{ "cells": [ { "cell_type": "markdown", "id": "c0e2d1b2-9d9b-49d2-bbaf-f2a6b9d3dd44", "metadata": {}, "source": [ "# Exoplanets: primary transit\n", "\n", "In this example, we show how archNEMESIS can be used to perform a retrieval of an exoplanet atmosphere through the analysis of transit observations. Specifically, in this example we are first going to generate a synthetic spectrum, and then retrieve the abundance of SO$_2$ from the spectra, simulating how we would analyse a measured spectrum from an observatory.\n", "\n", "The information about the reference classes here is obtained from an input HDF5 file with relevant information for the observation. This file can be easily generated following this [tutorial](https://archnemesis.readthedocs.io/en/latest/examples/Exoplanet_primary_transit/exoplanet.html)." ] }, { "cell_type": "code", "execution_count": 1, "id": "d6cb5c1a-c963-438e-8edf-a9171a786418", "metadata": {}, "outputs": [], "source": [ "import archnemesis as ans\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "id": "012e6e10-607a-4a3d-a13e-fbe67f742cd9", "metadata": {}, "source": [ "## 1. Generating the synthetic spectrum\n", "\n", "In this example, we are going to read the information from the input file. However, we are going to modify the amount of SO$_2$ to generate the synthetic spectrum, to see whether we can then recover it when performing the retrieval." ] }, { "cell_type": "markdown", "id": "4ef827cb-82c7-426c-8c39-35048f25800f", "metadata": {}, "source": [ "### 1.1. Reading the input file " ] }, { "cell_type": "code", "execution_count": 2, "id": "dadeacb6-0d8e-47d4-b619-b56c047d99f3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING :: read_hdf5 :: Layer_0.py-379 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/BASEH\" setting returned value to \"None\"\n", "WARNING :: read_hdf5 :: Layer_0.py-380 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/BASEP\" setting returned value to \"None\"\n", "WARNING :: read_hdf5 :: Layer_0.py-381 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/TAUTOT\" setting returned value to \"None\"\n", "WARNING :: read_header :: Spectroscopy_0.py-566 :: self.NGAS=8 self.LOCATION=PathRedirectList(['/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/H2O_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CO2_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CO_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/NH3_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CH4_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/SO2_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/H2S_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/HCN_R1000.kta'], redirects = {})\n", "INFO :: read_apr :: Variables_0.py-823 :: \n", "Variables_0 :: read_apr :: varident [9 0 0]. Constructed model \"Model0\" (id=0)\n", "INFO :: read_apr :: Variables_0.py-826 :: Model0:\n", " |- id : 0\n", " |- parent classes: PreRTModelBase\n", " |- description: In this model, the atmospheric parameters are modelled as\n", " | continuous profiles in which each element of the state vector\n", " | corresponds to the atmospheric profile at each altitude level\n", " |- n_state_vector_entries : 150\n", " |- state_vector_slice : slice(0, 150, None)\n", " |- state_vector_start : 0\n", " |- target : 0\n", " |- Parameters:\n", " | |- full_profile :\n", " | | |- slice : slice(None, None, None)\n", " | | |- unit : PROFILE_TYPE\n", " | | |- description: Every value for each level of the profile\n", " | | |- apriori value : [1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06]\n" ] } ], "source": [ "runname = \"wasp-39b\"\n", "\n", "#Reading the input files\n", "Atmosphere,Measurement,Spectroscopy,Scatter,Stellar,Surface,CIA,Layer,Variables,Retrieval,Telluric = ans.Files.read_input_files_hdf5(runname)" ] }, { "cell_type": "code", "execution_count": 3, "id": "5e606019-8123-41df-941d-1fa77ac82049", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "Atmosphere.plot_Atm()" ] }, { "cell_type": "markdown", "id": "41e973e3-7d8a-4716-9fe9-9362739c9a29", "metadata": {}, "source": [ "### 1.2. Modifying the amount of SO$_2$\n", "\n", "To modify the amount of SO$_2$ in the atmosphere, we are going to write a new .apr file, so that the reference classes are updated when computing the forward model" ] }, { "cell_type": "code", "execution_count": 4, "id": "cc0eb5c2-7831-419c-9f05-14a0fe6dda38", "metadata": {}, "outputs": [], "source": [ "#Writing new .apr file\n", "nvar = 1\n", "varident = np.zeros((3,nvar),dtype=\"int32\")\n", "varident[:,0] = [9,0,2] #I1=9 (SO2); I2=0 (All isotopes); I3=0 (Model 2 - scaling factor)\n", "fapr = open(runname+\".apr\",\"w\")\n", "fapr.write(\"#Synthetic retrieval for exoplanet primary transit \\n\")\n", "fapr.write(\"\\t %i \\n\" % (nvar))\n", "fapr.write(\"\\t %i \\t %i \\t %i \\n\" % (varident[0,0],varident[1,0],varident[2,0]))\n", "fapr.write(\"1.0 0.1 \\n\")\n", "fapr.close()" ] }, { "cell_type": "code", "execution_count": 5, "id": "1a1e1f80-4286-42a2-891a-e39a44dabe12", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING :: read_hdf5 :: Layer_0.py-379 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/BASEH\" setting returned value to \"None\"\n", "WARNING :: read_hdf5 :: Layer_0.py-380 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/BASEP\" setting returned value to \"None\"\n", "WARNING :: read_hdf5 :: Layer_0.py-381 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/TAUTOT\" setting returned value to \"None\"\n", "WARNING :: read_header :: Spectroscopy_0.py-566 :: self.NGAS=8 self.LOCATION=PathRedirectList(['/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/H2O_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CO2_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CO_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/NH3_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CH4_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/SO2_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/H2S_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/HCN_R1000.kta'], redirects = {})\n", "INFO :: read_apr :: Variables_0.py-823 :: \n", "Variables_0 :: read_apr :: varident [9 0 2]. Constructed model \"Model2\" (id=2)\n", "INFO :: read_apr :: Variables_0.py-826 :: Model2:\n", " |- id : 2\n", " |- parent classes: PreRTModelBase\n", " |- description: In this model, the atmospheric parameters are scaled using a\n", " | single factor with respect to the vertical profiles in the\n", " | reference atmosphere\n", " |- n_state_vector_entries : 1\n", " |- state_vector_slice : slice(0, 1, None)\n", " |- state_vector_start : 0\n", " |- target : 0\n", " |- Parameters:\n", " | |- scaling_factor :\n", " | | |- slice : slice(0, 1, None)\n", " | | |- unit : PROFILE_TYPE\n", " | | |- description: Scaling factor applied to the reference profile\n", " | | |- apriori value : 1.0\n" ] } ], "source": [ "#Reading the input files\n", "Atmosphere,Measurement,Spectroscopy,Scatter,Stellar,Surface,CIA,Layer,Variables,Retrieval,Telluric = ans.Files.read_input_files_hdf5(runname)" ] }, { "cell_type": "markdown", "id": "8b6c2dc2-2bf6-4083-8b0d-c338bd21c0c1", "metadata": {}, "source": [ "### 1.2. Generating a forward model" ] }, { "cell_type": "code", "execution_count": 6, "id": "d0296083-f23c-4f75-ae0c-8736741cfbb3", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO :: __init__ :: ForwardModel_0.py-256 :: Checking atmospheric gasses have spectroscopy data.\n", "WARNING :: __init__ :: ForwardModel_0.py-303 :: Not all atmospheric gasses have spectroscopy data.\n", "# WARNING #########################################################################\n", "\n", "The following atmospheric gasses ARE NOT PRESENT in the spectroscopy data and WILL NOT CONTRIBUTE TO OPACITY:\n", "\n", " H2 (id 39) isotopologue 0\n", " He (id 40) isotopologue 0\n", "\n", "To deactivate this warning place a path to a k-table file for these gasses in one of the following locations (depending upon your input file type):\n", "\n", " [HDF5 Input]\n", " In the \"wasp121.h5\" file, add an entry to \"/Spectroscopy/LOCATION\"\n", " and update \"/Spectroscopy/NGAS\" appropriately.\n", "\n", " [LEGACY Input]\n", " Add an entry to the \"wasp121.kls\" file.\n", "\n", "# END WARNING #####################################################################\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1809 :: Calculating forward model for primary transit observation\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1837 :: Running CIRSrad for primary transit observation\n", "INFO :: calculate_vertical_cia_opacity :: ForwardModel_0.py-3765 :: Calculating self.CIAX opacity\n", "WARNING :: calc_tau_cia :: ForwardModel_0.py-4336 :: in CIA :: Calculation wavelengths expand a larger range than in CIA table\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3834 :: CIRSrad :: Aerosol optical depths at (0.3001500070095062, ' :: ', array([0.]))\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3852 :: Calculating TOTAL opacity\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3869 :: CIRSradg :: Calculating TOTAL line-of-sight opacity\n", "INFO :: CIRSrad :: ForwardModel_0.py-4201 :: CIRSrad :: IMODM = \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1890 :: Convolving spectra and gradients with instrument line shape\n" ] } ], "source": [ "ForwardModel = ans.ForwardModel_0(Atmosphere=Atmosphere,Surface=Surface,Measurement=Measurement,Spectroscopy=Spectroscopy,Stellar=Stellar,Scatter=Scatter,CIA=CIA,Layer=Layer,Variables=Variables,Telluric=Telluric)\n", "\n", "SPECONV = ForwardModel.nemesisPTfm()" ] }, { "cell_type": "code", "execution_count": 7, "id": "3db7cc36-e6a8-4622-9d05-e87184db6593", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,ax1 = plt.subplots(1,1,figsize=(10,4))\n", "\n", "ax1.plot(Measurement.VCONV[:,0],SPECONV,c='black',linewidth=1.)\n", "ax1.grid()\n", "ax1.set_xlabel('Wavelength ($\\mu$m)')\n", "ax1.set_ylabel('Transit depth (%)')\n", "ax1.set_facecolor('lightgray')\n", "plt.tight_layout()\n" ] }, { "cell_type": "markdown", "id": "1099272d-ba40-45fe-80ec-6418f0afd0b4", "metadata": {}, "source": [ "### 1.3. Adding random noise to the spectrum\n", "\n", "Now, we add some random noise to the spectrum. This will of course be dependent on the quality of the observation. Here, we are going to assume we have a 2$\\%$ error at all wavelengths.\n" ] }, { "cell_type": "code", "execution_count": 8, "id": "11bfdbdb-2449-46ad-a072-ce22aca8fa6e", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "noise_level = 7.0e-5\n", "\n", "noise = np.random.normal(loc=0.0,scale=noise_level * SPECONV[:,0])\n", "\n", "synthetic_spectrum = (SPECONV.T + noise).T\n", "synthetic_error = SPECONV * noise_level\n", "\n", "fig,ax1 = plt.subplots(1,1,figsize=(10,4))\n", "\n", "ax1.plot(Measurement.VCONV[:,0],synthetic_spectrum,c='tab:red',linewidth=1.,label=\"Noisy spectrum\")\n", "ax1.plot(Measurement.VCONV[:,0],SPECONV,c='black',linewidth=1.,label=\"Forward model\")\n", "ax1.grid()\n", "ax1.legend()\n", "ax1.set_xlabel('Wavelength ($\\mu$m)')\n", "ax1.set_ylabel('Transit depth (%)')\n", "ax1.set_facecolor('lightgray')\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "ed259500-6092-40ed-ad47-678c1c7db7e4", "metadata": {}, "source": [ "### 1.4. Re-writing file\n", "\n", "Now we need to overwrite the Measurement class to include the measured spectrum and uncertainty in the input file." ] }, { "cell_type": "code", "execution_count": 9, "id": "f3163f15-8f71-469f-9aed-6559760e554f", "metadata": {}, "outputs": [], "source": [ "Measurement.edit_MEAS(synthetic_spectrum)\n", "Measurement.edit_ERRMEAS(synthetic_error)\n", "\n", "Measurement.write_hdf5(runname)" ] }, { "cell_type": "markdown", "id": "57eaddee-488b-44d8-abc7-c544abe0b73a", "metadata": {}, "source": [ "## 2. Running the retrieval\n", "\n", "Now that we have a \"measured\" spectrum, we can perform a retrieval to see if we can recover a given atmospheric parameter. In our case, we are going to retrieve a continuous vertical profile of SO$_2$. To do so, we are going to specify this information in the .apr file, and then we will perform the retrieval." ] }, { "cell_type": "markdown", "id": "9cb952d0-80cf-4062-bc34-c51ee38b89f4", "metadata": {}, "source": [ "### 2.1. Writing .apr file " ] }, { "cell_type": "code", "execution_count": 10, "id": "828a646c-3085-4516-82d1-c8ecad414724", "metadata": {}, "outputs": [], "source": [ "def write_apr_continuous_profile(filename,press,profile,profile_err,clen=1.5):\n", " \"\"\"\n", " Function to write the a priori file for the retrieval of a continuous vertical profile\n", " \"\"\"\n", "\n", " #Write file\n", " fref = open(filename,'w')\n", " fref.write('\\t %i \\t %10.3f \\n' % (len(press),clen))\n", " for i in range(len(press)):\n", " fref.write('\\t %10.6e \\t %10.6e \\t %10.6e \\n' % (press[i],profile[i],profile_err[i]))\n", " fref.close()\n", "\n", "\n", "#Writing new .apr file\n", "nvar = 1\n", "varident = np.zeros((3,nvar),dtype=\"int32\")\n", "varident[:,0] = [9,0,0] #I1=9 (SO2); I2=0 (All isotopes); I3=0 (Model 0 - continuous profile)\n", "fapr = open(runname+\".apr\",\"w\")\n", "fapr.write(\"#Synthetic retrieval for exoplanet primary transit \\n\")\n", "fapr.write(\"\\t %i \\n\" % (nvar))\n", "fapr.write(\"\\t %i \\t %i \\t %i \\n\" % (varident[0,0],varident[1,0],varident[2,0]))\n", "fapr.write(\"so2apr.dat \\n\")\n", "fapr.close()\n", "\n", "#Writing the so2apr.dat file\n", "so2_apr = np.ones(Atmosphere.NP) * 1.0e-6\n", "so2_aprerr = so2_apr * 0.5 #50% uncertainty\n", "write_apr_continuous_profile(\"so2apr.dat\",Atmosphere.P,so2_apr,so2_aprerr,clen=1.5)\n" ] }, { "cell_type": "markdown", "id": "91982c59-55d0-48d5-a23b-69e5d42ad49b", "metadata": {}, "source": [ "### 2.2. Setting up retrieval" ] }, { "cell_type": "code", "execution_count": 11, "id": "64136d1b-d6ed-4a4e-9144-a1f5752fa8e1", "metadata": {}, "outputs": [], "source": [ "Retrieval = ans.OptimalEstimation_0(IRET=0)\n", "\n", "Retrieval.NITER = 5 #Number of iterations\n", "Retrieval.PHILIMIT = 0.1 #Convergence criterion\n", "Retrieval.NCORES = 1 #Number of available cores (not needed for this version of the forward model)\n", "\n", "Retrieval.assess_input()\n", "Retrieval.write_input_hdf5(runname)" ] }, { "cell_type": "markdown", "id": "7a06e689-dbbb-494b-b380-d84a7b2cd1a4", "metadata": {}, "source": [ "### 2.3. Running retrieval" ] }, { "cell_type": "code", "execution_count": 12, "id": "99168a8c-973f-425d-8bbb-547f2270c6bd", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING :: read_hdf5 :: Layer_0.py-379 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/BASEH\" setting returned value to \"None\"\n", "WARNING :: read_hdf5 :: Layer_0.py-380 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/BASEP\" setting returned value to \"None\"\n", "WARNING :: read_hdf5 :: Layer_0.py-381 :: When reading file \"wasp-39b.h5\", could not find element \"Layer/TAUTOT\" setting returned value to \"None\"\n", "WARNING :: read_header :: Spectroscopy_0.py-566 :: self.NGAS=8 self.LOCATION=PathRedirectList(['/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/H2O_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CO2_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CO_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/NH3_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/CH4_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/SO2_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/H2S_R1000.kta', '/exomars/retrievals/nemesis/spectroscopy/Ktables/Exoplanets/Jake/R1000/HCN_R1000.kta'], redirects = {})\n", "INFO :: read_apr :: Variables_0.py-823 :: \n", "Variables_0 :: read_apr :: varident [9 0 0]. Constructed model \"Model0\" (id=0)\n", "INFO :: read_apr :: Variables_0.py-826 :: Model0:\n", " |- id : 0\n", " |- parent classes: PreRTModelBase\n", " |- description: In this model, the atmospheric parameters are modelled as\n", " | continuous profiles in which each element of the state vector\n", " | corresponds to the atmospheric profile at each altitude level\n", " |- n_state_vector_entries : 150\n", " |- state_vector_slice : slice(0, 150, None)\n", " |- state_vector_start : 0\n", " |- target : 0\n", " |- Parameters:\n", " | |- full_profile :\n", " | | |- slice : slice(None, None, None)\n", " | | |- unit : PROFILE_TYPE\n", " | | |- description: Every value for each level of the profile\n", " | | |- apriori value : [1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06\n", " 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06 1.e-06]\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1325 :: coreretOE :: Starting OptimalEstimation retrieval with NITER=5 PHILIMIT=0.1 NCORES=None\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1352 :: nemesis :: Calculating Jacobian matrix KK\n", "INFO :: jacobian_nemesis :: ForwardModel_0.py-2191 :: Calculating analytical part of the Jacobian :: Calling nemesisfmg \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1809 :: Calculating forward model for primary transit observation\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1840 :: Running CIRSradg for primary transit observation\n", "INFO :: calculate_vertical_cia_opacity :: ForwardModel_0.py-3765 :: Calculating self.CIAX opacity\n", "WARNING :: calc_tau_cia :: ForwardModel_0.py-4336 :: in CIA :: Calculation wavelengths expand a larger range than in CIA table\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3834 :: CIRSrad :: Aerosol optical depths at (0.3001500070095062, ' :: ', array([0.]))\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3852 :: Calculating TOTAL opacity\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3869 :: CIRSradg :: Calculating TOTAL line-of-sight opacity\n", "INFO :: CIRSrad :: ForwardModel_0.py-4201 :: CIRSrad :: IMODM = \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1844 :: Mapping gradients from Layer to Profile\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1856 :: Mapping gradients from Profile to State Vector\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1890 :: Convolving spectra and gradients with instrument line shape\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1361 :: nemesis :: Calculating gain matrix\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1367 :: nemesis :: Calculating cost function\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=5263.76821817002, apriori_diff_cost=0.0, chisq=1.3448564686177875, measurement_diff_cost+apriori_diff_cost=5263.76821817002\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1371 :: chisq/ny = 1.3448564686177875\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1378 :: \titer | iter_state | phi | chisq | state vector \n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1379 :: \t0000 | PHI INITIAL | 5.264E+03 | 1.345E+00 | -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01\n", "\n", "INFO :: assess :: OptimalEstimation_0.py-669 :: Assess:\n", "INFO :: assess :: OptimalEstimation_0.py-670 :: Average of diagonal elements of Kk*Sx*Kt : 2.829731868459669e-08\n", "INFO :: assess :: OptimalEstimation_0.py-671 :: Average of diagonal elements of Se : 2.8206673978263875e-08\n", "INFO :: assess :: OptimalEstimation_0.py-672 :: Ratio = 1.003213590741066\n", "INFO :: assess :: OptimalEstimation_0.py-673 :: Average of Kk*Sx*Kt/Se element ratio : 1.0032114546874633\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1405 :: nemesis :: Iteration 0/5\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1424 :: nemesis :: Calculating next iterated state vector\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1477 :: nemesis :: Calculating Jacobian matrix KK\n", "INFO :: jacobian_nemesis :: ForwardModel_0.py-2191 :: Calculating analytical part of the Jacobian :: Calling nemesisfmg \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1809 :: Calculating forward model for primary transit observation\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1840 :: Running CIRSradg for primary transit observation\n", "INFO :: calculate_vertical_cia_opacity :: ForwardModel_0.py-3765 :: Calculating self.CIAX opacity\n", "WARNING :: calc_tau_cia :: ForwardModel_0.py-4336 :: in CIA :: Calculation wavelengths expand a larger range than in CIA table\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3834 :: CIRSrad :: Aerosol optical depths at (0.3001500070095062, ' :: ', array([0.]))\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3852 :: Calculating TOTAL opacity\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3869 :: CIRSradg :: Calculating TOTAL line-of-sight opacity\n", "INFO :: CIRSrad :: ForwardModel_0.py-4201 :: CIRSrad :: IMODM = \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1844 :: Mapping gradients from Layer to Profile\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1856 :: Mapping gradients from Profile to State Vector\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1890 :: Convolving spectra and gradients with instrument line shape\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=4204.170963217051, apriori_diff_cost=27.690697880571026, chisq=1.0741366794116125, measurement_diff_cost+apriori_diff_cost=4231.861661097622\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1500 :: chisq/ny = 1.0741366794116125\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1504 :: Successful iteration. Updating xn,yn and kk\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=4204.170963217051, apriori_diff_cost=27.690697880571026, chisq=1.0741366794116125, measurement_diff_cost+apriori_diff_cost=4231.861661097622\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1543 :: \titer | iter_state | phi | chisq | state vector \n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1544 :: \t0000 | PHI REDUCED | 4.232E+03 | 1.074E+00 | -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.378E+01 -1.378E+01 -1.378E+01 -1.377E+01 -1.377E+01 -1.376E+01 -1.376E+01 -1.375E+01 -1.374E+01 -1.373E+01 -1.373E+01 -1.372E+01 -1.370E+01 -1.369E+01 -1.368E+01 -1.366E+01 -1.365E+01 -1.363E+01 -1.361E+01 -1.359E+01 -1.356E+01 -1.354E+01 -1.350E+01 -1.347E+01 -1.343E+01 -1.339E+01 -1.335E+01 -1.330E+01 -1.324E+01 -1.318E+01 -1.311E+01 -1.304E+01 -1.296E+01 -1.288E+01 -1.280E+01 -1.270E+01 -1.261E+01 -1.251E+01 -1.242E+01 -1.233E+01 -1.222E+01 -1.213E+01 -1.206E+01 -1.198E+01 -1.191E+01 -1.185E+01 -1.180E+01 -1.177E+01 -1.175E+01 -1.174E+01 -1.174E+01 -1.175E+01 -1.178E+01 -1.181E+01 -1.185E+01 -1.190E+01 -1.195E+01 -1.201E+01 -1.207E+01 -1.214E+01 -1.220E+01 -1.227E+01 -1.234E+01 -1.241E+01 -1.247E+01 -1.254E+01 -1.260E+01 -1.267E+01 -1.273E+01 -1.279E+01 -1.285E+01 -1.291E+01 -1.296E+01 -1.301E+01 -1.307E+01 -1.311E+01 -1.316E+01 -1.321E+01 -1.325E+01 -1.329E+01 -1.333E+01 -1.336E+01 -1.340E+01 -1.343E+01 -1.346E+01 -1.349E+01 -1.352E+01 -1.354E+01 -1.356E+01 -1.358E+01 -1.360E+01 -1.362E+01 -1.364E+01 -1.365E+01 -1.367E+01 -1.368E+01 -1.369E+01 -1.370E+01 -1.371E+01 -1.372E+01 -1.373E+01 -1.374E+01 -1.374E+01 -1.375E+01 -1.376E+01 -1.376E+01 -1.377E+01 -1.377E+01 -1.378E+01 -1.378E+01 -1.378E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01\n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1405 :: nemesis :: Iteration 1/5\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1424 :: nemesis :: Calculating next iterated state vector\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1477 :: nemesis :: Calculating Jacobian matrix KK\n", "INFO :: jacobian_nemesis :: ForwardModel_0.py-2191 :: Calculating analytical part of the Jacobian :: Calling nemesisfmg \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1809 :: Calculating forward model for primary transit observation\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1840 :: Running CIRSradg for primary transit observation\n", "INFO :: calculate_vertical_cia_opacity :: ForwardModel_0.py-3765 :: Calculating self.CIAX opacity\n", "WARNING :: calc_tau_cia :: ForwardModel_0.py-4336 :: in CIA :: Calculation wavelengths expand a larger range than in CIA table\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3834 :: CIRSrad :: Aerosol optical depths at (0.3001500070095062, ' :: ', array([0.]))\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3852 :: Calculating TOTAL opacity\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3869 :: CIRSradg :: Calculating TOTAL line-of-sight opacity\n", "INFO :: CIRSrad :: ForwardModel_0.py-4201 :: CIRSrad :: IMODM = \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1844 :: Mapping gradients from Layer to Profile\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1856 :: Mapping gradients from Profile to State Vector\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1890 :: Convolving spectra and gradients with instrument line shape\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=3925.344503562753, apriori_diff_cost=57.68120126634493, chisq=1.0028984424023384, measurement_diff_cost+apriori_diff_cost=3983.025704829098\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1500 :: chisq/ny = 1.0028984424023384\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1504 :: Successful iteration. Updating xn,yn and kk\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=3925.344503562753, apriori_diff_cost=57.68120126634493, chisq=1.0028984424023384, measurement_diff_cost+apriori_diff_cost=3983.025704829098\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1543 :: \titer | iter_state | phi | chisq | state vector \n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1544 :: \t0001 | PHI REDUCED | 3.983E+03 | 1.003E+00 | -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.378E+01 -1.378E+01 -1.378E+01 -1.377E+01 -1.377E+01 -1.376E+01 -1.375E+01 -1.375E+01 -1.374E+01 -1.373E+01 -1.372E+01 -1.371E+01 -1.370E+01 -1.369E+01 -1.368E+01 -1.366E+01 -1.364E+01 -1.362E+01 -1.360E+01 -1.358E+01 -1.356E+01 -1.353E+01 -1.350E+01 -1.346E+01 -1.342E+01 -1.338E+01 -1.333E+01 -1.328E+01 -1.323E+01 -1.316E+01 -1.310E+01 -1.303E+01 -1.295E+01 -1.287E+01 -1.278E+01 -1.269E+01 -1.259E+01 -1.249E+01 -1.238E+01 -1.227E+01 -1.216E+01 -1.204E+01 -1.191E+01 -1.178E+01 -1.166E+01 -1.154E+01 -1.141E+01 -1.128E+01 -1.117E+01 -1.108E+01 -1.100E+01 -1.092E+01 -1.086E+01 -1.083E+01 -1.082E+01 -1.082E+01 -1.082E+01 -1.085E+01 -1.090E+01 -1.096E+01 -1.103E+01 -1.110E+01 -1.118E+01 -1.127E+01 -1.137E+01 -1.147E+01 -1.157E+01 -1.168E+01 -1.179E+01 -1.190E+01 -1.200E+01 -1.211E+01 -1.221E+01 -1.231E+01 -1.241E+01 -1.250E+01 -1.259E+01 -1.268E+01 -1.276E+01 -1.284E+01 -1.291E+01 -1.298E+01 -1.305E+01 -1.311E+01 -1.317E+01 -1.322E+01 -1.327E+01 -1.331E+01 -1.335E+01 -1.339E+01 -1.343E+01 -1.346E+01 -1.349E+01 -1.352E+01 -1.355E+01 -1.357E+01 -1.359E+01 -1.361E+01 -1.363E+01 -1.365E+01 -1.366E+01 -1.368E+01 -1.369E+01 -1.370E+01 -1.371E+01 -1.372E+01 -1.373E+01 -1.374E+01 -1.374E+01 -1.375E+01 -1.376E+01 -1.376E+01 -1.377E+01 -1.377E+01 -1.378E+01 -1.378E+01 -1.378E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.381E+01 -1.381E+01 -1.381E+01\n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1405 :: nemesis :: Iteration 2/5\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1424 :: nemesis :: Calculating next iterated state vector\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1477 :: nemesis :: Calculating Jacobian matrix KK\n", "INFO :: jacobian_nemesis :: ForwardModel_0.py-2191 :: Calculating analytical part of the Jacobian :: Calling nemesisfmg \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1809 :: Calculating forward model for primary transit observation\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1840 :: Running CIRSradg for primary transit observation\n", "INFO :: calculate_vertical_cia_opacity :: ForwardModel_0.py-3765 :: Calculating self.CIAX opacity\n", "WARNING :: calc_tau_cia :: ForwardModel_0.py-4336 :: in CIA :: Calculation wavelengths expand a larger range than in CIA table\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3834 :: CIRSrad :: Aerosol optical depths at (0.3001500070095062, ' :: ', array([0.]))\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3852 :: Calculating TOTAL opacity\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3869 :: CIRSradg :: Calculating TOTAL line-of-sight opacity\n", "INFO :: CIRSrad :: ForwardModel_0.py-4201 :: CIRSrad :: IMODM = \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1844 :: Mapping gradients from Layer to Profile\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1856 :: Mapping gradients from Profile to State Vector\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1890 :: Convolving spectra and gradients with instrument line shape\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=3905.987321706293, apriori_diff_cost=62.33730648434567, chisq=0.9979528159699267, measurement_diff_cost+apriori_diff_cost=3968.324628190639\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1500 :: chisq/ny = 0.9979528159699267\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1504 :: Successful iteration. Updating xn,yn and kk\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=3905.987321706293, apriori_diff_cost=62.33730648434567, chisq=0.9979528159699267, measurement_diff_cost+apriori_diff_cost=3968.324628190639\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1543 :: \titer | iter_state | phi | chisq | state vector \n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1544 :: \t0002 | PHI REDUCED | 3.968E+03 | 9.980E-01 | -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.378E+01 -1.378E+01 -1.377E+01 -1.377E+01 -1.376E+01 -1.376E+01 -1.375E+01 -1.375E+01 -1.374E+01 -1.373E+01 -1.372E+01 -1.371E+01 -1.370E+01 -1.369E+01 -1.367E+01 -1.366E+01 -1.364E+01 -1.362E+01 -1.360E+01 -1.358E+01 -1.355E+01 -1.352E+01 -1.349E+01 -1.345E+01 -1.341E+01 -1.337E+01 -1.332E+01 -1.327E+01 -1.322E+01 -1.316E+01 -1.310E+01 -1.303E+01 -1.296E+01 -1.289E+01 -1.282E+01 -1.274E+01 -1.266E+01 -1.258E+01 -1.249E+01 -1.240E+01 -1.231E+01 -1.221E+01 -1.211E+01 -1.200E+01 -1.189E+01 -1.178E+01 -1.166E+01 -1.154E+01 -1.143E+01 -1.131E+01 -1.119E+01 -1.108E+01 -1.099E+01 -1.091E+01 -1.083E+01 -1.076E+01 -1.071E+01 -1.068E+01 -1.068E+01 -1.069E+01 -1.070E+01 -1.074E+01 -1.081E+01 -1.089E+01 -1.098E+01 -1.107E+01 -1.118E+01 -1.130E+01 -1.142E+01 -1.155E+01 -1.167E+01 -1.179E+01 -1.192E+01 -1.204E+01 -1.216E+01 -1.227E+01 -1.238E+01 -1.249E+01 -1.259E+01 -1.269E+01 -1.277E+01 -1.286E+01 -1.294E+01 -1.301E+01 -1.308E+01 -1.314E+01 -1.320E+01 -1.325E+01 -1.330E+01 -1.334E+01 -1.338E+01 -1.342E+01 -1.346E+01 -1.349E+01 -1.352E+01 -1.355E+01 -1.357E+01 -1.359E+01 -1.361E+01 -1.363E+01 -1.365E+01 -1.366E+01 -1.368E+01 -1.369E+01 -1.370E+01 -1.371E+01 -1.372E+01 -1.373E+01 -1.374E+01 -1.375E+01 -1.375E+01 -1.376E+01 -1.376E+01 -1.377E+01 -1.377E+01 -1.378E+01 -1.378E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.381E+01\n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1405 :: nemesis :: Iteration 3/5\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1424 :: nemesis :: Calculating next iterated state vector\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1477 :: nemesis :: Calculating Jacobian matrix KK\n", "INFO :: jacobian_nemesis :: ForwardModel_0.py-2191 :: Calculating analytical part of the Jacobian :: Calling nemesisfmg \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1809 :: Calculating forward model for primary transit observation\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1840 :: Running CIRSradg for primary transit observation\n", "INFO :: calculate_vertical_cia_opacity :: ForwardModel_0.py-3765 :: Calculating self.CIAX opacity\n", "WARNING :: calc_tau_cia :: ForwardModel_0.py-4336 :: in CIA :: Calculation wavelengths expand a larger range than in CIA table\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3834 :: CIRSrad :: Aerosol optical depths at (0.3001500070095062, ' :: ', array([0.]))\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3852 :: Calculating TOTAL opacity\n", "INFO :: calculate_layer_opacity :: ForwardModel_0.py-3869 :: CIRSradg :: Calculating TOTAL line-of-sight opacity\n", "INFO :: CIRSrad :: ForwardModel_0.py-4201 :: CIRSrad :: IMODM = \n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1844 :: Mapping gradients from Layer to Profile\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1856 :: Mapping gradients from Profile to State Vector\n", "INFO :: nemesisPTfm :: ForwardModel_0.py-1890 :: Convolving spectra and gradients with instrument line shape\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=3905.2449997317517, apriori_diff_cost=62.54156876371238, chisq=0.9977631578262013, measurement_diff_cost+apriori_diff_cost=3967.786568495464\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1500 :: chisq/ny = 0.9977631578262013\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1504 :: Successful iteration. Updating xn,yn and kk\n", "WARNING :: calc_phiret :: OptimalEstimation_0.py-629 :: calc_phiret: measurement_diff_cost=3905.2449997317517, apriori_diff_cost=62.54156876371238, chisq=0.9977631578262013, measurement_diff_cost+apriori_diff_cost=3967.786568495464\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1522 :: Previous phi = 3968.324628190639\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1523 :: Current phi = 3967.786568495464\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1524 :: Current phi as percentage of previous: 0.013558862885174498\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1525 :: Percentage convergence limit: 0.1\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1526 :: Phi has converged\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1527 :: Terminating retrieval\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1549 :: coreretOE :: Completed Optimal Estimation retrieval. Showing phi and chisq evolution\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1562 :: \titer | phi | chisq | state vector \n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1568 :: \t0000 | 5.264E+03 | 1.345E+00 | -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 -1.382E+01 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-1.357E+01 -1.359E+01 -1.361E+01 -1.363E+01 -1.365E+01 -1.366E+01 -1.368E+01 -1.369E+01 -1.370E+01 -1.371E+01 -1.372E+01 -1.373E+01 -1.374E+01 -1.374E+01 -1.375E+01 -1.376E+01 -1.376E+01 -1.377E+01 -1.377E+01 -1.378E+01 -1.378E+01 -1.378E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.381E+01 -1.381E+01 -1.381E+01\n", "\n", "INFO :: coreretOE :: OptimalEstimation_0.py-1568 :: \t0003 | 3.968E+03 | 9.980E-01 | -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.381E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.378E+01 -1.378E+01 -1.377E+01 -1.377E+01 -1.376E+01 -1.376E+01 -1.375E+01 -1.375E+01 -1.374E+01 -1.373E+01 -1.372E+01 -1.371E+01 -1.370E+01 -1.369E+01 -1.367E+01 -1.366E+01 -1.364E+01 -1.362E+01 -1.360E+01 -1.358E+01 -1.355E+01 -1.352E+01 -1.349E+01 -1.345E+01 -1.341E+01 -1.337E+01 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-1.379E+01 -1.379E+01 -1.379E+01 -1.379E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.380E+01 -1.381E+01\n", "\n", "INFO :: retrieval_nemesis :: Retrievals.py-256 :: Model run OK\n", "INFO :: retrieval_nemesis :: Retrievals.py-257 :: Elapsed time (s) = 381.6077423095703\n" ] } ], "source": [ "legacy_files=False #Reading the HDF5 file \n", "retrieval_method=0 #Optimal Estimtion\n", "NCores=None #Since we are not including scattering in this calculation (Scatter.ISCAT=0), the Jacobian is calculated analytically\n", "nemesisPT=True #We indicate that the retrieval must be run using the primary transit forward model\n", "\n", "ans.Retrievals.retrieval_nemesis(runname,legacy_files=legacy_files,retrieval_method=retrieval_method,NCores=NCores,nemesisPT=nemesisPT)" ] }, { "cell_type": "markdown", "id": "f8de77db-1e93-4461-83b4-ce10b1fc31b8", "metadata": {}, "source": [ "## 3. Exploring the outputs" ] }, { "cell_type": "markdown", "id": "3fad2a0b-446f-4f8e-a4ab-a863b216e757", "metadata": {}, "source": [ "### 3.1. Reading the fitted spectrum" ] }, { "cell_type": "code", "execution_count": 13, "id": "dd512da1-47fc-4b14-991c-46ea522880d7", "metadata": {}, "outputs": [], "source": [ "Measurement = ans.Files.read_bestfit_hdf5(runname)" ] }, { "cell_type": "code", "execution_count": 14, "id": "35b56820-86b9-4274-b99d-9ccd454fa562", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#Making summary plot\n", "fig,(ax1,ax2) = plt.subplots(2,1,figsize=(8,6),sharex=True)\n", "\n", "\n", "ax1.plot(Measurement.VCONV,Measurement.MEAS,label='Measured',c='black',linewidth=1)\n", "ax1.plot(Measurement.VCONV,Measurement.SPECMOD,label='Best fit',linewidth=2.)\n", "\n", "ax2.plot(Measurement.VCONV,Measurement.SPECMOD-Measurement.MEAS,linewidth=2.,label='Residuals')\n", "ax2.plot(Measurement.VCONV,Measurement.ERRMEAS,c='black',linewidth=1,label='Measurement uncertainty',linestyle='--')\n", "ax2.plot(Measurement.VCONV,-Measurement.ERRMEAS,c='black',linewidth=1,linestyle='--')\n", "ax2.legend()\n", "\n", "ax1.grid()\n", "ax2.grid()\n", "ax1.legend()\n", "ax1.set_facecolor('lightgray')\n", "ax2.set_facecolor('lightgray')\n", "ax2.set_xlabel('Wavelength ($\\mu$m)')\n", "ax1.set_ylabel('Radiance (W cm$^{-2}$ sr$^{-1}$ (cm$^{-1}$)$^{-1}$)')\n", "ax2.set_ylabel('Residuals')\n", "plt.tight_layout()" ] }, { "cell_type": "markdown", "id": "5951a3d5-e06d-4818-94d5-92b206ed3959", "metadata": {}, "source": [ "### 3.2. Reading the retrieved parameters" ] }, { "cell_type": "code", "execution_count": 15, "id": "f0ccb0e5-31f4-4a77-ae69-e74d57260d66", "metadata": {}, "outputs": [], "source": [ "nvar,nxvar,varident,varparam,aprparam,aprerrparam,retparam,reterrparam = ans.Files.read_retparam_hdf5(runname)" ] }, { "cell_type": "code", "execution_count": 17, "id": "19b7424d-cf14-4766-891b-215269cc9832", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig,(ax1,ax2) = plt.subplots(1,2,figsize=(6,4),sharey=True)\n", "\n", "ivar = 0\n", "\n", "capr = \"tab:red\"\n", "cret = \"tab:blue\"\n", "ctrue = \"tab:green\"\n", "\n", "ax1.plot(aprparam[:,ivar],Atmosphere.P/1.0e5,label=\"A priori\",c=capr)\n", "ax1.fill_betweenx(Atmosphere.P/1.0e5,retparam[:,ivar]-reterrparam[:,ivar],retparam[:,ivar]+reterrparam[:,ivar],alpha=0.2,color=cret)\n", "ax1.plot(retparam[:,ivar],Atmosphere.P/1.0e5,label=\"Retrieved\",c=cret)\n", "ax1.plot(Atmosphere.VMR[:,Atmosphere.ID==9],Atmosphere.P/1.0e5,label=\"True\",c=ctrue)\n", "ax1.set_xscale(\"log\")\n", "ax1.set_facecolor(\"lightgray\")\n", "ax1.set_ylabel(\"Pressure (bar)\")\n", "ax1.set_yscale(\"log\")\n", "ax1.set_xlabel(\"SO$_2$ vmr\")\n", "plt.gca().invert_yaxis()\n", "\n", "ax2.plot(aprerrparam[:,ivar]/aprparam[:,ivar]*100.,Atmosphere.P/1.0e5,label=\"A priori\",c=capr)\n", "ax2.plot(reterrparam[:,ivar]/retparam[:,ivar]*100.,Atmosphere.P/1.0e5,label=\"Retrieved\",c=cret)\n", "ax2.set_facecolor(\"lightgray\")\n", "ax2.set_xlabel(\"SO$_2$ uncertainty (%)\")\n", "\n", "ax1.legend()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.11.13" } }, "nbformat": 4, "nbformat_minor": 5 }