{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# typical python libraries\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pickle\n", "\n", "# vorbin package by M. Capellari\n", "from vorbin.voronoi_2d_binning import *\n", "\n", "# hoki sedfitting subpackage\n", "import hoki.sedfitting as hsed\n", "\n", "plt.style.use('../tuto.mplstyle')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Vornoi Binning and retrieveing SEDs of the binned data\n", "\n", "In this jupyter notebook we will work with a cropped data cube of NGC 4993 (reduced by Joe Lyman) that is centered(-ish) on the galaxy and extends to comfortably contain the galaxy and the transient AT 2017gfo (top left in the image below). \n", "\n", "In this notebook we will mostly use the voronoi binning algorithm of M. Cappellari ([see website](https://www-astro.physics.ox.ac.uk/~cappellari/software/#binning)) and a few utilities I wrote and put in `hoki.sedfitting` such as `plot_voronoi`. \n", "\n", "**Other dependency:** `mpdaf` was used to create the cropped data cube. It is a pretty commonly used IFU data utility package. For further information see [their documentation](https://mpdaf.readthedocs.io/en/latest/).\n", "\n", "## Loading the cropped data cube\n", "\n", "First let's take a look at the data cube:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "with open('data/cropped_NGC4993.pkl', 'rb') as pickle_file:\n", " cube = pickle.load(pickle_file)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "\n", "ima = cube.sum(axis=0) # to make the image we sum over the wavelength axis to get the total flux\n", "ima.plot(scale='arcsinh', colorbar='v') # this scaling with arcsinh was copied from mpdaf tutorials - it works" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "okay let's take a look at what's in this `cube` object. First checking the shape is quite informative:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(3681, 150, 150)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cube.data.shape" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "so axis 0 is the wavelength, which is why we summed over axis=0 earlier, and then each side of the image is 150 pixels. The original images from MUSE are much larger but I cropped it to make it easier to upload and download (and also to not fill the RAM when working on the data!)\n", "\n", "Now let's look at one of the headers, the `data_header`:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "XTENSION= 'IMAGE ' / Image extension \n", "BITPIX = -64 / array data type \n", "NAXIS = 3 / number of array dimensions \n", "NAXIS1 = 150 \n", "NAXIS2 = 150 \n", "NAXIS3 = 3681 \n", "PCOUNT = 0 / number of parameters \n", "GCOUNT = 1 / number of groups \n", "WCSAXES = 3 / Number of coordinate axes \n", "CRPIX1 = 53.754912632071 / Pixel coordinate of reference point \n", "CRPIX2 = 128.27776222996 / Pixel coordinate of reference point \n", "CUNIT1 = 'deg' / Units of coordinate increment and value \n", "CUNIT2 = 'deg' / Units of coordinate increment and value \n", "CTYPE1 = 'RA---TAN' / Right ascension, gnomonic projection \n", "CTYPE2 = 'DEC--TAN' / Declination, gnomonic projection \n", "CRVAL1 = 197.450333 / [deg] Coordinate value at reference point \n", "CRVAL2 = -23.38117 / [deg] Coordinate value at reference point \n", "LONPOLE = 180.0 / [deg] Native longitude of celestial pole \n", "LATPOLE = -23.38117 / [deg] Native latitude of celestial pole \n", "CSYER1 = 1.3680091695E-05 / [deg] Systematic error in coordinate \n", "CSYER2 = 7.77995869722E-06 / [deg] Systematic error in coordinate \n", "MJDREF = 0.0 / [d] MJD of fiducial time \n", "RADESYS = 'FK5' / Equatorial coordinate system \n", "EQUINOX = 2000.0 / [yr] Equinox of equatorial coordinates \n", "CD1_1 = -5.5555555555556E-05 \n", "CD1_2 = 0.0 \n", "CD2_1 = 0.0 \n", "CD2_2 = 5.5555555555556E-05 \n", "CRVAL3 = 4749.61767578125 / Coordinate value at reference point \n", "CRPIX3 = 1.0 / Pixel coordinate of reference point \n", "CUNIT3 = 'Angstrom' / Units of coordinate increment and value \n", "CTYPE3 = 'AWAV ' / Coordinate type code \n", "CD3_3 = 1.25 \n", "CD1_3 = 0.0 \n", "CD2_3 = 0.0 \n", "CD3_1 = 0.0 \n", "CD3_2 = 0.0 \n", "EXTNAME = 'DATA ' / This extension contains data values \n", "HDUCLASS= 'ESO ' / class name (ESO format) \n", "HDUDOC = 'DICD ' / document with class description \n", "HDUVERS = 'DICD version 6' / version number (according to spec v2.5.1) \n", "HDUCLAS1= 'IMAGE ' / Image data format \n", "HDUCLAS2= 'DATA ' / this extension contains the data itself \n", "ERRDATA = 'STAT ' / pointer to the variance extension \n", "OBJECT = 'SGRB (DATA)' \n", "BUNIT = '10**-20 Angstrom-1 cm-2 erg s-1' / data unit type \n", "COMMENT These data have been ZAPped! \n", "ZAPVERS = '1.1.dev workflow' / ZAP version \n", "ZAPZLVL = 'extSVD ' / ZAP zero level correction \n", "ZAPCLEAN= T / ZAP NaN cleaning performed for calculation \n", "ZAPCFTYP= 'weight ' / ZAP continuum filter type \n", "ZAPCFWID= 20 / ZAP continuum filter size \n", "ZAPNSEG = 11 / Number of segments used for ZAP SVD \n", "ZAPSEG0 = '0:520 ' / spectrum segment (pixels) \n", "ZAPNEV0 = 1 / number of eigenvals/spectra used \n", "ZAPSEG1 = '521:880 ' / spectrum segment (pixels) \n", "ZAPNEV1 = 6 / number of eigenvals/spectra used \n", "ZAPSEG2 = '881:1352' / spectrum segment (pixels) \n", "ZAPNEV2 = 16 / number of eigenvals/spectra used \n", "ZAPSEG3 = '1353:1600' / spectrum segment (pixels) \n", "ZAPNEV3 = 2 / number of eigenvals/spectra used \n", "ZAPSEG4 = '1601:1960' / spectrum segment (pixels) \n", "ZAPNEV4 = 1 / number of eigenvals/spectra used \n", "ZAPSEG5 = '1961:2360' / spectrum segment (pixels) \n", "ZAPNEV5 = 1 / number of eigenvals/spectra used \n", "ZAPSEG6 = '2361:2812' / spectrum segment (pixels) \n", "ZAPNEV6 = 11 / number of eigenvals/spectra used \n", "ZAPSEG7 = '2813:3081' / spectrum segment (pixels) \n", "ZAPNEV7 = 6 / number of eigenvals/spectra used \n", "ZAPSEG8 = '3082:3185' / spectrum segment (pixels) \n", "ZAPNEV8 = 1 / number of eigenvals/spectra used \n", "ZAPSEG9 = '3186:3620' / spectrum segment (pixels) \n", "ZAPNEV9 = 12 / number of eigenvals/spectra used \n", "ZAPSEG10= '3621:3680' / spectrum segment (pixels) \n", "ZAPNEV10= 4 / number of eigenvals/spectra used \n", "HISTORY Image was compressed by CFITSIO using scaled integer quantization: \n", "HISTORY q = 4.000000 / quantized level scaling parameter \n", "HISTORY 'SUBTRACTIVE_DITHER_1' / Pixel Quantization Algorithm \n", "CHECKSUM= 'bODodMAobMAobMAo' / HDU checksum updated 2021-07-23T23:34:48 \n", "DATASUM = '1413973769' / data unit checksum updated 2021-07-23T23:34:48 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "cube.data_header" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "`CRVAL3` is the first wavelength bin and `CD3_3` is the $\\Delta \\lambda$ = 1.25 in this case. We're going to need this in a minute. \n", "\n", "## Voronoi Binning\n", "\n", "In this particular situation Voronoi binning is creating tiles over the image in such a way that we homogenise the signal-to-noise-ratio across our bins. At the moment our bins are just pixels, and obviously the pixels on the outside of the image have much lower SNR than the ones in the middle of the galaxy. \n", "\n", "What we're going to do now is use the `vorbin` algorithm to create tiles of adjacent pixels which, when summed together give use a spectrum with SNR close to our target SNR (and you get to pick what that target is). \n", "\n", "### Book keeping - creating our wavelength array" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# The first thing we need to do is create the wavelength scale. We've only got a starting\n", "# wavelength, a Delta lambda and a number of bins in the spectrum (3861 - see above)\n", "# The code below creates the wavelength array\n", "\n", "# minimum and maximum wavelength from the header\n", "wl_min = cube.data_header['CRVAL3']\n", "wl_max = cube.data_header['CRVAL3']+cube.data_header['CD3_3']*cube. data.shape[0]\n", "\n", "# creating the wavelength array\n", "WL = np.arange(cube.data_header['CRVAL3'], wl_max, cube.data_header['CD3_3'])" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3681" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# just to check our array has indeed got the right size\n", "WL.shape[0]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Book keeping - creating the pixel coordinate, signal and noise arrays" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "# First we need to make lists of pixel Coordinates\n", "# note this will be stupid big with large data cubes \n", "# in that case find a smartter way to make these arrays\n", "\n", "# ... X is a 1D list of length 150**2 \n", "X = []\n", "for x in np.arange(0, cube.shape[2]):\n", " X+=[x]*cube.shape[2]\n", " \n", "x = np.array(X)\n", "\n", "# ... Y is a 1D list of length 150**2 \n", "Y=[]\n", "for y in np.arange(0,cube.shape[1]):\n", " Y+=list(np.arange(0,cube.shape[1])) \n", "\n", "y = np.array(Y)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Now we store the signal (spectrum) in its own array\n", "signal = ima.data.data.reshape(-1,1) # this reshape(-1,1) turns the 2D array in a 1D array. " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "# And now we store the errors in their own array\n", "noise = np.sqrt(ima.var.data.reshape(-1,1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Binning! " ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# pick a target signal to noise ratio - I picked 40 \n", "TARGET_SNR = 40" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Calculating SNR in a line-free region\n", "\n", "To compare SNR from spectrum to spectrum we need to chose an area of the spectrum that is devoid of strong lines across our whole data set and then calculate the SNR in that range. " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# range of wavelength between which we calculate the SNR\n", "wlmin_snr = 5590\n", "wlmax_snr= 5680\n", "\n", "# Finding the indices corresponding to the min and max wavelengths of our range to calc SNR\n", "i_min = (np.abs(WL-wlmin_snr)).argmin()\n", "i_max = (np.abs(WL-wlmax_snr)).argmin()+1\n", "\n", "# Calculating the SNR in that range\n", "signal = np.mean(cube.data[i_min:i_max,:,:], axis=0).reshape(-1,1) # again making it 1D with the reshape trick\n", "noise = np.sqrt(np.mean(cube.var[i_min:i_max,:,:], axis=0)).reshape(-1,1) " ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Summoning vorbin!!!\n", "binNum, xNode, yNode, xBar, yBar, sn, nPixels, scale = voronoi_2d_binning(x, y, signal, noise, \n", " TARGET_SNR, plot=1, quiet=1,\n", " pixelsize=1, \n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Comments and thoughts on the vorbin process:\n", "First of all notice that there is a scatter in SNR around the target we chose: that is to be expected, there is a finite number of adjacent pixels to chose from! \n", "\n", "Also note that in the center there are a lot of pixels that are not binned because they already exceed the SNR threshold. This is something we will discuss a little more later because the boudnary between binned and not-binned creates a little bit of structure in our SNR map (see below). \n", "\n", "Finally note that there is a little bit of randomness in the process of optimising for the binning so you might get a slightly different result everytime you run it, but not by much and not enough to mess with your science (given that you picked an SNR that is high enough for what you need to do). This is a good place to point out that the target SNR **is NOT a minimum SNR**, so if you have a minimu SNR in mind, check the plot above after you've picked a target SNR and adjust as you need to ensure the majority of your bins end up reaching that minimum SNR you desire. \n", "\n", "### Storing the results\n", "\n", "In order to store the vorbin results (temporarily; just for use later in the notebook) I've made a little class. It's v. much not necessary, feel free to amend!" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "class VorbinResults():\n", " \"\"\"\n", " Object to contain the quantities returned by vorbin_2d - they don't fit neatly into a table\n", " \"\"\"\n", " def __init__(self, X, Y, binNum, xNode, yNode, xBar, yBar, sn, nPixels, scale):\n", " self.X = X # x coordinates (size - Nbins, here 150**2)\n", " self.Y = Y # y coordinates (size - Nbins, here 150**2)\n", " self.binNum = binNum # vornoi bin number\n", " self.xNode = xNode # x coordinate of each vorbin center\n", " self.yNode = yNode # y coordinate of each vorbin center\n", " self.xBar = xBar # see voronoi_2d_binning Output Parameters\n", " self.yBar = yBar\n", " self.sn = sn # SNR\n", " self.nPixels = nPixels # number of pixels in each bin\n", " self.scale = scale # see voronoi_2d_binning Output Parameters\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "# storing the results in our little object\n", "vorbin = VorbinResults(X, Y, binNum, xNode, yNode, xBar, yBar, sn, nPixels, scale) " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Binning the spectra\n", "\n", "Now that we have voronoi bins and we know which pixel belongs in which bin, we can put our spectra together to caculate the integrated spectra of each bin. Let's do this!" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " X Y binNum\n", "0 0 0 1475\n", "1 0 1 1475\n", "2 0 2 1475\n", "3 0 3 1475\n", "4 0 4 1475" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# first I create a dataframe that tells us which bin each (x,y) location belongs to\n", "bin_keys=pd.DataFrame(np.array([vorbin.X, vorbin.Y, vorbin.binNum]).T, columns=['X','Y','binNum'])\n", "bin_keys.head()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3681" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# we'll need to know the number of wavelength bins\n", "wl_len = cube.shape[0]\n", "wl_len" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Let's bin the SEDs!" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":26: RuntimeWarning: invalid value encountered in greater\n", " spectra = np.where(spectra>0.0, spectra, 1e-15) # NO NEGATIVES\n" ] } ], "source": [ "# list of spectra. By the end of the loop there should be binNum spectra corresponding to each vorbin\n", "spectra=[] \n", "\n", "# we loop over the number of voronoi bins\n", "for i in range(bin_keys.binNum.max()+1): \n", " # Y, X coordinates of all the pixels in the ith voronoi bin (binNum)\n", " coords_i=bin_keys[bin_keys.binNum==i][['X','Y']].values\n", " # instanciate a np array of the size of the SED filled with zeros\n", " spectrum = np.zeros(wl_len)\n", " \n", " # for each pixel in this voronoi bin...\n", " for coord in coords_i: \n", " # ..add up all the fluxes \n", " spectrum+=cube.data.data[:,coord[0],coord[1]]\n", " \n", " # ... then we add this spectrum to our list of spectra\n", " spectra.append(spectrum)\n", " \n", "# turn the list into an array\n", "spectra=np.array(spectra)\n", "\n", "\n", "#### QUALITY CONTROL\n", "\n", "# want to make sure the spectra don't have negative values or nan values\n", "spectra = np.where(spectra>0.0, spectra, 1e-15) # NO NEGATIVES\n", "spectra = np.where(spectra!=np.nan, spectra, 1e-15) # NO NAN\n" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "# finally I like to stack the wavelength array and the spectra\n", "# so i=0 is the wavelength \n", "# and every row after that is a spectrum \n", "spectra=np.vstack([WL,spectra])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### repeat for the standard deviations!" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [], "source": [ "stds=[] # list of standard deviations\n", "\n", "for i in range(bin_keys.binNum.max()+1):\n", " \n", " # Y, X coordinates of all the pixels in the ith voronoi bin (binNum)\n", " coords_i=bin_keys[bin_keys.binNum==i][['X','Y']].values\n", " # instanciate a np array of the size of the spectrum filled with zeros\n", " std_i = np.zeros(wl_len)\n", " \n", " for coord in coords_i: # for each pixel in this bin...\n", " std_i+=cube.var.data[:,coord[0],coord[1]] #add the variances - same as adding the std in quadrature\n", " \n", " # then we square root the whole thing...\n", " std_i = np.sqrt(std_i) \n", " # ... before adding it to our list ...\n", " stds.append(std_i)\n", "\n", " \n", "# ... and finally we stack our noise spectra together with the wavelengths as the frist row\n", "spectra_errs= np.vstack([WL,stds])\n", "\n", "#### QUALITY CONTROL \n", "spectra_errs = np.where(spectra_errs!=np.nan, noises, 1e15)\n", "spectra_errs = np.where(spectra_errs>0.0, noises, 1e15)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "np.save('data/vorbinned_spectra.npy', spectra)\n", "np.save('data/vorbinned_specerr.npy', spectra_errs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## SNR map!\n", "\n", "To see how good a job we did in homogeneising the SNR we can plot it with a colour map. Here what we're going to do is take the minimum of the SED/NOISE array for each bin:" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "min_snrs = [] # list of the minimum SNRs \n", "\n", "for spec, std in zip(spectra, spectra_errs): \n", " snr = spec/std # calculate SNR for each bin\n", " min_snrs.append(min(snr)) # append the minimum \n", " \n", "min_snrs = np.array(min_snrs) # make it an array" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "# At this point we have to flip x and y in the array so things plot the right way around\n", "# not sure if I messed up earlier or if its a \"feature\"\n", "\n", "pd.DataFrame(np.array([y,x, sn[binNum], binNum]).T, \n", " columns=['x', 'y', 'sn', 'binNum']).to_csv('data/voronoi_bins_NEW.txt', index=False)" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'SNR')" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1,1)\n", "\n", "# note that here we have to flip the y and x axes to have the plot come out right\n", "# that is why we took that weird step above before saving the results. \n", "# in future analysis when loading that data frame x and y will be the right way around\n", "sn_color = hsed.plot_voronoi(y,x, sn[binNum], pixelsize=1, ax=ax, cmap='rainbow')\n", "fig.colorbar(sn_color)\n", "ax.set_title('SNR')" ] }, { "cell_type": "code", "execution_count": 33, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "matplotlib.image.AxesImage" ] }, "execution_count": 33, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(sn_color)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Our SNR map looks decent! obviously the center glows well above our threshold value because galaxies are bright. We notice a sort of ring of blue (lower SNR) around the bright region ad we transition to larger bins: that is because at this point the algorithm is between a rock and a hard place: the pixel itself is on the cusp of meeting the SNR threshold but combining two of them makes it crazy high compared to what we ask! That transitional phase between unbinned and binned pixels is expected and you might see it in your own images when you perform this exercise!\n", "\n", "\n", "### Next tutos:\n", "- SED fitting integrated spectrum with Kvn\n", "- SED fitting all the bins with LordCommander" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.8.10" } }, "nbformat": 4, "nbformat_minor": 4 }