From 60ed4984cc2bf4fc49c033d4812bf40aa4e29e75 Mon Sep 17 00:00:00 2001 From: ojustino Date: Mon, 31 Jan 2022 13:12:53 -0500 Subject: [PATCH 01/12] Copied first draft of Horne extraction walkthrough --- .../horne_extract/optimal_extract_VLT.ipynb | 841 ++++++++++++++++++ .../horne_extract/requirements.txt | 11 + 2 files changed, 852 insertions(+) create mode 100644 notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb create mode 100644 notebook_sandbox/horne_extract/requirements.txt diff --git a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb new file mode 100644 index 00000000..6587978e --- /dev/null +++ b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb @@ -0,0 +1,841 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "57c0bc24-5580-4714-bcc3-fd45708bef0f", + "metadata": {}, + "source": [ + "# Optimal/Horne extraction exploration" + ] + }, + { + "cell_type": "markdown", + "id": "fc5ad51c-fc94-4dfc-8750-3e58b6224278", + "metadata": {}, + "source": [ + "This is not currently an option in `specreduce`, so I adapted a preliminary workflow from a JDAT Notebook and the original paper introducing the method.\n", + "\n", + "I left notes *[in brackets]* on how I understand these steps in comparison to what should occur in the extraction step of the block-style workflow we envision for `specreduce`." + ] + }, + { + "cell_type": "markdown", + "id": "111995f6-da4a-4c42-97c0-8af099f34cf4", + "metadata": {}, + "source": [ + "### Steps in [Spectral Extraction-static.ipynb](https://spacetelescope.github.io/jdat_notebooks/notebooks/optimal_extraction/Spectral%20Extraction-static.html):\n", + "\n", + "1. Define extraction region *[user should provide an appropriate image]*\n", + "2. Pick a slice *[user should have done this]*\n", + "3. Define extraction kernel *[user does most of this through class arguments]*\n", + " - Select PSF template\n", + " - Choose a polynomial for background fitting\n", + "4. Fit extraction kernel to initial slice\n", + "5. Fit geometric distortion\n", + " - Determine cross-dispersion bins for trace fitting\n", + " - Fit a kernel to each bin to find trace center *[we already have this from the trace object]*\n", + " - Polynomial fit of trace centers\n", + "6. Combine composite model with 2D image to create output 1D spectrum\n", + " - Create variance image\n", + " - Generate 1D spectrum\n", + "7. Compare with 1D spectrum" + ] + }, + { + "cell_type": "markdown", + "id": "a4acfa79-3a9d-4716-994e-3031aa85503c", + "metadata": {}, + "source": [ + "### Steps in [Horne (1986)](https://ui.adsabs.harvard.edu/abs/1986PASP...98..609H%2F/abstract)\n", + "\n", + "1. Bias subtraction *[done in block of specreduce]*\n", + "2. Initial variance estimate\n", + "3. Fit sky background\n", + " - \"We therefore generally perform a least-squares polynomial fit to the sky data at each wavelength. Individual sky pixels are given weights inversely proportional to their variances as estimated in Step 2\" *[overlaps with notebook's 3b]*\n", + "4. Extract standard spectrum and its variance\n", + " - Subtract the sky background found in Step 3 from the image.\n", + "5. Construct spatial profile\n", + "6. Revise variance estimates\n", + "7. Mask cosmic ray hits\n", + "8. Extract optimal spectrum and its variance\n", + "9. Iterate Steps 5-8\n", + "\n", + "I understand the first four steps as the standard procedure and the last five as add-ons that help squeeze out extra signal-to-noise." + ] + }, + { + "cell_type": "markdown", + "id": "e796fadd-c218-4d4b-a0ab-ab7765561601", + "metadata": {}, + "source": [ + "# Procedure" + ] + }, + { + "cell_type": "markdown", + "id": "133cab85-c8fb-4f81-ac04-ec4036270ff7", + "metadata": {}, + "source": [ + "I will follow steps from the notebook more closely with an eye on adding steps from the paper as we improve functionality. We are limiting to 2D spectra at the moment with an eye on supporting 3D spectra in the future." + ] + }, + { + "cell_type": "markdown", + "id": "6b9af146-f5bd-4cb5-b3f4-3fdca01d5ffe", + "metadata": {}, + "source": [ + "## I. Prelude" + ] + }, + { + "cell_type": "markdown", + "id": "07e759d9-e3df-4ed3-915f-4632cd063986", + "metadata": {}, + "source": [ + "### Imports\n", + "\n", + "Clone the [kosmos repository](https://github.com/jradavenport/kosmos) and set its path as the `kosmos_path` variable near the end of this cell." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "76db561f-900a-4085-ba17-46ad2cda29ca", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import sys\n", + "from astropy.io import fits\n", + "from astropy.modeling import models, fitting\n", + "from astropy.visualization import simple_norm\n", + "from matplotlib.patches import Rectangle\n", + "from pathlib import Path\n", + "from specreduce import SpecreduceOperation\n", + "\n", + "# enable import for kosmos objects. needed since it's not yet a proper package\n", + "# (it may pay to copy relevant kosmos code to specreduce?)\n", + "kosmos_path = '...'\n", + "sys.path.append(kosmos_path)\n", + "import kosmos" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c1a27c6a-5e09-49c8-8d6a-73b0937f7866", + "metadata": {}, + "outputs": [], + "source": [ + "mpl.rcParams.update({'axes.titlesize': 18, 'axes.labelsize': 12,\n", + " 'legend.fontsize': 12, 'axes.grid': False,\n", + " 'grid.alpha': .5, 'grid.color': 'k',\n", + " 'axes.edgecolor': 'k'})" + ] + }, + { + "cell_type": "markdown", + "id": "0b7bf45d-c302-44ff-a1f3-a435ff080cd6", + "metadata": {}, + "source": [ + "### Get spectral files\n", + "Download them from this [Box folder](https://stsci.app.box.com/s/io2gk1r7di0ryhtnxuh4mevvyaj5oqmn) and replace the `...` in the following cell with their location on your machine." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7daa3a50-05c6-4923-9ccc-49a503da47f5", + "metadata": {}, + "outputs": [], + "source": [ + "download_dir = Path('...')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "fad1aa43-65d8-4b4b-8069-a7f79efc0412", + "metadata": {}, + "outputs": [], + "source": [ + "# 2d spectra\n", + "file_2d1 = download_dir / Path('legac_M1_v3.11_spec2d_126153.fits')\n", + "file_2d2 = download_dir / Path('legac_M1_v3.11_spec2d_127036.fits')\n", + "\n", + "vlt_img1 = fits.getdata(file_2d1)\n", + "vlt_img2 = fits.getdata(file_2d2)\n", + "\n", + "vlt_img1_head = fits.getheader(file_2d1)\n", + "vlt_img2_head = fits.getheader(file_2d2)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3f91a7f5-4a3a-47ee-a4a4-23468ec1faea", + "metadata": {}, + "outputs": [], + "source": [ + "# 2d weights\n", + "file_2d_weight1 = download_dir / Path('legac_M1_v3.11_wht2d_126153.fits')\n", + "file_2d_weight2 = download_dir / Path('legac_M1_v3.11_wht2d_127036.fits')\n", + "\n", + "vlt_weight1 = fits.getdata(file_2d_weight1)\n", + "vlt_weight2 = fits.getdata(file_2d_weight2)\n", + "\n", + "vlt_weight1_head = fits.getheader(file_2d_weight1)\n", + "vlt_weight2_head = fits.getheader(file_2d_weight2)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8d7a93cc-24bb-416d-9ad8-36bc52a5a5e6", + "metadata": {}, + "outputs": [], + "source": [ + "# 1d references\n", + "file_1d1 = download_dir / Path('legac_M1_v3.11_spec1d_126153.fits')\n", + "file_1d2 = download_dir / Path('legac_M1_v3.11_spec1d_127036.fits')\n", + "\n", + "vlt_ref1 = fits.getdata(file_1d1)\n", + "vlt_ref2 = fits.getdata(file_1d2)\n", + "\n", + "vlt_ref1_head = fits.getheader(file_1d1)\n", + "vlt_ref2_head = fits.getheader(file_1d2)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "48b59abb-a2dc-4b6a-a05f-38832f649c08", + "metadata": { + "scrolled": true, + "tags": [] + }, + "outputs": [ + { + "data": { + "text/plain": [ + "SIMPLE = T / file does conform to FITS standard \n", + "BITPIX = -32 / number of bits per data pixel \n", + "NAXIS = 2 / number of data axes \n", + "NAXIS1 = 6166 / length of data axis 1 \n", + "NAXIS2 = 81 / length of data axis 2 \n", + "EXTEND = T / FITS dataset may contain extensions \n", + "COMMENT FITS (Flexible Image Transport System) format is defined in 'Astronomy\n", + "COMMENT and Astrophysics', volume 376, page 359; bibcode: 2001A&A...376..359H \n", + "DATE = '2015-01-26T12:24:07' / file creation date (YYYY-MM-DDThh:mm:ss UT) \n", + "ORIGIN = 'ESO ' / European Southern Observatory " + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vlt_img1_head[:10]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "ece0e290-aa85-422c-be94-8e06a49e6524", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "aspect_ratio = vlt_img1.shape[1] / (2 * vlt_img1.shape[0])\n", + "\n", + "fig1, ax1 = plt.subplots(figsize=(10,6))\n", + "plot1 = ax1.imshow(vlt_img1,\n", + " vmin=0, vmax=np.nanmax(vlt_img1) / 2,\n", + " aspect=aspect_ratio, cmap=mpl.cm.magma, origin='lower')\n", + "fig1.colorbar(plot1)\n", + "ax1.set_title('Original 2D VLT Spectrum')\n", + "ax1.grid()" + ] + }, + { + "cell_type": "markdown", + "id": "1c876ca5-90dd-41b0-b260-4ae7b741f4bc", + "metadata": {}, + "source": [ + "### Select extraction region\n", + "The 2D image has several NaN values, so I begin by slicing it down to its finite region." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "4cb82886-e28f-4a3f-ab7f-3e4f45241633", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(893, 4992) (24, 54)\n" + ] + } + ], + "source": [ + "# borders of finite region\n", + "xx1 = np.argmin(np.isnan(vlt_img1[0]))\n", + "xx2 = vlt_img1.shape[-1] - np.argmin(np.isnan(vlt_img1[0][::-1]))\n", + "yy1 = np.flatnonzero(vlt_img1[:,xx1])[0]\n", + "yy2 = np.flatnonzero(vlt_img1[:,xx1])[-1]\n", + "\n", + "extraction_region = vlt_img1[yy1:yy2, xx1:xx2]\n", + "print((xx1, xx2), (yy1, yy2))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "f49b99a9-5bea-4f76-847d-8f6500b0238a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "aspect_ratio2 = extraction_region.shape[1] / (1 * extraction_region.shape[0])\n", + "fig2, ax2 = plt.subplots(figsize=(10,6))\n", + "plot2 = ax2.imshow(extraction_region, aspect=aspect_ratio2,\n", + " vmin=0, vmax=extraction_region.max()/2,\n", + " cmap=mpl.cm.magma, origin='lower',\n", + " extent=(0, extraction_region.shape[-1],\n", + " 0, extraction_region.shape[0]))\n", + "fig2.colorbar(plot2)\n", + "ax2.set_title('Finite region of 2D VLT Spectrum')\n", + "ax2.grid()" + ] + }, + { + "cell_type": "markdown", + "id": "7e136416-f759-4bb9-a186-326863caefff", + "metadata": {}, + "source": [ + "### Calculate a trace of the selected region\n", + "\n", + "Generate a example trace object using code from the [kosmos](https://github.com/jradavenport/kosmos) repository. (Ideally, future users will create the output from this step by running through the previous step of the `specreduce` pipeline.)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "55f2de30-ecde-4ca8-9a77-8fc1378e0665", + "metadata": {}, + "outputs": [], + "source": [ + "vlt_ext_trace1 = kosmos.trace(extraction_region)" + ] + }, + { + "cell_type": "markdown", + "id": "3ee1e581-b90b-4a45-bfa9-58506d03cbb8", + "metadata": {}, + "source": [ + "### Choose kernel slice parameters\n", + "\n", + "Vary the width and start column of the extraction kernel to see where it lands on the updated version of `fig2`." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b68bff28-237f-427e-9e44-df75ec2ccbd2", + "metadata": {}, + "outputs": [], + "source": [ + "# select a kernel slice\n", + "slice_width = 500\n", + "column0 = 2000" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "48daba09-9219-4a49-932b-ea54aa1adfc5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# begin remaking the extraction region plot\n", + "fig3, ax3 = plt.subplots(figsize=(10,6))\n", + "plot3 = ax3.imshow(extraction_region, aspect=aspect_ratio2,\n", + " vmin=0, vmax=extraction_region.max()/2,\n", + " cmap=mpl.cm.magma, origin='lower',\n", + " extent=(0, extraction_region.shape[-1],\n", + " 0, extraction_region.shape[0]))\n", + "fig3.colorbar(plot3)\n", + "ax3.set_title('Finite region of 2D VLT Spectrum')\n", + "ax3.grid()\n", + "\n", + "# add the trace\n", + "ax3.plot(vlt_ext_trace1, '--', color='#008ca8', lw=2.5, alpha=.7, label='trace')\n", + "\n", + "# add the kernel slice\n", + "rect = Rectangle((column0, 0), slice_width, extraction_region.shape[0],\n", + " lw=2, edgecolor='#c4d600', alpha=.6, facecolor='none', linestyle='--')\n", + "ax3.add_patch(rect)" + ] + }, + { + "cell_type": "markdown", + "id": "08ad3726-e22e-433b-9518-32193dbefa3a", + "metadata": {}, + "source": [ + "## II. Extraction\n", + "Once the kernel slice parameters are settled, we have everything needed to begin the extraction. I've created a template class with a superficially similar structure as the current version of `specreduce.extract.BoxcarExtract`.\n", + "\n", + "This implementation could support some more arguments (as noted in the docstring) and be faster. It could also make better use of astropy objects like `Spectrum1D`." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "5520b8db-7a44-4141-910e-89bbecf43f8a", + "metadata": {}, + "outputs": [], + "source": [ + "class OptimalExtract(SpecreduceOperation):\n", + " \"\"\"\n", + " Perform an optimal (Horne) extraction on a source in a two (or,\n", + " in the future, three)-dimensional spectrum, producing a 1D spectrum.\n", + " \n", + " image : numpy.ndarray, required\n", + " The input 2D/3D spectrum from which to extract a source.\n", + " \n", + " weights : numpy.ndarray, required\n", + " Should have same shape as image.\n", + " \n", + " trace : numpy.nd.array, required [specreduce.trace.Trace? in the future?]\n", + " The trace product created as output from the previous step of the\n", + " specreduce pipeline.\n", + " \n", + " width : int, required\n", + " The width (in columns) of the extraction kernel.\n", + " \n", + " column : int, required\n", + " The column at the edge of the extraction kernel.\n", + " [Do we want the center?]\n", + " \n", + " disp_axis : int, optional\n", + " The index of the image array's dispersion axis.\n", + " \n", + " Possible additions: sky_offset, sky_width, cross_disp_axis (for 3D cases)\n", + " \"\"\"\n", + " \n", + " def __init__(self, image, weights, trace,\n", + " width, column, disp_axis=1,\n", + " # cross_disp_axis=...\n", + " ):\n", + "\n", + " if width < 1:\n", + " raise ValueError('width must be >= 1')\n", + "\n", + " self.trace = trace\n", + " self.width = width\n", + " self.column = column\n", + " self.disp_axis = disp_axis\n", + "\n", + " if disp_axis == 1:\n", + " self.image = image\n", + " self.weights = weights\n", + " self.cross_disp_axis = 0\n", + " self.disp_axis = 1\n", + "\n", + " elif disp_axis == 0:\n", + " # transpose image so cross-dispersion axis is in y direction\n", + " print('image transposed')\n", + " self.image = image.T\n", + " self.weights = weights.T\n", + " self.cross_disp_axis = 0\n", + " self.disp_axis = 1\n", + "\n", + " # elif self.disp_axis == 2 # for eventual 3D case\n", + " else:\n", + " raise ValueError('disp_axis must be 0 or 1')\n", + " # raise ValueError('disp_axis must be 0, 1, or 2') # (in 3D case)\n", + " \n", + " def __call__(self):\n", + " # nb2. isolate user-selected slice of image\n", + " lambda1, lambda2, kernel_slice = self._coadd_kernel_columns()\n", + " xd_pixels = np.arange(kernel_slice.shape[0]) # y plot dir / x spec dir\n", + "\n", + " # nb3a. fit source profile, using Gaussian model as a template\n", + " # NOTE: could add argument for users to provide their own model\n", + " gauss_prof = models.Gaussian1D(amplitude=kernel_slice.max(),\n", + " mean=kernel_slice.argmax(),\n", + " stddev=2)\n", + "\n", + " # nb3b. fit sky background, using polynomial model as a template\n", + " # NOTE: should we be fitting the background if there will be a sky subtraction step?\n", + " # if so, could add argument for users to provide their own model\n", + " bkgrd_prof = models.Polynomial1D(2)\n", + "\n", + " # nb4. Fit extraction kernel to slice using Levenberg-Marquardt template\n", + " ext_prof = gauss_prof + bkgrd_prof\n", + " fitter = fitting.LevMarLSQFitter()\n", + " fit_ext_kernel = fitter(ext_prof, xd_pixels, kernel_slice)\n", + "\n", + " # nb6a. Create variance image\n", + " good_pix = ((self.image > 0)\n", + " * np.isfinite(self.image) * (self.weights != 0))\n", + " weights_masked = np.ma.array(self.weights, mask=~good_pix)\n", + "\n", + " # make variance image\n", + " # NOTE: could either add specific argument for variance image\n", + " # OR the equation for converting the weights into variances\n", + " # variance_image = np.ma.divide(1, weights_masked * pix_scale**4) # drizzlepac\n", + " variance_image = np.ma.divide(1, weights_masked) # VLT\n", + "\n", + " # nb6b. Generate 1D spectrum\n", + " spec1d = np.zeros(self.image.shape[-1])\n", + " for col_px in range(self.image.shape[-1]):\n", + " # set up this column's fit, using trace as mean\n", + " kernel_col = fit_ext_kernel.copy()\n", + " kernel_col.mean_0 = self.trace[col_px]\n", + " # kernel_col.stddev_0 = self.fwhm_fit(x) # NOTE: support varying FWHMs?\n", + " kernel_vals = kernel_col(xd_pixels)\n", + "\n", + " # fetch matching columns from original and variance images\n", + " image_col = self.image[:, col_px]\n", + " variance_col = variance_image[:, col_px]\n", + "\n", + " # calculate kernel normalization\n", + " g_x = np.ma.sum(kernel_vals**2 / variance_col)\n", + " if np.ma.is_masked(g_x):\n", + " continue\n", + "\n", + " # sum by column weights\n", + " weighted_col = np.ma.divide(image_col * kernel_vals, variance_col)\n", + " spec1d[col_px] = np.ma.sum(weighted_col) / g_x\n", + "\n", + " return spec1d\n", + "\n", + " def _coadd_kernel_columns(self):\n", + " # x plot dir / lambda spec dir\n", + " border_left = max(0, self.column - self.width // 2)\n", + " border_right = min(self.column + self.width // 2, self.image.shape[-1])\n", + " coadd_region = np.arange(border_left, border_right)\n", + "\n", + " signal = self.image[:, coadd_region].sum(axis=1) / self.width\n", + " return border_left, border_right, signal\n", + " \n", + "class HorneExtract(OptimalExtract):\n", + " pass" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fc32beb9-1fef-4d3f-aca5-bfd53228fc5c", + "metadata": { + "scrolled": true, + "tags": [] + }, + "outputs": [], + "source": [ + "weight_region = vlt_weight1[yy1:yy2, xx1:xx2]\n", + "ext = OptimalExtract(extraction_region, weight_region,\n", + " vlt_ext_trace1, slice_width, column0)\n", + "result1d = ext()" + ] + }, + { + "cell_type": "markdown", + "id": "fd6a825f-2db8-4d39-b49d-b248bad87b71", + "metadata": {}, + "source": [ + "## III. Results\n", + "Calculate wavelengths from the header and normalize the reference and extracted 1D spectra to allow for a comparison." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "41b3ea46-b9f7-4b0f-999d-63f84e6ef623", + "metadata": {}, + "outputs": [], + "source": [ + "# account for strange format of header keys/values\n", + "wv0 = float(vlt_img1_head['HIERARCH ESO PRO REC1 PARAM4 VALUE'])\n", + "wv1 = float(vlt_img1_head['HIERARCH ESO PRO REC1 PARAM5 VALUE'])\n", + "wavelengths = np.linspace(wv0, wv1, len(result1d))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "cb3f9a31-eb07-4d4c-9190-7457df614512", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig4, ax4 = plt.subplots(figsize=(10, 6))\n", + "ax4.plot(wavelengths, vlt_ref1[xx1:xx2] / vlt_ref1[xx1:xx2].max(),\n", + " c='#d4bd8a', label='reference 1D spectrum')\n", + "ax4.plot(wavelengths, result1d / result1d.max(),\n", + " c='#1d1160', label='extracted 1D spectrum')\n", + "ax4.set_xlabel('wavelength (angstroms)')\n", + "ax4.set_title('1D VLT Spectra, normalized by max')\n", + "ax4.grid()\n", + "ax4.legend()" + ] + }, + { + "cell_type": "markdown", + "id": "f9cbaa03-1e96-4237-9926-ccda61a4e05c", + "metadata": {}, + "source": [ + "### Remove weight from uncaught bad pixels\n", + "\n", + "The three large emission \"features\" are caused by columns with intensity and weights concentrated at the edges, away from the source.\n", + "\n", + "*NOTE: Should we be worried that these pixels weren't caught in the extraction process?*" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "d342570d-da26-4579-b746-7b7d99953366", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "bad_pixels = np.argsort(result1d)[-3:]\n", + "buffer = 5\n", + "\n", + "fig5, axs5 = plt.subplots(2, len(bad_pixels), figsize=(10, 10))\n", + "\n", + "for i, arr in enumerate(np.rollaxis(axs5.T, 0)):\n", + "# for i, arr in enumerate(axs5, 0):\n", + " # print(arr)\n", + " ax0, ax1 = arr#.T\n", + " region0 = bad_pixels[i] - buffer\n", + " region1 = bad_pixels[i] + buffer\n", + " \n", + " pl0 = ax0.imshow(extraction_region[:, region0:region1],\n", + " cmap=plt.cm.magma, vmin=0, vmax=extraction_region.max() / 2,\n", + " origin='lower')\n", + " fig5.colorbar(pl0, ax=ax0)\n", + " ax0.set_xticks([0, buffer], [region0, bad_pixels[i]])\n", + " ax0.set_title(f\"Column {bad_pixels[i]} intensities\", fontsize=12)\n", + " \n", + " pl1 = ax1.imshow(extraction_region[:, region0:region1],\n", + " cmap=plt.cm.magma, vmin=0, vmax=weight_region.max() / 2,\n", + " origin='lower')\n", + " fig5.colorbar(pl1, ax=ax1)\n", + " ax1.set_xticks([0, buffer], [region0, bad_pixels[i]])\n", + " ax1.set_title(f\"Column {bad_pixels[i]} weights\", fontsize=12)\n", + " \n", + " # if i == 0:\n", + " # ax0.set_xlabel('pixel')\n", + " # ax1.set_xlabel('pixel')\n", + " \n", + "for arr in axs5:\n", + " for subplt in arr:\n", + " rect5 = Rectangle((buffer - .5, 0 - .5), 1, extraction_region.shape[0],\n", + " lw=2, edgecolor='#c4d600', alpha=.6, facecolor='none', linestyle='--')\n", + " subplt.add_patch(rect5)" + ] + }, + { + "cell_type": "markdown", + "id": "50c9e918-23e7-45c3-9ab2-f46eee0a6d6f", + "metadata": {}, + "source": [ + "Throwing out these columns entirely (by assigning them zero weight) gives a better match to the reference 1D spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "ea555b2c-81e8-456d-9ce0-50d42eddbd8d", + "metadata": {}, + "outputs": [], + "source": [ + "# assign zero weight to \"bad\" pixels\n", + "wei0 = weight_region.copy()\n", + "wei0[:, bad_pixels] = 0\n", + "\n", + "# re-try extraction with new weights\n", + "ext0 = HorneExtract(extraction_region, wei0,\n", + " vlt_ext_trace1, slice_width, column0)\n", + "r1d = ext0()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "69dc377c-9c09-4dc9-a2b2-07ddbe28f632", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig6, ax6 = plt.subplots(figsize=(10, 6))\n", + "ax6.plot(wavelengths, vlt_ref1[xx1:xx2] / vlt_ref1[xx1:xx2].max(), #alpha=.5,\n", + " c='#d4bd8a', label='reference 1D spectrum')\n", + "ax6.plot(wavelengths, r1d / r1d.max(), alpha=.5,\n", + " c='#1d1160', label='extracted 1D spectrum')\n", + "ax6.set_xlabel('wavelength (angstroms)')\n", + "ax6.set_title('1D VLT Spectra, normalized by max')\n", + "ax6.grid()\n", + "ax6.legend()" + ] + }, + { + "cell_type": "markdown", + "id": "af2d127d-d5ee-4f72-90a2-5a4f73c1bf88", + "metadata": { + "slideshow": { + "slide_type": "slide" + } + }, + "source": [ + "## About this notebook\n", + "\n", + "**Author:** O. Justin Otor, Indigo/JDAT\n", + "
\n", + "**Updated On:** 2022-01" + ] + }, + { + "cell_type": "markdown", + "id": "268c48f6-3fc6-40ed-8ae0-2b9e98257d43", + "metadata": {}, + "source": [ + "[Top of Page](#top)\n", + "\"Space " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:specred1]", + "language": "python", + "name": "conda-env-specred1-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/notebook_sandbox/horne_extract/requirements.txt b/notebook_sandbox/horne_extract/requirements.txt new file mode 100644 index 00000000..1f161b51 --- /dev/null +++ b/notebook_sandbox/horne_extract/requirements.txt @@ -0,0 +1,11 @@ +astropy=5.0 +matplotlib==3.5.0 +numpy==1.21.4 + +# remember the following: +# git clone git@github.com:jradavenport/kosmos.git OR git clone https://github.com/jradavenport/kosmos +# fix ".data" error in trace function +# use location as argument to sys.path.insert() + +# will also need to clone specreduce +# git clone git@github.com:astropy/specreduce.git OR git clone https://github.com/astropy/specreduce From 69d42c7f7c5a1fd2e6d57515e9676dc123aec6ab Mon Sep 17 00:00:00 2001 From: ojustino Date: Thu, 24 Feb 2022 11:31:54 -0500 Subject: [PATCH 02/12] Created HorneExtract and OptimalExtract classes --- specreduce/extract.py | 126 +++++++++++++++++++++++++++++++++++++++++- 1 file changed, 125 insertions(+), 1 deletion(-) diff --git a/specreduce/extract.py b/specreduce/extract.py index 0fec112b..07aac330 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -5,12 +5,14 @@ import numpy as np from astropy import units as u +from astropy.modeling import models, fitting +from astropy.nddata import StdDevUncertainty from specreduce.core import SpecreduceOperation from specreduce.tracing import FlatTrace from specutils import Spectrum1D -__all__ = ['BoxcarExtract'] +__all__ = ['BoxcarExtract', 'HorneExtract', 'OptimalExtract'] @dataclass @@ -143,3 +145,125 @@ def _ap_weight_image(trace, width, disp_axis, crossdisp_axis, image_shape): flux=ext1d * getattr(image, 'unit', u.DN)) return spec + + +@dataclass +class HorneExtract(SpecreduceOperation): + """ + Perform a Horne extraction (a.k.a. optimal) on a region in a + two-dimensional spectrum. + """ + + def __call__(self, image, weights, trace_object, width, column, + disp_axis=1, crossdisp_axis=0): + """ + Run the Horne calculation on a region of an image and extract a + 1D spectrum. + + Parameters + ---------- + + image : `~astropy.nddata.CCDData` or array???, required + The input 2D spectrum from which to extract a source. + + weights : `~astropy.nddata.CCDData` or array???, required + The associated weights for each pixel of the image. Should + have the same dimensions. + + trace_object : `~specreduce.tracing.Trace`, required + The associated 1D trace object created for the 2D image. + + width : int, required + The width of the kernel defining the extraction slice. + Measured in the dispersion direction. + + column : int, required + The initial column of the extraction slice. The slice will + cover columns `column` to `column + width`. + + disp_axis : int, optional + The index of the image's dispersion axis. [default: 1] + + crossdisp_axis : int, optional + The index of the image's cross-dispersion axis. [default: 0] + + Returns + ------- + spec_1d : `~specutils.Spectrum1D` + The final, Horne extracted 1D spectrum. + """ + # isolate user-selected slice of image + kernel_slice = self._coadd_kernel_columns(image, width, + column, disp_axis) + xd_pixels = np.arange(kernel_slice.shape[0]) # y plot dir / x spec dir + + # fit source profile, using Gaussian model as a template + # NOTE: could add argument for users to provide their own model + gauss_prof = models.Gaussian1D(amplitude=kernel_slice.max(), + mean=kernel_slice.argmax(), + stddev=2) + + # fit sky background, using polynomial model as a template + # NOTE: will this be deleted and go into a class of its own??? + bkgrd_prof = models.Polynomial1D(2) + + # Fit extraction kernel to slice using Levenberg-Marquardt template + ext_prof = gauss_prof + bkgrd_prof + fitter = fitting.LevMarLSQFitter() + fit_ext_kernel = fitter(ext_prof, xd_pixels, kernel_slice) + + # create variance image + # NOTE: this equation is specific to VLT; could be another argument? + good_pix = ((image > 0) * np.isfinite(image) * (weights != 0)) + weights_masked = np.ma.array(weights, mask=~good_pix) + + variance_image = np.ma.divide(1, weights_masked) # VLT + + # generate 1D spectrum + extract = np.zeros(image.shape[-1]) # FILL IN A LIST?? RENAME?? + for col_px in range(image.shape[-1]): + # set up this column's fit, using trace as mean + kernel_col = fit_ext_kernel.copy() + kernel_col.mean_0 = trace_object.trace[col_px] + # kernel_col.stddev_0 = self.fwhm_fit(x) + # NOTE: support for variable FWHMs forthcoming + kernel_vals = kernel_col(xd_pixels) + + # fetch matching columns from original and variance images + image_col = image[:, col_px] + variance_col = variance_image[:, col_px] + + # calculate kernel normalization + g_x = np.ma.sum(kernel_vals**2 / variance_col) + if np.ma.is_masked(g_x): + continue + + # sum by column weights + weighted_col = np.ma.divide(image_col * kernel_vals, variance_col) + extract[col_px] = np.ma.sum(weighted_col) / g_x + + # convert the extraction to a Spectrum1D object + pixels = np.arange(image.shape[disp_axis]) * u.pix + spec_1d = Spectrum1D(spectral_axis= pixels, + flux=extract * getattr(image, 'unit', u.DN)) + + return spec_1d + + def _coadd_kernel_columns(self, image, width, column, disp_axis): + # x plot dir / lambda spec dir + border_left = max(0, column - width // 2) + border_right = min(column + width // 2, image.shape[-1]) + coadd_region = np.arange(border_left, border_right) + + signal = image[:, coadd_region].sum(axis=1) / width + #return border_left, border_right, signal + return signal + + +@dataclass +class OptimalExtract(HorneExtract): + """ + Perform a Horne extraction (a.k.a. optimal) on a region in a + two-dimensional spectrum. + """ + pass From ac26e9b50aa1b2ae971a598f76aad350deaeb377 Mon Sep 17 00:00:00 2001 From: ojustino Date: Fri, 25 Feb 2022 22:14:28 -0500 Subject: [PATCH 03/12] Corrected Horne algorithm, updated arguments --- specreduce/extract.py | 95 ++++++++++++++++++------------------------- 1 file changed, 39 insertions(+), 56 deletions(-) diff --git a/specreduce/extract.py b/specreduce/extract.py index 07aac330..e9b8e8d0 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -154,8 +154,9 @@ class HorneExtract(SpecreduceOperation): two-dimensional spectrum. """ - def __call__(self, image, weights, trace_object, width, column, - disp_axis=1, crossdisp_axis=0): + def __call__(self, image, variance, trace_object, + disp_axis=1, crossdisp_axis=0, + bkgrd_prof=models.Polynomial1D(2)): """ Run the Horne calculation on a region of an image and extract a 1D spectrum. @@ -163,75 +164,62 @@ def __call__(self, image, weights, trace_object, width, column, Parameters ---------- - image : `~astropy.nddata.CCDData` or array???, required + image : `~astropy.nddata.CCDData` or array-like, required The input 2D spectrum from which to extract a source. - weights : `~astropy.nddata.CCDData` or array???, required - The associated weights for each pixel of the image. Should - have the same dimensions. + variance : `~astropy.nddata.CCDData` or array-like, required + The associated variances for each pixel in the image. + Should have the same dimensions as `image`. trace_object : `~specreduce.tracing.Trace`, required The associated 1D trace object created for the 2D image. - width : int, required - The width of the kernel defining the extraction slice. - Measured in the dispersion direction. - - column : int, required - The initial column of the extraction slice. The slice will - cover columns `column` to `column + width`. - disp_axis : int, optional The index of the image's dispersion axis. [default: 1] crossdisp_axis : int, optional The index of the image's cross-dispersion axis. [default: 0] + bkgrd_prof : `~astropy.modeling.Model` + A model for the image's background flux. + [default: models.Polynomial1D(2)] + Returns ------- spec_1d : `~specutils.Spectrum1D` The final, Horne extracted 1D spectrum. """ - # isolate user-selected slice of image - kernel_slice = self._coadd_kernel_columns(image, width, - column, disp_axis) - xd_pixels = np.arange(kernel_slice.shape[0]) # y plot dir / x spec dir + # co-add signal in each column + ncols = image.shape[crossdisp_axis] + xd_pixels = np.arange(ncols) # y plot dir / x spec dir + coadd = image.sum(axis=disp_axis) / ncols # fit source profile, using Gaussian model as a template # NOTE: could add argument for users to provide their own model - gauss_prof = models.Gaussian1D(amplitude=kernel_slice.max(), - mean=kernel_slice.argmax(), - stddev=2) - - # fit sky background, using polynomial model as a template - # NOTE: will this be deleted and go into a class of its own??? - bkgrd_prof = models.Polynomial1D(2) + gauss_prof = models.Gaussian1D(amplitude=coadd.max(), + mean=coadd.argmax(), stddev=2) - # Fit extraction kernel to slice using Levenberg-Marquardt template + # Fit extraction kernel to column with combined gaussian/bkgrd model ext_prof = gauss_prof + bkgrd_prof fitter = fitting.LevMarLSQFitter() - fit_ext_kernel = fitter(ext_prof, xd_pixels, kernel_slice) - - # create variance image - # NOTE: this equation is specific to VLT; could be another argument? - good_pix = ((image > 0) * np.isfinite(image) * (weights != 0)) - weights_masked = np.ma.array(weights, mask=~good_pix) + fit_ext_kernel = fitter(ext_prof, xd_pixels, coadd) - variance_image = np.ma.divide(1, weights_masked) # VLT - - # generate 1D spectrum - extract = np.zeros(image.shape[-1]) # FILL IN A LIST?? RENAME?? - for col_px in range(image.shape[-1]): - # set up this column's fit, using trace as mean - kernel_col = fit_ext_kernel.copy() - kernel_col.mean_0 = trace_object.trace[col_px] + # generate 1D spectrum, column by column + extracted = [] + for col_pix in range(image.shape[disp_axis]): + # set gaussian model's mean as column's corresponding trace value + fit_ext_kernel.mean_0 = trace_object.trace[col_pix] # kernel_col.stddev_0 = self.fwhm_fit(x) # NOTE: support for variable FWHMs forthcoming - kernel_vals = kernel_col(xd_pixels) + + # fit compound model to column + kernel_vals = fit_ext_kernel(xd_pixels) + # NOTE: support user-provided kernels? would require different handling + # NOTE: allow smoothing in x direction via boxcar/x axis collapse/etc? # fetch matching columns from original and variance images - image_col = image[:, col_px] - variance_col = variance_image[:, col_px] + image_col = image[:, col_pix] + variance_col = variance[:, col_pix] # calculate kernel normalization g_x = np.ma.sum(kernel_vals**2 / variance_col) @@ -240,25 +228,20 @@ def __call__(self, image, weights, trace_object, width, column, # sum by column weights weighted_col = np.ma.divide(image_col * kernel_vals, variance_col) - extract[col_px] = np.ma.sum(weighted_col) / g_x + result = np.ma.sum(weighted_col) / g_x + + # multiply kernel normalization into the extracted signal + result *= (fit_ext_kernel.amplitude_0 + * fit_ext_kernel.stddev_0 * np.sqrt(2*np.pi)) + extracted.append(result) # convert the extraction to a Spectrum1D object pixels = np.arange(image.shape[disp_axis]) * u.pix - spec_1d = Spectrum1D(spectral_axis= pixels, - flux=extract * getattr(image, 'unit', u.DN)) + spec_1d = Spectrum1D(spectral_axis=pixels, + flux=extracted * getattr(image, 'unit', u.DN)) return spec_1d - def _coadd_kernel_columns(self, image, width, column, disp_axis): - # x plot dir / lambda spec dir - border_left = max(0, column - width // 2) - border_right = min(column + width // 2, image.shape[-1]) - coadd_region = np.arange(border_left, border_right) - - signal = image[:, coadd_region].sum(axis=1) / width - #return border_left, border_right, signal - return signal - @dataclass class OptimalExtract(HorneExtract): From 7f9ffcc3a4bba4fb210a417411ea6ae2c776885d Mon Sep 17 00:00:00 2001 From: ojustino Date: Fri, 25 Feb 2022 22:15:49 -0500 Subject: [PATCH 04/12] Added notebook comparing boxcar/Horne on fake data --- notebook_sandbox/compare_extractions.ipynb | 254 +++++++++++++++++++++ 1 file changed, 254 insertions(+) create mode 100644 notebook_sandbox/compare_extractions.ipynb diff --git a/notebook_sandbox/compare_extractions.ipynb b/notebook_sandbox/compare_extractions.ipynb new file mode 100644 index 00000000..851fa173 --- /dev/null +++ b/notebook_sandbox/compare_extractions.ipynb @@ -0,0 +1,254 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d1f2d88b-b715-487d-8e96-0e644ed3e7d2", + "metadata": {}, + "source": [ + "# Extraction algorithm comparison\n", + "\n", + "We create a synthetic 2D image, upon which we compare the results of `specreduce`'s `BoxcarExtract` and `HorneExtract` algorithms.\n", + "\n", + "Since we control amplitude/uncertainty/etc., we can check that the results match our expectations. Among other things, we expect the Horne extraction's signal-to-noise ratio to outperform the boxcar's when using the whole scene as the aperture." + ] + }, + { + "cell_type": "markdown", + "id": "d1b17df2-81fe-49e7-9083-d5ce3f278937", + "metadata": {}, + "source": [ + "## Import packages" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fc741345-720e-4189-9748-b3bb98d2d693", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib as mpl\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from astropy.modeling import models\n", + "from specreduce.extract import BoxcarExtract, HorneExtract\n", + "from specreduce.tracing import FlatTrace" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "000a0fc1-90e8-4472-bc8e-42a1c1b67506", + "metadata": {}, + "outputs": [], + "source": [ + "mpl.rcParams.update({'axes.titlesize': 18, 'axes.labelsize': 12,\n", + " 'legend.fontsize': 12, 'axes.grid': False,\n", + " 'grid.alpha': .5, 'grid.color': 'k',\n", + " 'axes.edgecolor': 'k'})\n", + "np.random.seed(7) # use same random values in different sessions" + ] + }, + { + "cell_type": "markdown", + "id": "13866c09-5b84-4fa9-be19-04e6aafa8ac1", + "metadata": {}, + "source": [ + "## Create a 2D image\n", + "\n", + "The flux in each column will follow a Gaussian distribution that we set using `astropy`'s modeling functionality.\n", + "\n", + "We also add normally distributed noise throughout the image to make the extraction more difficult. In addition to the image, we also create a variance image for `HorneExtract`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0471b5d-907c-4c23-8b24-9ac2e7a619a6", + "metadata": {}, + "outputs": [], + "source": [ + "nrows = 50*4\n", + "ncols = 40*4\n", + "sigma_pix = 4\n", + "sigma_noise = 1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ff677978-744f-4264-a1d5-c51a32727d64", + "metadata": {}, + "outputs": [], + "source": [ + "col_model = models.Gaussian1D(amplitude=1, mean=nrows/2, stddev=sigma_pix)\n", + "noise = np.random.normal(scale=sigma_noise, size=(nrows, ncols))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9f96eb2e-b6ac-4396-88ec-f2011e335107", + "metadata": {}, + "outputs": [], + "source": [ + "index_arr = np.tile(np.arange(nrows), (ncols, 1))\n", + "index_arr.T" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7c5fb4b1-9c7d-4846-9963-b476070662ac", + "metadata": {}, + "outputs": [], + "source": [ + "img = col_model(index_arr.T) + noise\n", + "variance = np.tile(sigma_noise, img.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05c8c9be-e553-4ab1-8f01-1edd84d3ca25", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(10,8))\n", + "im1 = ax.imshow(img, cmap='magma', origin='lower', vmin=0, vmax=1)\n", + "ax.set_title('synthetic 2D image')\n", + "fig.colorbar(im1)" + ] + }, + { + "cell_type": "markdown", + "id": "fe8bfe43-54d8-44e0-b60e-c0ee835e4621", + "metadata": {}, + "source": [ + "## Create a trace\n", + "\n", + "Here, we manually set the trace to the middle row of the 2D image's y-axis." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb3e2f73-e863-4fed-b919-4a1991344c9e", + "metadata": {}, + "outputs": [], + "source": [ + "trace = FlatTrace(img, nrows/2)" + ] + }, + { + "cell_type": "markdown", + "id": "9341c3a4-6ca4-4460-9aa1-37f8332f4193", + "metadata": {}, + "source": [ + "## Calculate the extractions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "be1c3f96-efd4-4108-803f-7f1698fe2564", + "metadata": {}, + "outputs": [], + "source": [ + "hrn = HorneExtract()\n", + "hrn_result1d_whole = hrn(img, variance, trace) # whole image is aperture" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da893733-f68a-4573-887c-f6a72cb676a3", + "metadata": {}, + "outputs": [], + "source": [ + "bxc = BoxcarExtract()\n", + "bxc_result1d_slice = bxc(img, trace, 14)\n", + "bxc_result1d_whole = bxc(img, trace, nrows)" + ] + }, + { + "cell_type": "markdown", + "id": "9a9de2c3-f318-4d9e-bbd0-21f883da4650", + "metadata": {}, + "source": [ + "## Compare results\n", + "The whole-image extractions come out as expected, with the Horne-extracted 1D spectrum showing a noticeably better signal-to-noise ratio than its boxcar equivalent." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4fd7c15f-c8a0-40e2-af68-173eaaad0a61", + "metadata": {}, + "outputs": [], + "source": [ + "fig2, ax2 = plt.subplots(figsize=(10, 8))\n", + "\n", + "ax2.plot(hrn_result1d_whole.flux, c='#1d1160', label='1D spectrum, Horne, whole')\n", + "ax2.plot(bxc_result1d_whole.flux, c='cadetblue',\n", + " label='1D spectrum, boxcar, whole', alpha=.5)\n", + "ax2.plot(bxc_result1d_slice.flux, c='cadetblue', linestyle='--',\n", + " label='1D spectrum, boxcar, slice')\n", + "ax2.axhline(sigma_pix * np.sqrt(2*np.pi), c='#d4bd8a', linestyle='--',\n", + " label=r'target ($\\sigma_{spatial}$ * $\\sqrt{2\\pi}$)')\n", + "\n", + "ax2.legend(fontsize=12)#, loc=(1.05,.5))\n", + "ax2.set_title('extracted 1D spectra')" + ] + }, + { + "cell_type": "markdown", + "id": "44ef28f4-959f-491a-8e0c-d5477f66d7be", + "metadata": {}, + "source": [ + "The boxcar extraction can produce a similar result when its aperture is sliced to remove edge pixels. (Of course, that comes with the cost of losing any information those pixels contained.)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb606fad-34fc-4adf-b52b-06035f4d1f23", + "metadata": {}, + "outputs": [], + "source": [ + "fig3, ax3 = plt.subplots(figsize=(10, 4))\n", + "\n", + "ax3.plot(hrn_result1d_whole.flux / np.nanmax(hrn_result1d_whole.flux),\n", + " c='#1d1160', label='1D spectrum, Horne, whole')\n", + "# ax3.plot(bxc_result1d_whole.flux / np.nanmax(bxc_result1d_whole.flux),\n", + "# c='cadetblue', label='1D spectrum, boxcar, whole')\n", + "ax3.plot(bxc_result1d_slice.flux / np.nanmax(bxc_result1d_slice.flux),\n", + " c='cadetblue', label='1D spectrum, boxcar, slice', linestyle='--')\n", + "\n", + "ax3.legend(fontsize=12)\n", + "ax3.set_title('extracted 1D spectra, normalized')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "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": "3.8.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 4c1d2399f24f084828343622384b76d9d3706a3d Mon Sep 17 00:00:00 2001 From: ojustino Date: Sat, 26 Feb 2022 11:33:27 -0500 Subject: [PATCH 05/12] Updated HorneExtract explainer notebook --- .../horne_extract/optimal_extract_VLT.ipynb | 462 ++++++++++-------- 1 file changed, 257 insertions(+), 205 deletions(-) diff --git a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb index 6587978e..8fecd636 100644 --- a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb +++ b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb @@ -15,7 +15,7 @@ "source": [ "This is not currently an option in `specreduce`, so I adapted a preliminary workflow from a JDAT Notebook and the original paper introducing the method.\n", "\n", - "I left notes *[in brackets]* on how I understand these steps in comparison to what should occur in the extraction step of the block-style workflow we envision for `specreduce`." + "I left notes *[in brackets]* on how each step is handled in the proposed `HorneExtract`/`OptimalExtract` classes to make it easier to see what the class does and what these user must do themselves." ] }, { @@ -23,22 +23,24 @@ "id": "111995f6-da4a-4c42-97c0-8af099f34cf4", "metadata": {}, "source": [ - "### Steps in [Spectral Extraction-static.ipynb](https://spacetelescope.github.io/jdat_notebooks/notebooks/optimal_extraction/Spectral%20Extraction-static.html):\n", + "### Steps in the [JDAT Notebook guide](https://spacetelescope.github.io/jdat_notebooks/notebooks/optimal_extraction/Spectral%20Extraction-static.html) on optimal extraction:\n", "\n", - "1. Define extraction region *[user should provide an appropriate image]*\n", - "2. Pick a slice *[user should have done this]*\n", - "3. Define extraction kernel *[user does most of this through class arguments]*\n", - " - Select PSF template\n", - " - Choose a polynomial for background fitting\n", - "4. Fit extraction kernel to initial slice\n", - "5. Fit geometric distortion\n", - " - Determine cross-dispersion bins for trace fitting\n", - " - Fit a kernel to each bin to find trace center *[we already have this from the trace object]*\n", + "_(See that notebook rendered as a webpage [here](https://spacetelescope.github.io/jdat_notebooks/notebooks/optimal_extraction/Spectral%20Extraction-static.html).)_\n", + "\n", + "1. Define extraction region [__user's responsibility__ to provide an appropriate image]\n", + "2. Pick a slice [**should not be necessary?** can use the whole image as the aperture with good results]\n", + "3. Define extraction kernel\n", + " - Select PSF template [**assumed to be Gaussian** for now. support for Moffat, others?]\n", + " - Choose a polynomial for background fitting [**user provides** as an argument]\n", + "4. Fit extraction kernel to initial slice [**all columns are coadded** to perform the fit]\n", + "5. Fit geometric distortion [not currently done]\n", + " - Determine cross-dispersion bins for trace fitting \n", + " - Fit a kernel to each bin to find trace center [**user provides** this as a `specreduce.tracing.Trace` object]\n", " - Polynomial fit of trace centers\n", "6. Combine composite model with 2D image to create output 1D spectrum\n", - " - Create variance image\n", + " - Create variance image [**user provides** this as an argument]\n", " - Generate 1D spectrum\n", - "7. Compare with 1D spectrum" + "7. Compare with reference 1D spectrum" ] }, { @@ -46,18 +48,18 @@ "id": "a4acfa79-3a9d-4716-994e-3031aa85503c", "metadata": {}, "source": [ - "### Steps in [Horne (1986)](https://ui.adsabs.harvard.edu/abs/1986PASP...98..609H%2F/abstract)\n", + "### Steps in the original [Horne (1986)](https://ui.adsabs.harvard.edu/abs/1986PASP...98..609H%2F/abstract) paper:\n", "\n", - "1. Bias subtraction *[done in block of specreduce]*\n", - "2. Initial variance estimate\n", - "3. Fit sky background\n", - " - \"We therefore generally perform a least-squares polynomial fit to the sky data at each wavelength. Individual sky pixels are given weights inversely proportional to their variances as estimated in Step 2\" *[overlaps with notebook's 3b]*\n", + "1. Bias subtraction [assumed to be done in earlier block]\n", + "2. Initial variance estimate [**user provides** this as an argument]\n", + "3. Fit sky background [assumed to be done in earlier block]\n", + " - \"We therefore generally perform a least-squares polynomial fit to the sky data at each wavelength. Individual sky pixels are given weights inversely proportional to their variances as estimated in Step 2\" *[overlaps with notebook guide's 3b]*\n", "4. Extract standard spectrum and its variance\n", - " - Subtract the sky background found in Step 3 from the image.\n", + " - Subtract the sky background found in Step 3 from the image. [sky background calculation is planned as a separate, earlier step of the `specreduce` workflow]\n", "5. Construct spatial profile\n", - "6. Revise variance estimates\n", - "7. Mask cosmic ray hits\n", - "8. Extract optimal spectrum and its variance\n", + "6. Revise variance estimates [not currently done]\n", + "7. Mask cosmic ray hits [not currently done]\n", + "8. Extract optimal spectrum and its variance [currently **only extract the spectum**, not a variance]\n", "9. Iterate Steps 5-8\n", "\n", "I understand the first four steps as the standard procedure and the last five as add-ons that help squeeze out extra signal-to-noise." @@ -92,9 +94,7 @@ "id": "07e759d9-e3df-4ed3-915f-4632cd063986", "metadata": {}, "source": [ - "### Imports\n", - "\n", - "Clone the [kosmos repository](https://github.com/jradavenport/kosmos) and set its path as the `kosmos_path` variable near the end of this cell." + "### Imports" ] }, { @@ -111,15 +111,11 @@ "from astropy.io import fits\n", "from astropy.modeling import models, fitting\n", "from astropy.visualization import simple_norm\n", + "from astropy import units as u\n", "from matplotlib.patches import Rectangle\n", "from pathlib import Path\n", "from specreduce import SpecreduceOperation\n", - "\n", - "# enable import for kosmos objects. needed since it's not yet a proper package\n", - "# (it may pay to copy relevant kosmos code to specreduce?)\n", - "kosmos_path = '...'\n", - "sys.path.append(kosmos_path)\n", - "import kosmos" + "from specreduce.tracing import FlatTrace" ] }, { @@ -141,7 +137,7 @@ "metadata": {}, "source": [ "### Get spectral files\n", - "Download them from this [Box folder](https://stsci.app.box.com/s/io2gk1r7di0ryhtnxuh4mevvyaj5oqmn) and replace the `...` in the following cell with their location on your machine." + "Download the files with names containing `126153` and `127036` from this [Box folder](https://stsci.app.box.com/s/io2gk1r7di0ryhtnxuh4mevvyaj5oqmn). Then, replace the `...` in the following cell with their location on your machine." ] }, { @@ -303,6 +299,7 @@ "yy2 = np.flatnonzero(vlt_img1[:,xx1])[-1]\n", "\n", "extraction_region = vlt_img1[yy1:yy2, xx1:xx2]\n", + "weight_region = vlt_weight1[yy1:yy2, xx1:xx2]\n", "print((xx1, xx2), (yy1, yy2))" ] }, @@ -340,65 +337,105 @@ }, { "cell_type": "markdown", - "id": "7e136416-f759-4bb9-a186-326863caefff", + "id": "fa49ab01-c47e-40e8-80ec-29a6877a22c0", "metadata": {}, "source": [ - "### Calculate a trace of the selected region\n", + "### Create variance image\n", "\n", - "Generate a example trace object using code from the [kosmos](https://github.com/jradavenport/kosmos) repository. (Ideally, future users will create the output from this step by running through the previous step of the `specreduce` pipeline.)" + "Users must provide their own masked variance image since the equation to calculate one can vary from instrument to instrument. This VLT image's weights can be converted into variances through the equation $V \\sim \\frac{1}{W}$." ] }, { "cell_type": "code", "execution_count": 11, - "id": "55f2de30-ecde-4ca8-9a77-8fc1378e0665", + "id": "6d4bbf90-cfe2-4e06-900c-ce40c8a57353", + "metadata": {}, + "outputs": [], + "source": [ + "# highlight pixels with positive, finite flux and non-zero weight\n", + "good_pix = ((extraction_region > 0) * np.isfinite(extraction_region)\n", + " * (weight_region != 0))\n", + "weights_masked = np.ma.array(weight_region, mask=~good_pix)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "9fbc4c7d-6e2d-42be-9e31-814fdbefda5c", "metadata": {}, "outputs": [], "source": [ - "vlt_ext_trace1 = kosmos.trace(extraction_region)" + "# create variance image using masked weights\n", + "vlt_var1 = np.ma.divide(1, weights_masked)" ] }, { "cell_type": "markdown", - "id": "3ee1e581-b90b-4a45-bfa9-58506d03cbb8", + "id": "6b7c8245-479b-43b7-ac69-2c9e402eefc4", "metadata": {}, "source": [ - "### Choose kernel slice parameters\n", + "### Calculate a trace of the selected region\n", "\n", - "Vary the width and start column of the extraction kernel to see where it lands on the updated version of `fig2`." + "Generate an example trace object using `specreduce`'s `FlatTrace` class, which places the trace at a constant location in the cross-dispersion direction throughout the image." ] }, { "cell_type": "code", - "execution_count": 12, - "id": "b68bff28-237f-427e-9e44-df75ec2ccbd2", + "execution_count": 13, + "id": "a59d68e8-26f1-409a-8499-202b4e5b0254", "metadata": {}, "outputs": [], "source": [ - "# select a kernel slice\n", - "slice_width = 500\n", - "column0 = 2000" + "vlt_trace1 = FlatTrace(extraction_region, 16.5)" + ] + }, + { + "cell_type": "markdown", + "id": "4302bea4-c881-4f11-85d5-555faf0d53c7", + "metadata": {}, + "source": [ + "Alternatively, code from the [kosmos](https://github.com/jradavenport/kosmos) repository allows for calculation of a trace from the image itself. (In the future, we'd like to calculate traces in `specreduce`, too.) To go this route, select the cell below and press \"Y\" to turn it into a code cell. Then, enter `kosmos`' location on your computer as `kosmos_path`." + ] + }, + { + "cell_type": "raw", + "id": "1e536eff-b2d2-46a9-ab1e-b81b2ed6c19f", + "metadata": {}, + "source": [ + "kosmos_path = '...'\n", + "sys.path.append(kosmos_path)\n", + "import kosmos\n", + "\n", + "vlt_trace1 = kosmos.trace(extraction_region)" + ] + }, + { + "cell_type": "markdown", + "id": "84bbfa12-4647-4fbd-af4d-d29940978323", + "metadata": {}, + "source": [ + "Superimpose your trace onto the image to ensure it follows a reasonable path." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 14, "id": "48daba09-9219-4a49-932b-ea54aa1adfc5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "[]" ] }, - "execution_count": 13, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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" ] @@ -410,7 +447,6 @@ } ], "source": [ - "# begin remaking the extraction region plot\n", "fig3, ax3 = plt.subplots(figsize=(10,6))\n", "plot3 = ax3.imshow(extraction_region, aspect=aspect_ratio2,\n", " vmin=0, vmax=extraction_region.max()/2,\n", @@ -422,12 +458,7 @@ "ax3.grid()\n", "\n", "# add the trace\n", - "ax3.plot(vlt_ext_trace1, '--', color='#008ca8', lw=2.5, alpha=.7, label='trace')\n", - "\n", - "# add the kernel slice\n", - "rect = Rectangle((column0, 0), slice_width, extraction_region.shape[0],\n", - " lw=2, edgecolor='#c4d600', alpha=.6, facecolor='none', linestyle='--')\n", - "ax3.add_patch(rect)" + "ax3.plot(vlt_trace1.trace, '--', color='#008ca8', lw=2.5, alpha=.7, label='trace')" ] }, { @@ -436,122 +467,87 @@ "metadata": {}, "source": [ "## II. Extraction\n", - "Once the kernel slice parameters are settled, we have everything needed to begin the extraction. I've created a template class with a superficially similar structure as the current version of `specreduce.extract.BoxcarExtract`.\n", - "\n", - "This implementation could support some more arguments (as noted in the docstring) and be faster. It could also make better use of astropy objects like `Spectrum1D`." + "Once the variance image and trace are settled, we have everything needed to begin the extraction. I've created a template `HorneExtract` and `OptimalExtract` template classes with superficially similar structures as `specreduce.extract.BoxcarExtract`. The two classes are aliases of one another and perform the same tasks." ] }, { "cell_type": "code", - "execution_count": 14, - "id": "5520b8db-7a44-4141-910e-89bbecf43f8a", + "execution_count": 15, + "id": "bdd80673-0cfd-4d09-9bf8-ea2afd35f842", "metadata": {}, "outputs": [], "source": [ "class OptimalExtract(SpecreduceOperation):\n", " \"\"\"\n", - " Perform an optimal (Horne) extraction on a source in a two (or,\n", - " in the future, three)-dimensional spectrum, producing a 1D spectrum.\n", - " \n", - " image : numpy.ndarray, required\n", - " The input 2D/3D spectrum from which to extract a source.\n", - " \n", - " weights : numpy.ndarray, required\n", - " Should have same shape as image.\n", - " \n", - " trace : numpy.nd.array, required [specreduce.trace.Trace? in the future?]\n", - " The trace product created as output from the previous step of the\n", - " specreduce pipeline.\n", - " \n", - " width : int, required\n", - " The width (in columns) of the extraction kernel.\n", - " \n", - " column : int, required\n", - " The column at the edge of the extraction kernel.\n", - " [Do we want the center?]\n", - " \n", - " disp_axis : int, optional\n", - " The index of the image array's dispersion axis.\n", - " \n", - " Possible additions: sky_offset, sky_width, cross_disp_axis (for 3D cases)\n", + " Perform a Horne extraction (a.k.a. optimal) on a region in a\n", + " two-dimensional spectrum.\n", " \"\"\"\n", - " \n", - " def __init__(self, image, weights, trace,\n", - " width, column, disp_axis=1,\n", - " # cross_disp_axis=...\n", - " ):\n", - "\n", - " if width < 1:\n", - " raise ValueError('width must be >= 1')\n", - "\n", - " self.trace = trace\n", - " self.width = width\n", - " self.column = column\n", - " self.disp_axis = disp_axis\n", - "\n", - " if disp_axis == 1:\n", - " self.image = image\n", - " self.weights = weights\n", - " self.cross_disp_axis = 0\n", - " self.disp_axis = 1\n", - "\n", - " elif disp_axis == 0:\n", - " # transpose image so cross-dispersion axis is in y direction\n", - " print('image transposed')\n", - " self.image = image.T\n", - " self.weights = weights.T\n", - " self.cross_disp_axis = 0\n", - " self.disp_axis = 1\n", - "\n", - " # elif self.disp_axis == 2 # for eventual 3D case\n", - " else:\n", - " raise ValueError('disp_axis must be 0 or 1')\n", - " # raise ValueError('disp_axis must be 0, 1, or 2') # (in 3D case)\n", - " \n", - " def __call__(self):\n", - " # nb2. isolate user-selected slice of image\n", - " lambda1, lambda2, kernel_slice = self._coadd_kernel_columns()\n", - " xd_pixels = np.arange(kernel_slice.shape[0]) # y plot dir / x spec dir\n", - "\n", - " # nb3a. fit source profile, using Gaussian model as a template\n", - " # NOTE: could add argument for users to provide their own model\n", - " gauss_prof = models.Gaussian1D(amplitude=kernel_slice.max(),\n", - " mean=kernel_slice.argmax(),\n", - " stddev=2)\n", - "\n", - " # nb3b. fit sky background, using polynomial model as a template\n", - " # NOTE: should we be fitting the background if there will be a sky subtraction step?\n", - " # if so, could add argument for users to provide their own model\n", - " bkgrd_prof = models.Polynomial1D(2)\n", - "\n", - " # nb4. Fit extraction kernel to slice using Levenberg-Marquardt template\n", + "\n", + " def __call__(self, image, variance, trace_object,\n", + " disp_axis=1, crossdisp_axis=0,\n", + " bkgrd_prof=models.Polynomial1D(2)):\n", + " \"\"\"\n", + " Run the Horne calculation on a region of an image and extract a\n", + " 1D spectrum.\n", + "\n", + " Parameters\n", + " ----------\n", + "\n", + " image : `~astropy.nddata.CCDData` or array-like, required\n", + " The input 2D spectrum from which to extract a source.\n", + "\n", + " variance : `~astropy.nddata.CCDData` or array-like, required\n", + " The associated variances for each pixel in the image.\n", + " Should have the same dimensions as `image`.\n", + "\n", + " trace_object : `~specreduce.tracing.Trace`, required\n", + " The associated 1D trace object created for the 2D image.\n", + "\n", + " disp_axis : int, optional\n", + " The index of the image's dispersion axis. [default: 1]\n", + "\n", + " crossdisp_axis : int, optional\n", + " The index of the image's cross-dispersion axis. [default: 0]\n", + "\n", + " bkgrd_prof : `~astropy.modeling.Model`\n", + " A model for the image's background flux.\n", + " [default: models.Polynomial1D(2)]\n", + "\n", + " Returns\n", + " -------\n", + " spec_1d : `~specutils.Spectrum1D`\n", + " The final, Horne extracted 1D spectrum.\n", + " \"\"\"\n", + " # nb3a: co-add signal in each column\n", + " ncols = image.shape[crossdisp_axis]\n", + " xd_pixels = np.arange(ncols) # y plot dir / x spec dir\n", + " coadd = image.sum(axis=disp_axis) / ncols\n", + "\n", + " # nb3a: fit source profile, using Gaussian model as a template\n", + " gauss_prof = models.Gaussian1D(amplitude=coadd.max(),\n", + " mean=coadd.argmax(), stddev=2)\n", + "\n", + " # nb4: Fit extraction kernel to column with combined gaussian/bkgrd model\n", " ext_prof = gauss_prof + bkgrd_prof\n", " fitter = fitting.LevMarLSQFitter()\n", - " fit_ext_kernel = fitter(ext_prof, xd_pixels, kernel_slice)\n", - "\n", - " # nb6a. Create variance image\n", - " good_pix = ((self.image > 0)\n", - " * np.isfinite(self.image) * (self.weights != 0))\n", - " weights_masked = np.ma.array(self.weights, mask=~good_pix)\n", - "\n", - " # make variance image\n", - " # NOTE: could either add specific argument for variance image\n", - " # OR the equation for converting the weights into variances\n", - " # variance_image = np.ma.divide(1, weights_masked * pix_scale**4) # drizzlepac\n", - " variance_image = np.ma.divide(1, weights_masked) # VLT\n", - "\n", - " # nb6b. Generate 1D spectrum\n", - " spec1d = np.zeros(self.image.shape[-1])\n", - " for col_px in range(self.image.shape[-1]):\n", - " # set up this column's fit, using trace as mean\n", - " kernel_col = fit_ext_kernel.copy()\n", - " kernel_col.mean_0 = self.trace[col_px]\n", - " # kernel_col.stddev_0 = self.fwhm_fit(x) # NOTE: support varying FWHMs?\n", - " kernel_vals = kernel_col(xd_pixels)\n", + " fit_ext_kernel = fitter(ext_prof, xd_pixels, coadd)\n", + "\n", + " # nb6: generate 1D spectrum, column by column\n", + " spec_1d = np.zeros(image.shape[disp_axis])\n", + " for col_pix in range(image.shape[disp_axis]):\n", + " # set gaussian model's mean as column's corresponding trace value\n", + " fit_ext_kernel.mean_0 = trace_object.trace[col_pix]\n", + " # kernel_col.stddev_0 = self.fwhm_fit(x)\n", + " # NOTE: support for variable FWHMs forthcoming\n", + "\n", + " # fit compound model to column\n", + " kernel_vals = fit_ext_kernel(xd_pixels)\n", + " # NOTE: support user-provided kernels? would require different handling\n", + " # NOTE: allow smoothing in x direction via boxcar/x axis collapse/etc?\n", "\n", " # fetch matching columns from original and variance images\n", - " image_col = self.image[:, col_px]\n", - " variance_col = variance_image[:, col_px]\n", + " image_col = image[:, col_pix]\n", + " variance_col = variance[:, col_pix]\n", "\n", " # calculate kernel normalization\n", " g_x = np.ma.sum(kernel_vals**2 / variance_col)\n", @@ -560,26 +556,27 @@ "\n", " # sum by column weights\n", " weighted_col = np.ma.divide(image_col * kernel_vals, variance_col)\n", - " spec1d[col_px] = np.ma.sum(weighted_col) / g_x\n", + " result = np.ma.sum(weighted_col) / g_x\n", "\n", - " return spec1d\n", + " # multiply kernel normalization into the extracted signal\n", + " result *= (fit_ext_kernel.amplitude_0\n", + " * fit_ext_kernel.stddev_0 * np.sqrt(2*np.pi))\n", + " spec_1d[col_pix] = result\n", + "\n", + " return spec_1d\n", "\n", - " def _coadd_kernel_columns(self):\n", - " # x plot dir / lambda spec dir\n", - " border_left = max(0, self.column - self.width // 2)\n", - " border_right = min(self.column + self.width // 2, self.image.shape[-1])\n", - " coadd_region = np.arange(border_left, border_right)\n", "\n", - " signal = self.image[:, coadd_region].sum(axis=1) / self.width\n", - " return border_left, border_right, signal\n", - " \n", "class HorneExtract(OptimalExtract):\n", + " \"\"\"\n", + " Perform a Horne extraction (a.k.a. optimal) on a region in a\n", + " two-dimensional spectrum.\n", + " \"\"\"\n", " pass" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 16, "id": "fc32beb9-1fef-4d3f-aca5-bfd53228fc5c", "metadata": { "scrolled": true, @@ -587,10 +584,8 @@ }, "outputs": [], "source": [ - "weight_region = vlt_weight1[yy1:yy2, xx1:xx2]\n", - "ext = OptimalExtract(extraction_region, weight_region,\n", - " vlt_ext_trace1, slice_width, column0)\n", - "result1d = ext()" + "ext = OptimalExtract()\n", + "result1d = ext(extraction_region, vlt_var1, vlt_trace1)" ] }, { @@ -599,12 +594,12 @@ "metadata": {}, "source": [ "## III. Results\n", - "Calculate wavelengths from the header and normalize the reference and extracted 1D spectra to allow for a comparison." + "Calculate wavelengths from the header and compare the extracted 1D spectrum to the reference from VLT's pipeline." ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 17, "id": "41b3ea46-b9f7-4b0f-999d-63f84e6ef623", "metadata": {}, "outputs": [], @@ -617,23 +612,23 @@ }, { "cell_type": "code", - "execution_count": 17, - "id": "cb3f9a31-eb07-4d4c-9190-7457df614512", + "execution_count": 18, + "id": "359a4b76-3cad-4c66-a5a4-4e686d5ecf0a", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 17, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -651,7 +646,7 @@ "ax4.plot(wavelengths, result1d / result1d.max(),\n", " c='#1d1160', label='extracted 1D spectrum')\n", "ax4.set_xlabel('wavelength (angstroms)')\n", - "ax4.set_title('1D VLT Spectra, normalized by max')\n", + "ax4.set_title('1D VLT Spectra')#, normalized by max')\n", "ax4.grid()\n", "ax4.legend()" ] @@ -661,24 +656,22 @@ "id": "f9cbaa03-1e96-4237-9926-ccda61a4e05c", "metadata": {}, "source": [ - "### Remove weight from uncaught bad pixels\n", + "### Remove weight from bad pixels\n", "\n", - "The three large emission \"features\" are caused by columns with intensity and weights concentrated at the edges, away from the source.\n", - "\n", - "*NOTE: Should we be worried that these pixels weren't caught in the extraction process?*" + "A couple of large emission \"features\" are caused by columns with intensity and weights concentrated at the edges, away from the source. Discarding these columns by assigning them zero weight gives a better match to the reference 1D spectrum." ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "id": "d342570d-da26-4579-b746-7b7d99953366", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -688,7 +681,7 @@ } ], "source": [ - "bad_pixels = np.argsort(result1d)[-3:]\n", + "bad_pixels = np.argsort(result1d)[-2:]\n", "buffer = 5\n", "\n", "fig5, axs5 = plt.subplots(2, len(bad_pixels), figsize=(10, 10))\n", @@ -727,48 +720,107 @@ }, { "cell_type": "markdown", - "id": "50c9e918-23e7-45c3-9ab2-f46eee0a6d6f", + "id": "14a2aa96-4dfd-4e95-b57f-c45c74c943f3", "metadata": {}, "source": [ - "Throwing out these columns entirely (by assigning them zero weight) gives a better match to the reference 1D spectrum." + "We calculate the extraction with `HorneExtract` this time to show that it also works." ] }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "id": "ea555b2c-81e8-456d-9ce0-50d42eddbd8d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/ls/7lh0_8jn0ndbm6g7plbzw8n400028t/T/ipykernel_20428/626082172.py:74: RuntimeWarning: divide by zero encountered in true_divide\n", + " g_x = np.ma.sum(kernel_vals**2 / variance_col)\n", + "/var/folders/ls/7lh0_8jn0ndbm6g7plbzw8n400028t/T/ipykernel_20428/626082172.py:85: UserWarning: Warning: converting a masked element to nan.\n", + " spec_1d[col_pix] = result\n" + ] + } + ], "source": [ "# assign zero weight to \"bad\" pixels\n", "wei0 = weight_region.copy()\n", "wei0[:, bad_pixels] = 0\n", "\n", "# re-try extraction with new weights\n", - "ext0 = HorneExtract(extraction_region, wei0,\n", - " vlt_ext_trace1, slice_width, column0)\n", - "r1d = ext0()" + "ext0 = HorneExtract()\n", + "r1d = ext0(extraction_region, wei0, vlt_trace1)" + ] + }, + { + "cell_type": "markdown", + "id": "c9ae5848-83ea-4f71-8e87-1b76fa7b04e2", + "metadata": {}, + "source": [ + "Compare the 1D spectra, both in raw form and normalized by their maximum values." ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, + "id": "b62bc75e-4e80-48df-8f29-fbd0c4bf0b57", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig6, ax6 = plt.subplots(figsize=(10, 6))\n", + "ax6.plot(wavelengths, vlt_ref1[xx1:xx2], #alpha=.5,\n", + " c='#d4bd8a', label='reference 1D spectrum')\n", + "ax6.plot(wavelengths, r1d, alpha=.5,\n", + " c='#1d1160', label='extracted 1D spectrum')\n", + "ax6.set_xlabel('wavelength (angstroms)')\n", + "ax6.set_title('1D VLT Spectra')\n", + "ax6.grid()\n", + "ax6.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "id": "69dc377c-9c09-4dc9-a2b2-07ddbe28f632", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 20, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -783,7 +835,7 @@ "fig6, ax6 = plt.subplots(figsize=(10, 6))\n", "ax6.plot(wavelengths, vlt_ref1[xx1:xx2] / vlt_ref1[xx1:xx2].max(), #alpha=.5,\n", " c='#d4bd8a', label='reference 1D spectrum')\n", - "ax6.plot(wavelengths, r1d / r1d.max(), alpha=.5,\n", + "ax6.plot(wavelengths, r1d / np.nanmax(r1d), alpha=.5,\n", " c='#1d1160', label='extracted 1D spectrum')\n", "ax6.set_xlabel('wavelength (angstroms)')\n", "ax6.set_title('1D VLT Spectra, normalized by max')\n", @@ -804,7 +856,7 @@ "\n", "**Author:** O. Justin Otor, Indigo/JDAT\n", "
\n", - "**Updated On:** 2022-01" + "**Updated:** 2022-02" ] }, { @@ -819,9 +871,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python [conda env:specred1]", + "display_name": "Python 3", "language": "python", - "name": "conda-env-specred1-py" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -833,7 +885,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.12" + "version": "3.8.10" } }, "nbformat": 4, From 8d30458a27f20faba83302c797975f96140d8321 Mon Sep 17 00:00:00 2001 From: ojustino Date: Wed, 9 Mar 2022 15:58:11 -0500 Subject: [PATCH 06/12] Updated HorneExtract/OptimalExtract after reviews HorneExtract can take an image as a CCDData object or a numpy array. The variance now argument only applies in the latter case, along with the new mask and unit arguments. HorneExtract now takes better advantage of numpy broadcasting. OptimalExtract now recycles HorneExtract's docstring. --- specreduce/extract.py | 134 +++++++++++++++++++++++++++++------------- 1 file changed, 92 insertions(+), 42 deletions(-) diff --git a/specreduce/extract.py b/specreduce/extract.py index e9b8e8d0..eacc5dac 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -6,7 +6,7 @@ from astropy import units as u from astropy.modeling import models, fitting -from astropy.nddata import StdDevUncertainty +from astropy.nddata import CCDData from specreduce.core import SpecreduceOperation from specreduce.tracing import FlatTrace @@ -150,13 +150,14 @@ def _ap_weight_image(trace, width, disp_axis, crossdisp_axis, image_shape): @dataclass class HorneExtract(SpecreduceOperation): """ - Perform a Horne extraction (a.k.a. optimal) on a region in a - two-dimensional spectrum. + Perform a Horne (a.k.a. optimal) extraction on a two-dimensional + spectrum. """ - def __call__(self, image, variance, trace_object, + def __call__(self, image, trace_object, disp_axis=1, crossdisp_axis=0, - bkgrd_prof=models.Polynomial1D(2)): + bkgrd_prof=models.Polynomial1D(2), + variance=None, mask=None, unit=None): """ Run the Horne calculation on a region of an image and extract a 1D spectrum. @@ -165,11 +166,9 @@ def __call__(self, image, variance, trace_object, ---------- image : `~astropy.nddata.CCDData` or array-like, required - The input 2D spectrum from which to extract a source. - - variance : `~astropy.nddata.CCDData` or array-like, required - The associated variances for each pixel in the image. - Should have the same dimensions as `image`. + The input 2D spectrum from which to extract a source. A + CCDData object must specify uncertainty and a mask. An array + requires use of the `variance`, `mask`, & `unit` arguments. trace_object : `~specreduce.tracing.Trace`, required The associated 1D trace object created for the 2D image. @@ -180,19 +179,71 @@ def __call__(self, image, variance, trace_object, crossdisp_axis : int, optional The index of the image's cross-dispersion axis. [default: 0] - bkgrd_prof : `~astropy.modeling.Model` + bkgrd_prof : `~astropy.modeling.Model`, optional A model for the image's background flux. [default: models.Polynomial1D(2)] + variance : `~numpy.ndarray`, optional + (Only use if `image` is not a CCDData object.) + The associated variances for each pixel in the image. Must + have the same dimensions as `image`. [default: None] + + mask : `~numpy.ndarray`, optional + (Only use if `image` is not a CCDData object.) + Whether to mask each pixel in the image. Must have the same + dimensions as `image`. [default: None] + + unit : `~astropy.units.core.Unit` or str, optional + (Only use if `image` is not a CCDData object.) + The associated unit for the data in `image`. [default: None] + + Returns ------- spec_1d : `~specutils.Spectrum1D` The final, Horne extracted 1D spectrum. """ - # co-add signal in each column - ncols = image.shape[crossdisp_axis] - xd_pixels = np.arange(ncols) # y plot dir / x spec dir - coadd = image.sum(axis=disp_axis) / ncols + # handle image and associated data based on image's type + if isinstance(image, CCDData): + img = np.ma.array(image.data, mask=image.mask) + unit = image.unit + + if image.uncertainty: + # prioritize CCDData's uncertainty over variance argument + if image.uncertainty.uncertainty_type == 'var': + variance = image.uncertainty.array + elif image.uncertainty.uncertainty_type == 'std': + # CCDData default uncertainties given as pure arrays to std + # and logs a warning saying so upon object creation. should + # we remind users again here? + variance = image.uncertainty.array**2 + else: + # NOTE: last type is InverseVariance. should we take it? + variance = image.uncertainty.array + else: + # ignore variance arg to focus on updating CCDData object + raise ValueError('image CCDData object lacks uncertainty') + + else: + if any(arg is None for arg in (variance, mask, unit)): + raise ValueError('if image is a numpy array, the variance, ' + 'mask, and unit arguments must be specified. ' + 'consider wrapping that information into one ' + 'object by instead passing a CCDData image.') + + if image.shape != variance.shape: + raise ValueError('image and variance shapes must match') + if image.shape != mask.shape: + raise ValueError('image and mask shapes must match') + if isinstance(unit, str): + unit = u.Unit(unit) + + img = np.ma.array(image, mask=mask) + + # co-add signal in each image column + ncols = img.shape[crossdisp_axis] + xd_pixels = np.arange(ncols) # y plot dir / x spec dir + coadd = img.sum(axis=disp_axis) / ncols # fit source profile, using Gaussian model as a template # NOTE: could add argument for users to provide their own model @@ -204,41 +255,40 @@ def __call__(self, image, variance, trace_object, fitter = fitting.LevMarLSQFitter() fit_ext_kernel = fitter(ext_prof, xd_pixels, coadd) - # generate 1D spectrum, column by column - extracted = [] - for col_pix in range(image.shape[disp_axis]): + # use compound model to fit a kernel to each image column + # NOTE: infers Gaussian1D source profile; needs generalization for others + kernel_vals = [] + norms = [] + for col_pix in range(img.shape[disp_axis]): # set gaussian model's mean as column's corresponding trace value fit_ext_kernel.mean_0 = trace_object.trace[col_pix] - # kernel_col.stddev_0 = self.fwhm_fit(x) - # NOTE: support for variable FWHMs forthcoming + # NOTE: support for variable FWHMs forthcoming and would be here # fit compound model to column - kernel_vals = fit_ext_kernel(xd_pixels) - # NOTE: support user-provided kernels? would require different handling - # NOTE: allow smoothing in x direction via boxcar/x axis collapse/etc? + fitted_col = fit_ext_kernel(xd_pixels) + + # save result and normalization + kernel_vals.append(fitted_col) + norms.append(fit_ext_kernel.amplitude_0 + * fit_ext_kernel.stddev_0 * np.sqrt(2*np.pi)) - # fetch matching columns from original and variance images - image_col = image[:, col_pix] - variance_col = variance[:, col_pix] + # transform fit-specific information + kernel_vals = np.array(kernel_vals).T + norms = np.array(norms) - # calculate kernel normalization - g_x = np.ma.sum(kernel_vals**2 / variance_col) - if np.ma.is_masked(g_x): - continue + # calculate kernel normalization, masking NaNs + g_x = np.ma.sum(kernel_vals**2 / variance, axis=crossdisp_axis) - # sum by column weights - weighted_col = np.ma.divide(image_col * kernel_vals, variance_col) - result = np.ma.sum(weighted_col) / g_x + # sum by column weights + weighted_img = np.ma.divide(img * kernel_vals, variance) + result = np.ma.sum(weighted_img, axis=crossdisp_axis) / g_x - # multiply kernel normalization into the extracted signal - result *= (fit_ext_kernel.amplitude_0 - * fit_ext_kernel.stddev_0 * np.sqrt(2*np.pi)) - extracted.append(result) + # multiply kernel normalization into the extracted signal + extraction = result * norms # convert the extraction to a Spectrum1D object - pixels = np.arange(image.shape[disp_axis]) * u.pix - spec_1d = Spectrum1D(spectral_axis=pixels, - flux=extracted * getattr(image, 'unit', u.DN)) + pixels = np.arange(img.shape[disp_axis]) * u.pix + spec_1d = Spectrum1D(spectral_axis=pixels, flux=extraction * unit) return spec_1d @@ -246,7 +296,7 @@ def __call__(self, image, variance, trace_object, @dataclass class OptimalExtract(HorneExtract): """ - Perform a Horne extraction (a.k.a. optimal) on a region in a - two-dimensional spectrum. + An alias for `HorneExtract`. """ + __doc__ += HorneExtract.__doc__ pass From ad711cb63d92c62a1437e711ab947ea0ff01d113 Mon Sep 17 00:00:00 2001 From: ojustino Date: Tue, 15 Mar 2022 13:08:34 -0400 Subject: [PATCH 07/12] Updated instructions in Horne NB requirements file --- notebook_sandbox/horne_extract/requirements.txt | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/notebook_sandbox/horne_extract/requirements.txt b/notebook_sandbox/horne_extract/requirements.txt index 1f161b51..309bd7bc 100644 --- a/notebook_sandbox/horne_extract/requirements.txt +++ b/notebook_sandbox/horne_extract/requirements.txt @@ -2,10 +2,7 @@ astropy=5.0 matplotlib==3.5.0 numpy==1.21.4 -# remember the following: +# KOSMOS-specific steps for notebook: # git clone git@github.com:jradavenport/kosmos.git OR git clone https://github.com/jradavenport/kosmos -# fix ".data" error in trace function -# use location as argument to sys.path.insert() - -# will also need to clone specreduce -# git clone git@github.com:astropy/specreduce.git OR git clone https://github.com/astropy/specreduce +# find and delete all occurrences of ".data" in kosmos/apextract.py +# use local location of root KOSMOS repository as argument to sys.path.insert() From 25bccb24a76b281e72f8dd8b3d09f7c10a918067 Mon Sep 17 00:00:00 2001 From: ojustino Date: Fri, 18 Mar 2022 14:02:06 -0400 Subject: [PATCH 08/12] Swapped CCDData requirement to more general NDData --- specreduce/extract.py | 45 +++++++++++++++++++++++++------------------ 1 file changed, 26 insertions(+), 19 deletions(-) diff --git a/specreduce/extract.py b/specreduce/extract.py index eacc5dac..e912903b 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -1,12 +1,13 @@ # Licensed under a 3-clause BSD style license - see LICENSE.rst +import warnings from dataclasses import dataclass import numpy as np from astropy import units as u from astropy.modeling import models, fitting -from astropy.nddata import CCDData +from astropy.nddata import NDData from specreduce.core import SpecreduceOperation from specreduce.tracing import FlatTrace @@ -165,9 +166,9 @@ def __call__(self, image, trace_object, Parameters ---------- - image : `~astropy.nddata.CCDData` or array-like, required - The input 2D spectrum from which to extract a source. A - CCDData object must specify uncertainty and a mask. An array + image : `~astropy.nddata.NDData` or array-like, required + The input 2D spectrum from which to extract a source. An + NDData object must specify uncertainty and a mask. An array requires use of the `variance`, `mask`, & `unit` arguments. trace_object : `~specreduce.tracing.Trace`, required @@ -184,17 +185,17 @@ def __call__(self, image, trace_object, [default: models.Polynomial1D(2)] variance : `~numpy.ndarray`, optional - (Only use if `image` is not a CCDData object.) + (Only use if `image` is not an NDData object.) The associated variances for each pixel in the image. Must have the same dimensions as `image`. [default: None] mask : `~numpy.ndarray`, optional - (Only use if `image` is not a CCDData object.) + (Only use if `image` is not an NDData object.) Whether to mask each pixel in the image. Must have the same dimensions as `image`. [default: None] unit : `~astropy.units.core.Unit` or str, optional - (Only use if `image` is not a CCDData object.) + (Only use if `image` is not an NDData object.) The associated unit for the data in `image`. [default: None] @@ -204,32 +205,38 @@ def __call__(self, image, trace_object, The final, Horne extracted 1D spectrum. """ # handle image and associated data based on image's type - if isinstance(image, CCDData): + if isinstance(image, NDData): img = np.ma.array(image.data, mask=image.mask) - unit = image.unit + unit = image.unit if image.unit is not None else u.Unit() - if image.uncertainty: - # prioritize CCDData's uncertainty over variance argument + if image.uncertainty is not None: + # prioritize NDData's uncertainty over variance argument if image.uncertainty.uncertainty_type == 'var': variance = image.uncertainty.array elif image.uncertainty.uncertainty_type == 'std': - # CCDData default uncertainties given as pure arrays to std - # and logs a warning saying so upon object creation. should - # we remind users again here? + # NOTE: CCDData defaults uncertainties given as pure arrays + # to std and logs a warning saying so upon object creation. + # should we remind users again here? + warnings.warn("image NDData object's uncertainty " + "interpreted as standard deviation. if " + "incorrect, use VarianceUncertainty when " + "assigning image object's uncertainty.") variance = image.uncertainty.array**2 else: - # NOTE: last type is InverseVariance. should we take it? - variance = image.uncertainty.array + # other options are InverseVariance and UnknownVariance + raise ValueError("image NDData object has unexpected " + "uncertainty type. instead, try " + "VarianceUncertainty or StdDevUncertainty.") else: - # ignore variance arg to focus on updating CCDData object - raise ValueError('image CCDData object lacks uncertainty') + # ignore variance arg to focus on updating NDData object + raise ValueError('image NDData object lacks uncertainty') else: if any(arg is None for arg in (variance, mask, unit)): raise ValueError('if image is a numpy array, the variance, ' 'mask, and unit arguments must be specified. ' 'consider wrapping that information into one ' - 'object by instead passing a CCDData image.') + 'object by instead passing a NDData image.') if image.shape != variance.shape: raise ValueError('image and variance shapes must match') From 9c85fcb5241748a77dab21c770c6440014c0f3d9 Mon Sep 17 00:00:00 2001 From: ojustino Date: Thu, 24 Mar 2022 20:39:47 -0400 Subject: [PATCH 09/12] Incorporated CCDData in compare_extractions.ipynb --- notebook_sandbox/compare_extractions.ipynb | 85 +++++++++++++++++-- .../horne_extract/optimal_extract_VLT.ipynb | 30 +++---- specreduce/extract.py | 2 +- 3 files changed, 92 insertions(+), 25 deletions(-) diff --git a/notebook_sandbox/compare_extractions.ipynb b/notebook_sandbox/compare_extractions.ipynb index 851fa173..b8b2c56f 100644 --- a/notebook_sandbox/compare_extractions.ipynb +++ b/notebook_sandbox/compare_extractions.ipynb @@ -22,15 +22,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "fc741345-720e-4189-9748-b3bb98d2d693", "metadata": {}, "outputs": [], "source": [ + "import astropy.units as u\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from astropy.modeling import models\n", + "from astropy.nddata import CCDData, VarianceUncertainty\n", "from specreduce.extract import BoxcarExtract, HorneExtract\n", "from specreduce.tracing import FlatTrace" ] @@ -58,7 +60,7 @@ "\n", "The flux in each column will follow a Gaussian distribution that we set using `astropy`'s modeling functionality.\n", "\n", - "We also add normally distributed noise throughout the image to make the extraction more difficult. In addition to the image, we also create a variance image for `HorneExtract`." + "We also add normally distributed noise throughout the image to make the extraction more difficult." ] }, { @@ -103,8 +105,7 @@ "metadata": {}, "outputs": [], "source": [ - "img = col_model(index_arr.T) + noise\n", - "variance = np.tile(sigma_noise, img.shape)" + "img = col_model(index_arr.T) + noise" ] }, { @@ -120,6 +121,25 @@ "fig.colorbar(im1)" ] }, + { + "cell_type": "markdown", + "id": "7161a77b-87ee-40ec-b780-64a1e0510c8b", + "metadata": {}, + "source": [ + "In addition to the image, we also create variance and mask images for `HorneExtract`. The former was defined above; we use an array of zeros for the latter since this image has no \"bad\" pixels." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "17ba40e0-8bc9-49c1-80f7-943697c43cfa", + "metadata": {}, + "outputs": [], + "source": [ + "variance = np.tile(sigma_noise, img.shape)\n", + "mask = np.zeros_like(img)" + ] + }, { "cell_type": "markdown", "id": "fe8bfe43-54d8-44e0-b60e-c0ee835e4621", @@ -148,6 +168,18 @@ "## Calculate the extractions" ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "e7103992-4462-4bd9-8805-89c21ac17ed0", + "metadata": {}, + "outputs": [], + "source": [ + "bxc = BoxcarExtract()\n", + "bxc_result1d_slice = bxc(img, trace, 14)\n", + "bxc_result1d_whole = bxc(img, trace, nrows)" + ] + }, { "cell_type": "code", "execution_count": null, @@ -156,19 +188,54 @@ "outputs": [], "source": [ "hrn = HorneExtract()\n", - "hrn_result1d_whole = hrn(img, variance, trace) # whole image is aperture" + "hrn_result1d_whole = hrn(img, trace, variance=variance,\n", + " mask=mask, unit=u.DN) # whole image is aperture" + ] + }, + { + "cell_type": "markdown", + "id": "d547548e-6ff9-4672-bd03-aa666b3affdf", + "metadata": {}, + "source": [ + "Note that `HorneExtract` can also take an `NDData` or `CCDData` image object as an argument. These are convenient because they allow for compiling the image, the variance, a mask, and any units into a single object. \n", + "\n", + "Once that's created, the only other argument needed is the trace. See this example with `CCDData`:" ] }, { "cell_type": "code", "execution_count": null, - "id": "da893733-f68a-4573-887c-f6a72cb676a3", + "id": "d4b31779-2080-4541-b0b4-6a3d08b37062", "metadata": {}, "outputs": [], "source": [ - "bxc = BoxcarExtract()\n", - "bxc_result1d_slice = bxc(img, trace, 14)\n", - "bxc_result1d_whole = bxc(img, trace, nrows)" + "mask = np.zeros_like(img)\n", + "var_obj = VarianceUncertainty(variance)\n", + "img_obj = CCDData(img, uncertainty=var_obj, mask=mask, unit=u.DN)\n", + "\n", + "hrn2 = HorneExtract()\n", + "hrn2_result1d_whole = hrn(img_obj, trace)" + ] + }, + { + "cell_type": "markdown", + "id": "53e45324-a42b-46cf-9512-04cb0be8db47", + "metadata": {}, + "source": [ + "The results are the same either way:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4cbf978f-1567-4558-8789-3e8783d29be4", + "metadata": { + "scrolled": true, + "tags": [] + }, + "outputs": [], + "source": [ + "np.array_equal(hrn_result1d_whole.flux, hrn2_result1d_whole.flux)" ] }, { diff --git a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb index 8fecd636..cbb618a1 100644 --- a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb +++ b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb @@ -13,9 +13,9 @@ "id": "fc5ad51c-fc94-4dfc-8750-3e58b6224278", "metadata": {}, "source": [ - "This is not currently an option in `specreduce`, so I adapted a preliminary workflow from a JDAT Notebook and the original paper introducing the method.\n", + "At the time this notebook was written, Horne extraction did not exist in `specreduce`. It adapts a preliminary workflow from a JDAT Notebook and the original paper introducing the method.\n", "\n", - "I left notes *[in brackets]* on how each step is handled in the proposed `HorneExtract`/`OptimalExtract` classes to make it easier to see what the class does and what these user must do themselves." + "There are notes *[in brackets]* on how each step is handled in the proposed `HorneExtract`/`OptimalExtract` classes to make it easier to see what the class does and what the user must do themselves." ] }, { @@ -394,19 +394,19 @@ "id": "4302bea4-c881-4f11-85d5-555faf0d53c7", "metadata": {}, "source": [ - "Alternatively, code from the [kosmos](https://github.com/jradavenport/kosmos) repository allows for calculation of a trace from the image itself. (In the future, we'd like to calculate traces in `specreduce`, too.) To go this route, select the cell below and press \"Y\" to turn it into a code cell. Then, enter `kosmos`' location on your computer as `kosmos_path`." + "Alternatively, code from the [kosmos](https://github.com/jradavenport/kosmos) repository allows for calculation of a trace from the image itself. (This will soon be possible in `specreduce`, too.) To go this route, select the cell below and press \"Y\" to turn it into a code cell. Then, enter `kosmos`' location on your computer as `kosmos_path`." ] }, { "cell_type": "raw", - "id": "1e536eff-b2d2-46a9-ab1e-b81b2ed6c19f", + "id": "af301fe1-5422-4235-80b1-1f4e958aac58", "metadata": {}, "source": [ "kosmos_path = '...'\n", "sys.path.append(kosmos_path)\n", - "import kosmos\n", + "from kosmos.kosmos.apextract import trace as KTrace\n", "\n", - "vlt_trace1 = kosmos.trace(extraction_region)" + "vlt_trace1 = KTrace(extraction_region)" ] }, { @@ -426,7 +426,7 @@ { "data": { "text/plain": [ - "[]" + "[]" ] }, "execution_count": 14, @@ -619,7 +619,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 18, @@ -736,9 +736,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/ls/7lh0_8jn0ndbm6g7plbzw8n400028t/T/ipykernel_20428/626082172.py:74: RuntimeWarning: divide by zero encountered in true_divide\n", + "/var/folders/ls/7lh0_8jn0ndbm6g7plbzw8n400028t/T/ipykernel_86235/626082172.py:74: RuntimeWarning: divide by zero encountered in true_divide\n", " g_x = np.ma.sum(kernel_vals**2 / variance_col)\n", - "/var/folders/ls/7lh0_8jn0ndbm6g7plbzw8n400028t/T/ipykernel_20428/626082172.py:85: UserWarning: Warning: converting a masked element to nan.\n", + "/var/folders/ls/7lh0_8jn0ndbm6g7plbzw8n400028t/T/ipykernel_86235/626082172.py:85: UserWarning: Warning: converting a masked element to nan.\n", " spec_1d[col_pix] = result\n" ] } @@ -770,7 +770,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -804,17 +804,17 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 22, "id": "69dc377c-9c09-4dc9-a2b2-07ddbe28f632", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 27, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" }, @@ -885,7 +885,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.10" + "version": "3.8.12" } }, "nbformat": 4, diff --git a/specreduce/extract.py b/specreduce/extract.py index e912903b..034bb074 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -236,7 +236,7 @@ def __call__(self, image, trace_object, raise ValueError('if image is a numpy array, the variance, ' 'mask, and unit arguments must be specified. ' 'consider wrapping that information into one ' - 'object by instead passing a NDData image.') + 'object by instead passing an NDData image.') if image.shape != variance.shape: raise ValueError('image and variance shapes must match') From ef07596ac8e200615e3be141fa45e76f7ffa181c Mon Sep 17 00:00:00 2001 From: ojustino Date: Thu, 24 Mar 2022 20:50:47 -0400 Subject: [PATCH 10/12] Made mask and units optional for array-like images --- specreduce/extract.py | 20 ++++++++++++++------ 1 file changed, 14 insertions(+), 6 deletions(-) diff --git a/specreduce/extract.py b/specreduce/extract.py index 034bb074..d4396c9a 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -185,18 +185,20 @@ def __call__(self, image, trace_object, [default: models.Polynomial1D(2)] variance : `~numpy.ndarray`, optional - (Only use if `image` is not an NDData object.) + (Only used if `image` is not an NDData object.) The associated variances for each pixel in the image. Must have the same dimensions as `image`. [default: None] mask : `~numpy.ndarray`, optional - (Only use if `image` is not an NDData object.) + (Only used if `image` is not an NDData object.) Whether to mask each pixel in the image. Must have the same - dimensions as `image`. [default: None] + dimensions as `image`. If blank, all non-NaN pixels are + unmasked. [default: None] unit : `~astropy.units.core.Unit` or str, optional - (Only use if `image` is not an NDData object.) - The associated unit for the data in `image`. [default: None] + (Only used if `image` is not an NDData object.) + The associated unit for the data in `image`. If blank, + fluxes are interpreted as unitless. [default: None] Returns @@ -237,14 +239,20 @@ def __call__(self, image, trace_object, 'mask, and unit arguments must be specified. ' 'consider wrapping that information into one ' 'object by instead passing an NDData image.') - if image.shape != variance.shape: raise ValueError('image and variance shapes must match') if image.shape != mask.shape: raise ValueError('image and mask shapes must match') + + # fill in non-required arguments if empty + if mask is None: + mask = np.ma.masked_invalid(image) if isinstance(unit, str): unit = u.Unit(unit) + else: + unit = unit if unit is not None else u.Unit() + # create image img = np.ma.array(image, mask=mask) # co-add signal in each image column From 92a37bc4a92a8a9c63eac20a76b23be6ce163f5a Mon Sep 17 00:00:00 2001 From: ojustino Date: Fri, 25 Mar 2022 11:08:21 -0400 Subject: [PATCH 11/12] Corrected a notebook import --- notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb index cbb618a1..e7e46248 100644 --- a/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb +++ b/notebook_sandbox/horne_extract/optimal_extract_VLT.ipynb @@ -404,7 +404,7 @@ "source": [ "kosmos_path = '...'\n", "sys.path.append(kosmos_path)\n", - "from kosmos.kosmos.apextract import trace as KTrace\n", + "from kosmos.apextract import trace as KTrace\n", "\n", "vlt_trace1 = KTrace(extraction_region)" ] From 39d3bff00795d48e215d90d5d049bd02d80f1d0b Mon Sep 17 00:00:00 2001 From: ojustino Date: Fri, 25 Mar 2022 16:25:31 -0400 Subject: [PATCH 12/12] Accepted InverseVariances in HorneExtract --- specreduce/extract.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/specreduce/extract.py b/specreduce/extract.py index d4396c9a..ac558a24 100644 --- a/specreduce/extract.py +++ b/specreduce/extract.py @@ -224,6 +224,8 @@ def __call__(self, image, trace_object, "incorrect, use VarianceUncertainty when " "assigning image object's uncertainty.") variance = image.uncertainty.array**2 + elif image.uncertainty.uncertainty_type == 'ivar': + variance = 1 / image.uncertainty.array else: # other options are InverseVariance and UnknownVariance raise ValueError("image NDData object has unexpected "