import os matplotlib.pyplot as plt numpy np ehtim eh ###################################################################################################################### # Imaging parameters image_pol = False SCRIPTNAME='imagingtutorialscript_' datafolder '../results/' name 'simobs' pathtooutput '../results' pathtoscripts '.' source 'M87' zbl 0.8 How much flux we believe lives in the compact component (Jy) zbl_tot True zero baseline values measured by ALMA sys_noise 0.01 Systematic noise added to visibilities account for (e.g.) leakage prior_fwhm 50*eh.RADPERUAS Gaussian prior size fov 120*eh.RADPERUAS field of view reconstructed image npix 64 number pixels across tag + '_zbl' str(zbl) flag_zbl Option flag baselines fit_amps Whether or not include visibility amplitudes imaging flag_amps anomalous snr_cut SNR cutoff t_avg coherent averaging time (seconds) LZ_gauss 40*eh.RADPERUAS FWHM self-calibration LMT-SMT (for M87) LMT_rescale 1.5 Rescaling factor LMT non-M87) systematic_noise {'ALMA':0.01 'APEX':0.01 'SMT':0.05 'LMT':0.15 'PV':0.05 'SMA':0.01 'JCMT':0.01} systematic on a priori reg_term {'simple':100 'tv':1 'tv2':1} Image regularization