#The default version of this file, ini/i3_options.ini, is auto-generated by #tools/i3_build_options.py. Unless you copy it out of the build directory you will #lose any changes made next time you compile. #This file shows the default value of all the parameters. If your own #parameter files do not specify any parameter they will have the default value #shown here (though I do not recommend this). ######################## ###### Basic Options ######################## #Name of model to use. model_name = sersics #Assumed noise standard deviation noise_sigma = 1.0 #Image mask. If set, the weighting assigned to each pixel is scaled by the mask value (i.e. ignore any pixels with mask=0) image_mask = #Whether to subtract off the mean of the edge pixels from the whole stamp background_subtract = YES #Whether to rescale the whole postage stamp so flux is 1 rescale_stamp = YES #Verbosity level [-1 to 4] verbosity = 0 #Whether to save images of the model and fit in output_directory save_images = NO #Whether to save im3shape output in output_directory save_output = NO #Output directory in which to save model and data images. output_directory = . #Output filename in which to save im3shape results. output_filename = im3shape_output.txt #Use an Airy PSF instead of a Moffat. airy_psf = NO #PSF truncation radius, in pixels (use 5.7 for GREAT08, or a large number e.g. 40 for no truncation) psf_truncation_pixels = 40.0 ######################## ###### Optimizer Options ######################## #Use a computed starting position (if available). This (partially) overwrites ini settings. If not just use ini file settings. use_computed_start = YES #Tolerance of the minimizer (for levmar it is eps2>||dp||_2) minimizer_tolerance = 1e-09 #Levmar stopping criterion: ||J^T e||_inf < eps1. Set to -1 if not used. levmar_eps1 = -1 #Levmar stopping criterion: ||dp||_2 < eps2. Set to -1 if not used. levmar_eps2 = 1e-20 #Levmar stopping criterion: ||e||_2 < eps3. Set to -1 if not used. levmar_eps3 = -1 #Levmar stopping criterion: D||e||_2*n < eps4. Set to -1 if not used. levmar_eps4 = 1e-07 #Levmar stopping criterion: ellipticty did not change by eps5 since last iteration. levmar_eps5 = -1 #Levmar size of the step used for finding finite difference derivatives. If <0 then use central differences. levmar_tau = 1e-10 #Levmar initial damping factor levmar_LM_INIT_MU = 1e-08 #The maximum number of iterations of the minimizer minimizer_max_iterations = 500 ######################## ###### Image Options ######################## #The size of a postage-stamp patch with a single object in to analyze. stamp_size = 32 #The upsampling to use when creating high-res models upsampling = 5 #Whether to do extra upsampling in central pixels of galaxy image - N.B. Only implemented in milestone model central_pixel_upsampling = YES #Factor by which to upsample the high-resolution pixels, in the center of the galaxy image. Odd number. n_central_pixel_upsampling = 9 #If 1 it will upsample only central pixel, if 2 also its one neighbor on both sides, etc. n_central_pixels_to_upsample = 5 #Padding to use when generating model (in low-res pixels), has to be even, 0 allowed padding = 2 #Number of pixels at which to truncate sersic discs sersics_disc_truncation = 0.0 #Number of pixels at which to truncate sersic bulge sersics_bulge_truncation = 0.0 ######################## ###### Options for model sersics ######################## #Initial value of parameter x0 in model sersics sersics_x0_start = 20.0 #Initial value of parameter y0 in model sersics sersics_y0_start = 20.0 #Initial value of parameter e1 in model sersics sersics_e1_start = 0.0 #Initial value of parameter e2 in model sersics sersics_e2_start = 0.0 #Initial value of parameter radius in model sersics sersics_radius_start = 2.7 #Initial value of parameter radius_ratio in model sersics sersics_radius_ratio_start = 1.0 #Initial value of parameter bulge_A in model sersics sersics_bulge_A_start = 0.5 #Initial value of parameter disc_A in model sersics sersics_disc_A_start = 0.5 #Initial value of parameter bulge_index in model sersics sersics_bulge_index_start = 4.0 #Initial value of parameter disc_index in model sersics sersics_disc_index_start = 1.0 #Initial value of parameter delta_e_bulge in model sersics sersics_delta_e_bulge_start = 0.0 #Initial value of parameter delta_theta_bulge in model sersics sersics_delta_theta_bulge_start = 0.0 #Initial value of parameter x0 in model sersics sersics_x0_width = 0.1 #Initial value of parameter y0 in model sersics sersics_y0_width = 0.1 #Initial value of parameter e1 in model sersics sersics_e1_width = 0.1 #Initial value of parameter e2 in model sersics sersics_e2_width = 0.2 #Initial value of parameter radius in model sersics sersics_radius_width = 0.1 #Initial value of parameter radius_ratio in model sersics sersics_radius_ratio_width = 0.1 #Initial value of parameter bulge_A in model sersics sersics_bulge_A_width = 0.3 #Initial value of parameter disc_A in model sersics sersics_disc_A_width = 0.2 #Initial value of parameter bulge_index in model sersics sersics_bulge_index_width = 0.2 #Initial value of parameter disc_index in model sersics sersics_disc_index_width = 0.2 #Initial value of parameter delta_e_bulge in model sersics sersics_delta_e_bulge_width = 0.1 #Initial value of parameter delta_theta_bulge in model sersics sersics_delta_theta_bulge_width = 0.1 #Min value of parameter x0 in model sersics sersics_x0_min = -20.0 #Min value of parameter y0 in model sersics sersics_y0_min = -20.0 #Min value of parameter e1 in model sersics sersics_e1_min = -0.95 #Min value of parameter e2 in model sersics sersics_e2_min = -0.95 #Min value of parameter radius in model sersics sersics_radius_min = 0.1 #Min value of parameter radius_ratio in model sersics sersics_radius_ratio_min = 0.001 #Min value of parameter bulge_A in model sersics sersics_bulge_A_min = 0.0 #Min value of parameter disc_A in model sersics sersics_disc_A_min = 0.0 #Min value of parameter bulge_index in model sersics sersics_bulge_index_min = 0.5 #Min value of parameter disc_index in model sersics sersics_disc_index_min = 0.5 #Min value of parameter delta_e_bulge in model sersics sersics_delta_e_bulge_min = -0.5 #Min value of parameter delta_theta_bulge in model sersics sersics_delta_theta_bulge_min = -3.141593 #Max value of parameter x0 in model sersics sersics_x0_max = 60.0 #Max value of parameter y0 in model sersics sersics_y0_max = 60.0 #Max value of parameter e1 in model sersics sersics_e1_max = 0.95 #Max value of parameter e2 in model sersics sersics_e2_max = 0.95 #Max value of parameter radius in model sersics sersics_radius_max = 50.0 #Max value of parameter radius_ratio in model sersics sersics_radius_ratio_max = 1000 #Max value of parameter bulge_A in model sersics sersics_bulge_A_max = 10000.0 #Max value of parameter disc_A in model sersics sersics_disc_A_max = 10000.0 #Max value of parameter bulge_index in model sersics sersics_bulge_index_max = 5.0 #Max value of parameter disc_index in model sersics sersics_disc_index_max = 5.0 #Max value of parameter delta_e_bulge in model sersics sersics_delta_e_bulge_max = 0.5 #Max value of parameter delta_theta_bulge in model sersics sersics_delta_theta_bulge_max = 3.141593 #Whether to fix the value of parameter x0 in model sersics sersics_x0_fixed = NO #Whether to fix the value of parameter y0 in model sersics sersics_y0_fixed = NO #Whether to fix the value of parameter e1 in model sersics sersics_e1_fixed = NO #Whether to fix the value of parameter e2 in model sersics sersics_e2_fixed = NO #Whether to fix the value of parameter radius in model sersics sersics_radius_fixed = NO #Whether to fix the value of parameter radius_ratio in model sersics sersics_radius_ratio_fixed = YES #Whether to fix the value of parameter bulge_A in model sersics sersics_bulge_A_fixed = NO #Whether to fix the value of parameter disc_A in model sersics sersics_disc_A_fixed = NO #Whether to fix the value of parameter bulge_index in model sersics sersics_bulge_index_fixed = YES #Whether to fix the value of parameter disc_index in model sersics sersics_disc_index_fixed = YES #Whether to fix the value of parameter delta_e_bulge in model sersics sersics_delta_e_bulge_fixed = YES #Whether to fix the value of parameter delta_theta_bulge in model sersics sersics_delta_theta_bulge_fixed = YES ######################## ###### Options for model logsersics ######################## #Initial value of parameter x0 in model logsersics logsersics_x0_start = 20.0 #Initial value of parameter y0 in model logsersics logsersics_y0_start = 20.0 #Initial value of parameter e1 in model logsersics logsersics_e1_start = 0.0 #Initial value of parameter e2 in model logsersics logsersics_e2_start = 0.0 #Initial value of parameter radius in model logsersics logsersics_radius_start = 2.7 #Initial value of parameter radius_ratio in model logsersics logsersics_radius_ratio_start = 1.0 #Initial value of parameter bulge_A in model logsersics logsersics_bulge_A_start = -0.693 #Initial value of parameter disc_A in model logsersics logsersics_disc_A_start = -0.693 #Initial value of parameter bulge_index in model logsersics logsersics_bulge_index_start = 4.0 #Initial value of parameter disc_index in model logsersics logsersics_disc_index_start = 1.0 #Initial value of parameter delta_e_bulge in model logsersics logsersics_delta_e_bulge_start = 0.0 #Initial value of parameter delta_theta_bulge in model logsersics logsersics_delta_theta_bulge_start = 0.0 #Initial value of parameter x0 in model logsersics logsersics_x0_width = 0.1 #Initial value of parameter y0 in model logsersics logsersics_y0_width = 0.1 #Initial value of parameter e1 in model logsersics logsersics_e1_width = 0.1 #Initial value of parameter e2 in model logsersics logsersics_e2_width = 0.2 #Initial value of parameter radius in model logsersics logsersics_radius_width = 0.1 #Initial value of parameter radius_ratio in model logsersics logsersics_radius_ratio_width = 0.1 #Initial value of parameter bulge_A in model logsersics logsersics_bulge_A_width = 0.3 #Initial value of parameter disc_A in model logsersics logsersics_disc_A_width = 0.2 #Initial value of parameter bulge_index in model logsersics logsersics_bulge_index_width = 0.2 #Initial value of parameter disc_index in model logsersics logsersics_disc_index_width = 0.2 #Initial value of parameter delta_e_bulge in model logsersics logsersics_delta_e_bulge_width = 0.1 #Initial value of parameter delta_theta_bulge in model logsersics logsersics_delta_theta_bulge_width = 0.1 #Min value of parameter x0 in model logsersics logsersics_x0_min = -20.0 #Min value of parameter y0 in model logsersics logsersics_y0_min = -20.0 #Min value of parameter e1 in model logsersics logsersics_e1_min = -0.95 #Min value of parameter e2 in model logsersics logsersics_e2_min = -0.95 #Min value of parameter radius in model logsersics logsersics_radius_min = 0.1 #Min value of parameter radius_ratio in model logsersics logsersics_radius_ratio_min = 0.001 #Min value of parameter bulge_A in model logsersics logsersics_bulge_A_min = -6.0 #Min value of parameter disc_A in model logsersics logsersics_disc_A_min = -6.0 #Min value of parameter bulge_index in model logsersics logsersics_bulge_index_min = 2.0 #Min value of parameter disc_index in model logsersics logsersics_disc_index_min = 0.5 #Min value of parameter delta_e_bulge in model logsersics logsersics_delta_e_bulge_min = -0.5 #Min value of parameter delta_theta_bulge in model logsersics logsersics_delta_theta_bulge_min = -3.141593 #Max value of parameter x0 in model logsersics logsersics_x0_max = 60.0 #Max value of parameter y0 in model logsersics logsersics_y0_max = 60.0 #Max value of parameter e1 in model logsersics logsersics_e1_max = 0.95 #Max value of parameter e2 in model logsersics logsersics_e2_max = 0.95 #Max value of parameter radius in model logsersics logsersics_radius_max = 50.0 #Max value of parameter radius_ratio in model logsersics logsersics_radius_ratio_max = 1000 #Max value of parameter bulge_A in model logsersics logsersics_bulge_A_max = 2.0 #Max value of parameter disc_A in model logsersics logsersics_disc_A_max = 2.0 #Max value of parameter bulge_index in model logsersics logsersics_bulge_index_max = 5.0 #Max value of parameter disc_index in model logsersics logsersics_disc_index_max = 2.0 #Max value of parameter delta_e_bulge in model logsersics logsersics_delta_e_bulge_max = 0.5 #Max value of parameter delta_theta_bulge in model logsersics logsersics_delta_theta_bulge_max = 3.141593 #Whether to fix the value of parameter x0 in model logsersics logsersics_x0_fixed = NO #Whether to fix the value of parameter y0 in model logsersics logsersics_y0_fixed = NO #Whether to fix the value of parameter e1 in model logsersics logsersics_e1_fixed = NO #Whether to fix the value of parameter e2 in model logsersics logsersics_e2_fixed = NO #Whether to fix the value of parameter radius in model logsersics logsersics_radius_fixed = NO #Whether to fix the value of parameter radius_ratio in model logsersics logsersics_radius_ratio_fixed = YES #Whether to fix the value of parameter bulge_A in model logsersics logsersics_bulge_A_fixed = NO #Whether to fix the value of parameter disc_A in model logsersics logsersics_disc_A_fixed = NO #Whether to fix the value of parameter bulge_index in model logsersics logsersics_bulge_index_fixed = YES #Whether to fix the value of parameter disc_index in model logsersics logsersics_disc_index_fixed = YES #Whether to fix the value of parameter delta_e_bulge in model logsersics logsersics_delta_e_bulge_fixed = YES #Whether to fix the value of parameter delta_theta_bulge in model logsersics logsersics_delta_theta_bulge_fixed = YES ######################## ###### Options for model quadratic_test ######################## #Initial value of parameter x1 in model quadratic_test quadratic_test_x1_start = 0.0 #Initial value of parameter x2 in model quadratic_test quadratic_test_x2_start = 0.0 #Initial value of parameter x3 in model quadratic_test quadratic_test_x3_start = 0.0 #Initial value of parameter x4 in model quadratic_test quadratic_test_x4_start = 0.0 #Initial value of parameter x5 in model quadratic_test quadratic_test_x5_start = 0.2, 0.2, 0.2 #Initial value of parameter x1 in model quadratic_test quadratic_test_x1_width = 0.1 #Initial value of parameter x2 in model quadratic_test quadratic_test_x2_width = 0.1 #Initial value of parameter x3 in model quadratic_test quadratic_test_x3_width = 0.1 #Initial value of parameter x4 in model quadratic_test quadratic_test_x4_width = 0.1 #Initial value of parameter x5 in model quadratic_test quadratic_test_x5_width = 0.2, 0.2, 0.2 #Min value of parameter x1 in model quadratic_test quadratic_test_x1_min = 0.0 #Min value of parameter x2 in model quadratic_test quadratic_test_x2_min = 0.0 #Min value of parameter x3 in model quadratic_test quadratic_test_x3_min = 0.0 #Min value of parameter x4 in model quadratic_test quadratic_test_x4_min = 0.0 #Min value of parameter x5 in model quadratic_test quadratic_test_x5_min = -1.0, -1.0, -1.0 #Max value of parameter x1 in model quadratic_test quadratic_test_x1_max = 1.0 #Max value of parameter x2 in model quadratic_test quadratic_test_x2_max = 1.0 #Max value of parameter x3 in model quadratic_test quadratic_test_x3_max = 1.0 #Max value of parameter x4 in model quadratic_test quadratic_test_x4_max = 1.0 #Max value of parameter x5 in model quadratic_test quadratic_test_x5_max = 1.0, 1.0, 1.0 #Whether to fix the value of parameter x1 in model quadratic_test quadratic_test_x1_fixed = NO #Whether to fix the value of parameter x2 in model quadratic_test quadratic_test_x2_fixed = NO #Whether to fix the value of parameter x3 in model quadratic_test quadratic_test_x3_fixed = NO #Whether to fix the value of parameter x4 in model quadratic_test quadratic_test_x4_fixed = NO #Whether to fix the value of parameter x5 in model quadratic_test quadratic_test_x5_fixed = NO ######################## ###### Options for model multisersics ######################## #Initial value of parameter ra_as in model multisersics multisersics_ra_as_start = 0.0 #Initial value of parameter dec_as in model multisersics multisersics_dec_as_start = 0.0 #Initial value of parameter e1 in model multisersics multisersics_e1_start = 0.0 #Initial value of parameter e2 in model multisersics multisersics_e2_start = 0.0 #Initial value of parameter radius in model multisersics multisersics_radius_start = 2.7 #Initial value of parameter radius_ratio in model multisersics multisersics_radius_ratio_start = 1.0 #Initial value of parameter bulge_A in model multisersics multisersics_bulge_A_start = 0.5 #Initial value of parameter disc_A in model multisersics multisersics_disc_A_start = 0.5 #Initial value of parameter bulge_index in model multisersics multisersics_bulge_index_start = 4.0 #Initial value of parameter disc_index in model multisersics multisersics_disc_index_start = 1.0 #Initial value of parameter ra_as in model multisersics multisersics_ra_as_width = 0.1 #Initial value of parameter dec_as in model multisersics multisersics_dec_as_width = 0.1 #Initial value of parameter e1 in model multisersics multisersics_e1_width = 0.1 #Initial value of parameter e2 in model multisersics multisersics_e2_width = 0.2 #Initial value of parameter radius in model multisersics multisersics_radius_width = 0.1 #Initial value of parameter radius_ratio in model multisersics multisersics_radius_ratio_width = 0.1 #Initial value of parameter bulge_A in model multisersics multisersics_bulge_A_width = 0.3 #Initial value of parameter disc_A in model multisersics multisersics_disc_A_width = 0.2 #Initial value of parameter bulge_index in model multisersics multisersics_bulge_index_width = 0.2 #Initial value of parameter disc_index in model multisersics multisersics_disc_index_width = 0.2 #Min value of parameter ra_as in model multisersics multisersics_ra_as_min = -20.0 #Min value of parameter dec_as in model multisersics multisersics_dec_as_min = -20.0 #Min value of parameter e1 in model multisersics multisersics_e1_min = -0.95 #Min value of parameter e2 in model multisersics multisersics_e2_min = -0.95 #Min value of parameter radius in model multisersics multisersics_radius_min = 0.1 #Min value of parameter radius_ratio in model multisersics multisersics_radius_ratio_min = 0.001 #Min value of parameter bulge_A in model multisersics multisersics_bulge_A_min = 0.0 #Min value of parameter disc_A in model multisersics multisersics_disc_A_min = 0.0 #Min value of parameter bulge_index in model multisersics multisersics_bulge_index_min = 0.5 #Min value of parameter disc_index in model multisersics multisersics_disc_index_min = 0.5 #Max value of parameter ra_as in model multisersics multisersics_ra_as_max = 20.0 #Max value of parameter dec_as in model multisersics multisersics_dec_as_max = 20.0 #Max value of parameter e1 in model multisersics multisersics_e1_max = 0.95 #Max value of parameter e2 in model multisersics multisersics_e2_max = 0.95 #Max value of parameter radius in model multisersics multisersics_radius_max = 50.0 #Max value of parameter radius_ratio in model multisersics multisersics_radius_ratio_max = 1000 #Max value of parameter bulge_A in model multisersics multisersics_bulge_A_max = 10000.0 #Max value of parameter disc_A in model multisersics multisersics_disc_A_max = 10000.0 #Max value of parameter bulge_index in model multisersics multisersics_bulge_index_max = 5.0 #Max value of parameter disc_index in model multisersics multisersics_disc_index_max = 5.0 #Whether to fix the value of parameter ra_as in model multisersics multisersics_ra_as_fixed = NO #Whether to fix the value of parameter dec_as in model multisersics multisersics_dec_as_fixed = NO #Whether to fix the value of parameter e1 in model multisersics multisersics_e1_fixed = NO #Whether to fix the value of parameter e2 in model multisersics multisersics_e2_fixed = NO #Whether to fix the value of parameter radius in model multisersics multisersics_radius_fixed = NO #Whether to fix the value of parameter radius_ratio in model multisersics multisersics_radius_ratio_fixed = YES #Whether to fix the value of parameter bulge_A in model multisersics multisersics_bulge_A_fixed = NO #Whether to fix the value of parameter disc_A in model multisersics multisersics_disc_A_fixed = NO #Whether to fix the value of parameter bulge_index in model multisersics multisersics_bulge_index_fixed = YES #Whether to fix the value of parameter disc_index in model multisersics multisersics_disc_index_fixed = YES ######################## ###### Options for model multixray ######################## #Initial value of parameter alpha_arcsec in model multixray multixray_alpha_arcsec_start = 0.0 #Initial value of parameter delta_arcsec in model multixray multixray_delta_arcsec_start = 0.0 #Initial value of parameter e1 in model multixray multixray_e1_start = 0.0 #Initial value of parameter e2 in model multixray multixray_e2_start = 0.0 #Initial value of parameter rc in model multixray multixray_rc_start = 2.0 #Initial value of parameter A in model multixray multixray_A_start = 1.0 #Initial value of parameter beta in model multixray multixray_beta_start = 0.666666666667 #Initial value of parameter background in model multixray multixray_background_start = 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 #Initial value of parameter alpha_arcsec in model multixray multixray_alpha_arcsec_width = 0.1 #Initial value of parameter delta_arcsec in model multixray multixray_delta_arcsec_width = 0.1 #Initial value of parameter e1 in model multixray multixray_e1_width = 0.1 #Initial value of parameter e2 in model multixray multixray_e2_width = 0.2 #Initial value of parameter rc in model multixray multixray_rc_width = 0.1 #Initial value of parameter A in model multixray multixray_A_width = 0.3 #Initial value of parameter beta in model multixray multixray_beta_width = 0.3 #Initial value of parameter background in model multixray multixray_background_width = 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1 #Min value of parameter alpha_arcsec in model multixray multixray_alpha_arcsec_min = -20.0 #Min value of parameter delta_arcsec in model multixray multixray_delta_arcsec_min = -20.0 #Min value of parameter e1 in model multixray multixray_e1_min = -0.95 #Min value of parameter e2 in model multixray multixray_e2_min = -0.95 #Min value of parameter rc in model multixray multixray_rc_min = 0.1 #Min value of parameter A in model multixray multixray_A_min = 0.0 #Min value of parameter beta in model multixray multixray_beta_min = 0.166666666667 #Min value of parameter background in model multixray multixray_background_min = 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 #Max value of parameter alpha_arcsec in model multixray multixray_alpha_arcsec_max = 60.0 #Max value of parameter delta_arcsec in model multixray multixray_delta_arcsec_max = 60.0 #Max value of parameter e1 in model multixray multixray_e1_max = 0.95 #Max value of parameter e2 in model multixray multixray_e2_max = 0.95 #Max value of parameter rc in model multixray multixray_rc_max = 50 #Max value of parameter A in model multixray multixray_A_max = 10.0 #Max value of parameter beta in model multixray multixray_beta_max = 3.0 #Max value of parameter background in model multixray multixray_background_max = 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0, 10.0 #Whether to fix the value of parameter alpha_arcsec in model multixray multixray_alpha_arcsec_fixed = NO #Whether to fix the value of parameter delta_arcsec in model multixray multixray_delta_arcsec_fixed = NO #Whether to fix the value of parameter e1 in model multixray multixray_e1_fixed = NO #Whether to fix the value of parameter e2 in model multixray multixray_e2_fixed = NO #Whether to fix the value of parameter rc in model multixray multixray_rc_fixed = NO #Whether to fix the value of parameter A in model multixray multixray_A_fixed = NO #Whether to fix the value of parameter beta in model multixray multixray_beta_fixed = NO #Whether to fix the value of parameter background in model multixray multixray_background_fixed = YES ######################## ###### Advanced Options - THESE ARE EXPERIMENTAL - USE AT OWN RISK ######################## #Whether to perform a full MCMC. If not, just get the maximum posterior solution. do_mcmc = NO #Number of loops of the minimizer to perform minimizer_loops = 1 #Whether to save images of the sersic image within the likelihood function save_sersics = NO #Model of the PSF to use, currently supported "moffat_catalog", "psf_image_cube", "psf_image_single", "psfex" and "shapelet" psf_input = moffat_catalog #Whether to perform pixel integration during convolution. If effective PSF is provided, set this option to False. perform_pixel_integration = YES #Whether to use a galaxy segmentation mask for fitting. use_segmentation_mask = NO #Filename of galaxy segmentation mask. segmentation_mask_filename = #Whether to use Hankel transform trick to speed up model generation use_hankel_transform = NO #If yes, then constrain the amplitudes of bulge and disc to be positive, using beermat sersics_beermat_amplitudes_positive = NO #Path to a data file containing a Sersic Fourier lookup table sersic_lookup_file = /home/jaz/im3shape-grid/im3shape/data/HankelSersic_table.fits #Use analytic gradients levmar_use_analytic_gradients = NO #Check analytic gradients levmar_check_analytic_gradients = NO #If im3generate creates high resolution images image_generator_resolution_high = NO #Minimizer verbosity level [0-4] minimizer_verbosity = 0 #Minimizer method 0=levmar 1=simplex 2=powell 3=praxis 4=golden minimizer_method = 0 #Use Poisson errors for the xray model poisson_errors = NO #Time parameter estimation time timeit = NO #Make the post stamp circular by masking out pixels around the edge circularize_mask = NO ######################## ###### MCMC Options - EXPERIMENTAL ######################## #The number of MCMC samples to generate number_samples = 20000 #The length of the MCMC burn-in phase. Must be < number_samples burn_length = 100 #The length of the MCMC tuning phase. This comes after the burn period and tunes the covariance. tuning_phase = 100 #The MCMC proposal scaling factor. scaling = 2.4 #Whether or not to rotate proposals do_rotation = YES #Periodically tune the proposal covariance during the tuning phase mcmc_tune_covmat = YES #Initial temperature of annealing. max_annealing_temperature = 2.0 #Fraction of the way through the chain that the temperature should reach one. Schedule is linear annealing_one_point = 0.5 #Interval between adaptive metropolis calls adaptive_metropolis_interval = 100 #Climb the hill only; reject jumps that reduce likelihood climbing_only = NO #If set, must include a %ld somewhere. Save MCMC output to this with the galaxy identifier mcmc_filename_base = #Whether to use the mean of the MCMC distribution instead of the maximum likelihood use_mcmc_mean = NO #Whether to use the final sample of the MCMC instead of the maximum likelihood use_mcmc_sample = NO #Print all the MCMC samples to stdout. print_mcmc_samples = NO ######################## ###### MEDS Options - Probably DES only ######################## #Do not optimize; just use initial params. starting_params_only = NO #Rescale the weights so that the edge pixels have the correct std dev. rescale_weight = NO #Use the ubserseg masking algorithm. uberseg = YES #Use the MEDS image flags to select exposures. use_image_flags = YES #Use the ubserseg masking algorithm. reject_outliers = YES #Replace the path in the PSF using this comma-separated pair old,new replace_psf_path = #Use the Jarvis re-run PSF with this version psfex_rerun_version = #Output to database instead of file database_output = NO