sdapy.snerun.snobject.get_par¶

snobject.get_par(par, index=0, engine=None, model=None, source=None, filt='r', k_opt=None, **kwargs)¶

Get specific parameter value and error, of a fitted model.

Parameters

parstr

parameter name

indexint

if there’re multple models can provide, e.g. the nickel mass mni, which one to use

enginestr

which engine models to be used

modelstr

which models to be used

sourcestr

which source to be used

filtsstr

for multiband engines, which filter

quantilelist

use 50 percentile as mean, and 1 sigma (68%% -> 16%% - 84%%) as errors

k_optfloat

for Arnett alike models, which opacity to be used:

Returns