CONAN._classes.load_rvs.rv_baseline

CONAN._classes.load_rvs.rv_baseline#

CONAN._classes.load_rvs.rv_baseline(dcol0=None, dcol3=None, dcol4=None, dcol5=None, sinPs=None, gamma=0.0, gp='n', verbose=True)#

Define rv baseline model parameters to fit. Each baseline model parameter should be a list of numbers specifying the polynomial order for each rv data. e.g. Given 3 input rvs, and one wishes to fit a 2nd order time trend to only the first and third lightcurves, then dcol0 = [2, 0, 2].

Parameters:

  • dcol0 (list of ints;) – polynomial order to fit to each column. Default is 0 for all columns. max order is 2

  • dcol3 (list of ints;) – polynomial order to fit to each column. Default is 0 for all columns. max order is 2

  • dcol4 (list of ints;) – polynomial order to fit to each column. Default is 0 for all columns. max order is 2

  • dcol5 (list of ints;) – polynomial order to fit to each column. Default is 0 for all columns. max order is 2

:param : polynomial order to fit to each column. Default is 0 for all columns. max order is 2 :type : list of ints; :param gamma: specify if to fit for gamma. if float/int, it is fixed to this value. If tuple of len 2 it assumes gaussian prior as (prior_mean, width) and if len 3 uniform as (min,start,max) with min<start<max. :type gamma: tuple,floats or list of tuple/float;

_RVbases#

list of baseline model coefficients for each rv

Type:

list;

_rvdict#

dictionary of rv baseline model parameters

Type:

dict;

_useGPrv#

list of ‘n’, ‘ce’,’ge’,or ‘sp’ for each light curve indicating if a GP is to be fitted.

Type:

list;

_gp_rvs#

list of rvs with GP fitting

Type:

list;

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