sdapy.snerun.snobject.bb_bol¶

snobject.bb_bol(index=0, returnv=False, fastsedfitting=True, **kwargs)¶

Calculate bolometric LCs with diluted blackbody fits (that were fitted with the snobject.run_fit on sed engine).

Parameters

fastsedfittingbool: if no SED model fittings found, fit them in minimize rountine
indexint: if multiple models available, which one to use
make_bollist: how to make bolometric lcs: [lyman] with BC defined by Lyman approach, [bb] blackbody fits, or [spec] absolute calibrated spectra
sed_bandslist: multiple bands of the BB
sed_color_interplist: how to make blackbody. 1: epochs with all filters within color_thre hours. 2: epochs with one filter, and the others from analytic fits. 3. epochs with one filter, and the other from Gaussian process
sed_xrangepstr: after fitting, range to reproduce the SED
quantilelist: use 50 percentile as mean, and 1 sigma (68%% -> 16%% - 84%%) as errors
clobberbool: Redo analysis
verbosebool: show process
returnvbool: if return the luminosities, or store them in the class
If activate SED fitting with fastsedfitting, then more parameters are needed to run SED fittings.