sdapy.snerun.snobject.run_gp

snobject.run_gp(source=None, **kwargs)

Run Gaussian Process interpolation via george package on multiband lightcurves, i.e. snobject.lc.

Parameters

sourcestr

which source of snobject.lc to be used

gp_fitbool

if fit GP or not

gp_redobool

if cached file exists, redo or read

gp_bandslist

which bands for GP, None, or a list. e.g. [‘g’, ‘r’]

gp_routine: `str`

Possible choices are:

• minimize

• mcmc

• leastsq

gp_meanstr

Mean y_data function. Possible choices are:

• mean

• gaussian

• bazin

• villar

gp_xrangelist

gp fit range, relative to peak

gp_xrangep: `list`

gp plot range, relative to peak. if None, will not plot gp samplings

verboselist

show warnings or not

kernelstr

Kernel to be used with the gaussian process. Possible choices are:

• matern52

• matern32

• squaredexp

fix_scalebool

If fix default gaussian process param

nwalkersint

number of walkers

nstepsint

number of MC steps

nsteps_burninint

number of MC burn in steps

set_tpeak_methodstr

set t0 with peak from:

• [gp] Gaussian process

• [fit] multiband_main/Bazin fits

• [bol] bol_main/Arnett fits

• leave blanckt as with input jdpeak

set_tpeak_filterstr

set t0 with peak of which band

See also

snobject.set_peak_gp, snobject.run_fit

Notes

• This function is using sdapy.gaussian_process.fit_gp, which was afterwards stored as snobject.gpcls.

• This function is using a constant kernel for wavelengthes and a demanded kernel for fluxes.