{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Synth. Obs.: 3D Phantom - Reduction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We create synthetic observations for the Magritte model of the 3D Phantom snapshot that was created in the [this example](../1_post-processing/4_reduce_Phantom_3D.ipynb)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Setup" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Import the required functionalty." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import magritte.core as magritte # Core functionality\n", "import magritte.plot as plot # Plotting\n", "import magritte.tools as tools # Save fits\n", "import os\n", "\n", "from astropy import units # Unit conversions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define a working directory (you will have to change this). We assume here that the scripts of the [this example](../1_post-processing/4_reduce_Phantom_3D.ipynb) have already been executed and go back to that working directory." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "wdir = \"/lhome/thomasc/Magritte-examples/Phantom_3D/\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Define file names." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "model_file = os.path.join(wdir, 'model_Phantom_3D_red.hdf5') # reduced 3D Phantom Magritte model" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load the Magritte model." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " \n", "-------------------------------------------\n", " Reading Model... \n", "-------------------------------------------\n", " model file = /lhome/thomasc/Magritte-examples/Phantom_3D/model_Phantom_3D_red.hdf5\n", "-------------------------------------------\n", "Reading parameters...\n", "Reading points...\n", "Reading rays...\n", "Reading boundary...\n", "Reading chemistry...\n", "Reading species...\n", "Reading thermodynamics...\n", "Reading temperature...\n", "Reading turbulence...\n", "Reading lines...\n", "Reading lineProducingSpecies...\n", "Reading linedata...\n", "read num 0\n", "read sym CO\n", "nlev = 41\n", "nrad = 1\n", "Reading collisionPartner...\n", "Reading collisionPartner...\n", "Reading quadrature...\n", "Reading radiation...\n", "Reading frequencies...\n", "Not using scattering!\n", " \n", "-------------------------------------------\n", " Model read, parameters: \n", "-------------------------------------------\n", " npoints = 100159\n", " nrays = 2\n", " nboundary = 386\n", " nfreqs = 31\n", " nspecs = 3\n", " nlspecs = 1\n", " nlines = 1\n", " nquads = 31\n", "-------------------------------------------\n", " \n" ] } ], "source": [ "model = magritte.Model(model_file)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Model the medium" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Initialize the model by setting up a spectral discretisation, computing the inverse line widths and initializing the level populations with their LTE values." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Computing spectral discretisation...\n", "Computing inverse line widths...\n", "Computing LTE level populations...\n" ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model.compute_spectral_discretisation ()\n", "model.compute_inverse_line_widths ()\n", "model.compute_LTE_level_populations ()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example we will work with the LTE level populations and **do not demand** statistical equilibrium." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Iterate level populations until statistical equilibrium\n", "# model.compute_level_populations_sparse (True, 20)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Make synthetic observations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can make synthetic observations of the model." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Computing spectral discretisation...\n", "Computing image new..." ] }, { "data": { "text/plain": [ "0" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "name": "stdout", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "fcen = model.lines.lineProducingSpecies[0].linedata.frequency[0]\n", "vpix = 1500 # velocity pixel size [m/s] \n", "dd = vpix * (model.parameters.nfreqs()-1)/2 / magritte.CC\n", "fmin = fcen - fcen*dd\n", "fmax = fcen + fcen*dd\n", "\n", "model.compute_spectral_discretisation (fmin, fmax, 31)#bins using the specified amount of frequency bins (31). Can be any integer >=1\n", "\n", "model.compute_image_new (model.parameters.hnrays()-1, 512, 512)#using a resolution of 512x512 for the image. \n", "#Instead of definining a ray index [0, nrays-1], you can also define a ray direction for the imager \n", "#model.compute_image_new (rx, ry, rz, 512, 512)#in which (rx, ry, rz) is the (normalized) ray direction" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plot observations" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Plot the resulting channel maps with the Magritte matplotlib back end." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 31/31 [00:14<00:00, 2.15it/s]\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "030433bdae804e878c2c82e3eb6ae954", "version_major": 2, "version_minor": 0 }, "text/plain": [ "interactive(children=(IntSlider(value=15, description='v', max=30), Output()), _dom_classes=('widget-interact'…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/plain": [ ".(v)>" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "plot.image_mpl(\n", " model,\n", " image_nr = -1,\n", " zoom = 1.3,\n", " npix_x = 240,\n", " npix_y = 240,\n", " x_unit = units.au,\n", " v_unit = units.km / units.s\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "(The plot is only interactive in a live notebook.)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Save the image cube in a fits file." ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Written file to: /lhome/thomasc/Magritte-examples/Phantom_3D/images/image.fits\n" ] } ], "source": [ "tools.save_fits(model)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "(Optional: To create your own plots) Overview of data stored in the Image object" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "image directions: [1. 0. 0.] [0. 1. 0.] [0. 0. 1.]\n", "# of frequencies: 31 frequencies : [1.15262550e+11 1.15263127e+11 1.15263704e+11 1.15264281e+11\n", " 1.15264857e+11 1.15265434e+11 1.15266011e+11 1.15266588e+11\n", " 1.15267165e+11 1.15267741e+11 1.15268318e+11 1.15268895e+11\n", " 1.15269472e+11 1.15270048e+11 1.15270625e+11 1.15271202e+11\n", " 1.15271779e+11 1.15272355e+11 1.15272932e+11 1.15273509e+11\n", " 1.15274086e+11 1.15274662e+11 1.15275239e+11 1.15275816e+11\n", " 1.15276393e+11 1.15276969e+11 1.15277546e+11 1.15278123e+11\n", " 1.15278700e+11 1.15279276e+11 1.15279853e+11]\n" ] } ], "source": [ "import numpy as np\n", "xdir = np.array(model.images[-1].image_direction_x)#directions of the x-and y-vectors of the image\n", "ydir = np.array(model.images[-1].image_direction_y)\n", "zdir = np.array(model.images[-1].image_direction_z)#this is direction in which we observe the object\n", "print(\"image directions: \", xdir, ydir, zdir)\n", "nfreqs = np.array(model.images[-1].nfreqs) #number of frequency bins\n", "freqs = np.array(model.images[-1].freqs) #frequency bins [Hz]\n", "print(\"# of frequencies: \", nfreqs, \" frequencies :\", freqs)\n", "ImX = np.array(model.images[-1].ImX)#X position in image [m]\n", "ImY = np.array(model.images[-1].ImY)#Y position in image [m]\n", "I = np.array(model.images[-1].I)#Intensity at the corresponding ImX, ImY position [W/(m^2*Hz*sr)], at a given frequency bin\n", "# print(\"Intensities :\", I, \" ImX:\", ImX, \"ImY:\", ImY) #prints a lot of output" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": 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