CONAN._classes.load_rvs.rv_baseline
===================================

.. py:method:: 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].

   :param dcol0: polynomial order to fit to each column. Default is 0 for all columns. max order is 2
   :type dcol0: list of ints;
   :param dcol3: polynomial order to fit to each column. Default is 0 for all columns. max order is 2
   :type dcol3: list of ints;
   :param dcol4: polynomial order to fit to each column. Default is 0 for all columns. max order is 2
   :type dcol4: list of ints;
   :param dcol5: polynomial order to fit to each column. Default is 0 for all columns. max order is 2
   :type dcol5: list of ints;
   :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;

   .. attribute:: _RVbases

      list of baseline model coefficients for each rv

      :type: list;

   .. attribute:: _rvdict

      dictionary of rv baseline model parameters

      :type: dict;

   .. attribute:: _useGPrv

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

      :type: list;

   .. attribute:: _gp_rvs

      list of rvs with GP fitting

      :type: list;