24_03_labnotebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ripropagate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 03/26/24\n",
    "Testing fastscape base model, using the Zwaan prm as a guide."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[      0.,       0.,       0., ...,       0.,       0.,       0.],\n",
       "        [   2000.,    2000.,    2000., ...,    2000.,    2000.,    2000.],\n",
       "        [   4000.,    4000.,    4000., ...,    4000.,    4000.,    4000.],\n",
       "        ...,\n",
       "        [ 996000.,  996000.,  996000., ...,  996000.,  996000.,  996000.],\n",
       "        [ 998000.,  998000.,  998000., ...,  998000.,  998000.,  998000.],\n",
       "        [1000000., 1000000., 1000000., ..., 1000000., 1000000., 1000000.]]),\n",
       " array([[     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        ...,\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.]]),\n",
       " array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        ...,\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.]]))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ripropagate.generate(etime=0.1,evel=-1,lthick=120,output='./032624_rif',file='ri_base_fs.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_base.sh',ver='a',nodes=1)\n",
    "ripropagate.comp_ascii(depth=600,output='./032624_rif',seed=20,non_initial=True,thicknesses=[20,20,80])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4/4/24\n",
    "Modified the PRM to (partially) match the Brazil model from John"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[      0.,       0.,       0., ...,       0.,       0.,       0.],\n",
       "        [   2000.,    2000.,    2000., ...,    2000.,    2000.,    2000.],\n",
       "        [   4000.,    4000.,    4000., ...,    4000.,    4000.,    4000.],\n",
       "        ...,\n",
       "        [ 996000.,  996000.,  996000., ...,  996000.,  996000.,  996000.],\n",
       "        [ 998000.,  998000.,  998000., ...,  998000.,  998000.,  998000.],\n",
       "        [1000000., 1000000., 1000000., ..., 1000000., 1000000., 1000000.]]),\n",
       " array([[     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        ...,\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.]]),\n",
       " array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        ...,\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.]]))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ripropagate.generate(etime=0.1,evel=-1,lthick=120,output='./040424_rif',file='ri_base_fs.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_base.sh',ver='a',nodes=1)\n",
    "ripropagate.comp_ascii(depth=600,output='./040424_rif',seed=20,non_initial=True,thicknesses=[20,20,80])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4/19/24\n",
    "Discovered I was trying to start with inversion instead of rifting, so starting over a new test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[      0.,       0.,       0., ...,       0.,       0.,       0.],\n",
       "        [   2000.,    2000.,    2000., ...,    2000.,    2000.,    2000.],\n",
       "        [   4000.,    4000.,    4000., ...,    4000.,    4000.,    4000.],\n",
       "        ...,\n",
       "        [ 996000.,  996000.,  996000., ...,  996000.,  996000.,  996000.],\n",
       "        [ 998000.,  998000.,  998000., ...,  998000.,  998000.,  998000.],\n",
       "        [1000000., 1000000., 1000000., ..., 1000000., 1000000., 1000000.]]),\n",
       " array([[     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        ...,\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.]]),\n",
       " array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        ...,\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.]]))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ripropagate.generate(etime=16,evel=0.5,lthick=120,output='./041924_rif',file='ri_base_fs.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='a',nodes=4)\n",
    "ripropagate.comp_ascii(depth=600,output='./041924_rif',seed=20,non_initial=True,thicknesses=[20,20,80])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4/23/24\n",
    "\n",
    "Attempting to invert the low n version of this model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ripropagate.generate(etime=36,evel=-1,lthick=120,output='./042324_rif',file='ri_base_fs_lown.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='a',nodes=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4/26/24\n",
    "Attempting to invert the high n version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ripropagate.generate(etime=36,evel=-1,lthick=120,output='./042624_rif',file='ri_base_fs.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='a',nodes=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5/28/24\n",
    "Creating a base model to do tests on boundary conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[      0.,       0.,       0., ...,       0.,       0.,       0.],\n",
       "        [   2000.,    2000.,    2000., ...,    2000.,    2000.,    2000.],\n",
       "        [   4000.,    4000.,    4000., ...,    4000.,    4000.,    4000.],\n",
       "        ...,\n",
       "        [ 996000.,  996000.,  996000., ...,  996000.,  996000.,  996000.],\n",
       "        [ 998000.,  998000.,  998000., ...,  998000.,  998000.,  998000.],\n",
       "        [1000000., 1000000., 1000000., ..., 1000000., 1000000., 1000000.]]),\n",
       " array([[     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        ...,\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.]]),\n",
       " array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        ...,\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.]]))"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ripropagate.generate(etime=16,evel=0.5,lthick=120,output='./052824_rif',file='ri_base_fs_lown.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='a',nodes=2)\n",
    "ripropagate.comp_ascii(depth=600,output='./052824_rif',seed=20,non_initial=True,thicknesses=[20,20,80])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6/5/24\n",
    "Have both an original and efficient solver model running from manual prms. Creating inversion prms for those."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "ripropagate.generate(etime=36,evel=-1,lthick=120,output='./060524_rif_eff',file='ri_base_fs_lown_eff.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='a',nodes=2)\n",
    "ripropagate.generate(etime=36,evel=-1,lthick=120,output='./060524_rif',file='ri_base_fs_lown.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='b',nodes=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also want to try a version of DT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "ripropagate.generate(etime=7.3,evel=-2,lthick=80,output='./060524_rif_eff_dt',file='ri_base_fs_lown_eff.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='c',nodes=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6/14/24\n",
    "Want to do DT with the higher solver tolerances - 060524_rif_eff results suggest it makes a difference."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([[      0.,       0.,       0., ...,       0.,       0.,       0.],\n",
       "        [   2000.,    2000.,    2000., ...,    2000.,    2000.,    2000.],\n",
       "        [   4000.,    4000.,    4000., ...,    4000.,    4000.,    4000.],\n",
       "        ...,\n",
       "        [ 996000.,  996000.,  996000., ...,  996000.,  996000.,  996000.],\n",
       "        [ 998000.,  998000.,  998000., ...,  998000.,  998000.,  998000.],\n",
       "        [1000000., 1000000., 1000000., ..., 1000000., 1000000., 1000000.]]),\n",
       " array([[     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        ...,\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.],\n",
       "        [     0.,   2000.,   4000., ..., 596000., 598000., 600000.]]),\n",
       " array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        ...,\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.],\n",
       "        [0., 0., 0., ..., 0., 0., 0.]]))"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ripropagate.generate(etime=7.3,evel=2,lthick=80,output='./061424_rif_dt',file='ri_base_fs_lown.prm',soft=0.375,depth=600,p1=400,p2=200, shell='run_tufts.sh',ver='a',nodes=2)\n",
    "ripropagate.comp_ascii(depth=600,output='./061424_rif_dt',seed=20,non_initial=True,thicknesses=[20,20,40])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "riftinversion",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}