{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Example `Dysmalpy` 2D fitting, using fitting wrapper" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this example, we use `dysmalpy` to measure the kinematics of galaxy **GS4_43501** at $z=1.613$ in 2D, using a fitting wrapper which simplifies the implementation of the fitting algorithm to the user. In this specific case, the fittign method is $\\texttt{MPFIT}$, as specified at the bottom of the **fitting_2D_mpfit.params** file. The notebook shows how to find the best fit models for the two-dimensional velocity and velocity dispersion profiles ($v(x,y)$ and $\\sigma(x,y)$). These fits allow us to measure quantities such as the total mass (disk+bulge), the effective radius $r_\\mathrm{eff}$, dark matter fraction $f_\\mathrm{DM}$ and velocity dispersion $\\sigma_0$.\n", "\n", "**The fitting includes the following components:**\n", "\n", " - Disk + Bulge\n", " - NFW halo\n", " - Constant velocity dispersion\n", " \n", " **The structure of the notebook is the following:**\n", " \n", " 1) Setup steps (and load the params file)\n", " 2) Run `Dysmalpy` fitting: 2D wrapper, with fit method= MPFIT\n", " 3) Examine results" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1) Setup steps ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Import modules**" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:numexpr.utils:Note: NumExpr detected 10 cores but \"NUMEXPR_MAX_THREADS\" not set, so enforcing safe limit of 8.\n", "INFO:numexpr.utils:NumExpr defaulting to 8 threads.\n" ] } ], "source": [ "from __future__ import (absolute_import, division, print_function,\n", " unicode_literals)\n", "\n", "from dysmalpy.fitting_wrappers import dysmalpy_fit_single\n", "from dysmalpy.fitting_wrappers import utils_io\n", "from dysmalpy import fitting\n", "\n", "import os\n", "\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Setup notebook**" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# Setup plotting\n", "import matplotlib as mpl\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "\n", "mpl.rcParams['figure.dpi']= 300\n", "mpl.rc(\"savefig\", dpi=300)\n", "\n", "from IPython.core.display import Image" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Set data, output paths**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "- Note this will override the `datadir` and `outdir` specified in the param file. \n", "\n", " * *(This is useful for the example here. When running from command line, it's recommended to properly set the directories in the param file.)*" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "/Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/examples/examples_param_files/fitting_2D_mpfit.params\n" ] } ], "source": [ "# Data directory (datadir = /YOUR/DATA/PATH/)\n", "filepath = os.path.abspath(fitting.__file__)\n", "datadir = os.sep.join(os.path.dirname(filepath).split(os.sep)[:-1]+[\"tests\", \"test_data\", \"\"])\n", "\n", "# Load the parameters file from the examples directory\n", "param_path = os.sep.join(os.path.dirname(filepath).split(os.sep)[:-1]+[\"examples\", \"examples_param_files\", \"\"])\n", "param_filename = param_path+'fitting_2D_mpfit.params'\n", "print(param_filename)\n", "\n", "# Where to save output files (output = /YOUR/OUTPUTS/PATH)\n", "outdir = '/Users/sedona/data/dysmalpy_test_examples/JUPYTER_OUTPUT_2D_FITTING_WRAPPER/'\n", "outdir = '/Users/jespejo/Dropbox/Postdoc/Data/dysmalpy_test_examples/JUPYTER_OUTPUT_2D_FITTING_WRAPPER/'\n", "outdir_mpfit = outdir + 'MPFIT/'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "-------------------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Settings in parameter file:**\n", "\n", "Note there are many commented out options / parameters. These given an more complete overview of the settings & parameters that can be specified with the fitting wrapper parameter files." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "# Example parameters file for fitting a single object with 1D data\n", "# Note: DO NOT CHANGE THE NAMES IN THE 1ST COLUMN AND KEEP THE COMMAS!!\n", "# See README for a description of each parameter and its available options.\n", "\n", "# ******************************* OBJECT INFO **********************************\n", "galID, GS4_43501 # Name of your object\n", "z, 1.613 # Redshift\n", "\n", "\n", "\n", "# ****************************** DATA INFO *************************************\n", "\n", "datadir, None # Optional: Full path to data directory.\n", "\n", "fdata_vel, GS4_43501_Ha_vm.fits # Full path to vel map. Alternatively, just the filename if 'datadir' is set.\n", "fdata_verr, GS4_43501_Ha_vm_err.fits # Full path to vel. err map. Alternatively, just the filename if 'datadir' is set.\n", "fdata_disp, GS4_43501_Ha_dm.fits # Full path to disp map. Alternatively, just the filename if 'datadir' is set.\n", "fdata_derr, GS4_43501_Ha_dm_err.fits # Full path to disp. err map. Alternatively, just the filename if 'datadir' is set.\n", "fdata_mask, GS4_43501_Ha_m.fits # Full path to mask\n", " # -- strongly recommended to have a mask\n", " # Alternatively, just the filename if 'datadir' is set.\n", "data_inst_corr, True\n", "symmetrize_data, False # Symmetrize data before fitting?\n", "\n", "smoothing_type, median # Is the data median smoothed\n", " # before extracting maps?\n", "smoothing_npix, 3 # Number of pixels for smoothing aperture\n", "\n", "## GALAXY CENTER:\n", "# IMPORTANT: 0 indexed, so coordinates go from [0, nX-1] and [0, nY-1].\n", "# So if using QFitsView, will need to subtract 1 from both coords (as QFitsView goes from [1,nX] and [1,nY])\n", "xcenter, None # Center position in maps, x coord. Default: (nX-1)/2.\n", "ycenter, None # Center position in maps, y coord. Default: (nY-1)/2.\n", "\n", "\n", "# ***************************** OUTPUT *****************************************\n", "outdir, GS4_43501_2D_out/ # Full path for output directory\n", "\n", "\n", "# ***************************** OBSERVATION SETUP ******************************\n", "\n", "# Instrument Setup\n", "# ------------------\n", "pixscale, 0.125 # Pixel scale in arcsec/pixel\n", "fov_npix, 37 # Number of pixels on a side of model cube\n", "spec_type, velocity # DON'T CHANGE!\n", "spec_start, -1000. # Starting value for spectral axis // generally don't change\n", "spec_step, 10. # Step size for spectral axis in km/s // generally don't change\n", "nspec, 201 # Number of spectral steps // generally don't change\n", "\n", "# LSF Setup\n", "# ---------\n", "use_lsf, True # True/False if using an LSF\n", "sig_inst_res, 51.0 # Instrumental dispersion in km/s\n", "\n", "\n", "# PSF Setup\n", "# ---------\n", "psf_type, Gaussian # Gaussian, Moffat, or DoubleGaussian\n", "psf_fwhm, 0.55 # PSF FWHM in arcsecs\n", "psf_beta, -99. # Beta parameter for a Moffat PSF\n", "\n", "# ## ELLIPTICAL PSF:\n", "# psf_type, Gaussian # Gaussian, Moffat, or DoubleGaussian\n", "# psf_fwhm_major, 0.55 # PSF major axis FWHM in arcsecs\n", "# psf_fwhm_minor, 0.25 # PSF minor axis FWHM in arcsecs\n", "# psf_PA, 0. # PA of PSF major axis, in deg E of N. (0=N, 90=E)\n", "# psf_beta, -99. # Beta parameter for a Moffat PSF\n", "\n", "# # DoubleGaussian: settings instead of psf_fwhm\n", "# psf_type, DoubleGaussian\n", "# psf_fwhm1, 0.16 # FWHM of PSF component 1, in arcsecs. SINFONI AO: 0.16\n", "# psf_fwhm2, 0.48 # FWHM of PSF component 1, in arcsecs. SINFONI AO: 0.48\n", "# psf_scale1, 0.368 # Flux scaling (*not* peak height) of component 1. SINFONI AO: 0.368\n", "# psf_scale2, 0.632 # Flux scaling (*not* peak height) of component 2. SINFONI AO: 0.632\n", "\n", "\n", "# **************************** SETUP MODEL *************************************\n", "\n", "# Model Settings\n", "# -------------\n", "# List of components to use: SEPARATE WITH SPACES\n", "## MUST always keep: geometry zheight_gaus\n", "## RECOMMENDED: always keep: disk+bulge const_disp_prof\n", "components_list, disk+bulge const_disp_prof geometry zheight_gaus halo\n", "\n", "# possible options:\n", "# disk+bulge, sersic, blackhole\n", "# const_disp_prof, geometry, zheight_gaus, halo,\n", "# radial_flow, uniform_planar_radial_flow, uniform_bar_flow, uniform_wedge_flow,\n", "# unresolved_outflow, biconical_outflow,\n", "# CAUTION: azimuthal_planar_radial_flow, variable_bar_flow, spiral_flow\n", "\n", "# List of components that emit light. SEPARATE WITH SPACES\n", "## Current options: disk+bulge / bulge / disk [corresponding to the mass disk+bulge component],\n", "## also: light_sersic, light_gaussian_ring\n", "light_components_list, disk\n", "# NOTE: if a separate light profile (eg light_sersic) is used,\n", "# this MUST be changed to e.g., 'light_components_list, light_sersic'\n", "\n", "adiabatic_contract, False # Apply adiabatic contraction?\n", "pressure_support, True # Apply assymmetric drift correction?\n", "noord_flat, True # Apply Noordermeer flattenning?\n", "oversample, 1 # Spatial oversample factor\n", "oversize, 1 # Oversize factor\n", "\n", "moment_calc, False # If False, observed maps fit with GAUSSIANS\n", "\n", "zcalc_truncate, True # Truncate in zgal direction when calculating or not\n", "n_wholepix_z_min, 3 # Minimum number of whole pixels in zgal dir, if zcalc_truncate=True\n", "\n", "\n", "# ********************************************************************************\n", "# DISK + BULGE\n", "# ------------\n", "\n", "# Initial Values\n", "total_mass, 11.0 # Total mass of disk and bulge log(Msun)\n", "bt, 0.3 # Bulge-to-Total Ratio\n", "r_eff_disk, 5.0 # Effective radius of disk in kpc\n", "n_disk, 1.0 # Sersic index for disk\n", "invq_disk, 5.0 # disk scale length to zheight ratio for disk\n", "\n", "n_bulge, 4.0 # Sersic index for bulge\n", "invq_bulge, 1.0 # disk scale length to zheight ratio for bulge\n", "r_eff_bulge, 1.0 # Effective radius of bulge in kpc\n", "\n", "# Fixed? True if its a fixed parameter, False otherwise\n", "total_mass_fixed, False\n", "r_eff_disk_fixed, False\n", "\n", "bt_fixed, True\n", "n_disk_fixed, True\n", "r_eff_bulge_fixed, True\n", "n_bulge_fixed, True\n", "\n", "# Parameter bounds. Lower and upper bounds\n", "total_mass_bounds, 10.0 13.0\n", "bt_bounds, 0.0 1.0\n", "r_eff_disk_bounds, 0.1 30.0\n", "n_disk_bounds, 1.0 8.0\n", "r_eff_bulge_bounds, 1.0 5.0\n", "n_bulge_bounds, 1.0 8.0\n", "\n", "\n", "\n", "# # ********************************************************************************\n", "# # BLACK HOLE\n", "# # ------------\n", "#\n", "# # Initial Values\n", "# BH_mass, 11. # log(Msun)\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise\n", "# BH_mass_fixed, False\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# BH_mass_bounds, 6. 18.\n", "\n", "\n", "\n", "\n", "# # ********************************************************************************\n", "# # Separate light profile: (Truncated) Sersic profile\n", "# # ------------\n", "# # Initial values\n", "# L_tot_sersic, 1. # arbitrary units\n", "# lr_eff, 4. # kpc\n", "# lsersic_n, 1. # Sersic index of light profile\n", "# lsersic_rinner, 0. # [kpc] Inner truncation radius of sersic profile. 0 = no truncation\n", "# lsersic_router, inf # [kpc] Outer truncation radius of sersic profile. inf = no truncation\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise\n", "# L_tot_sersic_fixed, True\n", "# lr_eff_fixed, False\n", "# lsersic_n_fixed, True\n", "# lsersic_rinner_fixed, True\n", "# lsersic_router_fixed, True\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# L_tot_sersic_bounds, 0. 2. # arbitrary units\n", "# lr_eff_bounds, 0.5 15. # kpc\n", "# lsersic_n_bounds, 0.5 8.\n", "# lsersic_rinner_bounds, 0. 5.\t # kpc\n", "# lsersic_router_bounds, 4. 20. # kpc\n", "\n", "\n", "# # ********************************************************************************\n", "# # Separate light profile: Gaussian ring\n", "# # ------------\n", "# # Initial values\n", "# L_tot_gaus_ring, 1. # arbitrary units\n", "# R_peak_gaus_ring, 6. # kpc\n", "# FWHM_gaus_ring, 1. # kpc\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise\n", "# L_tot_gaus_ring_fixed, True\n", "# R_peak_gaus_ring_fixed, True\n", "# FWHM_gaus_ring_fixed, True\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# L_tot_gaus_ring_bounds, 0. 2. # arbitrary units\n", "# R_peak_gaus_ring_bounds, 0. 15. # kpc\n", "# FWHM_gaus_ring_bounds, 0.1 10. # kpc\n", "\n", "\n", "\n", "\n", "# ********************************************************************************\n", "# ********************************************************************************\n", "# ********************************************************************************\n", "# DARK MATTER HALO\n", "# ----------------\n", "\n", "# Halo type: options: NFW / twopowerhalo / burkert / einasto / dekelzhao\n", "halo_profile_type, NFW\n", "\n", "# ** NOTE **: Uncomment the section below corresponding to the selected halo type.\n", "\n", "# ********************************************************************************\n", "# NFW halo\n", "\n", "# Initial Values\n", "mvirial, 11.0 # Halo virial mass in log(Msun)\n", "halo_conc, 5.0 # Halo concentration parameter\n", "fdm, 0.5 # Dark matter fraction at r_eff_disk\n", "\n", "# Fixed? True if its a fixed parameter, False otherwise. Also set False if it will be tied (below)\n", "mvirial_fixed, True\n", "halo_conc_fixed, True\n", "fdm_fixed, False\n", "\n", "# Parameter bounds. Lower and upper bounds\n", "mvirial_bounds, 10.0 13.0\n", "halo_conc_bounds, 1.0 20.0\n", "fdm_bounds, 0.0 1.0\n", "\n", "# Tie the parameters?\n", "fdm_tied, True # for NFW, fdm_tied=True determines fDM from Mvirial (+baryons)\n", "mvirial_tied, False # for NFW, mvirial_tied=True determines Mvirial from fDM (+baryons)\n", "# ********************************************************************************\n", "\n", "# # ********************************************************************************\n", "# # Two-power halo\n", "#\n", "# # Initial Values\n", "# mvirial, 11.5 # Halo virial mass in log(Msun)\n", "# halo_conc, 5.0 # Halo concentration parameter\n", "# fdm, 0.5 # Dark matter fraction at r_eff_disk\n", "# alpha, 1. # TPH: inner slope. NFW has alpha=1\n", "# beta, 3. # TPH: outer slope. NFW has beta=3\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise. Also set False if it will be tied (below)\n", "# mvirial_fixed, False\n", "# halo_conc_fixed, True\n", "# fdm_fixed, False\n", "# alpha_fixed, False\n", "# beta_fixed, True\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# mvirial_bounds, 10.0 13.0\n", "# halo_conc_bounds, 1.0 20.0\n", "# fdm_bounds, 0.0 1.0\n", "# alpha_bounds, 0.0 3.0\n", "# beta_bounds, 1.0 4.0\n", "#\n", "# # Tie the parameters?\n", "# fdm_tied, True # for non-NFW, fdm_tied=True determines fDM from other halo params (+baryons)\n", "# mvirial_tied, True # for non-NFW, mvirial_tied=True determines Mvirial from SMHM+fgas + baryon total_mass\n", "# alpha_tied, False # for TPH, alpha_tied=True determines alpha from free fDM + other parameters.\n", "#\n", "# ### OTHER SETTINGS:\n", "# mhalo_relation, Moster18 ## SMHM relation to use for tying Mvir to Mbar. options: Moster18 / Behroozi13\n", "#\n", "# fgas, 0.5 # Gas fraction for SMHM inference of Mvir if 'mvirial_tied=True'\n", "# lmstar, -99. # Currently code uses fgas to infer lmstar\n", "# # from fitting baryon total_mass for SMHM relation\n", "# # ********************************************************************************\n", "\n", "# # ********************************************************************************\n", "# # Burkert halo\n", "#\n", "# # Initial Values\n", "# mvirial, 11.5 # Halo virial mass in log(Msun)\n", "# halo_conc, 5.0 # Halo concentration parameter\n", "# fdm, 0.5 # Dark matter fraction at r_eff_disk\n", "# rB, 10. # Burkert: Halo core radius, in kpc\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise. Also set False if it will be tied (below)\n", "# mvirial_fixed, False\n", "# halo_conc_fixed, True\n", "# fdm_fixed, False\n", "# rB_fixed, False\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# mvirial_bounds, 10.0 13.0\n", "# halo_conc_bounds, 1.0 20.0\n", "# fdm_bounds, 0.0 1.0\n", "# rB_bounds, 1.0 20.0\n", "#\n", "# # Tie the parameters?\n", "# fdm_tied, True # for non-NFW, fdm_tied=True determines fDM from other halo params (+baryons)\n", "# mvirial_tied, True # for non-NFW, mvirial_tied=True determines Mvirial from SMHM+fgas + baryon total_mass\n", "# rB_tied, False # for Burkert, rB_tied=True determines rB from free fDM + other parameters.\n", "#\n", "# ### OTHER SETTINGS:\n", "# mhalo_relation, Moster18 ## SMHM relation to use for tying Mvir to Mbar. options: Moster18 / Behroozi13\n", "#\n", "# fgas, 0.5 # Gas fraction for SMHM inference of Mvir if 'mvirial_tied=True'\n", "# lmstar, -99. # Currently code uses fgas to infer lmstar\n", "# # from fitting baryon total_mass for SMHM relation\n", "# # ********************************************************************************\n", "\n", "# # ********************************************************************************\n", "# # Einasto halo\n", "# # Initial Values\n", "# mvirial, 11.5 # Halo virial mass in log(Msun)\n", "# halo_conc, 5.0 # Halo concentration parameter\n", "# fdm, 0.5 # Dark matter fraction at r_eff_disk\n", "# alphaEinasto, 1. # Einasto: Halo profile index\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise. Also set False if it will be tied (below)\n", "# mvirial_fixed, False\n", "# halo_conc_fixed, True\n", "# fdm_fixed, False\n", "# alphaEinasto_fixed, False\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# mvirial_bounds, 10.0 13.0\n", "# halo_conc_bounds, 1.0 20.0\n", "# fdm_bounds, 0.0 1.0\n", "# alphaEinasto_bounds, 0.0 2.0\n", "#\n", "# # Tie the parameters?\n", "# fdm_tied, True # for non-NFW, fdm_tied=True determines fDM from other halo params (+baryons)\n", "# mvirial_tied, True # for non-NFW, mvirial_tied=True determines Mvirial from SMHM+fgas + baryon total_mass\n", "# alphaEinasto_tied, False # for Einasto, alphaEinasto_tied=True determines alphaEinasto from free fDM + other params.\n", "#\n", "# ### OTHER SETTINGS:\n", "# mhalo_relation, Moster18 ## SMHM relation to use for tying Mvir to Mbar. options: Moster18 / Behroozi13\n", "#\n", "# fgas, 0.5 # Gas fraction for SMHM inference of Mvir if 'mvirial_tied=True'\n", "# lmstar, -99. # Currently code uses fgas to infer lmstar\n", "# # from fitting baryon total_mass for SMHM relation\n", "# # ********************************************************************************\n", "\n", "\n", "# # ********************************************************************************\n", "# # Dekel-Zhao halo\n", "# # Initial Values\n", "# mvirial, 12.0 # Halo virial mass in log(Msun)\n", "# s1, 1.5 # Inner logarithmic slope (at resolution r1=0.01*Rvir)\n", "# c2, 25.0 # Concentration parameter (defined relative to c, a)\n", "# fdm, 0.5 # Dark matter fraction at r_eff_disk\n", "#\n", "# # Fixed? True if its a fixed parameter, False otherwise. Also set False if it will be tied (below)\n", "# mvirial_fixed, False\n", "# s1_fixed, False\n", "# c2_fixed, False\n", "# fdm_fixed, False\n", "#\n", "# # Parameter bounds. Lower and upper bounds\n", "# mvirial_bounds, 10.0 13.0 # log(Msun)\n", "# s1_bounds, 0.0 2.0\n", "# c2_bounds, 0.0 40.0\n", "# fdm_bounds, 0.0 1.0\n", "#\n", "# # Tie the parameters?\n", "# mvirial_tied, True # mvirial_tied=True determines Mvirial from fDM, s1, c2.\n", "# s1_tied, True # Tie the s1 to M*/Mvir using best-fit Freundlich+20 (Eqs 45, 47, 48, Table 1)\n", "# c2_tied, True # Tie the c2 to M*/Mvir using best-fit Freundlich+20 (Eqs 47, 49, Table 1)\n", "# fdm_tied, False # for non-NFW, fdm_tied=True determines fDM from other halo params (+baryons)\n", "#\n", "# ### OTHER SETTINGS:\n", "# lmstar, 10.5 # Used to infer s1, c2 if s1_tied or c2_tied = True\n", "#\n", "# # ********************************************************************************\n", "\n", "\n", "# ********************************************************************************\n", "# INTRINSIC DISPERSION PROFILE\n", "# ------------------\n", "\n", "# Initial Values\n", "sigma0, 39.0 # Constant intrinsic dispersion value\n", "\n", "# Fixed? True if its a fixed parameter, False otherwise\n", "sigma0_fixed, False\n", "\n", "# Parameter bounds. Lower and upper bounds\n", "sigma0_bounds, 5.0 300.0\n", "\n", "\n", "\n", "# ********************************************************************************\n", "# ********************************************************************************\n", "# ********************************************************************************\n", "# HIGHER ORDER COMPONENTS: INFLOW, OUTFLOW\n", "# ----------------------------------------\n", "\n", "# # ********************************************************************************\n", "# # UNIFORM SPHERICAL RADIAL FLOW -- in rhat direction in spherical coordinates\n", "# # radial_flow\n", "# # -------------------\n", "#\n", "# vr, -90. # Radial flow [km/s]. Positive: Outflow. Negative: Inflow.\n", "\n", "\n", "# # ********************************************************************************\n", "# # UNIFORM PLANAR RADIAL FLOW -- in Rhat direction in cylindrical coordinates\n", "# # (eg, radial in galaxy midplane)\n", "# # uniform_planar_radial_flow\n", "# # -------------------\n", "#\n", "# vr, -90. # Radial flow [km/s]. Positive: Outflow. Negative: Inflow.\n", "\n", "\n", "# # ********************************************************************************\n", "# # UNIFORM BAR FLOW -- in xhat direction along bar in cartesian coordinates,\n", "# # with bar at an angle relative to galaxy major axis (blue)\n", "# # uniform_bar_flow\n", "# # -------------------\n", "#\n", "# vbar, -90. # Bar flow [km/s]. Positive: Outflow. Negative: Inflow.\n", "# phi, 90. # Azimuthal angle of bar [degrees], counter-clockwise from blue major axis.\n", "# # Default is 90 (eg, along galaxy minor axis)\n", "# bar_width, 2 # Width of the bar perpendicular to bar direction.\n", "# # Bar velocity only is nonzero between -bar_width/2 < ygal < bar_width/2.\n", "\n", "\n", "# # ********************************************************************************\n", "# # UNIFORM WEDGE FLOW -- in planar radial flow in cylindrical coordinates, restricted to pos, neg wedges\n", "# # uniform_wedge_flow\n", "# # -------------------\n", "#\n", "# vr, -90. # Radial flow [km/s]. Positive: Outflow. Negative: Inflow.\n", "# theta, 60. # Opening angle of wedge [deg]. (the full angular span)\n", "# phi, 90. # Angle offset relative to the galaxy angle, so the wedge center is at phi.\n", "# # Default: 90 deg, so centered along minor axis\n", "\n", "\n", "# # ********************************************************************************\n", "# # UNRESOLVED OUTFLOW -- at galaxy center (ie, AGN unresolved outflow)\n", "# # unresolved_outflow\n", "# # -------------------\n", "#\n", "# vcenter, 0. # Central velocity of the Gaussian in km/s\n", "# fwhm, 1000. # FWHM of the Gaussian in km/s\n", "# amplitude, 1.e12 # Amplitude of the Gaussian, for flux in ~M/L=1 luminosity units\n", "# # with the dimming applied ... roughly ....\n", "\n", "\n", "# # ********************************************************************************\n", "# # BICONICAL OUTFLOW\n", "# # biconical_outflow\n", "# # -------------------\n", "#\n", "# n, 0.5 # Power law index\n", "# vmax, 500. # Maximum velocity of the outflow in km/s\n", "# rturn, 5. # Turn-over radius in kpc of the velocty profile\n", "# thetain, 30. # Half inner opening angle in degrees. Measured from the bicone axis\n", "# dtheta, 20. # Difference between inner and outer opening angle in degrees\n", "# rend, 10. # Maximum radius of the outflow in kpc\n", "# norm_flux, 8. # Log flux amplitude of the outflow at r = 0.\n", "# # Need to check dimming/flux conventions\n", "# tau_flux, 1. # Exponential decay rate of the flux\n", "# biconical_profile_type, both # Type of velocity profile:\n", "# # 'both', 'increase', 'decrease', 'constant'\n", "# biconical_outflow_dispersion, 80. # Dispersion (stddev of gaussian) of biconical outflow, km/s\n", "\n", "\n", "# # ********************************************************************************\n", "# # VARIABLE BAR FLOW -- in xhat direction along bar in cartesian coordinates,\n", "# # with bar at an angle relative to galaxy major axis (blue)\n", "# # CAUTION!!!\n", "# # variable_bar_flow\n", "# # -------------------\n", "#\n", "# vbar_func_bar_flow, -90.*np.exp(-R/5.) # Bar flow FUNCTION [km/s]. Positive: Outflow. Negative: Inflow.\n", "# phi, 90. # Azimuthal angle of bar [degrees], counter-clockwise from blue major axis.\n", "# # Default is 90 (eg, along galaxy minor axis)\n", "# bar_width, 2 # Width of the bar perpendicular to bar direction.\n", "# # Bar velocity only is nonzero between -bar_width/2 < ygal < bar_width/2.\n", "\n", "\n", "# # ********************************************************************************\n", "# # AZIMUTHAL PLANAR RADIAL FLOW -- in Rhat direction in cylindrical coordinates\n", "# # (eg, radial in galaxy midplane), with an added azimuthal term\n", "# # CAUTION!!!\n", "# # azimuthal_planar_radial_flow\n", "# # -------------------\n", "#\n", "# vr_func_azimuthal_planar_flow, -90.*np.exp(-R/5.) # Radial flow [km/s].\n", "# # Positive: Outflow. Negative: Inflow.\n", "# m, 2 # Number of modes in the azimuthal pattern. m=0 gives a purely radial profile.\n", "# phi0, 0. # Angle offset relative to the galaxy angle [deg],\n", "# # so the azimuthal variation goes as cos(m(phi_gal - phi0))\n", "\n", "\n", "\n", "# # ********************************************************************************\n", "# # SPIRAL DENSIY WAVE FLOW -- as in Davies et al. 2009, ApJ, 702, 114\n", "# # Here assuming CONSTANT velocity -- try to match real Vrot...\n", "# # CAUTION!!! NO SPACES IN FUNCTION DEFINITONS!\n", "# # spiral_flow\n", "# # -------------------\n", "#\n", "# Vrot_func_spiral_flow, 150.+0.*R # Unperturbed rotation velocity of the galaxy\n", "# dVrot_dR_func_spiral_flow, 0.*R # Derivative of Vrot(R) -- ideally evaluated analytically, otherwise very slow.\n", "# rho0_func_spiral_flow, 1.e11*np.exp(-R/5.) # Unperturbed midplane density profile of the galaxy\n", "# f_func_spiral_flow, (np.sqrt(m**2-2.)*Vrot(R)/cs)*np.log(R) # Function describing the spiral shape, m*phi = f(R)\n", "# # with k = df/dR\n", "# k_func_spiral_flow, (np.sqrt(m**2-2.)*Vrot(R)/cs)/R # Function for radial wavenumber\n", "#\n", "# m, 2 # Number of photometric/density spiral arms.\n", "# cs, 10. # Sound speed of medium, in km/s.\n", "# epsilon, 1. # Density contrast of perturbation (unitless).\n", "# Om_p, 0. # Angular speed of the driving force, Omega_p\n", "# phi0, 0. # Angle offset of the arm winding, in degrees. Default: 0.\n", "\n", "\n", "# ********************************************************************************\n", "# ********************************************************************************\n", "# ********************************************************************************\n", "\n", "\n", "# ********************************************************************************\n", "# ZHEIGHT PROFILE\n", "# ---------------\n", "\n", "# Initial Values\n", "sigmaz, 0.9 # Gaussian width of the galaxy in z, in kpc\n", "\n", "# Fixed? True if its a fixed parameter, False otherwise\n", "sigmaz_fixed, False\n", "\n", "# Parameter bounds. Lower and upper bounds\n", "sigmaz_bounds, 0.1 1.0\n", "\n", "\n", "# Tie the zheight to the effective radius of the disk?\n", "# If set to True, make sure sigmaz_fixed is False\n", "zheight_tied, True\n", "\n", "\n", "# GEOMETRY\n", "# --------\n", "\n", "# Initial Values\n", "inc, 72. # Inclination of galaxy, 0=face-on, 90=edge-on\n", "pa, 145.\n", "xshift, 0. # pixels\n", "yshift, -0.13 # pixels\n", "vel_shift, 0. # km/s\n", "\n", "# Fixed? True if its a fixed parameter, False otherwise\n", "inc_fixed, False\n", "pa_fixed, False\n", "xshift_fixed, False\n", "yshift_fixed, False\n", "vel_shift_fixed, False\n", "\n", "# Parameter bounds. Lower and upper bounds\n", "inc_bounds, 42. 82.\n", "pa_bounds, 132. 152.\n", "xshift_bounds, -1.5 1.5 # pixels\n", "yshift_bounds, -1.5 1.5 # pixels\n", "vel_shift_bounds, -100. 100. # km/s\n", "\n", "\n", "\n", "# **************************** Fitting Settings ********************************\n", "\n", "fit_method, mpfit # mcmc, nested, or mpfit\n", "\n", "do_plotting, True # Produce all output plots?\n", "\n", "fitdispersion, True # Simultaneously fit the velocity and dispersion?\n", "fitflux, False # Also fit for the flux?\n", "\n", "\n", "# MPFIT Settings\n", "#----------------\n", "maxiter, 200 # Maximum number of iterations before mpfit quits\n", "\n" ] } ], "source": [ "with open(param_filename, 'r') as f:\n", " print(f.read())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Add some settings for this notebook example:**" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "plot_type = 'png'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "---------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Run `Dysmalpy` fitting: 2D wrapper, with fit method= MPFIT ##" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "INFO:DysmalPy:dysmalpy.Galaxy:\n", "********************************************************************\n", "*** INFO ***\n", "instrument.fov[0,1]=(37,37) is being reset to match 2D maps (27, 27)\n", "********************************************************************\n", "\n", "INFO:DysmalPy:*************************************\n", "INFO:DysmalPy: Fitting: GS4_43501 using MPFIT\n", "INFO:DysmalPy: obs: OBS\n", "INFO:DysmalPy: velocity file: /Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/tests/test_data/GS4_43501_Ha_vm.fits\n", "INFO:DysmalPy: dispers. file: /Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/tests/test_data/GS4_43501_Ha_dm.fits\n", "INFO:DysmalPy: nSubpixels: 1\n", "INFO:DysmalPy: mvirial_tied: False\n", "INFO:DysmalPy:\n", "MPFIT Fitting:\n", "Start: 2024-11-04 15:59:59.073699\n", "\n", "INFO:DysmalPy:Iter 1 CHI-SQUARE = 4863.95731 DOF = 404\n", " disk+bulge:total_mass = 11 \n", " disk+bulge:r_eff_disk = 5 \n", " dispprof_LINE:sigma0 = 39 \n", " geom_1:inc = 72 \n", " geom_1:pa = 145 \n", " geom_1:xshift = 0 \n", " geom_1:yshift = -0.13 \n", " geom_1:vel_shift = 0 \n", "\n", "INFO:DysmalPy:Iter 2 CHI-SQUARE = 3391.858655 DOF = 404\n", " disk+bulge:total_mass = 11.02256749 \n", " disk+bulge:r_eff_disk = 6.314016605 \n", " dispprof_LINE:sigma0 = 33.36135137 \n", " geom_1:inc = 80.1969795 \n", " geom_1:pa = 144.0786096 \n", " geom_1:xshift = -0.3915117315 \n", " geom_1:yshift = -0.2053268919 \n", " geom_1:vel_shift = 0.470343974 \n", "\n", "INFO:DysmalPy:Iter 3 CHI-SQUARE = 3070.291053 DOF = 404\n", " disk+bulge:total_mass = 11.17493291 \n", " disk+bulge:r_eff_disk = 8.822236059 \n", " dispprof_LINE:sigma0 = 28.7835928 \n", " geom_1:inc = 79.525108 \n", " geom_1:pa = 143.0253885 \n", " geom_1:xshift = -0.4590096803 \n", " geom_1:yshift = -0.2284259521 \n", " geom_1:vel_shift = 0.3610861955 \n", "\n", "INFO:DysmalPy:Iter 4 CHI-SQUARE = 2124.533719 DOF = 404\n", " disk+bulge:total_mass = 11.23876486 \n", " disk+bulge:r_eff_disk = 10.84611558 \n", " dispprof_LINE:sigma0 = 26.41974081 \n", " geom_1:inc = 78.24159899 \n", " geom_1:pa = 144.0666743 \n", " geom_1:xshift = -0.5126667736 \n", " geom_1:yshift = -0.5584810651 \n", " geom_1:vel_shift = 0.8034814807 \n", "\n", "INFO:DysmalPy:Iter 5 CHI-SQUARE = 1858.95427 DOF = 404\n", " disk+bulge:total_mass = 11.22284368 \n", " disk+bulge:r_eff_disk = 10.55852661 \n", " dispprof_LINE:sigma0 = 26.95611728 \n", " geom_1:inc = 77.02489459 \n", " geom_1:pa = 145.2829668 \n", " geom_1:xshift = -0.5206432527 \n", " geom_1:yshift = -0.8504292774 \n", " geom_1:vel_shift = 1.037174844 \n", "\n", "INFO:DysmalPy:Iter 6 CHI-SQUARE = 1799.964493 DOF = 404\n", " disk+bulge:total_mass = 11.24931363 \n", " disk+bulge:r_eff_disk = 11.37911566 \n", " dispprof_LINE:sigma0 = 26.63716887 \n", " geom_1:inc = 77.25523512 \n", " geom_1:pa = 146.549937 \n", " geom_1:xshift = -0.3864614764 \n", " geom_1:yshift = -0.9338220054 \n", " geom_1:vel_shift = 0.9299774842 \n", "\n", "INFO:DysmalPy:Iter 7 CHI-SQUARE = 1755.790678 DOF = 404\n", " disk+bulge:total_mass = 11.23880745 \n", " disk+bulge:r_eff_disk = 11.10273218 \n", " dispprof_LINE:sigma0 = 24.51821952 \n", " geom_1:inc = 76.93602404 \n", " geom_1:pa = 146.1685048 \n", " geom_1:xshift = -0.1835254312 \n", " geom_1:yshift = -1.073486741 \n", " geom_1:vel_shift = 0.7280803198 \n", "\n", "INFO:DysmalPy:Iter 8 CHI-SQUARE = 1755.033023 DOF = 404\n", " disk+bulge:total_mass = 11.24050004 \n", " disk+bulge:r_eff_disk = 11.11478921 \n", " dispprof_LINE:sigma0 = 24.69401168 \n", " geom_1:inc = 76.63700138 \n", " geom_1:pa = 146.7513809 \n", " geom_1:xshift = -0.1953901937 \n", " geom_1:yshift = -1.070126186 \n", " geom_1:vel_shift = 0.7261058258 \n", "\n", "INFO:DysmalPy:Iter 9 CHI-SQUARE = 1750.217717 DOF = 404\n", " disk+bulge:total_mass = 11.24061494 \n", " disk+bulge:r_eff_disk = 11.11607529 \n", " dispprof_LINE:sigma0 = 25.01605169 \n", " geom_1:inc = 76.67592341 \n", " geom_1:pa = 146.7793715 \n", " geom_1:xshift = -0.185203532 \n", " geom_1:yshift = -1.070160913 \n", " geom_1:vel_shift = 0.7289132677 \n", "\n", "INFO:DysmalPy:Iter 10 CHI-SQUARE = 1750.082449 DOF = 404\n", " disk+bulge:total_mass = 11.24063747 \n", " disk+bulge:r_eff_disk = 11.11622614 \n", " dispprof_LINE:sigma0 = 25.11113924 \n", " geom_1:inc = 76.67072013 \n", " geom_1:pa = 146.7774838 \n", " geom_1:xshift = -0.1858546538 \n", " geom_1:yshift = -1.070151373 \n", " geom_1:vel_shift = 0.7287818672 \n", "\n", "INFO:DysmalPy:Iter 11 CHI-SQUARE = 1750.022426 DOF = 404\n", " disk+bulge:total_mass = 11.24064704 \n", " disk+bulge:r_eff_disk = 11.11627646 \n", " dispprof_LINE:sigma0 = 25.12610883 \n", " geom_1:inc = 76.66746622 \n", " geom_1:pa = 146.7783321 \n", " geom_1:xshift = -0.1858525364 \n", " geom_1:yshift = -1.070192788 \n", " geom_1:vel_shift = 0.7289287385 \n", "\n", "INFO:DysmalPy:Iter 12 CHI-SQUARE = 1749.878728 DOF = 404\n", " disk+bulge:total_mass = 11.24065361 \n", " disk+bulge:r_eff_disk = 11.11629826 \n", " dispprof_LINE:sigma0 = 25.15805123 \n", " geom_1:inc = 76.6668677 \n", " geom_1:pa = 146.7786316 \n", " geom_1:xshift = -0.1856982592 \n", " geom_1:yshift = -1.070196524 \n", " geom_1:vel_shift = 0.7289823194 \n", "\n", "INFO:DysmalPy:Iter 13 CHI-SQUARE = 1749.864321 DOF = 404\n", " disk+bulge:total_mass = 11.24065464 \n", " disk+bulge:r_eff_disk = 11.11629646 \n", " dispprof_LINE:sigma0 = 25.16055143 \n", " geom_1:inc = 76.66647618 \n", " geom_1:pa = 146.7787255 \n", " geom_1:xshift = -0.1856770347 \n", " geom_1:yshift = -1.070198525 \n", " geom_1:vel_shift = 0.7289948036 \n", "\n", "INFO:DysmalPy:Iter 14 CHI-SQUARE = 1749.835605 DOF = 404\n", " disk+bulge:total_mass = 11.24065611 \n", " disk+bulge:r_eff_disk = 11.11628035 \n", " dispprof_LINE:sigma0 = 25.16788657 \n", " geom_1:inc = 76.66603205 \n", " geom_1:pa = 146.7790628 \n", " geom_1:xshift = -0.185658349 \n", " geom_1:yshift = -1.070197881 \n", " geom_1:vel_shift = 0.7290073537 \n", "\n", "INFO:DysmalPy:Iter 15 CHI-SQUARE = 1749.806514 DOF = 404\n", " disk+bulge:total_mass = 11.24065803 \n", " disk+bulge:r_eff_disk = 11.11632404 \n", " dispprof_LINE:sigma0 = 25.17372288 \n", " geom_1:inc = 76.66555138 \n", " geom_1:pa = 146.7795419 \n", " geom_1:xshift = -0.1856254474 \n", " geom_1:yshift = -1.070213453 \n", " geom_1:vel_shift = 0.7290327874 \n", "\n", "INFO:DysmalPy:Iter 16 CHI-SQUARE = 1749.801064 DOF = 404\n", " disk+bulge:total_mass = 11.2406584 \n", " disk+bulge:r_eff_disk = 11.1163272 \n", " dispprof_LINE:sigma0 = 25.17472982 \n", " geom_1:inc = 76.6652504 \n", " geom_1:pa = 146.7795455 \n", " geom_1:xshift = -0.185617335 \n", " geom_1:yshift = -1.070215226 \n", " geom_1:vel_shift = 0.7290310108 \n", "\n", "INFO:DysmalPy:Iter 17 CHI-SQUARE = 1749.793622 DOF = 404\n", " disk+bulge:total_mass = 11.24065907 \n", " disk+bulge:r_eff_disk = 11.11632529 \n", " dispprof_LINE:sigma0 = 25.17763378 \n", " geom_1:inc = 76.66499883 \n", " geom_1:pa = 146.7796311 \n", " geom_1:xshift = -0.1856239212 \n", " geom_1:yshift = -1.070220109 \n", " geom_1:vel_shift = 0.7290276926 \n", "\n", "INFO:DysmalPy:Iter 18 CHI-SQUARE = 1749.782348 DOF = 404\n", " disk+bulge:total_mass = 11.24066023 \n", " disk+bulge:r_eff_disk = 11.11631647 \n", " dispprof_LINE:sigma0 = 25.18002597 \n", " geom_1:inc = 76.66412292 \n", " geom_1:pa = 146.779641 \n", " geom_1:xshift = -0.1856137391 \n", " geom_1:yshift = -1.070225286 \n", " geom_1:vel_shift = 0.729034287 \n", "\n", "INFO:DysmalPy:Iter 19 CHI-SQUARE = 1749.760549 DOF = 404\n", " disk+bulge:total_mass = 11.24066182 \n", " disk+bulge:r_eff_disk = 11.11635545 \n", " dispprof_LINE:sigma0 = 25.18380674 \n", " geom_1:inc = 76.6633357 \n", " geom_1:pa = 146.7797417 \n", " geom_1:xshift = -0.1855873429 \n", " geom_1:yshift = -1.070223568 \n", " geom_1:vel_shift = 0.7290825612 \n", "\n", "INFO:DysmalPy:Iter 20 CHI-SQUARE = 1749.756106 DOF = 404\n", " disk+bulge:total_mass = 11.24066218 \n", " disk+bulge:r_eff_disk = 11.11635462 \n", " dispprof_LINE:sigma0 = 25.18491728 \n", " geom_1:inc = 76.66313876 \n", " geom_1:pa = 146.7798613 \n", " geom_1:xshift = -0.185584283 \n", " geom_1:yshift = -1.070222421 \n", " geom_1:vel_shift = 0.7290837185 \n", "\n", "INFO:DysmalPy:\n", "End: 2024-11-04 16:00:11.117629\n", "\n", "******************\n", "Time= 12.04 (sec), 0:12.04 (m:s)\n", "MPFIT Status = 2\n", "MPFIT Error/Warning Message = None\n", "******************\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "------------------------------------------------------------------\n", " Dysmalpy MPFIT fitting complete for: GS4_43501\n", " output folder: /Users/jespejo/Dropbox/Postdoc/Data/dysmalpy_test_examples/JUPYTER_OUTPUT_2D_FITTING_WRAPPER/MPFIT/\n", "------------------------------------------------------------------\n", " \n" ] } ], "source": [ "dysmalpy_fit_single.dysmalpy_fit_single(param_filename=param_filename, \n", " datadir=datadir, outdir=outdir_mpfit, \n", " plot_type='png', overwrite=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Examine results ##" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Result plots ###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Read in parameter file**" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "params = utils_io.read_fitting_params(fname=param_filename)\n", "\n", "# Override data + output paths:\n", "params['datadir'] = datadir\n", "params['outdir'] = outdir_mpfit\n", "\n", "# Add the plot type:\n", "params['plot_type'] = plot_type\n", "\n", "\n", "f_galmodel = params['outdir'] + '{}_model.pickle'.format(params['galID'])\n", "f_results = params['outdir'] + '{}_{}_results.pickle'.format(params['galID'], \n", " params['fit_method'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Best-fit plot**" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "execution_count": 8, "metadata": { "image/png": { "width": 600 } }, "output_type": "execute_result" } ], "source": [ "# Look at best-fit:\n", "filepath = outdir_mpfit+\"{}_{}_bestfit_{}.{}\".format(params['galID'], \n", " params['fit_method'], \n", " params['obs_1_name'], \n", " params['plot_type'])\n", "Image(filename=filepath, width=600)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Directly generating result plots ####" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Reload the galaxy, results files:**" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "gal, results = fitting.reload_all_fitting(filename_galmodel=f_galmodel, \n", " filename_results=f_results, \n", " fit_method=params['fit_method'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Plot the best-fit results:**" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "results.plot_results(gal)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "--------" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Results reports ###" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We now look at the results reports, which include the best-fit values and uncertainties (as well as other fitting settings and output)." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "###############################\n", " Fitting for GS4_43501\n", "\n", "Date: 2024-11-04 16:00:12.513962\n", "\n", " obs: OBS\n", " Datafiles:\n", " vel : /Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/tests/test_data/GS4_43501_Ha_vm.fits\n", " disp: /Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/tests/test_data/GS4_43501_Ha_dm.fits\n", " fit_velocity: True\n", " fit_dispersion: True\n", " fit_flux: False\n", " moment: False\n", " zcalc_truncate: True\n", " n_wholepix_z_min: 3\n", " oversample: 1\n", " oversize: 1\n", "\n", "\n", "Fitting method: MPFIT\n", " fit status: 2\n", "\n", "pressure_support: True\n", "pressure_support_type: 1\n", "\n", "###############################\n", " Fitting results\n", "-----------\n", " disk+bulge\n", " total_mass 11.2407 +/- 0.0135\n", " r_eff_disk 11.1164 +/- 0.4071\n", "\n", " n_disk 1.0000 [FIXED]\n", " r_eff_bulge 1.0000 [FIXED]\n", " n_bulge 4.0000 [FIXED]\n", " bt 0.3000 [FIXED]\n", " mass_to_light 1.0000 [FIXED]\n", "\n", " noord_flat True\n", "-----------\n", " halo\n", " mvirial 11.0000 [FIXED]\n", " fdm 0.1583 [TIED]\n", " conc 5.0000 [FIXED]\n", "-----------\n", " dispprof_LINE\n", " sigma0 25.1849 +/- 1.1831\n", "-----------\n", " zheightgaus\n", " sigmaz 1.8883 [TIED]\n", "-----------\n", " geom_1\n", " inc 76.6631 +/- 0.5704\n", " pa 146.7799 +/- 0.3628\n", " xshift -0.1856 +/- 0.0104\n", " yshift -1.0702 +/- 0.0212\n", " vel_shift 0.7291 +/- 0.0600\n", "\n", "-----------\n", "Adiabatic contraction: False\n", "\n", "-----------\n", "Red. chisq: 4.3311\n", "\n", "-----------\n", "obs OBS: Rout,max,2D: 11.1201\n", "\n", "\n" ] } ], "source": [ "# Print report\n", "print(results.results_report(gal=gal))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**To directly save the results report** to a file, we can use the following:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [], "source": [ "# Save report to file:\n", "f_report = params['outdir'] + '{}_fit_report.txt'.format(params['galID'])\n", "results.results_report(gal=gal, filename=f_report)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Also note the fitting wrappers automatically save two versions of the report files:**" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "fbase = '{}_{}_bestfit_results'.format(params['galID'], params['fit_method'])\n", "f_report_pretty = params['outdir'] + fbase + '_report.info'\n", "f_report_machine = params['outdir'] + fbase + '.dat'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The \"pretty\" version, automatically saved as `*_best_fit_results_report.info`, is formatted to be human-readable, and includes more information on the fit settings at the beginning (for reference)." ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "###############################\n", " Fitting for GS4_43501\n", "\n", "Date: 2024-11-04 16:00:11.922759\n", "\n", " obs: OBS\n", " Datafiles:\n", " vel : /Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/tests/test_data/GS4_43501_Ha_vm.fits\n", " disp: /Users/jespejo/anaconda3/envs/test_dysmalpy/lib/python3.11/site-packages/dysmalpy/tests/test_data/GS4_43501_Ha_dm.fits\n", " fit_velocity: True\n", " fit_dispersion: True\n", " fit_flux: False\n", " moment: False\n", " zcalc_truncate: True\n", " n_wholepix_z_min: 3\n", " oversample: 1\n", " oversize: 1\n", "\n", "\n", "Fitting method: MPFIT\n", " fit status: 2\n", "\n", "pressure_support: True\n", "pressure_support_type: 1\n", "\n", "###############################\n", " Fitting results\n", "-----------\n", " disk+bulge\n", " total_mass 11.2407 +/- 0.0135\n", " r_eff_disk 11.1164 +/- 0.4071\n", "\n", " n_disk 1.0000 [FIXED]\n", " r_eff_bulge 1.0000 [FIXED]\n", " n_bulge 4.0000 [FIXED]\n", " bt 0.3000 [FIXED]\n", " mass_to_light 1.0000 [FIXED]\n", "\n", " noord_flat True\n", "-----------\n", " halo\n", " mvirial 11.0000 [FIXED]\n", " fdm 0.1583 [TIED]\n", " conc 5.0000 [FIXED]\n", "-----------\n", " dispprof_LINE\n", " sigma0 25.1849 +/- 1.1831\n", "-----------\n", " zheightgaus\n", " sigmaz 1.8883 [TIED]\n", "-----------\n", " geom_1\n", " inc 76.6631 +/- 0.5704\n", " pa 146.7799 +/- 0.3628\n", " xshift -0.1856 +/- 0.0104\n", " yshift -1.0702 +/- 0.0212\n", " vel_shift 0.7291 +/- 0.0600\n", "\n", "-----------\n", "Adiabatic contraction: False\n", "\n", "-----------\n", "Red. chisq: 4.3311\n", "\n", "-----------\n", "obs OBS: Rout,max,2D: 11.1201\n", "\n" ] } ], "source": [ "with open(f_report_pretty, 'r') as f:\n", " lines = [line.rstrip() for line in f]\n", " for line in lines: print(line)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The \"machine\" version, automatically saved as `*_best_fit_results.dat`, is formatted as a machine-readable space-separated ascii file. It includes key parameter fit information, as well as the best-fit reduced chisq." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "# component param_name fixed best_value l68_err u68_err\n", "disk+bulge total_mass False 11.2407 0.0135 0.0135\n", "disk+bulge r_eff_disk False 11.1164 0.4071 0.4071\n", "disk+bulge n_disk True 1.0000 -99.0000 -99.0000\n", "disk+bulge r_eff_bulge True 1.0000 -99.0000 -99.0000\n", "disk+bulge n_bulge True 4.0000 -99.0000 -99.0000\n", "disk+bulge bt True 0.3000 -99.0000 -99.0000\n", "disk+bulge mass_to_light True 1.0000 -99.0000 -99.0000\n", "halo mvirial True 11.0000 -99.0000 -99.0000\n", "halo fdm TIED 0.1583 -99.0000 -99.0000\n", "halo conc True 5.0000 -99.0000 -99.0000\n", "dispprof_LINE sigma0 False 25.1849 1.1831 1.1831\n", "zheightgaus sigmaz TIED 1.8883 -99.0000 -99.0000\n", "geom_1 inc False 76.6631 0.5704 0.5704\n", "geom_1 pa False 146.7799 0.3628 0.3628\n", "geom_1 xshift False -0.1856 0.0104 0.0104\n", "geom_1 yshift False -1.0702 0.0212 0.0212\n", "geom_1 vel_shift False 0.7291 0.0600 0.0600\n", "mvirial ----- ----- 11.0000 -99.0000 -99.0000\n", "fit_status ----- ----- 2 -99.0000 -99.0000\n", "adiab_contr ----- ----- False -99.0000 -99.0000\n", "redchisq ----- ----- 4.3311 -99.0000 -99.0000\n", "noord_flat ----- ----- True -99.0000 -99.0000\n", "pressure_support ----- ----- True -99.0000 -99.0000\n", "pressure_support_type ----- ----- 1 -99.0000 -99.0000\n", "obs:OBS:moment ----- ----- False -99.0000 -99.0000\n", "obs:OBS:Routmax2D ----- ----- 11.1201 -99.0000 -99.0000\n" ] } ], "source": [ "with open(f_report_machine, 'r') as f:\n", " lines = [line.rstrip() for line in f]\n", " for line in lines: print(line)" ] } ], "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": "3.11.6" } }, "nbformat": 4, "nbformat_minor": 4 }