Z=48, A=116, half_life=9.776160000000001e+26, independent_yield_percent=3e-05, cumulative_yield_percent=0.0132),\n",
       " FPY(name='In-128m', element_name='Indium', Z=49, A=128, half_life=0.72, independent_yield_percent=0.0131, cumulative_yield_percent=0.0131),\n",
       " FPY(name='Ag-112', element_name='Silver', Z=47, A=112, half_life=11267.999999999998, independent_yield_percent=8.29e-07, cumulative_yield_percent=0.013),\n",
       " FPY(name='Pd-112', element_name='Palladium', Z=46, A=112, half_life=75708.00000000001, independent_yield_percent=0.000128, cumulative_yield_percent=0.013),\n",
       " FPY(name='Rh-113', element_name='Rhodium', Z=45, A=113, half_life=2.8, independent_yield_percent=0.00684, cumulative_yield_percent=0.013),\n",
       " FPY(name='Rh-112', element_name='Rhodium', Z=45, A=112, half_life=2.1, independent_yield_percent=0.0023, cumulative_yield_percent=0.0129),\n",
       " FPY(name='Sn-121', element_name='Tin', Z=50, A=121, half_life=97308.00000000001, independent_yield_percent=0.000358, cumulative_yield_percent=0.0129),\n",
       " FPY(name='Ag-113', element_name='Silver', Z=47, A=113, half_life=19332.0, independent_yield_percent=5.42e-07, cumulative_yield_percent=0.0128),\n",
       " FPY(name='Se-90', element_name='Selenium', Z=34, A=90, half_life=0.161, independent_yield_percent=0.0127, cumulative_yield_percent=0.0127),\n",
       " FPY(name='Cd-124', element_name='Cadmium', Z=48, A=124, half_life=1.25, independent_yield_percent=0.0121, cumulative_yield_percent=0.0127),\n",
       " FPY(name='Cd-122', element_name='Cadmium', Z=48, A=122, half_life=5.24, independent_yield_percent=0.0119, cumulative_yield_percent=0.0126),\n",
       " FPY(name='Ge-79m', element_name='Germanium', Z=32, A=79, half_life=39.0, independent_yield_percent=0.0116, cumulative_yield_percent=0.0126),\n",
       " FPY(name='In-115', element_name='Indium', Z=49, A=115, half_life=1.3907376e+22, independent_yield_percent=1.63e-10, cumulative_yield_percent=0.0122),\n",
       " FPY(name='Cd-120', element_name='Cadmium', Z=48, A=120, half_life=50.8, independent_yield_percent=0.00839, cumulative_yield_percent=0.012),\n",
       " FPY(name='Ga-80', element_name='Gallium', Z=31, A=80, half_life=1.676, independent_yield_percent=0.0117, cumulative_yield_percent=0.0119),\n",
       " FPY(name='In-123', element_name='Indium', Z=49, A=123, half_life=6.17, independent_yield_percent=0.00391, cumulative_yield_percent=0.0119),\n",
       " FPY(name='Ag-114', element_name='Silver', Z=47, A=114, half_life=4.6, independent_yield_percent=0.000917, cumulative_yield_percent=0.0118),\n",
       " FPY(name='Pm-156', element_name='Promethium', Z=61, A=156, half_life=26.7, independent_yield_percent=0.00706, cumulative_yield_percent=0.0118),\n",
       " FPY(name='Cd-115', element_name='Cadmium', Z=48, A=115, half_life=192456.0, independent_yield_percent=9e-07, cumulative_yield_percent=0.0116),\n",
       " FPY(name='In-115m', element_name='Indium', Z=49, A=115, half_life=16149.599999999999, independent_yield_percent=3.82e-11, cumulative_yield_percent=0.0116),\n",
       " FPY(name='Sb-136', element_name='Antimony', Z=51, A=136, half_life=0.923, independent_yield_percent=0.0115, cumulative_yield_percent=0.0115),\n",
       " FPY(name='In-118', element_name='Indium', Z=49, A=118, half_life=5.0, independent_yield_percent=5.06e-06, cumulative_yield_percent=0.0113),\n",
       " FPY(name='Cd-118', element_name='Cadmium', Z=48, A=118, half_life=3018.0, independent_yield_percent=0.00171, cumulative_yield_percent=0.0113),\n",
       " FPY(name='Ga-84', element_name='Gallium', Z=31, A=84, half_life=0.085, independent_yield_percent=0.0111, cumulative_yield_percent=0.0111),\n",
       " FPY(name='Pd-115', element_name='Palladium', Z=46, A=115, half_life=25.0, independent_yield_percent=0.00713, cumulative_yield_percent=0.011),\n",
       " FPY(name='Pd-114', element_name='Palladium', Z=46, A=114, half_life=145.2, independent_yield_percent=0.00416, cumulative_yield_percent=0.0109),\n",
       " FPY(name='Ru-112', element_name='Ruthenium', Z=44, A=112, half_life=1.75, independent_yield_percent=0.00992, cumulative_yield_percent=0.0106),\n",
       " FPY(name='La-150', element_name='Lanthanum', Z=57, A=150, half_life=0.86, independent_yield_percent=0.0104, cumulative_yield_percent=0.0105),\n",
       " FPY(name='Cd-123', element_name='Cadmium', Z=48, A=123, half_life=2.1, independent_yield_percent=0.0101, cumulative_yield_percent=0.0104),\n",
       " FPY(name='In-127m', element_name='Indium', Z=49, A=127, half_life=3.67, independent_yield_percent=0.00625, cumulative_yield_percent=0.0103),\n",
       " FPY(name='In-126m', element_name='Indium', Z=49, A=126, half_life=1.64, independent_yield_percent=0.00165, cumulative_yield_percent=0.00973),\n",
       " FPY(name='Cd-117', element_name='Cadmium', Z=48, A=117, half_life=8964.0, independent_yield_percent=0.000112, cumulative_yield_percent=0.00932),\n",
       " FPY(name='Pd-117', element_name='Palladium', Z=46, A=117, half_life=4.3, independent_yield_percent=0.00877, cumulative_yield_percent=0.00924),\n",
       " FPY(name='I-132m', element_name='Iodine', Z=53, A=132, half_life=4993.2, independent_yield_percent=0.00913, cumulative_yield_percent=0.00913),\n",
       " FPY(name='Sb-126', element_name='Antimony', Z=51, A=126, half_life=1067040.0, independent_yield_percent=0.000651, cumulative_yield_percent=0.00875),\n",
       " FPY(name='In-117m', element_name='Indium', Z=49, A=117, half_life=6973.2, independent_yield_percent=8.59e-08, cumulative_yield_percent=0.00861),\n",
       " FPY(name='In-125', element_name='Indium', Z=49, A=125, half_life=2.36, independent_yield_percent=0.00472, cumulative_yield_percent=0.00861),\n",
       " FPY(name='Ag-116', element_name='Silver', Z=47, A=116, half_life=237.0, independent_yield_percent=0.00474, cumulative_yield_percent=0.0086),\n",
       " FPY(name='Ag-115', element_name='Silver', Z=47, A=115, half_life=1200.0, independent_yield_percent=0.000193, cumulative_yield_percent=0.00823),\n",
       " FPY(name='In-117', element_name='Indium', Z=49, A=117, half_life=2592.0, independent_yield_percent=3.66e-07, cumulative_yield_percent=0.0082),\n",
       " FPY(name='Ga-81', element_name='Gallium', Z=31, A=81, half_life=1.217, independent_yield_percent=0.00818, cumulative_yield_percent=0.00818),\n",
       " FPY(name='Cd-127', element_name='Cadmium', Z=48, A=127, half_life=0.37, independent_yield_percent=0.00815, cumulative_yield_percent=0.00815),\n",
       " FPY(name='Cd-126', element_name='Cadmium', Z=48, A=126, half_life=0.515, independent_yield_percent=0.00808, cumulative_yield_percent=0.00808),\n",
       " FPY(name='As-77', element_name='Arsenic', Z=33, A=77, half_life=139787.99999999997, independent_yield_percent=4.31e-06, cumulative_yield_percent=0.00796),\n",
       " FPY(name='Pd-116', element_name='Palladium', Z=46, A=116, half_life=11.8, independent_yield_percent=0.00682, cumulative_yield_percent=0.00771),\n",
       " FPY(name='Ag-119', element_name='Silver', Z=47, A=119, half_life=2.1, independent_yield_percent=0.00725, cumulative_yield_percent=0.00769),\n",
       " FPY(name='Te-125m', element_name='Tellurium', Z=52, A=125, half_life=4959360.0, independent_yield_percent=2.3e-11, cumulative_yield_percent=0.00765),\n",
       " FPY(name='Cs-146', element_name='Cesium', Z=55, A=146, half_life=0.321, independent_yield_percent=0.00764, cumulative_yield_percent=0.00765),\n",
       " FPY(name='Ga-77', element_name='Gallium', Z=31, A=77, half_life=13.2, independent_yield_percent=0.00408, cumulative_yield_percent=0.00727),\n",
       " FPY(name='Kr-95', element_name='Krypton', Z=36, A=95, half_life=0.114, independent_yield_percent=0.00719, cumulative_yield_percent=0.00719),\n",
       " FPY(name='Ag-118', element_name='Silver', Z=47, A=118, half_life=3.76, independent_yield_percent=0.00342, cumulative_yield_percent=0.00714),\n",
       " FPY(name='Se-81m', element_name='Selenium', Z=34, A=81, half_life=3436.8, independent_yield_percent=0.00693, cumulative_yield_percent=0.00693),\n",
       " FPY(name='In-119', element_name='Indium', Z=49, A=119, half_life=144.0, independent_yield_percent=0.000472, cumulative_yield_percent=0.00688),\n",
       " FPY(name='Rh-114', element_name='Rhodium', Z=45, A=114, half_life=1.85, independent_yield_percent=0.00503, cumulative_yield_percent=0.00676),\n",
       " FPY(name='Te-139', element_name='Tellurium', Z=52, A=139, half_life=0.34700000000000003, independent_yield_percent=0.00666, cumulative_yield_percent=0.00666),\n",
       " FPY(name='In-121m', element_name='Indium', Z=49, A=121, half_life=232.79999999999998, independent_yield_percent=0.000324, cumulative_yield_percent=0.00657),\n",
       " FPY(name='Ge-77m', element_name='Germanium', Z=32, A=77, half_life=52.9, independent_yield_percent=8.91e-05, cumulative_yield_percent=0.00649),\n",
       " FPY(name='In-125m', element_name='Indium', Z=49, A=125, half_life=12.2, independent_yield_percent=0.00472, cumulative_yield_percent=0.00639),\n",
       " FPY(name='In-119m', element_name='Indium', Z=49, A=119, half_life=1080.0, independent_yield_percent=1.59e-05, cumulative_yield_percent=0.00631),\n",
       " FPY(name='In-120', element_name='Indium', Z=49, A=120, half_life=3.08, independent_yield_percent=0.00021, cumulative_yield_percent=0.0063),\n",
       " FPY(name='In-120m', element_name='Indium', Z=49, A=120, half_life=46.2, independent_yield_percent=0.00021, cumulative_yield_percent=0.0063),\n",
       " FPY(name='Cd-119', element_name='Cadmium', Z=48, A=119, half_life=161.4, independent_yield_percent=0.00245, cumulative_yield_percent=0.00629),\n",
       " FPY(name='Ga-82', element_name='Gallium', Z=31, A=82, half_life=0.599, independent_yield_percent=0.00626, cumulative_yield_percent=0.00627),\n",
       " FPY(name='Cd-121', element_name='Cadmium', Z=48, A=121, half_life=13.5, independent_yield_percent=0.00362, cumulative_yield_percent=0.00625),\n",
       " FPY(name='In-132', element_name='Indium', Z=49, A=132, half_life=0.20700000000000002, independent_yield_percent=0.00623, cumulative_yield_percent=0.00623),\n",
       " FPY(name='Ru-113', element_name='Ruthenium', Z=44, A=113, half_life=0.8, independent_yield_percent=0.00605, cumulative_yield_percent=0.00619),\n",
       " FPY(name='In-121', element_name='Indium', Z=49, A=121, half_life=23.1, independent_yield_percent=0.00247, cumulative_yield_percent=0.00617),\n",
       " FPY(name='Eu-157', element_name='Europium', Z=63, A=157, half_life=54648.0, independent_yield_percent=6.35e-05, cumulative_yield_percent=0.00615),\n",
       " FPY(name='Ag-117', element_name='Silver', Z=47, A=117, half_life=72.8, independent_yield_percent=0.00152, cumulative_yield_percent=0.00614),\n",
       " FPY(name='Ag-117m', element_name='Silver', Z=47, A=117, half_life=5.34, independent_yield_percent=0.00152, cumulative_yield_percent=0.00614),\n",
       " FPY(name='Cd-119m', element_name='Cadmium', Z=48, A=119, half_life=132.0, independent_yield_percent=0.00225, cumulative_yield_percent=0.00609),\n",
       " FPY(name='Sm-157', element_name='Samarium', Z=62, A=157, half_life=481.79999999999995, independent_yield_percent=0.00267, cumulative_yield_percent=0.00609),\n",
       " FPY(name='Xe-144', element_name='Xenon', Z=54, A=144, half_life=1.15, independent_yield_percent=0.00605, cumulative_yield_percent=0.00605),\n",
       " FPY(name='I-142', element_name='Iodine', Z=53, A=142, half_life=0.222, independent_yield_percent=0.00586, cumulative_yield_percent=0.00586),\n",
       " FPY(name='Cd-125', element_name='Cadmium', Z=48, A=125, half_life=0.68, independent_yield_percent=0.00555, cumulative_yield_percent=0.00555),\n",
       " FPY(name='Cs-136', element_name='Cesium', Z=55, A=136, half_life=1137024.0, independent_yield_percent=0.00277, cumulative_yield_percent=0.00554),\n",
       " FPY(name='Pm-154m', element_name='Promethium', Z=61, A=154, half_life=160.8, independent_yield_percent=0.00541, cumulative_yield_percent=0.00541),\n",
       " FPY(name='Pr-154', element_name='Praseodymium', Z=59, A=154, half_life=2.3, independent_yield_percent=0.00502, cumulative_yield_percent=0.00511),\n",
       " FPY(name='Nd-156', element_name='Neodymium', Z=60, A=156, half_life=5.49, independent_yield_percent=0.0047, cumulative_yield_percent=0.00474),\n",
       " FPY(name='Tc-111', element_name='Technetium', Z=43, A=111, half_life=0.29, independent_yield_percent=0.00449, cumulative_yield_percent=0.00472),\n",
       " FPY(name='Ag-116m', element_name='Silver', Z=47, A=116, half_life=20.0, independent_yield_percent=0.000765, cumulative_yield_percent=0.00462),\n",
       " FPY(name='Ag-118m', element_name='Silver', Z=47, A=118, half_life=2.0, independent_yield_percent=0.00299, cumulative_yield_percent=0.0046),\n",
       " FPY(name='Sr-101', element_name='Strontium', Z=38, A=101, half_life=0.11800000000000001, independent_yield_percent=0.00449, cumulative_yield_percent=0.00449),\n",
       " FPY(name='Ag-115m', element_name='Silver', Z=47, A=115, half_life=18.0, independent_yield_percent=0.00137, cumulative_yield_percent=0.00434),\n",
       " FPY(name='Rb-98', element_name='Rubidium', Z=37, A=98, half_life=0.114, independent_yield_percent=0.00236, cumulative_yield_percent=0.00399),\n",
       " FPY(name='Mo-110', element_name='Molybdenum', Z=42, A=110, half_life=0.3, independent_yield_percent=0.00389, cumulative_yield_percent=0.0039),\n",
       " FPY(name='Rh-115', element_name='Rhodium', Z=45, A=115, half_life=0.99, independent_yield_percent=0.00363, cumulative_yield_percent=0.00389),\n",
       " FPY(name='Cd-121m', element_name='Cadmium', Z=48, A=121, half_life=8.3, independent_yield_percent=0.00362, cumulative_yield_percent=0.00362),\n",
       " FPY(name='Zn-78', element_name='Zinc', Z=30, A=78, half_life=1.47, independent_yield_percent=0.00356, cumulative_yield_percent=0.00358),\n",
       " FPY(name='Cd-128', element_name='Cadmium', Z=48, A=128, half_life=0.28, independent_yield_percent=0.00355, cumulative_yield_percent=0.00355),\n",
       " FPY(name='Cd-117m', element_name='Cadmium', Z=48, A=117, half_life=12096.0, independent_yield_percent=0.000373, cumulative_yield_percent=0.00344),\n",
       " FPY(name='Pm-157', element_name='Promethium', Z=61, A=157, half_life=10.56, independent_yield_percent=0.00293, cumulative_yield_percent=0.00342),\n",
       " FPY(name='Ag-120', element_name='Silver', Z=47, A=120, half_life=1.23, independent_yield_percent=0.000437, cumulative_yield_percent=0.00331),\n",
       " FPY(name='Eu-158', element_name='Europium', Z=63, A=158, half_life=2754.0, independent_yield_percent=0.000128, cumulative_yield_percent=0.00328),\n",
       " FPY(name='Pd-118', element_name='Palladium', Z=46, A=118, half_life=1.9, independent_yield_percent=0.00318, cumulative_yield_percent=0.00321),\n",
       " FPY(name='Zn-77', element_name='Zinc', Z=30, A=77, half_life=2.08, independent_yield_percent=0.00314, cumulative_yield_percent=0.00319),\n",
       " FPY(name='Sm-158', element_name='Samarium', Z=62, A=158, half_life=318.0, independent_yield_percent=0.0024, cumulative_yield_percent=0.00316),\n",
       " FPY(name='Br-93', element_name='Bromine', Z=35, A=93, half_life=0.10200000000000001, independent_yield_percent=0.00308, cumulative_yield_percent=0.00309),\n",
       " FPY(name='Ga-76', element_name='Gallium', Z=31, A=76, half_life=32.6, independent_yield_percent=0.00105, cumulative_yield_percent=0.00297),\n",
       " FPY(name='Ge-77', element_name='Germanium', Z=32, A=77, half_life=40680.0, independent_yield_percent=0.000596, cumulative_yield_percent=0.00283),\n",
       " FPY(name='Cs-136m', element_name='Cesium', Z=55, A=136, half_life=19.0, independent_yield_percent=0.00277, cumulative_yield_percent=0.00277),\n",
       " FPY(name='Pd-120', element_name='Palladium', Z=46, A=120, half_life=0.5, independent_yield_percent=0.00271, cumulative_yield_percent=0.00271),\n",
       " FPY(name='In-123m', element_name='Indium', Z=49, A=123, half_life=47.4, independent_yield_percent=0.000251, cumulative_yield_percent=0.00264),\n",
       " FPY(name='Ag-121', element_name='Silver', Z=47, A=121, half_life=0.78, independent_yield_percent=0.00258, cumulative_yield_percent=0.00262),\n",
       " FPY(name='Y-103', element_name='Yttrium', Z=39, A=103, half_life=0.23, independent_yield_percent=0.00258, cumulative_yield_percent=0.00258),\n",
       " FPY(name='Nb-107', element_name='Niobium', Z=41, A=107, half_life=0.3, independent_yield_percent=0.00231, cumulative_yield_percent=0.00231),\n",
       " FPY(name='Cs-147', element_name='Cesium', Z=55, A=147, half_life=0.23, independent_yield_percent=0.00224, cumulative_yield_percent=0.00224),\n",
       " FPY(name='Ge-87', element_name='Germanium', Z=32, A=87, half_life=0.14, independent_yield_percent=0.0022, cumulative_yield_percent=0.0022),\n",
       " FPY(name='Ge-85', element_name='Germanium', Z=32, A=85, half_life=0.535, independent_yield_percent=0.00213, cumulative_yield_percent=0.00213),\n",
       " FPY(name='Zn-76', element_name='Zinc', Z=30, A=76, half_life=5.7, independent_yield_percent=0.00184, cumulative_yield_percent=0.00192),\n",
       " FPY(name='Ru-114', element_name='Ruthenium', Z=44, A=114, half_life=0.52, independent_yield_percent=0.00173, cumulative_yield_percent=0.00173),\n",
       " FPY(name='Ce-153', element_name='Cerium', Z=58, A=153, half_life=0.979, independent_yield_percent=0.0017, cumulative_yield_percent=0.00171),\n",
       " FPY(name='In-124m', element_name='Indium', Z=49, A=124, half_life=3.7, independent_yield_percent=0.0017, cumulative_yield_percent=0.0017),\n",
       " FPY(name='In-126', element_name='Indium', Z=49, A=126, half_life=1.53, independent_yield_percent=0.00165, cumulative_yield_percent=0.00165),\n",
       " FPY(name='Zn-79', element_name='Zinc', Z=30, A=79, half_life=0.995, independent_yield_percent=0.00164, cumulative_yield_percent=0.00164),\n",
       " FPY(name='Kr-98', element_name='Krypton', Z=36, A=98, half_life=0.046, independent_yield_percent=0.00163, cumulative_yield_percent=0.00163),\n",
       " FPY(name='Ag-113m', element_name='Silver', Z=47, A=113, half_life=68.7, independent_yield_percent=3.62e-06, cumulative_yield_percent=0.00142),\n",
       " FPY(name='In-122m', element_name='Indium', Z=49, A=122, half_life=10.3, independent_yield_percent=0.000838, cumulative_yield_percent=0.00126),\n",
       " FPY(name='Ge-75', element_name='Germanium', Z=32, A=75, half_life=4966.8, independent_yield_percent=6.81e-07, cumulative_yield_percent=0.00107),\n",
       " FPY(name='Ga-75', element_name='Gallium', Z=31, A=75, half_life=126.0, independent_yield_percent=0.000193, cumulative_yield_percent=0.00106),\n",
       " FPY(name='Ba-149', element_name='Barium', Z=56, A=149, half_life=0.34400000000000003, independent_yield_percent=0.00103, cumulative_yield_percent=0.00103),\n",
       " FPY(name='La-151', element_name='Lanthanum', Z=57, A=151, half_life=0.778, independent_yield_percent=0.00103, cumulative_yield_percent=0.00103),\n",
       " FPY(name='Gd-159', element_name='Gadolinium', Z=64, A=159, half_life=66524.4, independent_yield_percent=3.71e-06, cumulative_yield_percent=0.00101),\n",
       " FPY(name='Cd-115m', element_name='Cadmium', Z=48, A=115, half_life=3849984.000000001, independent_yield_percent=5.53e-06, cumulative_yield_percent=0.001),\n",
       " FPY(name='Eu-159', element_name='Europium', Z=63, A=159, half_life=1086.0, independent_yield_percent=0.000156, cumulative_yield_percent=0.001),\n",
       " FPY(name='Pm-152m', element_name='Promethium', Z=61, A=152, half_life=451.2, independent_yield_percent=0.000928, cumulative_yield_percent=0.000928),\n",
       " FPY(name='Pm-152n', element_name='Promethium', Z=61, A=152, half_life=828.0, independent_yield_percent=0.000928, cumulative_yield_percent=0.000928),\n",
       " FPY(name='Rh-116', element_name='Rhodium', Z=45, A=116, half_life=0.68, independent_yield_percent=0.000869, cumulative_yield_percent=0.000893),\n",
       " FPY(name='Zn-75', element_name='Zinc', Z=30, A=75, half_life=10.2, independent_yield_percent=0.000767, cumulative_yield_percent=0.000869),\n",
       " FPY(name='Ru-109m', element_name='Ruthenium', Z=44, A=109, half_life=0.0, independent_yield_percent=0.000856, cumulative_yield_percent=0.000856),\n",
       " FPY(name='Sm-159', element_name='Samarium', Z=62, A=159, half_life=11.37, independent_yield_percent=0.000742, cumulative_yield_percent=0.00085),\n",
       " FPY(name='Sn-123', element_name='Tin', Z=50, A=123, half_life=11162879.999999998, independent_yield_percent=0.000804, cumulative_yield_percent=0.000804),\n",
       " FPY(name='Pm-158', element_name='Promethium', Z=61, A=158, half_life=4.8, independent_yield_percent=0.000706, cumulative_yield_percent=0.000758),\n",
       " FPY(name='Sn-121m', element_name='Tin', Z=50, A=121, half_life=1384430400.0, independent_yield_percent=2.79e-05, cumulative_yield_percent=0.000725),\n",
       " FPY(name='Tc-112', element_name='Technetium', Z=43, A=112, half_life=0.28, independent_yield_percent=0.000686, cumulative_yield_percent=0.000695),\n",
       " FPY(name='Pr-155', element_name='Praseodymium', Z=59, A=155, half_life=0.852, independent_yield_percent=0.000673, cumulative_yield_percent=0.000676),\n",
       " FPY(name='Se-91', element_name='Selenium', Z=34, A=91, half_life=0.27, independent_yield_percent=0.000666, cumulative_yield_percent=0.000666),\n",
       " FPY(name='Sn-135', element_name='Tin', Z=50, A=135, half_life=0.53, independent_yield_percent=0.000627, cumulative_yield_percent=0.000627),\n",
       " FPY(name='Ba-136m', element_name='Barium', Z=56, A=136, half_life=0.3084, independent_yield_percent=2.36e-06, cumulative_yield_percent=0.000623),\n",
       " FPY(name='Y-104', element_name='Yttrium', Z=39, A=104, half_life=0.18, independent_yield_percent=0.000568, cumulative_yield_percent=0.000568),\n",
       " FPY(name='Ag-124', element_name='Silver', Z=47, A=124, half_life=0.17200000000000001, independent_yield_percent=0.000552, cumulative_yield_percent=0.000552),\n",
       " FPY(name='Nb-96', element_name='Niobium', Z=41, A=96, half_life=84060.0, independent_yield_percent=0.000544, cumulative_yield_percent=0.000544),\n",
       " FPY(name='Nd-157', element_name='Neodymium', Z=60, A=157, half_life=1.906, independent_yield_percent=0.000485, cumulative_yield_percent=0.000486),\n",
       " FPY(name='Nb-109', element_name='Niobium', Z=41, A=109, half_life=0.19, independent_yield_percent=0.000484, cumulative_yield_percent=0.000484),\n",
       " FPY(name='Y-89m', element_name='Yttrium', Z=39, A=89, half_life=15.663, independent_yield_percent=1.88e-07, cumulative_yield_percent=0.000473),\n",
       " FPY(name='Rh-117', element_name='Rhodium', Z=45, A=117, half_life=0.44, independent_yield_percent=0.000465, cumulative_yield_percent=0.000467),\n",
       " FPY(name='Ag-120m', element_name='Silver', Z=47, A=120, half_life=0.32, independent_yield_percent=0.000437, cumulative_yield_percent=0.000437),\n",
       " FPY(name='Pd-119', element_name='Palladium', Z=46, A=119, half_life=0.92, independent_yield_percent=0.000435, cumulative_yield_percent=0.000437),\n",
       " FPY(name='Sn-119m', element_name='Tin', Z=50, A=119, half_life=25315200.0, independent_yield_percent=1.14e-07, cumulative_yield_percent=0.000344),\n",
       " FPY(name='Ag-122', element_name='Silver', Z=47, A=122, half_life=0.529, independent_yield_percent=0.000334, cumulative_yield_percent=0.000339),\n",
       " FPY(name='Ag-122m', element_name='Silver', Z=47, A=122, half_life=0.2, independent_yield_percent=0.000334, cumulative_yield_percent=0.000334),\n",
       " FPY(name='Zn-74', element_name='Zinc', Z=30, A=74, half_life=95.4, independent_yield_percent=0.000251, cumulative_yield_percent=0.000324),\n",
       " FPY(name='Gd-160', element_name='Gadolinium', Z=64, A=160, half_life=0.0, independent_yield_percent=1.01e-05, cumulative_yield_percent=0.000319),\n",
       " FPY(name='Eu-160', element_name='Europium', Z=63, A=160, half_life=38.0, independent_yield_percent=9.03e-05, cumulative_yield_percent=0.000309),\n",
       " FPY(name='Ag-123', element_name='Silver', Z=47, A=123, half_life=0.3, independent_yield_percent=0.000275, cumulative_yield_percent=0.000276),\n",
       " FPY(name='Ga-74', element_name='Gallium', Z=31, A=74, half_life=487.19999999999993, independent_yield_percent=7.3e-06, cumulative_yield_percent=0.000275),\n",
       " FPY(name='Ru-115', element_name='Ruthenium', Z=44, A=115, half_life=0.74, independent_yield_percent=0.000257, cumulative_yield_percent=0.000257),\n",
       " FPY(name='Ga-74m', element_name='Gallium', Z=31, A=74, half_life=9.5, independent_yield_percent=7.3e-06, cumulative_yield_percent=0.00025),\n",
       " FPY(name='Cs-135m', element_name='Cesium', Z=55, A=135, half_life=3180.0, independent_yield_percent=0.000245, cumulative_yield_percent=0.000245),\n",
       " FPY(name='Zn-80', element_name='Zinc', Z=30, A=80, half_life=0.54, independent_yield_percent=0.000242, cumulative_yield_percent=0.000242),\n",
       " FPY(name='Mo-111', element_name='Molybdenum', Z=42, A=111, half_life=0.2, independent_yield_percent=0.000228, cumulative_yield_percent=0.000228),\n",
       " FPY(name='Sm-160', element_name='Samarium', Z=62, A=160, half_life=9.6, independent_yield_percent=0.000211, cumulative_yield_percent=0.000219),\n",
       " FPY(name='I-130', element_name='Iodine', Z=53, A=130, half_life=44495.99999999999, independent_yield_percent=0.000155, cumulative_yield_percent=0.000212),\n",
       " FPY(name='Ga-83', element_name='Gallium', Z=31, A=83, half_life=0.30810000000000004, independent_yield_percent=0.000192, cumulative_yield_percent=0.000192),\n",
       " FPY(name='Sr-102', element_name='Strontium', Z=38, A=102, half_life=0.069, independent_yield_percent=0.000173, cumulative_yield_percent=0.000173),\n",
       " FPY(name='In-133', element_name='Indium', Z=49, A=133, half_life=0.165, independent_yield_percent=0.000171, cumulative_yield_percent=0.000171),\n",
       " FPY(name='Br-94', element_name='Bromine', Z=35, A=94, half_life=0.07, independent_yield_percent=0.000166, cumulative_yield_percent=0.000166),\n",
       " FPY(name='Cd-113m', element_name='Cadmium', Z=48, A=113, half_life=444657600.0, independent_yield_percent=8.68e-10, cumulative_yield_percent=0.000166),\n",
       " FPY(name='As-89', element_name='Arsenic', Z=33, A=89, half_life=0.059000000000000004, independent_yield_percent=0.000154, cumulative_yield_percent=0.000154),\n",
       " FPY(name='Tc-113', element_name='Technetium', Z=43, A=113, half_life=0.16, independent_yield_percent=0.00014, cumulative_yield_percent=0.00014),\n",
       " FPY(name='Pm-159', element_name='Promethium', Z=61, A=159, half_life=1.47, independent_yield_percent=0.000106, cumulative_yield_percent=0.000108),\n",
       " FPY(name='Cu-75', element_name='Copper', Z=29, A=75, half_life=1.224, independent_yield_percent=0.000101, cumulative_yield_percent=0.000102),\n",
       " FPY(name='Ga-73', element_name='Gallium', Z=31, A=73, half_life=17496.0, independent_yield_percent=1.21e-06, cumulative_yield_percent=0.000102),\n",
       " FPY(name='Ge-73m', element_name='Germanium', Z=32, A=73, half_life=0.499, independent_yield_percent=5.59e-10, cumulative_yield_percent=0.000102),\n",
       " FPY(name='Zn-73', element_name='Zinc', Z=30, A=73, half_life=23.5, independent_yield_percent=4.63e-05, cumulative_yield_percent=0.000101),\n",
       " FPY(name='Ce-154', element_name='Cerium', Z=58, A=154, half_life=0.775, independent_yield_percent=9.12e-05, cumulative_yield_percent=9.12e-05),\n",
       " FPY(name='Nb-108', element_name='Niobium', Z=41, A=108, half_life=0.193, independent_yield_percent=9e-05, cumulative_yield_percent=9e-05),\n",
       " FPY(name='Tb-161', element_name='Terbium', Z=65, A=161, half_life=596678.3999999999, independent_yield_percent=5.96e-08, cumulative_yield_percent=8.53e-05),\n",
       " FPY(name='Gd-161', element_name='Gadolinium', Z=64, A=161, half_life=219.60000000000002, independent_yield_percent=1.11e-05, cumulative_yield_percent=8.52e-05),\n",
       " FPY(name='Cu-76', element_name='Copper', Z=29, A=76, half_life=0.653, independent_yield_percent=8.28e-05, cumulative_yield_percent=8.33e-05),\n",
       " FPY(name='Pd-111m', element_name='Palladium', Z=46, A=111, half_life=19800.0, independent_yield_percent=4.72e-06, cumulative_yield_percent=7.97e-05),\n",
       " FPY(name='Eu-161', element_name='Europium', Z=63, A=161, half_life=26.0, independent_yield_percent=4.54e-05, cumulative_yield_percent=7.41e-05),\n",
       " FPY(name='Cu-74', element_name='Copper', Z=29, A=74, half_life=1.75, independent_yield_percent=6.82e-05, cumulative_yield_percent=7.28e-05),\n",
       " FPY(name='Xe-145', element_name='Xenon', Z=54, A=145, half_life=0.188, independent_yield_percent=7.16e-05, cumulative_yield_percent=7.16e-05),\n",
       " FPY(name='I-130m', element_name='Iodine', Z=53, A=130, half_life=530.4, independent_yield_percent=6.66e-05, cumulative_yield_percent=6.66e-05),\n",
       " FPY(name='Rh-110m', element_name='Rhodium', Z=45, A=110, half_life=28.5, independent_yield_percent=5.65e-05, cumulative_yield_percent=5.65e-05),\n",
       " FPY(name='Cu-73', element_name='Copper', Z=29, A=73, half_life=4.2, independent_yield_percent=4.71e-05, cumulative_yield_percent=5.42e-05),\n",
       " FPY(name='Br-82', element_name='Bromine', Z=35, A=82, half_life=127015.19999999998, independent_yield_percent=3.83e-05, cumulative_yield_percent=5.42e-05),\n",
       " FPY(name='Ge-88', element_name='Germanium', Z=32, A=88, half_life=0.066, independent_yield_percent=5.2e-05, cumulative_yield_percent=5.2e-05),\n",
       " FPY(name='Nd-158', element_name='Neodymium', Z=60, A=158, half_life=1.331, independent_yield_percent=5.19e-05, cumulative_yield_percent=5.19e-05),\n",
       " FPY(name='Ba-150', element_name='Barium', Z=56, A=150, half_life=0.3, independent_yield_percent=5.02e-05, cumulative_yield_percent=5.02e-05),\n",
       " FPY(name='Pd-121', element_name='Palladium', Z=46, A=121, half_life=0.28500000000000003, independent_yield_percent=4.73e-05, cumulative_yield_percent=4.73e-05),\n",
       " FPY(name='Ge-75m', element_name='Germanium', Z=32, A=75, half_life=47.7, independent_yield_percent=4.56e-06, cumulative_yield_percent=4.7e-05),\n",
       " FPY(name='Rb-99', element_name='Rubidium', Z=37, A=99, half_life=0.054, independent_yield_percent=4.68e-05, cumulative_yield_percent=4.68e-05),\n",
       " FPY(name='La-152', element_name='Lanthanum', Z=57, A=152, half_life=0.451, independent_yield_percent=4.53e-05, cumulative_yield_percent=4.53e-05),\n",
       " FPY(name='Cu-77', element_name='Copper', Z=29, A=77, half_life=0.46900000000000003, independent_yield_percent=4.45e-05, cumulative_yield_percent=4.46e-05),\n",
       " FPY(name='Se-92', element_name='Selenium', Z=34, A=92, half_life=0.093, independent_yield_percent=4.17e-05, cumulative_yield_percent=4.17e-05),\n",
       " FPY(name='Pr-156', element_name='Praseodymium', Z=59, A=156, half_life=0.733, independent_yield_percent=4.07e-05, cumulative_yield_percent=4.07e-05),\n",
       " FPY(name='Sb-138', element_name='Antimony', Z=51, A=138, half_life=0.168, independent_yield_percent=3.92e-05, cumulative_yield_percent=3.92e-05),\n",
       " FPY(name='Rh-118', element_name='Rhodium', Z=45, A=118, half_life=0.266, independent_yield_percent=3.63e-05, cumulative_yield_percent=3.64e-05),\n",
       " FPY(name='Ga-86', element_name='Gallium', Z=31, A=86, half_life=0.029, independent_yield_percent=3.28e-05, cumulative_yield_percent=3.28e-05),\n",
       " FPY(name='Te-141', element_name='Tellurium', Z=52, A=141, half_life=0.213, independent_yield_percent=3.24e-05, cumulative_yield_percent=3.24e-05),\n",
       " FPY(name='La-138', element_name='Lanthanum', Z=57, A=138, half_life=3.216672e+18, independent_yield_percent=3.18e-05, cumulative_yield_percent=3.18e-05),\n",
       " FPY(name='Pm-150', element_name='Promethium', Z=61, A=150, half_life=9648.0, independent_yield_percent=3e-05, cumulative_yield_percent=3e-05),\n",
       " FPY(name='Kr-97', element_name='Krypton', Z=36, A=97, half_life=0.063, independent_yield_percent=2.97e-05, cumulative_yield_percent=2.97e-05),\n",
       " FPY(name='Sm-161', element_name='Samarium', Z=62, A=161, half_life=4.8, independent_yield_percent=2.83e-05, cumulative_yield_percent=2.88e-05),\n",
       " FPY(name='Zn-72', element_name='Zinc', Z=30, A=72, half_life=167400.0, independent_yield_percent=6.1e-06, cumulative_yield_percent=2.65e-05),\n",
       " FPY(name='Ga-72', element_name='Gallium', Z=31, A=72, half_life=50760.0, independent_yield_percent=1.93e-08, cumulative_yield_percent=2.65e-05),\n",
       " FPY(name='Sn-117m', element_name='Tin', Z=50, A=117, half_life=1175040.0, independent_yield_percent=2.49e-11, cumulative_yield_percent=2.62e-05),\n",
       " FPY(name='Ru-116', element_name='Ruthenium', Z=44, A=116, half_life=0.20400000000000001, independent_yield_percent=2.46e-05, cumulative_yield_percent=2.46e-05),\n",
       " FPY(name='Se-77m', element_name='Selenium', Z=34, A=77, half_life=17.36, independent_yield_percent=1.84e-09, cumulative_yield_percent=2.39e-05),\n",
       " FPY(name='Cu-72', element_name='Copper', Z=29, A=72, half_life=6.63, independent_yield_percent=1.27e-05, cumulative_yield_percent=2.04e-05),\n",
       " FPY(name='Sn-137', element_name='Tin', Z=50, A=137, half_life=0.19, independent_yield_percent=1.86e-05, cumulative_yield_percent=1.86e-05),\n",
       " FPY(name='I-143', element_name='Iodine', Z=53, A=143, half_life=0.296, independent_yield_percent=1.86e-05, cumulative_yield_percent=1.86e-05),\n",
       " FPY(name='Br-82m', element_name='Bromine', Z=35, A=82, half_life=367.8, independent_yield_percent=1.63e-05, cumulative_yield_percent=1.63e-05),\n",
       " FPY(name='Gd-162', element_name='Gadolinium', Z=64, A=162, half_life=504.0, independent_yield_percent=6.79e-06, cumulative_yield_percent=1.58e-05),\n",
       " FPY(name='Sn-136', element_name='Tin', Z=50, A=136, half_life=0.25, independent_yield_percent=1.57e-05, cumulative_yield_percent=1.57e-05),\n",
       " FPY(name='Tb-162', element_name='Terbium', Z=65, A=162, half_life=456.0, independent_yield_percent=4.52e-08, cumulative_yield_percent=1.55e-05),\n",
       " FPY(name='Nb-110', element_name='Niobium', Z=41, A=110, half_life=0.17, independent_yield_percent=1.53e-05, cumulative_yield_percent=1.53e-05),\n",
       " FPY(name='Cs-148', element_name='Cesium', Z=55, A=148, half_life=0.146, independent_yield_percent=1.31e-05, cumulative_yield_percent=1.31e-05),\n",
       " FPY(name='Cu-78', element_name='Copper', Z=29, A=78, half_life=0.335, independent_yield_percent=1.09e-05, cumulative_yield_percent=1.09e-05),\n",
       " FPY(name='Zn-82', element_name='Zinc', Z=30, A=82, half_life=0.052000000000000005, independent_yield_percent=1.08e-05, cumulative_yield_percent=1.08e-05),\n",
       " FPY(name='Xe-146', element_name='Xenon', Z=54, A=146, half_life=0.369, independent_yield_percent=1.06e-05, cumulative_yield_percent=1.06e-05),\n",
       " FPY(name='Sb-124', element_name='Antimony', Z=51, A=124, half_life=5201280.0, independent_yield_percent=7.61e-06, cumulative_yield_percent=9.76e-06),\n",
       " FPY(name='Mo-112', element_name='Molybdenum', Z=42, A=112, half_life=0.28700000000000003, independent_yield_percent=9.65e-06, cumulative_yield_percent=9.65e-06),\n",
       " FPY(name='Eu-162', element_name='Europium', Z=63, A=162, half_life=10.6, independent_yield_percent=6.99e-06, cumulative_yield_percent=9.02e-06),\n",
       " FPY(name='Zn-71', element_name='Zinc', Z=30, A=71, half_life=147.0, independent_yield_percent=7.71e-08, cumulative_yield_percent=8.05e-06),\n",
       " FPY(name='Cu-71', element_name='Copper', Z=29, A=71, half_life=19.5, independent_yield_percent=3.48e-06, cumulative_yield_percent=7.97e-06),\n",
       " FPY(name='Cs-134', element_name='Cesium', Z=55, A=134, half_life=65128147.19999999, independent_yield_percent=3.85e-06, cumulative_yield_percent=7.71e-06),\n",
       " FPY(name='Ni-72', element_name='Nickel', Z=28, A=72, half_life=1.57, independent_yield_percent=7.6e-06, cumulative_yield_percent=7.66e-06),\n",
       " FPY(name='Pm-160', element_name='Promethium', Z=61, A=160, half_life=1.561, independent_yield_percent=7.55e-06, cumulative_yield_percent=7.6e-06),\n",
       " FPY(name='Ni-73', element_name='Nickel', Z=28, A=73, half_life=0.84, independent_yield_percent=7.13e-06, cumulative_yield_percent=7.16e-06),\n",
       " FPY(name='Tc-114', element_name='Technetium', Z=43, A=114, half_life=0.15, independent_yield_percent=7.01e-06, cumulative_yield_percent=7.01e-06),\n",
       " FPY(name='Ag-130', element_name='Silver', Z=47, A=130, half_life=0.05, independent_yield_percent=6.66e-06, cumulative_yield_percent=6.66e-06),\n",
       " FPY(name='Rb-86', element_name='Rubidium', Z=37, A=86, half_life=1609718.4000000001, independent_yield_percent=3.22e-06, cumulative_yield_percent=6.45e-06),\n",
       " FPY(name='Tb-163', element_name='Terbium', Z=65, A=163, half_life=1170.0, independent_yield_percent=2.14e-07, cumulative_yield_percent=6.11e-06),\n",
       " FPY(name='Gd-163', element_name='Gadolinium', Z=64, A=163, half_life=68.0, independent_yield_percent=3.81e-06, cumulative_yield_percent=5.89e-06),\n",
       " FPY(name='Tc-100', element_name='Technetium', Z=43, A=100, half_life=15.46, independent_yield_percent=5.59e-06, cumulative_yield_percent=5.59e-06),\n",
       " FPY(name='Pd-122', element_name='Palladium', Z=46, A=122, half_life=0.17500000000000002, independent_yield_percent=4.77e-06, cumulative_yield_percent=4.77e-06),\n",
       " FPY(name='Ni-74', element_name='Nickel', Z=28, A=74, half_life=0.68, independent_yield_percent=4.58e-06, cumulative_yield_percent=4.58e-06),\n",
       " FPY(name='Ni-71', element_name='Nickel', Z=28, A=71, half_life=2.56, independent_yield_percent=4.35e-06, cumulative_yield_percent=4.5e-06),\n",
       " FPY(name='Y-90m', element_name='Yttrium', Z=39, A=90, half_life=11484.0, independent_yield_percent=4.48e-06, cumulative_yield_percent=4.48e-06),\n",
       " FPY(name='Cs-134m', element_name='Cesium', Z=55, A=134, half_life=10483.2, independent_yield_percent=3.85e-06, cumulative_yield_percent=3.85e-06),\n",
       " FPY(name='Zn-70', element_name='Zinc', Z=30, A=70, half_life=0.0, independent_yield_percent=3.03e-08, cumulative_yield_percent=3.62e-06),\n",
       " FPY(name='In-134', element_name='Indium', Z=49, A=134, half_life=0.14, independent_yield_percent=3.47e-06, cumulative_yield_percent=3.47e-06),\n",
       " FPY(name='As-90', element_name='Arsenic', Z=33, A=90, half_life=0.043000000000000003, independent_yield_percent=3.28e-06, cumulative_yield_percent=3.28e-06),\n",
       " FPY(name='Rb-86m', element_name='Rubidium', Z=37, A=86, half_life=61.019999999999996, independent_yield_percent=3.22e-06, cumulative_yield_percent=3.22e-06),\n",
       " FPY(name='Ni-70', element_name='Nickel', Z=28, A=70, half_life=6.0, independent_yield_percent=2.78e-06, cumulative_yield_percent=3e-06),\n",
       " FPY(name='Ce-155', element_name='Cerium', Z=58, A=155, half_life=0.47100000000000003, independent_yield_percent=2.55e-06, cumulative_yield_percent=2.55e-06),\n",
       " FPY(name='Br-95', element_name='Bromine', Z=35, A=95, half_life=0.066, independent_yield_percent=2.52e-06, cumulative_yield_percent=2.52e-06),\n",
       " FPY(name='Ru-117', element_name='Ruthenium', Z=44, A=117, half_life=0.14200000000000002, independent_yield_percent=2.52e-06, cumulative_yield_percent=2.52e-06),\n",
       " FPY(name='Se-93', element_name='Selenium', Z=34, A=93, half_life=0.062, independent_yield_percent=2.46e-06, cumulative_yield_percent=2.46e-06),\n",
       " FPY(name='Rh-120', element_name='Rhodium', Z=45, A=120, half_life=0.136, independent_yield_percent=2.39e-06, cumulative_yield_percent=2.39e-06),\n",
       " FPY(name='Eu-163', element_name='Europium', Z=63, A=163, half_life=7.7, independent_yield_percent=1.94e-06, cumulative_yield_percent=2.08e-06),\n",
       " FPY(name='Te-142', element_name='Tellurium', Z=52, A=142, half_life=0.2, independent_yield_percent=2.07e-06, cumulative_yield_percent=2.07e-06),\n",
       " FPY(name='Sr-103', element_name='Strontium', Z=38, A=103, half_life=0.068, independent_yield_percent=2.06e-06, cumulative_yield_percent=2.06e-06),\n",
       " FPY(name='Sm-162', element_name='Samarium', Z=62, A=162, half_life=2.4, independent_yield_percent=2.03e-06, cumulative_yield_percent=2.03e-06),\n",
       " FPY(name='Cu-70m', element_name='Copper', Z=29, A=70, half_life=33.0, independent_yield_percent=4.46e-07, cumulative_yield_percent=1.94e-06),\n",
       " FPY(name='Br-96', element_name='Bromine', Z=35, A=96, half_life=0.042, independent_yield_percent=1.91e-06, cumulative_yield_percent=1.91e-06),\n",
       " FPY(name='Tb-164', element_name='Terbium', Z=65, A=164, half_life=180.0, independent_yield_percent=1.8e-07, cumulative_yield_percent=1.88e-06),\n",
       " FPY(name='Rh-119', element_name='Rhodium', Z=45, A=119, half_life=0.171, independent_yield_percent=1.86e-06, cumulative_yield_percent=1.86e-06),\n",
       " FPY(name='Xe-147', element_name='Xenon', Z=54, A=147, half_life=0.1, independent_yield_percent=1.78e-06, cumulative_yield_percent=1.78e-06),\n",
       " FPY(name='Nd-159', element_name='Neodymium', Z=60, A=159, half_life=0.773, independent_yield_percent=1.77e-06, cumulative_yield_percent=1.77e-06),\n",
       " FPY(name='Gd-164', element_name='Gadolinium', Z=64, A=164, half_life=45.0, independent_yield_percent=1.49e-06, cumulative_yield_percent=1.7e-06),\n",
       " FPY(name='Zr-106', element_name='Zirconium', Z=40, A=106, half_life=0.27, independent_yield_percent=1.68e-06, cumulative_yield_percent=1.68e-06),\n",
       " FPY(name='In-118m', element_name='Indium', Z=49, A=118, half_life=267.0, independent_yield_percent=8.45e-07, cumulative_yield_percent=1.68e-06),\n",
       " FPY(name='Cu-70', element_name='Copper', Z=29, A=70, half_life=44.5, independent_yield_percent=1.49e-07, cumulative_yield_percent=1.65e-06),\n",
       " FPY(name='Pr-157', element_name='Praseodymium', Z=59, A=157, half_life=0.598, independent_yield_percent=1.65e-06, cumulative_yield_percent=1.65e-06),\n",
       " FPY(name='Rb-101', element_name='Rubidium', Z=37, A=101, half_life=0.032, independent_yield_percent=1.58e-06, cumulative_yield_percent=1.58e-06),\n",
       " FPY(name='Cu-69', element_name='Copper', Z=29, A=69, half_life=171.0, independent_yield_percent=1.14e-07, cumulative_yield_percent=1.57e-06),\n",
       " FPY(name='Zn-69', element_name='Zinc', Z=30, A=69, half_life=3384.0, independent_yield_percent=2.48e-10, cumulative_yield_percent=1.57e-06),\n",
       " FPY(name='I-144', element_name='Iodine', Z=53, A=144, half_life=0.194, independent_yield_percent=1.56e-06, cumulative_yield_percent=1.56e-06),\n",
       " FPY(name='Ni-75', element_name='Nickel', Z=28, A=75, half_life=0.6, independent_yield_percent=1.53e-06, cumulative_yield_percent=1.53e-06),\n",
       " FPY(name='Ni-69', element_name='Nickel', Z=28, A=69, half_life=11.4, independent_yield_percent=1.12e-06, cumulative_yield_percent=1.46e-06),\n",
       " FPY(name='La-153', element_name='Lanthanum', Z=57, A=153, half_life=0.342, independent_yield_percent=1.42e-06, cumulative_yield_percent=1.42e-06),\n",
       " FPY(name='Sb-139', element_name='Antimony', Z=51, A=139, half_life=0.127, independent_yield_percent=1.4e-06, cumulative_yield_percent=1.4e-06),\n",
       " FPY(name='Zn-84', element_name='Zinc', Z=30, A=84, half_life=0.0, independent_yield_percent=1.22e-06, cumulative_yield_percent=1.22e-06),\n",
       " FPY(name='Sb-124m', element_name='Antimony', Z=51, A=124, half_life=93.0, independent_yield_percent=1.21e-06, cumulative_yield_percent=1.21e-06),\n",
       " FPY(name='Sb-124n', element_name='Antimony', Z=51, A=124, half_life=1212.0, independent_yield_percent=1.21e-06, cumulative_yield_percent=1.21e-06),\n",
       " FPY(name='Kr-100', element_name='Krypton', Z=36, A=100, half_life=0.007, independent_yield_percent=1.15e-06, cumulative_yield_percent=1.15e-06),\n",
       " FPY(name='I-128', element_name='Iodine', Z=53, A=128, half_life=1499.3999999999999, independent_yield_percent=1.04e-06, cumulative_yield_percent=1.04e-06),\n",
       " FPY(name='Dy-165', element_name='Dysprosium', Z=66, A=165, half_life=8402.4, independent_yield_percent=1.53e-08, cumulative_yield_percent=9.4e-07),\n",
       " FPY(name='Tb-165', element_name='Terbium', Z=65, A=165, half_life=126.6, independent_yield_percent=2.81e-07, cumulative_yield_percent=9.34e-07),\n",
       " FPY(name='Tc-98', element_name='Technetium', Z=43, A=98, half_life=132451200000000.0, independent_yield_percent=8.89e-07, cumulative_yield_percent=8.89e-07),\n",
       " FPY(name='In-118n', element_name='Indium', Z=49, A=118, half_life=8.5, independent_yield_percent=8.45e-07, cumulative_yield_percent=8.45e-07),\n",
       " FPY(name='Ba-151', element_name='Barium', Z=56, A=151, half_life=0.259, independent_yield_percent=8.18e-07, cumulative_yield_percent=8.18e-07),\n",
       " FPY(name='Cd-129', element_name='Cadmium', Z=48, A=129, half_life=0.27, independent_yield_percent=7.24e-07, cumulative_yield_percent=7.24e-07),\n",
       " FPY(name='Cu-68', element_name='Copper', Z=29, A=68, half_life=31.1, independent_yield_percent=3.15e-09, cumulative_yield_percent=7.12e-07),\n",
       " FPY(name='Ni-68', element_name='Nickel', Z=28, A=68, half_life=29.0, independent_yield_percent=4.19e-07, cumulative_yield_percent=7.05e-07),\n",
       " FPY(name='Gd-165', element_name='Gadolinium', Z=64, A=165, half_life=10.3, independent_yield_percent=6.14e-07, cumulative_yield_percent=6.53e-07),\n",
       " FPY(name='Ga-85', element_name='Gallium', Z=31, A=85, half_life=0.048, independent_yield_percent=5.88e-07, cumulative_yield_percent=5.88e-07),\n",
       " FPY(name='Ni-76', element_name='Nickel', Z=28, A=76, half_life=0.23800000000000002, independent_yield_percent=5.02e-07, cumulative_yield_percent=5.02e-07),\n",
       " FPY(name='Dy-165m', element_name='Dysprosium', Z=66, A=165, half_life=75.41999999999999, independent_yield_percent=2.29e-09, cumulative_yield_percent=4.69e-07),\n",
       " FPY(name='Pm-161', element_name='Promethium', Z=61, A=161, half_life=1.065, independent_yield_percent=4.4e-07, cumulative_yield_percent=4.41e-07),\n",
       " FPY(name='Pd-123', element_name='Palladium', Z=46, A=123, half_life=0.244, independent_yield_percent=3.99e-07, cumulative_yield_percent=3.99e-07),\n",
       " FPY(name='Sb-122', element_name='Antimony', Z=51, A=122, half_life=235336.32000000007, independent_yield_percent=1.84e-07, cumulative_yield_percent=3.92e-07),\n",
       " FPY(name='Zr-109', element_name='Zirconium', Z=40, A=109, half_life=0.117, independent_yield_percent=3.85e-07, cumulative_yield_percent=3.85e-07),\n",
       " FPY(name='Dy-166', element_name='Dysprosium', Z=66, A=166, half_life=293760.0, independent_yield_percent=3.98e-08, cumulative_yield_percent=3.63e-07),\n",
       " FPY(name='Ho-166', element_name='Holmium', Z=67, A=166, half_life=96480.0, independent_yield_percent=4.03e-11, cumulative_yield_percent=3.63e-07),\n",
       " FPY(name='Cs-149', element_name='Cesium', Z=55, A=149, half_life=0.05, independent_yield_percent=3.63e-07, cumulative_yield_percent=3.63e-07),\n",
       " FPY(name='Cu-67', element_name='Copper', Z=29, A=67, half_life=222587.99999999997, independent_yield_percent=9.68e-10, cumulative_yield_percent=3.61e-07),\n",
       " FPY(name='Tb-162m', element_name='Terbium', Z=65, A=162, half_life=0.0, independent_yield_percent=4.52e-08, cumulative_yield_percent=3.61e-07),\n",
       " FPY(name='Ni-67', element_name='Nickel', Z=28, A=67, half_life=21.0, independent_yield_percent=9.04e-08, cumulative_yield_percent=3.6e-07),\n",
       " FPY(name='Co-69', element_name='Cobalt', Z=27, A=69, half_life=0.22, independent_yield_percent=3.25e-07, cumulative_yield_percent=3.37e-07),\n",
       " FPY(name='Zn-71m', element_name='Zinc', Z=30, A=71, half_life=14256.0, independent_yield_percent=3.29e-07, cumulative_yield_percent=3.29e-07),\n",
       " FPY(name='Tb-166', element_name='Terbium', Z=65, A=166, half_life=25.1, independent_yield_percent=1.54e-07, cumulative_yield_percent=3.23e-07),\n",
       " FPY(name='Co-68', element_name='Cobalt', Z=27, A=68, half_life=0.199, independent_yield_percent=2.47e-07, cumulative_yield_percent=2.86e-07),\n",
       " FPY(name='Pd-124', element_name='Palladium', Z=46, A=124, half_life=0.038, independent_yield_percent=2.73e-07, cumulative_yield_percent=2.73e-07),\n",
       " FPY(name='Co-67', element_name='Cobalt', Z=27, A=67, half_life=0.425, independent_yield_percent=2e-07, cumulative_yield_percent=2.7e-07),\n",
       " FPY(name='Sr-87m', element_name='Strontium', Z=38, A=87, half_life=10134.0, independent_yield_percent=2.51e-07, cumulative_yield_percent=2.51e-07),\n",
       " FPY(name='Nb-94', element_name='Niobium', Z=41, A=94, half_life=640180800000.0, independent_yield_percent=1.46e-07, cumulative_yield_percent=2.47e-07),\n",
       " FPY(name='Ho-167', element_name='Holmium', Z=67, A=167, half_life=11160.0, independent_yield_percent=1.03e-09, cumulative_yield_percent=2.47e-07),\n",
       " FPY(name='Dy-167', element_name='Dysprosium', Z=66, A=167, half_life=372.0, independent_yield_percent=7.51e-08, cumulative_yield_percent=2.46e-07),\n",
       " FPY(name='As-91', element_name='Arsenic', Z=33, A=91, half_life=0.044, independent_yield_percent=2.34e-07, cumulative_yield_percent=2.34e-07),\n",
       " FPY(name='Co-70', element_name='Cobalt', Z=27, A=70, half_life=0.11900000000000001, independent_yield_percent=2.09e-07, cumulative_yield_percent=2.13e-07),\n",
       " FPY(name='Sb-122m', element_name='Antimony', Z=51, A=122, half_life=251.45999999999998, independent_yield_percent=2.08e-07, cumulative_yield_percent=2.08e-07),\n",
       " FPY(name='Eu-164', element_name='Europium', Z=63, A=164, half_life=2.844, independent_yield_percent=2.01e-07, cumulative_yield_percent=2.07e-07),\n",
       " FPY(name='Eu-154', element_name='Europium', Z=63, A=154, half_life=271209600.0, independent_yield_percent=9.7e-08, cumulative_yield_percent=1.94e-07),\n",
       " FPY(name='Tb-167', element_name='Terbium', Z=65, A=167, half_life=19.4, independent_yield_percent=1.34e-07, cumulative_yield_percent=1.71e-07),\n",
       " FPY(name='Gd-166', element_name='Gadolinium', Z=64, A=166, half_life=4.8, independent_yield_percent=1.66e-07, cumulative_yield_percent=1.69e-07),\n",
       " FPY(name='As-76', element_name='Arsenic', Z=33, A=76, half_life=94463.99999999999, independent_yield_percent=1.65e-07, cumulative_yield_percent=1.65e-07),\n",
       " FPY(name='Ag-131', element_name='Silver', Z=47, A=131, half_life=0.0, independent_yield_percent=1.59e-07, cumulative_yield_percent=1.59e-07),\n",
       " FPY(name='Zr-107', element_name='Zirconium', Z=40, A=107, half_life=0.15, independent_yield_percent=1.56e-07, cumulative_yield_percent=1.56e-07),\n",
       " FPY(name='Co-71', element_name='Cobalt', Z=27, A=71, half_life=0.079, independent_yield_percent=1.48e-07, cumulative_yield_percent=1.49e-07),\n",
       " FPY(name='Br-80', element_name='Bromine', Z=35, A=80, half_life=1060.8, independent_yield_percent=3.71e-08, cumulative_yield_percent=1.48e-07),\n",
       " FPY(name='Sb-140', element_name='Antimony', Z=51, A=140, half_life=0.0, independent_yield_percent=1.44e-07, cumulative_yield_percent=1.44e-07),\n",
       " FPY(name='Sm-163', element_name='Samarium', Z=62, A=163, half_life=1.748, independent_yield_percent=1.37e-07, cumulative_yield_percent=1.38e-07),\n",
       " FPY(name='Sr-104', element_name='Strontium', Z=38, A=104, half_life=0.043000000000000003, independent_yield_percent=1.31e-07, cumulative_yield_percent=1.31e-07),\n",
       " FPY(name='Mo-113', element_name='Molybdenum', Z=42, A=113, half_life=0.1, independent_yield_percent=1.11e-07, cumulative_yield_percent=1.11e-07),\n",
       " FPY(name='Br-80m', element_name='Bromine', Z=35, A=80, half_life=15913.799999999997, independent_yield_percent=1.11e-07, cumulative_yield_percent=1.11e-07),\n",
       " FPY(name='Nb-94m', element_name='Niobium', Z=41, A=94, half_life=375.78, independent_yield_percent=1.01e-07, cumulative_yield_percent=1.01e-07),\n",
       " FPY(name='Eu-154m', element_name='Europium', Z=63, A=154, half_life=2760.0, independent_yield_percent=9.7e-08, cumulative_yield_percent=9.7e-08),\n",
       " FPY(name='Tc-115', element_name='Technetium', Z=43, A=115, half_life=0.073, independent_yield_percent=9.02e-08, cumulative_yield_percent=9.02e-08),\n",
       " FPY(name='Nb-111', element_name='Niobium', Z=41, A=111, half_life=0.08, independent_yield_percent=8e-08, cumulative_yield_percent=8e-08),\n",
       " FPY(name='Cs-132', element_name='Cesium', Z=55, A=132, half_life=559872.0, independent_yield_percent=7.38e-08, cumulative_yield_percent=7.38e-08),\n",
       " FPY(name='Cu-66', element_name='Copper', Z=29, A=66, half_life=307.2, independent_yield_percent=1.43e-11, cumulative_yield_percent=7.22e-08),\n",
       " FPY(name='Ni-66', element_name='Nickel', Z=28, A=66, half_life=196560.0, independent_yield_percent=5.78e-09, cumulative_yield_percent=7.21e-08),\n",
       " FPY(name='Fe-67', element_name='Iron', Z=26, A=67, half_life=0.41600000000000004, independent_yield_percent=6.87e-08, cumulative_yield_percent=6.92e-08),\n",
       " FPY(name='Ru-118', element_name='Ruthenium', Z=44, A=118, half_life=0.123, independent_yield_percent=6.92e-08, cumulative_yield_percent=6.92e-08),\n",
       " FPY(name='Co-66', element_name='Cobalt', Z=27, A=66, half_life=0.2, independent_yield_percent=2.81e-08, cumulative_yield_percent=6.64e-08),\n",
       " FPY(name='Zn-83', element_name='Zinc', Z=30, A=83, half_life=0.043000000000000003, independent_yield_percent=6.32e-08, cumulative_yield_percent=6.32e-08),\n",
       " FPY(name='Co-72', element_name='Cobalt', Z=27, A=72, half_life=0.0599, independent_yield_percent=5.8e-08, cumulative_yield_percent=5.81e-08),\n",
       " FPY(name='Ce-156', element_name='Cerium', Z=58, A=156, half_life=0.369, independent_yield_percent=5.73e-08, cumulative_yield_percent=5.73e-08),\n",
       " FPY(name='Ho-168', element_name='Holmium', Z=67, A=168, half_life=179.4, independent_yield_percent=1.16e-09, cumulative_yield_percent=5.71e-08),\n",
       " FPY(name='Ni-77', element_name='Nickel', Z=28, A=77, half_life=0.061, independent_yield_percent=5.64e-08, cumulative_yield_percent=5.64e-08),\n",
       " FPY(name='Dy-168', element_name='Dysprosium', Z=66, A=168, half_life=522.0, independent_yield_percent=3.64e-08, cumulative_yield_percent=5.59e-08),\n",
       " FPY(name='Cu-80', element_name='Copper', Z=29, A=80, half_life=0.17, independent_yield_percent=5.25e-08, cumulative_yield_percent=5.25e-08),\n",
       " FPY(name='Nd-160', element_name='Neodymium', Z=60, A=160, half_life=0.5882999999999999, independent_yield_percent=5.04e-08, cumulative_yield_percent=5.05e-08),\n",
       " FPY(name='Fe-68', element_name='Iron', Z=26, A=68, half_life=0.187, independent_yield_percent=3.92e-08, cumulative_yield_percent=3.92e-08),\n",
       " FPY(name='Eu-165', element_name='Europium', Z=63, A=165, half_life=2.3, independent_yield_percent=3.87e-08, cumulative_yield_percent=3.9e-08),\n",
       " FPY(name='Fe-66', element_name='Iron', Z=26, A=66, half_life=0.44, independent_yield_percent=3.76e-08, cumulative_yield_percent=3.83e-08),\n",
       " FPY(name='Ba-135m', element_name='Barium', Z=56, A=135, half_life=103320.0, independent_yield_percent=3.82e-08, cumulative_yield_percent=3.82e-08),\n",
       " FPY(name='Pr-158', element_name='Praseodymium', Z=59, A=158, half_life=0.13419999999999999, independent_yield_percent=3.75e-08, cumulative_yield_percent=3.75e-08),\n",
       " FPY(name='Gd-167', element_name='Gadolinium', Z=64, A=167, half_life=3.0, independent_yield_percent=3.68e-08, cumulative_yield_percent=3.7e-08),\n",
       " FPY(name='Tb-160', element_name='Terbium', Z=65, A=160, half_life=6246720.0, independent_yield_percent=2.84e-08, cumulative_yield_percent=2.84e-08),\n",
       " FPY(name='Ga-87', element_name='Gallium', Z=31, A=87, half_life=0.0, independent_yield_percent=2.54e-08, cumulative_yield_percent=2.54e-08),\n",
       " FPY(name='Er-167m', element_name='Erbium', Z=68, A=167, half_life=2.269, independent_yield_percent=0.0, cumulative_yield_percent=2.47e-08),\n",
       " FPY(name='Ho-169', element_name='Holmium', Z=67, A=169, half_life=283.2, independent_yield_percent=2.23e-09, cumulative_yield_percent=2.38e-08),\n",
       " FPY(name='Er-169', element_name='Erbium', Z=68, A=169, half_life=811468.7999999999, independent_yield_percent=3.27e-11, cumulative_yield_percent=2.38e-08),\n",
       " FPY(name='Co-73', element_name='Cobalt', Z=27, A=73, half_life=0.041, independent_yield_percent=2.21e-08, cumulative_yield_percent=2.21e-08),\n",
       " FPY(name='Dy-169', element_name='Dysprosium', Z=66, A=169, half_life=39.0, independent_yield_percent=1.74e-08, cumulative_yield_percent=2.16e-08),\n",
       " FPY(name='Rh-104', element_name='Rhodium', Z=45, A=104, half_life=42.3, independent_yield_percent=4.89e-09, cumulative_yield_percent=1.95e-08),\n",
       " FPY(name='Tb-168', element_name='Terbium', Z=65, A=168, half_life=8.2, independent_yield_percent=1.73e-08, cumulative_yield_percent=1.95e-08),\n",
       " FPY(name='Ga-72m', element_name='Gallium', Z=31, A=72, half_life=0.03968, independent_yield_percent=1.93e-08, cumulative_yield_percent=1.93e-08),\n",
       " FPY(name='Se-94', element_name='Selenium', Z=34, A=94, half_life=0.059000000000000004, independent_yield_percent=1.71e-08, cumulative_yield_percent=1.71e-08),\n",
       " FPY(name='Ba-152', element_name='Barium', Z=56, A=152, half_life=0.228, independent_yield_percent=1.49e-08, cumulative_yield_percent=1.49e-08),\n",
       " FPY(name='Rh-104m', element_name='Rhodium', Z=45, A=104, half_life=260.4, independent_yield_percent=1.47e-08, cumulative_yield_percent=1.47e-08),\n",
       " FPY(name='La-154', element_name='Lanthanum', Z=57, A=154, half_life=0.228, independent_yield_percent=1.46e-08, cumulative_yield_percent=1.46e-08),\n",
       " FPY(name='Rh-121', element_name='Rhodium', Z=45, A=121, half_life=0.151, independent_yield_percent=1.44e-08, cumulative_yield_percent=1.44e-08),\n",
       " FPY(name='Br-98', element_name='Bromine', Z=35, A=98, half_life=0.0, independent_yield_percent=1.39e-08, cumulative_yield_percent=1.39e-08),\n",
       " FPY(name='Sm-148', element_name='Samarium', Z=62, A=148, half_life=2.20752e+23, independent_yield_percent=1.64e-12, cumulative_yield_percent=1.26e-08),\n",
       " FPY(name='Fe-69', element_name='Iron', Z=26, A=69, half_life=0.109, independent_yield_percent=1.22e-08, cumulative_yield_percent=1.22e-08),\n",
       " FPY(name='Zr-110', element_name='Zirconium', Z=40, A=110, half_life=0.098, independent_yield_percent=9.29e-09, cumulative_yield_percent=9.29e-09),\n",
       " FPY(name='Pm-148m', element_name='Promethium', Z=61, A=148, half_life=3567456.0, independent_yield_percent=8.1e-09, cumulative_yield_percent=8.1e-09),\n",
       " FPY(name='Cu-68m', element_name='Copper', Z=29, A=68, half_life=225.0, independent_yield_percent=7.36e-09, cumulative_yield_percent=7.36e-09),\n",
       " FPY(name='In-135', element_name='Indium', Z=49, A=135, half_life=0.092, independent_yield_percent=7.26e-09, cumulative_yield_percent=7.26e-09),\n",
       " FPY(name='La-137', element_name='Lanthanum', Z=57, A=137, half_life=1892160000000.0, independent_yield_percent=6.93e-09, cumulative_yield_percent=6.93e-09),\n",
       " FPY(name='Pm-162', element_name='Promethium', Z=61, A=162, half_life=0.26789999999999997, independent_yield_percent=6.8e-09, cumulative_yield_percent=6.8e-09),\n",
       " FPY(name='Tc-116', element_name='Technetium', Z=43, A=116, half_life=0.09, independent_yield_percent=6.31e-09, cumulative_yield_percent=6.31e-09),\n",
       " FPY(name='Sm-164', element_name='Samarium', Z=62, A=164, half_life=1.226, independent_yield_percent=6.04e-09, cumulative_yield_percent=6.04e-09),\n",
       " FPY(name='In-116m', element_name='Indium', Z=49, A=116, half_life=3257.4, independent_yield_percent=2.57e-09, cumulative_yield_percent=5.13e-09),\n",
       " FPY(name='Ni-78', element_name='Nickel', Z=28, A=78, half_life=0.11, independent_yield_percent=5.03e-09, cumulative_yield_percent=5.03e-09),\n",
       " FPY(name='Pm-148', element_name='Promethium', Z=61, A=148, half_life=463795.20000000007, independent_yield_percent=4.45e-09, cumulative_yield_percent=4.82e-09),\n",
       " FPY(name='Pr-142', element_name='Praseodymium', Z=59, A=142, half_life=68832.0, independent_yield_percent=2.31e-09, cumulative_yield_percent=4.63e-09),\n",
       " FPY(name='Cd-133', element_name='Cadmium', Z=48, A=133, half_life=0.0, independent_yield_percent=4.49e-09, cumulative_yield_percent=4.49e-09),\n",
       " FPY(name='Ho-170', element_name='Holmium', Z=67, A=170, half_life=165.6, independent_yield_percent=4.93e-10, cumulative_yield_percent=4.45e-09),\n",
       " FPY(name='Mo-114', element_name='Molybdenum', Z=42, A=114, half_life=0.08, independent_yield_percent=4.4e-09, cumulative_yield_percent=4.4e-09),\n",
       " FPY(name='Tb-169', element_name='Terbium', Z=65, A=169, half_life=2.0, independent_yield_percent=4.07e-09, cumulative_yield_percent=4.19e-09),\n",
       " FPY(name='Ge-89', element_name='Germanium', Z=32, A=89, half_life=0.039, independent_yield_percent=4.04e-09, cumulative_yield_percent=4.04e-09),\n",
       " FPY(name='Dy-170', element_name='Dysprosium', Z=66, A=170, half_life=30.0, independent_yield_percent=3.73e-09, cumulative_yield_percent=3.95e-09),\n",
       " FPY(name='Sn-138', element_name='Tin', Z=50, A=138, half_life=0.0, independent_yield_percent=3.29e-09, cumulative_yield_percent=3.29e-09),\n",
       " FPY(name='Fe-70', element_name='Iron', Z=26, A=70, half_life=0.094, independent_yield_percent=3.24e-09, cumulative_yield_percent=3.24e-09),\n",
       " FPY(name='Co-74', element_name='Cobalt', Z=27, A=74, half_life=0.03, independent_yield_percent=3e-09, cumulative_yield_percent=3e-09),\n",
       " FPY(name='In-116', element_name='Indium', Z=49, A=116, half_life=14.1, independent_yield_percent=2.57e-09, cumulative_yield_percent=2.57e-09),\n",
       " FPY(name='In-116n', element_name='Indium', Z=49, A=116, half_life=2.18, independent_yield_percent=2.57e-09, cumulative_yield_percent=2.57e-09),\n",
       " FPY(name='Eu-166', element_name='Europium', Z=63, A=166, half_life=0.4, independent_yield_percent=2.5e-09, cumulative_yield_percent=2.51e-09),\n",
       " FPY(name='Nb-112', element_name='Niobium', Z=41, A=112, half_life=0.069, independent_yield_percent=2.49e-09, cumulative_yield_percent=2.49e-09),\n",
       " FPY(name='Er-171', element_name='Erbium', Z=68, A=171, half_life=27057.6, independent_yield_percent=1.58e-10, cumulative_yield_percent=2.35e-09),\n",
       " FPY(name='Tm-171', element_name='Thulium', Z=69, A=171, half_life=60549119.99999999, independent_yield_percent=0.0, cumulative_yield_percent=2.35e-09),\n",
       " FPY(name='Pr-142m', element_name='Praseodymium', Z=59, A=142, half_life=876.0, independent_yield_percent=2.31e-09, cumulative_yield_percent=2.31e-09),\n",
       " FPY(name='Te-123', element_name='Tellurium', Z=52, A=123, half_life=0.0, independent_yield_percent=5.14e-10, cumulative_yield_percent=2.23e-09),\n",
       " FPY(name='Ho-171', element_name='Holmium', Z=67, A=171, half_life=53.0, independent_yield_percent=1.07e-09, cumulative_yield_percent=2.19e-09),\n",
       " FPY(name='Gd-168', element_name='Gadolinium', Z=64, A=168, half_life=0.3, independent_yield_percent=2.18e-09, cumulative_yield_percent=2.18e-09),\n",
       " FPY(name='Rb-84', element_name='Rubidium', Z=37, A=84, half_life=2835648.0, independent_yield_percent=2.16e-09, cumulative_yield_percent=2.16e-09),\n",
       " FPY(name='Cs-150', element_name='Cesium', Z=55, A=150, half_life=0.05, independent_yield_percent=1.99e-09, cumulative_yield_percent=1.99e-09),\n",
       " FPY(name='Te-123m', element_name='Tellurium', Z=52, A=123, half_life=10298880.0, independent_yield_percent=1.72e-09, cumulative_yield_percent=1.72e-09),\n",
       " FPY(name='Y-88', element_name='Yttrium', Z=39, A=88, half_life=9212486.4, independent_yield_percent=1.7e-09, cumulative_yield_percent=1.7e-09),\n",
       " FPY(name='Ag-125', element_name='Silver', Z=47, A=125, half_life=0.166, independent_yield_percent=1.66e-09, cumulative_yield_percent=1.66e-09),\n",
       " FPY(name='Rb-102', element_name='Rubidium', Z=37, A=102, half_life=0.037, independent_yield_percent=1.47e-09, cumulative_yield_percent=1.47e-09),\n",
       " FPY(name='Kr-99', element_name='Krypton', Z=36, A=99, half_life=0.027, independent_yield_percent=1.23e-09, cumulative_yield_percent=1.23e-09),\n",
       " FPY(name='Dy-171', element_name='Dysprosium', Z=66, A=171, half_life=6.0, independent_yield_percent=1.09e-09, cumulative_yield_percent=1.12e-09),\n",
       " FPY(name='Xe-148', element_name='Xenon', Z=54, A=148, half_life=0.0, independent_yield_percent=1.1e-09, cumulative_yield_percent=1.1e-09),\n",
       " FPY(name='Kr-81', element_name='Krypton', Z=36, A=81, half_life=7221744000000.0, independent_yield_percent=9.43e-10, cumulative_yield_percent=1.08e-09),\n",
       " FPY(name='Zn-69m', element_name='Zinc', Z=30, A=69, half_life=49536.0, independent_yield_percent=1.06e-09, cumulative_yield_percent=1.06e-09),\n",
       " FPY(name='Br-79m', element_name='Bromine', Z=35, A=79, half_life=4.86, independent_yield_percent=1.04e-09, cumulative_yield_percent=1.04e-09),\n",
       " FPY(name='Ce-139', element_name='Cerium', Z=58, A=139, half_life=11892182.399999999, independent_yield_percent=2.87e-10, cumulative_yield_percent=9.91e-10),\n",
       " FPY(name='Tc-117', element_name='Technetium', Z=43, A=117, half_life=0.04, independent_yield_percent=8.84e-10, cumulative_yield_percent=8.84e-10),\n",
       " FPY(name='I-145', element_name='Iodine', Z=53, A=145, half_life=0.127, independent_yield_percent=8.29e-10, cumulative_yield_percent=8.29e-10),\n",
       " FPY(name='Tm-172', element_name='Thulium', Z=69, A=172, half_life=228960.0, independent_yield_percent=1.68e-12, cumulative_yield_percent=7.69e-10),\n",
       " FPY(name='Er-172', element_name='Erbium', Z=68, A=172, half_life=177480.0, independent_yield_percent=2.2e-10, cumulative_yield_percent=7.68e-10),\n",
       " FPY(name='Mn-66', element_name='Manganese', Z=25, A=66, half_life=0.064, independent_yield_percent=7.2e-10, cumulative_yield_percent=7.22e-10),\n",
       " FPY(name='Ce-139m', element_name='Cerium', Z=58, A=139, half_life=54.8, independent_yield_percent=7.03e-10, cumulative_yield_percent=7.03e-10),\n",
       " FPY(name='Ru-119', element_name='Ruthenium', Z=44, A=119, half_life=0.162, independent_yield_percent=6.55e-10, cumulative_yield_percent=6.55e-10),\n",
       " FPY(name='Nd-161', element_name='Neodymium', Z=60, A=161, half_life=0.4884, independent_yield_percent=6.16e-10, cumulative_yield_percent=6.16e-10),\n",
       " FPY(name='Rh-102', element_name='Rhodium', Z=45, A=102, half_life=17910720.0, independent_yield_percent=5.91e-10, cumulative_yield_percent=5.91e-10),\n",
       " FPY(name='Ho-172', element_name='Holmium', Z=67, A=172, half_life=25.0, independent_yield_percent=3.69e-10, cumulative_yield_percent=5.47e-10),\n",
       " FPY(name='Pd-109m', element_name='Palladium', Z=46, A=109, half_life=281.40000000000003, independent_yield_percent=5.46e-10, cumulative_yield_percent=5.46e-10),\n",
       " FPY(name='Mn-67', element_name='Manganese', Z=25, A=67, half_life=0.047, independent_yield_percent=5.38e-10, cumulative_yield_percent=5.38e-10),\n",
       " FPY(name='Ho-170m', element_name='Holmium', Z=67, A=170, half_life=43.0, independent_yield_percent=4.93e-10, cumulative_yield_percent=4.93e-10),\n",
       " FPY(name='Fe-71', element_name='Iron', Z=26, A=71, half_life=0.028, independent_yield_percent=4.92e-10, cumulative_yield_percent=4.92e-10),\n",
       " FPY(name='Te-143', element_name='Tellurium', Z=52, A=143, half_life=0.0, independent_yield_percent=4.88e-10, cumulative_yield_percent=4.88e-10),\n",
       " FPY(name='Pr-159', element_name='Praseodymium', Z=59, A=159, half_life=0.1055, independent_yield_percent=4.88e-10, cumulative_yield_percent=4.88e-10),\n",
       " FPY(name='Ag-126', element_name='Silver', Z=47, A=126, half_life=0.107, independent_yield_percent=4.75e-10, cumulative_yield_percent=4.75e-10),\n",
       " FPY(name='Rh-102m', element_name='Rhodium', Z=45, A=102, half_life=118007712.00000001, independent_yield_percent=4.73e-10, cumulative_yield_percent=4.73e-10),\n",
       " FPY(name='Y-105', element_name='Yttrium', Z=39, A=105, half_life=0.088, independent_yield_percent=4.67e-10, cumulative_yield_percent=4.67e-10),\n",
       " FPY(name='Ce-157', element_name='Cerium', Z=58, A=157, half_life=0.24280000000000002, independent_yield_percent=4.59e-10, cumulative_yield_percent=4.59e-10),\n",
       " FPY(name='Pm-146', element_name='Promethium', Z=61, A=146, half_life=174394080.0, independent_yield_percent=4.5e-10, cumulative_yield_percent=4.5e-10),\n",
       " FPY(name='Ga-88', element_name='Gallium', Z=31, A=88, half_life=0.0, independent_yield_percent=4.42e-10, cumulative_yield_percent=4.42e-10),\n",
       " FPY(name='Co-75', element_name='Cobalt', Z=27, A=75, half_life=0.034, independent_yield_percent=3.81e-10, cumulative_yield_percent=3.81e-10),\n",
       " FPY(name='Sb-141', element_name='Antimony', Z=51, A=141, half_life=0.0, independent_yield_percent=3.75e-10, cumulative_yield_percent=3.75e-10),\n",
       " FPY(name='As-92', element_name='Arsenic', Z=33, A=92, half_life=0.027, independent_yield_percent=3.55e-10, cumulative_yield_percent=3.55e-10),\n",
       " FPY(name='Br-97', element_name='Bromine', Z=35, A=97, half_life=0.04, independent_yield_percent=3.44e-10, cumulative_yield_percent=3.44e-10),\n",
       " FPY(name='Zr-108', element_name='Zirconium', Z=40, A=108, half_life=0.08, independent_yield_percent=3.1e-10, cumulative_yield_percent=3.1e-10),\n",
       " FPY(name='Ru-120', element_name='Ruthenium', Z=44, A=120, half_life=0.149, independent_yield_percent=3.03e-10, cumulative_yield_percent=3.03e-10),\n",
       " FPY(name='Rh-122', element_name='Rhodium', Z=45, A=122, half_life=0.108, independent_yield_percent=2.85e-10, cumulative_yield_percent=2.85e-10),\n",
       " FPY(name='Sm-165', element_name='Samarium', Z=62, A=165, half_life=0.764, independent_yield_percent=2.55e-10, cumulative_yield_percent=2.55e-10),\n",
       " FPY(name='Rb-83', element_name='Rubidium', Z=37, A=83, half_life=7447680.0, independent_yield_percent=2.3e-10, cumulative_yield_percent=2.3e-10),\n",
       " FPY(name='Zn-86', element_name='Zinc', Z=30, A=86, half_life=0.0, independent_yield_percent=2.28e-10, cumulative_yield_percent=2.28e-10),\n",
       " FPY(name='Tb-170', element_name='Terbium', Z=65, A=170, half_life=3.0, independent_yield_percent=2.24e-10, cumulative_yield_percent=2.26e-10),\n",
       " FPY(name='Eu-167', element_name='Europium', Z=63, A=167, half_life=0.2, independent_yield_percent=2.24e-10, cumulative_yield_percent=2.24e-10),\n",
       " FPY(name='In-137', element_name='Indium', Z=49, A=137, half_life=0.0, independent_yield_percent=2.15e-10, cumulative_yield_percent=2.15e-10),\n",
       " FPY(name='Zr-90m', element_name='Zirconium', Z=40, A=90, half_life=0.8092, independent_yield_percent=2.09e-10, cumulative_yield_percent=2.09e-10),\n",
       " FPY(name='Pm-163', element_name='Promethium', Z=61, A=163, half_life=0.2, independent_yield_percent=1.82e-10, cumulative_yield_percent=1.82e-10),\n",
       " FPY(name='Dy-172', element_name='Dysprosium', Z=66, A=172, half_life=3.0, independent_yield_percent=1.77e-10, cumulative_yield_percent=1.78e-10),\n",
       " FPY(name='I-126', element_name='Iodine', Z=53, A=126, half_life=1117152.0, independent_yield_percent=1.7e-10, cumulative_yield_percent=1.7e-10),\n",
       " FPY(name='In-136', element_name='Indium', Z=49, A=136, half_life=0.0, independent_yield_percent=1.68e-10, cumulative_yield_percent=1.68e-10),\n",
       " FPY(name='Ag-127', element_name='Silver', Z=47, A=127, half_life=0.109, independent_yield_percent=1.58e-10, cumulative_yield_percent=1.58e-10),\n",
       " FPY(name='Sm-146', element_name='Samarium', Z=62, A=146, half_life=3248208000000000.0, independent_yield_percent=0.0, cumulative_yield_percent=1.58e-10),\n",
       " FPY(name='Cu-82', element_name='Copper', Z=29, A=82, half_life=0.0, independent_yield_percent=1.48e-10, cumulative_yield_percent=1.48e-10),\n",
       " FPY(name='Gd-152', element_name='Gadolinium', Z=64, A=152, half_life=3.405888e+21, independent_yield_percent=0.0, cumulative_yield_percent=1.43e-10),\n",
       " FPY(name='Kr-81m', element_name='Krypton', Z=36, A=81, half_life=13.1, independent_yield_percent=1.41e-10, cumulative_yield_percent=1.41e-10),\n",
       " FPY(name='Eu-152', element_name='Europium', Z=63, A=152, half_life=426902832.0, independent_yield_percent=9.07e-11, cumulative_yield_percent=1.36e-10),\n",
       " FPY(name='Eu-152m', element_name='Europium', Z=63, A=152, half_life=33521.76, independent_yield_percent=9.07e-11, cumulative_yield_percent=1.36e-10),\n",
       " FPY(name='Tb-158', element_name='Terbium', Z=65, A=158, half_life=5676480000.0, independent_yield_percent=1.2e-10, cumulative_yield_percent=1.33e-10),\n",
       " FPY(name='Sb-120m', element_name='Antimony', Z=51, A=120, half_life=497663.9999999999, independent_yield_percent=1.3e-10, cumulative_yield_percent=1.3e-10),\n",
       " FPY(name='Gd-169', element_name='Gadolinium', Z=64, A=169, half_life=1.0, independent_yield_percent=1.19e-10, cumulative_yield_percent=1.19e-10),\n",
       " FPY(name='Ge-90', element_name='Germanium', Z=32, A=90, half_life=0.0, independent_yield_percent=1.17e-10, cumulative_yield_percent=1.17e-10),\n",
       " FPY(name='Ho-166m', element_name='Holmium', Z=67, A=166, half_life=37843200000.0, independent_yield_percent=9.41e-11, cumulative_yield_percent=9.41e-11),\n",
       " FPY(name='Cd-134', element_name='Cadmium', Z=48, A=134, half_life=0.0, independent_yield_percent=9.33e-11, cumulative_yield_percent=9.33e-11),\n",
       " FPY(name='Eu-152n', element_name='Europium', Z=63, A=152, half_life=5760.0, independent_yield_percent=9.07e-11, cumulative_yield_percent=9.07e-11),\n",
       " FPY(name='Sb-120', element_name='Antimony', Z=51, A=120, half_life=953.4000000000001, independent_yield_percent=9.03e-11, cumulative_yield_percent=9.03e-11),\n",
       " FPY(name='I-146', element_name='Iodine', Z=53, A=146, half_life=0.0, independent_yield_percent=9.02e-11, cumulative_yield_percent=9.02e-11),\n",
       " FPY(name='Sr-85', element_name='Strontium', Z=38, A=85, half_life=5602176.0, independent_yield_percent=3.92e-11, cumulative_yield_percent=7.35e-11),\n",
       " FPY(name='Fe-72', element_name='Iron', Z=26, A=72, half_life=1.5000000000000002e-07, independent_yield_percent=7.15e-11, cumulative_yield_percent=7.15e-11),\n",
       " FPY(name='Pd-130', element_name='Palladium', Z=46, A=130, half_life=0.0, independent_yield_percent=6.79e-11, cumulative_yield_percent=6.79e-11),\n",
       " FPY(name='Mn-68', element_name='Manganese', Z=25, A=68, half_life=0.028, independent_yield_percent=6.66e-11, cumulative_yield_percent=6.66e-11),\n",
       " FPY(name='Se-95', element_name='Selenium', Z=34, A=95, half_life=0.0, independent_yield_percent=6.63e-11, cumulative_yield_percent=6.63e-11),\n",
       " FPY(name='Te-144', element_name='Tellurium', Z=52, A=144, half_life=0.0, independent_yield_percent=5.58e-11, cumulative_yield_percent=5.58e-11),\n",
       " FPY(name='Kr-101', element_name='Krypton', Z=36, A=101, half_life=0.0, independent_yield_percent=4.14e-11, cumulative_yield_percent=4.14e-11),\n",
       " FPY(name='Sr-85m', element_name='Strontium', Z=38, A=85, half_life=4057.7999999999997, independent_yield_percent=3.92e-11, cumulative_yield_percent=3.92e-11),\n",
       " FPY(name='Ba-153', element_name='Barium', Z=56, A=153, half_life=0.158, independent_yield_percent=3.73e-11, cumulative_yield_percent=3.73e-11),\n",
       " FPY(name='Sn-139', element_name='Tin', Z=50, A=139, half_life=0.0, independent_yield_percent=3.68e-11, cumulative_yield_percent=3.68e-11),\n",
       " FPY(name='Rh-101', element_name='Rhodium', Z=45, A=101, half_life=104068800.0, independent_yield_percent=3.26e-11, cumulative_yield_percent=3.26e-11),\n",
       " FPY(name='La-155', element_name='Lanthanum', Z=57, A=155, half_life=0.184, independent_yield_percent=2.95e-11, cumulative_yield_percent=2.95e-11),\n",
       " FPY(name='Tb-171', element_name='Terbium', Z=65, A=171, half_life=0.5, independent_yield_percent=2.92e-11, cumulative_yield_percent=2.92e-11),\n",
       " FPY(name='As-93', element_name='Arsenic', Z=33, A=93, half_life=0.0, independent_yield_percent=2.84e-11, cumulative_yield_percent=2.84e-11),\n",
       " FPY(name='Co-76', element_name='Cobalt', Z=27, A=76, half_life=0.0, independent_yield_percent=2.53e-11, cumulative_yield_percent=2.53e-11),\n",
       " FPY(name='Rb-103', element_name='Rubidium', Z=37, A=103, half_life=0.0, independent_yield_percent=2.38e-11, cumulative_yield_percent=2.38e-11),\n",
       " FPY(name='Nb-92', element_name='Niobium', Z=41, A=92, half_life=1094299200000000.0, independent_yield_percent=2.27e-11, cumulative_yield_percent=2.27e-11),\n",
       " FPY(name='I-147', element_name='Iodine', Z=53, A=147, half_life=0.0, independent_yield_percent=2.06e-11, cumulative_yield_percent=2.06e-11),\n",
       " FPY(name='Sb-142', element_name='Antimony', Z=51, A=142, half_life=0.0, independent_yield_percent=1.76e-11, cumulative_yield_percent=1.76e-11),\n",
       " FPY(name='Tc-97', element_name='Technetium', Z=43, A=97, half_life=132766560000000.0, independent_yield_percent=8.8e-12, cumulative_yield_percent=1.76e-11),\n",
       " FPY(name='As-74', element_name='Arsenic', Z=33, A=74, half_life=1535328.0, independent_yield_percent=4.99e-12, cumulative_yield_percent=1.66e-11),\n",
       " FPY(name='Zn-85', element_name='Zinc', Z=30, A=85, half_life=0.0, independent_yield_percent=1.54e-11, cumulative_yield_percent=1.54e-11),\n",
       " FPY(name='Ga-70', element_name='Gallium', Z=31, A=70, half_life=1268.4, independent_yield_percent=1.47e-11, cumulative_yield_percent=1.47e-11),\n",
       " FPY(name='Tb-158m', element_name='Terbium', Z=65, A=158, half_life=10.7, independent_yield_percent=1.33e-11, cumulative_yield_percent=1.33e-11),\n",
       " FPY(name='Se-96', element_name='Selenium', Z=34, A=96, half_life=0.0, independent_yield_percent=1.28e-11, cumulative_yield_percent=1.28e-11),\n",
       " FPY(name='Ag-128', element_name='Silver', Z=47, A=128, half_life=0.058, independent_yield_percent=1.12e-11, cumulative_yield_percent=1.25e-11),\n",
       " FPY(name='As-74m', element_name='Arsenic', Z=33, A=74, half_life=0.0, independent_yield_percent=1.16e-11, cumulative_yield_percent=1.16e-11),\n",
       " FPY(name='Y-87', element_name='Yttrium', Z=39, A=87, half_life=287280.0, independent_yield_percent=1e-11, cumulative_yield_percent=1e-11),\n",
       " FPY(name='Xe-149', element_name='Xenon', Z=54, A=149, half_life=0.0, independent_yield_percent=9.52e-12, cumulative_yield_percent=9.52e-12),\n",
       " FPY(name='Cs-151', element_name='Cesium', Z=55, A=151, half_life=0.05, independent_yield_percent=9.47e-12, cumulative_yield_percent=9.47e-12),\n",
       " FPY(name='Tc-97m', element_name='Technetium', Z=43, A=97, half_life=7862400.0, independent_yield_percent=8.8e-12, cumulative_yield_percent=8.8e-12),\n",
       " FPY(name='Rh-123', element_name='Rhodium', Z=45, A=123, half_life=0.0489, independent_yield_percent=8.52e-12, cumulative_yield_percent=8.52e-12),\n",
       " FPY(name='Mn-69', element_name='Manganese', Z=25, A=69, half_life=0.014, independent_yield_percent=8.03e-12, cumulative_yield_percent=8.03e-12),\n",
       " FPY(name='Sm-166', element_name='Samarium', Z=62, A=166, half_life=0.0, independent_yield_percent=6.43e-12, cumulative_yield_percent=6.43e-12),\n",
       " FPY(name='Ge-91', element_name='Germanium', Z=32, A=91, half_life=0.0, independent_yield_percent=6.14e-12, cumulative_yield_percent=6.14e-12),\n",
       " FPY(name='Fe-73', element_name='Iron', Z=26, A=73, half_life=0.0, independent_yield_percent=5.54e-12, cumulative_yield_percent=5.54e-12),\n",
       " FPY(name='Br-78', element_name='Bromine', Z=35, A=78, half_life=387.0, independent_yield_percent=4.94e-12, cumulative_yield_percent=4.94e-12),\n",
       " FPY(name='Tb-157', element_name='Terbium', Z=65, A=157, half_life=2239056000.0, independent_yield_percent=4.93e-12, cumulative_yield_percent=4.93e-12),\n",
       " FPY(name='Y-109', element_name='Yttrium', Z=39, A=109, half_life=0.0, independent_yield_percent=4.46e-12, cumulative_yield_percent=4.46e-12),\n",
       " FPY(name='Sb-119', element_name='Antimony', Z=51, A=119, half_life=137483.99999999997, independent_yield_percent=3.89e-12, cumulative_yield_percent=3.89e-12),\n",
       " FPY(name='Ce-158', element_name='Cerium', Z=58, A=158, half_life=0.0, independent_yield_percent=3.87e-12, cumulative_yield_percent=3.87e-12),\n",
       " FPY(name='Nd-162', element_name='Neodymium', Z=60, A=162, half_life=0.0, independent_yield_percent=3.48e-12, cumulative_yield_percent=3.48e-12),\n",
       " FPY(name='Eu-168', element_name='Europium', Z=63, A=168, half_life=0.0, independent_yield_percent=2.85e-12, cumulative_yield_percent=2.85e-12),\n",
       " FPY(name='Pr-160', element_name='Praseodymium', Z=59, A=160, half_life=0.0, independent_yield_percent=2.82e-12, cumulative_yield_percent=2.82e-12),\n",
       " FPY(name='Gd-170', element_name='Gadolinium', Z=64, A=170, half_life=0.0, independent_yield_percent=2.68e-12, cumulative_yield_percent=2.68e-12),\n",
       " FPY(name='Cs-131', element_name='Cesium', Z=55, A=131, half_life=837129.6000000001, independent_yield_percent=2.54e-12, cumulative_yield_percent=2.54e-12),\n",
       " FPY(name='Cr-66', element_name='Chromium', Z=24, A=66, half_life=0.01, independent_yield_percent=2.41e-12, cumulative_yield_percent=2.41e-12),\n",
       " FPY(name='Mo-115', element_name='Molybdenum', Z=42, A=115, half_life=0.092, independent_yield_percent=2.37e-12, cumulative_yield_percent=2.37e-12),\n",
       " FPY(name='Ag-110m', element_name='Silver', Z=47, A=110, half_life=21579263.999999996, independent_yield_percent=2.28e-12, cumulative_yield_percent=2.28e-12),\n",
       " FPY(name='Zr-111', element_name='Zirconium', Z=40, A=111, half_life=0.0, independent_yield_percent=2.1e-12, cumulative_yield_percent=2.1e-12),\n",
       " FPY(name='Zr-89', element_name='Zirconium', Z=40, A=89, half_life=282275.99999999994, independent_yield_percent=2.07e-12, cumulative_yield_percent=2.07e-12),\n",
       " FPY(name='Pm-164', element_name='Promethium', Z=61, A=164, half_life=0.0, independent_yield_percent=1.66e-12, cumulative_yield_percent=1.66e-12),\n",
       " FPY(name='Ni-80', element_name='Nickel', Z=28, A=80, half_life=0.0, independent_yield_percent=1.56e-12, cumulative_yield_percent=1.56e-12),\n",
       " FPY(name='Pd-128', element_name='Palladium', Z=46, A=128, half_life=0.0, independent_yield_percent=1.34e-12, cumulative_yield_percent=1.34e-12),\n",
       " FPY(name='Nb-113', element_name='Niobium', Z=41, A=113, half_life=0.03, independent_yield_percent=1.29e-12, cumulative_yield_percent=1.29e-12),\n",
       " FPY(name='Ho-164', element_name='Holmium', Z=67, A=164, half_life=1740.0, independent_yield_percent=0.0, cumulative_yield_percent=1.15e-12),\n",
       " FPY(name='In-114', element_name='Indium', Z=49, A=114, half_life=71.9, independent_yield_percent=0.0, cumulative_yield_percent=1.09e-12),\n",
       " FPY(name='Tb-172', element_name='Terbium', Z=65, A=172, half_life=0.0, independent_yield_percent=1.05e-12, cumulative_yield_percent=1.05e-12),\n",
       " FPY(name='Rh-124', element_name='Rhodium', Z=45, A=124, half_life=0.0, independent_yield_percent=1.04e-12, cumulative_yield_percent=1.04e-12),\n",
       " FPY(name='Ba-133', element_name='Barium', Z=56, A=133, half_life=331862400.0, independent_yield_percent=1.04e-12, cumulative_yield_percent=1.04e-12),\n",
       " FPY(name='Ag-110', element_name='Silver', Z=47, A=110, half_life=24.6, independent_yield_percent=0.0, cumulative_yield_percent=1.01e-12),\n",
       " FPY(name='Cu-83', element_name='Copper', Z=29, A=83, half_life=0.0, independent_yield_percent=7.31e-13, cumulative_yield_percent=7.31e-13),\n",
       " FPY(name='Co-77', element_name='Cobalt', Z=27, A=77, half_life=0.0, independent_yield_percent=6.53e-13, cumulative_yield_percent=6.53e-13),\n",
       " FPY(name='Tc-118', element_name='Technetium', Z=43, A=118, half_life=0.066, independent_yield_percent=5.89e-13, cumulative_yield_percent=5.89e-13),\n",
       " FPY(name='La-156', element_name='Lanthanum', Z=57, A=156, half_life=0.0, independent_yield_percent=4.87e-13, cumulative_yield_percent=4.87e-13),\n",
       " FPY(name='Ru-121', element_name='Ruthenium', Z=44, A=121, half_life=0.0, independent_yield_percent=3.78e-13, cumulative_yield_percent=3.78e-13),\n",
       " FPY(name='Cs-152', element_name='Cesium', Z=55, A=152, half_life=0.0, independent_yield_percent=1.27e-13, cumulative_yield_percent=1.27e-13),\n",
       " FPY(name='Zr-112', element_name='Zirconium', Z=40, A=112, half_life=0.0, independent_yield_percent=8.89e-14, cumulative_yield_percent=8.89e-14),\n",
       " FPY(name='Y-110', element_name='Yttrium', Z=39, A=110, half_life=0.0, independent_yield_percent=7.9e-14, cumulative_yield_percent=7.9e-14),\n",
       " FPY(name='Co-78', element_name='Cobalt', Z=27, A=78, half_life=0.0, independent_yield_percent=4.28e-14, cumulative_yield_percent=4.28e-14),\n",
       " FPY(name='Nb-114', element_name='Niobium', Z=41, A=114, half_life=0.0, independent_yield_percent=3.74e-14, cumulative_yield_percent=3.74e-14),\n",
       " FPY(name='Mo-117', element_name='Molybdenum', Z=42, A=117, half_life=0.0, independent_yield_percent=2.32e-14, cumulative_yield_percent=2.32e-14),\n",
       " FPY(name='Ce-159', element_name='Cerium', Z=58, A=159, half_life=0.0, independent_yield_percent=1.28e-14, cumulative_yield_percent=1.28e-14),\n",
       " FPY(name='Fe-75', element_name='Iron', Z=26, A=75, half_life=0.0, independent_yield_percent=1e-14, cumulative_yield_percent=1e-14),\n",
       " FPY(name='Tc-119', element_name='Technetium', Z=43, A=119, half_life=0.0, independent_yield_percent=7.58e-15, cumulative_yield_percent=7.58e-15),\n",
       " FPY(name='Pr-161', element_name='Praseodymium', Z=59, A=161, half_life=0.0, independent_yield_percent=7.13e-15, cumulative_yield_percent=7.13e-15),\n",
       " FPY(name='La-157', element_name='Lanthanum', Z=57, A=157, half_life=0.0, independent_yield_percent=5.31e-15, cumulative_yield_percent=5.31e-15),\n",
       " FPY(name='Y-106', element_name='Yttrium', Z=39, A=106, half_life=0.066, independent_yield_percent=4.98e-15, cumulative_yield_percent=4.98e-15),\n",
       " FPY(name='Ag-129', element_name='Silver', Z=47, A=129, half_life=0.046, independent_yield_percent=2.92e-15, cumulative_yield_percent=2.92e-15),\n",
       " FPY(name='Y-107', element_name='Yttrium', Z=39, A=107, half_life=0.03, independent_yield_percent=6.28e-16, cumulative_yield_percent=6.28e-16),\n",
       " FPY(name='Mn-72', element_name='Manganese', Z=25, A=72, half_life=0.0, independent_yield_percent=6.08e-16, cumulative_yield_percent=6.08e-16),\n",
       " FPY(name='Cr-69', element_name='Chromium', Z=24, A=69, half_life=0.0, independent_yield_percent=2.11e-16, cumulative_yield_percent=2.11e-16),\n",
       " FPY(name='Mn-73', element_name='Manganese', Z=25, A=73, half_life=0.0, independent_yield_percent=6.41e-17, cumulative_yield_percent=6.41e-17),\n",
       " FPY(name='Pm-166', element_name='Promethium', Z=61, A=166, half_life=0.0, independent_yield_percent=5.47e-17, cumulative_yield_percent=5.47e-17),\n",
       " FPY(name='Pr-162', element_name='Praseodymium', Z=59, A=162, half_life=0.0, independent_yield_percent=2.96e-17, cumulative_yield_percent=2.96e-17),\n",
       " FPY(name='V-66', element_name='Vanadium', Z=23, A=66, half_life=0.0, independent_yield_percent=2.05e-17, cumulative_yield_percent=2.05e-17),\n",
       " FPY(name='Y-108', element_name='Yttrium', Z=39, A=108, half_life=0.048, independent_yield_percent=9.19e-19, cumulative_yield_percent=9.19e-19),\n",
       " FPY(name='Cr-67', element_name='Chromium', Z=24, A=67, half_life=0.05, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cr-68', element_name='Chromium', Z=24, A=68, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cr-70', element_name='Chromium', Z=24, A=70, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mn-70', element_name='Manganese', Z=25, A=70, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mn-71', element_name='Manganese', Z=25, A=71, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Fe-74', element_name='Iron', Z=26, A=74, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Fe-76', element_name='Iron', Z=26, A=76, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ni-82', element_name='Nickel', Z=28, A=82, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cu-79', element_name='Copper', Z=29, A=79, half_life=0.188, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cu-81', element_name='Copper', Z=29, A=81, half_life=0.028, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Zn-81', element_name='Zinc', Z=30, A=81, half_life=0.32, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ga-66', element_name='Gallium', Z=31, A=66, half_life=34164.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ga-67', element_name='Gallium', Z=31, A=67, half_life=281810.88, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ga-68', element_name='Gallium', Z=31, A=68, half_life=4062.5999999999995, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ge-66', element_name='Germanium', Z=32, A=66, half_life=8136.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ge-67', element_name='Germanium', Z=32, A=67, half_life=1134.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ge-68', element_name='Germanium', Z=32, A=68, half_life=23410080.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ge-69', element_name='Germanium', Z=32, A=69, half_life=140580.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ge-71', element_name='Germanium', Z=32, A=71, half_life=987552.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ge-71m', element_name='Germanium', Z=32, A=71, half_life=0.02041, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='As-69', element_name='Arsenic', Z=33, A=69, half_life=913.8000000000001, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='As-71', element_name='Arsenic', Z=33, A=71, half_life=235080.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='As-72', element_name='Arsenic', Z=33, A=72, half_life=93600.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='As-73', element_name='Arsenic', Z=33, A=73, half_life=6937920.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Se-72', element_name='Selenium', Z=34, A=72, half_life=725760.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Se-73', element_name='Selenium', Z=34, A=73, half_life=25740.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Se-73m', element_name='Selenium', Z=34, A=73, half_life=2388.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Se-75', element_name='Selenium', Z=34, A=75, half_life=10349856.000000002, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Br-75', element_name='Bromine', Z=35, A=75, half_life=5802.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Br-77', element_name='Bromine', Z=35, A=77, half_life=205329.59999999998, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Br-77m', element_name='Bromine', Z=35, A=77, half_life=256.8, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Kr-77', element_name='Krypton', Z=36, A=77, half_life=4464.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Kr-79', element_name='Krypton', Z=36, A=79, half_life=126144.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Kr-79m', element_name='Krypton', Z=36, A=79, half_life=50.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Rb-79', element_name='Rubidium', Z=37, A=79, half_life=1374.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Rb-81', element_name='Rubidium', Z=37, A=81, half_life=16459.2, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Sr-83', element_name='Strontium', Z=38, A=83, half_life=116676.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Sr-105', element_name='Strontium', Z=38, A=105, half_life=0.055600000000000004, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Sr-106', element_name='Strontium', Z=38, A=106, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Sr-107', element_name='Strontium', Z=38, A=107, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Sr-108', element_name='Strontium', Z=38, A=108, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Y-85', element_name='Yttrium', Z=39, A=85, half_life=9648.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Y-97m', element_name='Yttrium', Z=39, A=97, half_life=1.17, independent_yield_percent=1.57, cumulative_yield_percent=0.0),\n",
       " FPY(name='Zr-87', element_name='Zirconium', Z=40, A=87, half_life=6048.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Zr-88', element_name='Zirconium', Z=40, A=88, half_life=7205760.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Nb-89', element_name='Niobium', Z=41, A=89, half_life=7307.999999999999, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Nb-90', element_name='Niobium', Z=41, A=90, half_life=52560.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Nb-91', element_name='Niobium', Z=41, A=91, half_life=21444480000.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mo-90', element_name='Molybdenum', Z=42, A=90, half_life=20412.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mo-91', element_name='Molybdenum', Z=42, A=91, half_life=929.4, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mo-93', element_name='Molybdenum', Z=42, A=93, half_life=126144000000.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mo-93m', element_name='Molybdenum', Z=42, A=93, half_life=24660.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Mo-116', element_name='Molybdenum', Z=42, A=116, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Tc-93', element_name='Technetium', Z=43, A=93, half_life=9900.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Tc-95', element_name='Technetium', Z=43, A=95, half_life=72000.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Tc-95m', element_name='Technetium', Z=43, A=95, half_life=5270400.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ru-95', element_name='Ruthenium', Z=44, A=95, half_life=5914.8, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ru-97', element_name='Ruthenium', Z=44, A=97, half_life=244512.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ru-122', element_name='Ruthenium', Z=44, A=122, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ru-124', element_name='Ruthenium', Z=44, A=124, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Rh-99', element_name='Rhodium', Z=45, A=99, half_life=1391040.0000000002, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Rh-101m', element_name='Rhodium', Z=45, A=101, half_life=374975.99999999994, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Rh-106m', element_name='Rhodium', Z=45, A=106, half_life=7860.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Rh-108m', element_name='Rhodium', Z=45, A=108, half_life=360.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-99', element_name='Palladium', Z=46, A=99, half_life=1284.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-101', element_name='Palladium', Z=46, A=101, half_life=30492.000000000004, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-103', element_name='Palladium', Z=46, A=103, half_life=1468022.4000000001, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-107m', element_name='Palladium', Z=46, A=107, half_life=21.3, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-125', element_name='Palladium', Z=46, A=125, half_life=0.3987, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-126', element_name='Palladium', Z=46, A=126, half_life=0.2499, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-127', element_name='Palladium', Z=46, A=127, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Pd-129', element_name='Palladium', Z=46, A=129, half_life=0.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-103', element_name='Silver', Z=47, A=103, half_life=3942.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-105', element_name='Silver', Z=47, A=105, half_life=3567456.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-105m', element_name='Silver', Z=47, A=105, half_life=433.8, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-106', element_name='Silver', Z=47, A=106, half_life=1437.6000000000001, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-106m', element_name='Silver', Z=47, A=106, half_life=715391.9999999999, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-107m', element_name='Silver', Z=47, A=107, half_life=44.3, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-108', element_name='Silver', Z=47, A=108, half_life=142.92000000000002, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Ag-108m', element_name='Silver', Z=47, A=108, half_life=13812768000.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cd-105', element_name='Cadmium', Z=48, A=105, half_life=3330.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cd-107', element_name='Cadmium', Z=48, A=107, half_life=23400.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cd-109', element_name='Cadmium', Z=48, A=109, half_life=39864960.0, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " FPY(name='Cd-111m', element_name='Cadmium', Z=48, A=111, half_life=2912.4, independent_yield_percent=0.0, cumulative_yield_percent=0.0),\n",
       " ...]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''Some info on the nuclide data structure just created'''\n",
    "\n",
    "fpy_az"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Min A =  66\n",
      "Max A =  172\n"
     ]
    }
   ],
   "source": [
    "'''Min and Max mass number A'''\n",
    "\n",
    "print('Min A = ',min([fpy.A for fpy in fpy_az]))\n",
    "print('Max A = ',max([fpy.A for fpy in fpy_az]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Function to plot a 3-D surface plot or a 2D surface plot'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''Function to plot a 3-D surface plot or a 2D surface plot'''\n",
    "# to do"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Plot FP yield on the A,Z plane'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''Plot FP yield on the A,Z plane'''\n",
    "# to do"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "code_folding": [
     2
    ]
   },
   "outputs": [],
   "source": [
    "'''Plot function for nuclides yield'''\n",
    "\n",
    "def plot_nuclides(fpy):\n",
    "    \n",
    "    from matplotlib import pyplot as plt # import the pyplot function of the matplotlib package\n",
    "    (fig, ax) = plt.subplots(figsize=(18,7))\n",
    "    \n",
    "    ordered_fpy = sorted( fpy, key=lambda entry: entry.Z, reverse=False)\n",
    "\n",
    "    ax.plot(range(len(fpy)), [nc.cumulative_yield_percent for nc in ordered_fpy], \n",
    "            '-.',color='black', marker='o',markersize=10)\n",
    "    \n",
    "    ax.set_xlabel('Nuclide',fontsize=18)\n",
    "    ax.set_ylabel(r'Yield [%]',fontsize=18)\n",
    "    \n",
    "    plt.xticks(range(0,len(fpy),2),[nc.name for nc in ordered_fpy][::2],rotation=70,fontsize=12)\n",
    "\n",
    "    ax.set_xlim((-1,len(fpy)))\n",
    "    \n",
    "    # create a twin y axis to reconfigure the top x axis\n",
    "    ay1 = ax.twiny()\n",
    "    ay1.set_xlim(ax.get_xlim())\n",
    "    #ay1.xaxis.tick_top()\n",
    "    ay1.set_xticks([])\n",
    "    ay1.set_xticks(range(1,len(fpy),2),[nc.name for nc in ordered_fpy][1::2])\n",
    "    ay1.set_xticklabels([nc.name for nc in ordered_fpy][1::2],minor=True,fontsize=12,rotation=70)\n",
    "\n",
    "    plt.xticks(fontsize=12)\n",
    "    plt.yticks(fontsize=12)\n",
    "    \n",
    "    plt.title('Cumulative (Decayed) Fission Products (>1% Yield)',fontsize=22)\n",
    "    ax.grid(True)\n",
    "    #plt.yscale('log')\n",
    "    plt.show()\n",
    "\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# of FP nuclides =  155\n"
     ]
    }
   ],
   "source": [
    "'''Generate a list of nuclides with 1% or more fission yield'''\n",
    "\n",
    "cfpy_1_percent = list() # this list will be used later\n",
    "\n",
    "for fp in fpy_az:\n",
    "    if fp.cumulative_yield_percent >= 1.0:\n",
    "        cfpy_1_percent.append(fp)\n",
    "        \n",
    "print('# of FP nuclides = ', len(cfpy_1_percent))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''Plot FP nuclides with 1% or more fission yield'''\n",
    "\n",
    "plot_nuclides(cfpy_1_percent)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "code_folding": [
     2
    ]
   },
   "outputs": [],
   "source": [
    "'''Plot function for nuclides half-life'''\n",
    "\n",
    "def plot_nuclides(fpy):\n",
    "    \n",
    "    from matplotlib import pyplot as plt # import the pyplot function of the matplotlib package\n",
    "    (fig, ax) = plt.subplots(figsize=(18,7))\n",
    "\n",
    "    ordered_fpy = sorted( fpy, key=lambda entry: entry.Z, reverse=False)\n",
    "    \n",
    "    ax.plot( [nc.Z for nc in ordered_fpy], [nc.half_life/3600/24/365 for nc in ordered_fpy], \n",
    "             ' ',color='black', marker='x',markersize=10 )\n",
    "    \n",
    "    #plt.xticks(range(0,len(nuclides),20),[nc.symbol for nc in nuclides.values()][::20],rotation=0,fontsize=12)\n",
    "    min_z = min([nc.Z for nc in ordered_fpy])\n",
    "    max_z = max([nc.Z for nc in ordered_fpy])\n",
    "\n",
    "    ax.xaxis.set_ticks(range(min_z, max_z+1,2))\n",
    "    ax.set_xlim((min_z-1,max_z+1))\n",
    "\n",
    "    plt.xlabel(r'Nuclide Z Number',fontsize=18)\n",
    "    plt.ylabel(r'$T_{1/2} [a]$',fontsize=18)\n",
    "    plt.xticks(fontsize=14)\n",
    "    plt.yticks(fontsize=16)\n",
    "    \n",
    "    # create a twin y axis to reconfigure the top x axis\n",
    "    ay1 = ax.twiny()\n",
    "    ay1.set_xlim(ax.get_xlim())\n",
    "    #ay1.xaxis.tick_top()\n",
    "    ay1.set_xticks([])\n",
    "    from mendeleev import element\n",
    "    #ay1.set_xticks(range(0,len(atoms),2),[atm.symbol for atm in atoms][::2],rotation=0,fontsize=12)\n",
    "    ay1.set_xticks(range(min_z,max_z+1), [element(z).symbol for z in range(min_z,max_z+1)])\n",
    "    ay1.set_xticklabels([element(z).symbol for z in range(min_z,max_z+1)],minor=True,fontsize=12)\n",
    "\n",
    "    min_a = min([nc.A for nc in ordered_fpy])\n",
    "    max_a = max([nc.A for nc in ordered_fpy])\n",
    "    \n",
    "    plt.title(r'%i Nuclides: $%i \\leq A \\leq %i$ '%(len(fpy),min_a,max_a),fontsize=22)\n",
    "    ax.grid(True)\n",
    "    plt.yscale('log')\n",
    "    plt.show()\n",
    "\n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "'''Plot half-life of nuclides'''\n",
    "\n",
    "plot_nuclides(fpy_az)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cumulative fission products half-life times<a id=\"cfphalflife\"></a>\n",
    "\n",
    "For those with >=1%, >=0.1%, and >=0% yields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "code_folding": [
     2
    ],
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "'''Function to compute half-life times of given nuclides'''\n",
    "\n",
    "def half_life_times(fp_list):\n",
    "\n",
    "    ordered_fp_list = sorted( fp_list, key=lambda entry: entry.Z, reverse=False )\n",
    "    #print(ordered_fp_list)\n",
    "    \n",
    "    half_life_1_10       = list()\n",
    "    half_life_10_100     = list()\n",
    "    half_life_100_1000   = list()\n",
    "    half_life_1000_1M    = list()\n",
    "    half_life_1M_10M     = list()\n",
    "    half_life_10M_100M   = list()\n",
    "    half_life_100M_infty = list()\n",
    "     \n",
    "    z_0 = 0\n",
    "    for fp in ordered_fp_list:\n",
    "        \n",
    "        h_f_y = fp.half_life/3600/24/365\n",
    "        name = fp.name\n",
    "        element_name = fp.element_name\n",
    "        \n",
    "        assert fp.Z >= z_0\n",
    "        z_0 = fp.Z\n",
    "    \n",
    "        save = (name,element_name)\n",
    "        \n",
    "        if h_f_y >= 1 and h_f_y < 10:\n",
    "            half_life_1_10.append(save)\n",
    "        elif h_f_y >= 10 and h_f_y < 100:\n",
    "            half_life_10_100.append(save)\n",
    "        elif h_f_y >= 100 and h_f_y < 1000:\n",
    "            half_life_100_1000.append(save)\n",
    "        elif h_f_y >= 1000 and h_f_y < 1e+6:\n",
    "            half_life_1000_1M.append(save)\n",
    "        elif h_f_y >= 1e+6 and h_f_y < 10e+6:\n",
    "            half_life_1M_10M.append(save)\n",
    "        elif h_f_y >= 10e+6 and h_f_y < 100e+6:\n",
    "            half_life_10M_100M.append(save)\n",
    "        else:\n",
    "            half_life_100M_infty.append(save)\n",
    "            \n",
    "    print('|  Half-Life       |  FP Nuclides   |')\n",
    "    print('|:-----------------|:------------|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_1_10:\n",
    "        nuclides += ele[0]+', '\n",
    "    print('|1 to 10 y         |', nuclides[:-2],'|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_10_100:\n",
    "        nuclides += ele[0]+', '\n",
    "    print('|10 to 100 y       |', nuclides[:-2],'|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_100_1000:\n",
    "        nuclides += ele[0]+', '\n",
    "    print('|100 to 1 ky       |', nuclides[:-2],'|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_1000_1M:\n",
    "        nuclides += ele[0]+', '\n",
    "    print('|1 ky to 1 My      |', nuclides[:-2],'|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_1M_10M:\n",
    "        nuclides += ele[0]+', '\n",
    "    print('|1 My to 10 My     |', nuclides[:-2],'|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_10M_100M:\n",
    "        nuclides += ele[0]+', '\n",
    "    print('|10 My to 100 My    |', nuclides[:-2],'|')\n",
    "    nuclides = str()\n",
    "    for ele in half_life_100M_infty:\n",
    "        nuclides += ele[0]+', '\n",
    "    #print('|100 My or greater  |', nuclides[:-2],'|')\n",
    "\n",
    "    #print('')\n",
    "    #print('1   to 10   years = ',half_life_1_10)\n",
    "    #print('10  to 100  years = ',half_life_10_100)\n",
    "    #print('100 to 1k   years = ',half_life_100_1000)\n",
    "    #print('1k  to 1M   years = ',half_life_1000_1M)\n",
    "    #print('1M  to 10M  years = ',half_life_1M_10M)\n",
    "    #print('10M to 100M years = ',half_life_10M_100M)\n",
    "    #print('100M to --> years = ',half_life_100M_infty)\n",
    "    \n",
    "    return"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total # of FP nuclides =  155\n",
      "\n",
      "|  Half-Life       |  FP Nuclides   |\n",
      "|:-----------------|:------------|\n",
      "|1 to 10 y         | Pm-147 |\n",
      "|10 to 100 y       | Sr-90, Nb-93m, Cs-137 |\n",
      "|100 to 1 ky       |  |\n",
      "|1 ky to 1 My      | Tc-99 |\n",
      "|1 My to 10 My     | Zr-93, Cs-135 |\n",
      "|10 My to 100 My    |  |\n"
     ]
    }
   ],
   "source": [
    "'''Compute half-life times of cumulative FP with >1% yield'''\n",
    "\n",
    "print('total # of FP nuclides = ', len(cfpy_1_percent))\n",
    "print('')\n",
    "\n",
    "half_life_times( cfpy_1_percent ) # call the function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|  Half-Life       |  $^{235}$U FP Nuclides   |\n",
    "|:-----------------|:------------|\n",
    "|1 to 10 y         | Pm-147 |\n",
    "|10 to 100 y       | Sr-90, Nb-93m, Cs-137 |\n",
    "|100 to 1 ky       |  |\n",
    "|1 ky to 1 My      | Tc-99 |\n",
    "|1 My to 10 My     | Zr-93, Cs-135 |\n",
    "|10 My to 100 My    |  |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total # of FP nuclides =  265\n",
      "\n",
      "|  Half-Life       |  FP Nuclides   |\n",
      "|:-----------------|:------------|\n",
      "|1 to 10 y         | Ru-106, Pm-147 |\n",
      "|10 to 100 y       | Kr-85, Sr-90, Nb-93m, Cs-137, Sm-151 |\n",
      "|100 to 1 ky       |  |\n",
      "|1 ky to 1 My      | Tc-99 |\n",
      "|1 My to 10 My     | Zr-93, Pd-107, Cs-135 |\n",
      "|10 My to 100 My    | I-129 |\n"
     ]
    }
   ],
   "source": [
    "'''Compute half-life times of cumulative FP with >0.1% yield'''\n",
    "\n",
    "cfpy_0dot1_percent = list()\n",
    "\n",
    "for fp in fpy_az:\n",
    "    if fp.cumulative_yield_percent >= 0.1:\n",
    "        cfpy_0dot1_percent.append(fp)\n",
    "        \n",
    "print('total # of FP nuclides = ', len(cfpy_0dot1_percent))\n",
    "print('')\n",
    "\n",
    "half_life_times( cfpy_0dot1_percent )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|  Half-Life       | $^{235}$U FP Nuclides   |\n",
    "|:-----------------|:------------|\n",
    "|1 to 10 y         | Ru-106, Pm-147 |\n",
    "|10 to 100 y       | Kr-85, Sr-90, Nb-93m, Cs-137, Sm-151 |\n",
    "|100 to 1 ky       |  |\n",
    "|1 ky to 1 My      | Tc-99 |\n",
    "|1 My to 10 My     | Zr-93, Pd-107, Cs-135 |\n",
    "|10 My to 100 My    | I-129 |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total # of FP nuclides =  1111\n",
      "\n",
      "|  Half-Life       |  FP Nuclides   |\n",
      "|:-----------------|:------------|\n",
      "|1 to 10 y         | Ru-106, Rh-102m, Rh-101, Cd-109, Sb-125, Cs-134, Pm-147, Pm-146, Eu-155, Eu-154, Tm-171, Hf-172 |\n",
      "|10 to 100 y       | Kr-85, Sr-90, Nb-93m, Cd-113m, Sn-121m, Cs-137, Ba-133, Pm-145, Sm-151, Eu-152, Tb-157 |\n",
      "|100 to 1 ky       | Nb-91, Ag-108m, Tb-158 |\n",
      "|1 ky to 1 My      | Se-79, Kr-81, Nb-94, Mo-93, Tc-99, Sn-126, La-137, Ho-166m, Ho-163 |\n",
      "|1 My to 10 My     | Zr-93, Tc-98, Tc-97, Pd-107, Cs-135 |\n",
      "|10 My to 100 My    | Nb-92, I-129 |\n"
     ]
    }
   ],
   "source": [
    "'''Compute half-life times of cumulative FP all yields'''\n",
    "\n",
    "print('total # of FP nuclides = ', len(fpy_az))\n",
    "print('')\n",
    "\n",
    "half_life_times( fpy_az ) # call the function"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|  Half-Life       |  $^{235}$U FP Nuclides   |\n",
    "|:-----------------|:------------|\n",
    "|1 to 10 y         | Ru-106, Rh-102m, Rh-101, Cd-109, Sb-125, Cs-134, Pm-147, Pm-146, Eu-155, Eu-154, Tm-171, Hf-172 |\n",
    "|10 to 100 y       | Kr-85, Sr-90, Nb-93m, Cd-113m, Sn-121m, Cs-137, Ba-133, Pm-145, Sm-151, Eu-152, Tb-157 |\n",
    "|100 to 1 ky       | Nb-91, Ag-108m, Tb-158 |\n",
    "|1 ky to 1 My      | Se-79, Kr-81, Nb-94, Mo-93, Tc-99, Sn-126, La-137, Ho-166m, Ho-163 |\n",
    "|1 My to 10 My     | Zr-93, Tc-98, Tc-97, Pd-107, Cs-135 |\n",
    "|10 My to 100 My    | Nb-92, I-129 |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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