CONAN._classes.load_result._get_lcbaseline
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.. py:method:: CONAN._classes.load_result._get_lcbaseline(file=None, params=None, nsamp=500, return_std=False)

   Compute LC baseline model from CONAN fit for a given input file using specified parameters.

   :param file: name of the LC file for which to evaluate the baseline model. If None, model for all input files is returned
   :type file: str, None;
   :param params: Parameters to evaluate the model at. The median posterior parameters from the fit are used if params is None
   :type params: array-like;
   :param nsamp: number of posterior samples to use for computing the 1sigma quantiles of the model. Default is 500.
   :type nsamp: int;
   :param return_std: if True, return the 1sigma quantiles of the model as well as the model itself. If False, return only the model.
   :type return_std: bool;

   :returns: **object** -- base_model: LC baseline model array evaluated at the input file times, for a specific file.
             sigma_low, sigma_high: if return_std is True, 1sigma quantiles of the model is returned.
   :rtype: SimpleNamespace;