CONAN._classes.load_lightcurves.get_LDs
=======================================

.. py:method:: CONAN._classes.load_lightcurves.get_LDs(Teff, logg, Z, filter_names, unc_mult=10, fixed_unc=None, use_result=False, verbose=True)

   get Kipping quadratic limb darkening parameters (q1,q2) using ldtk (requires internet connection).

   :param Teff: (value, std) of stellar effective temperature
   :type Teff: tuple
   :param logg: (value, std) of stellar logg
   :type logg: tuple
   :param Z: (value, std) of stellar metallicity
   :type Z: tuple
   :param filter_names: SVO filter name such as 'Spitzer/IRAC.I1' or a name shortcut such as "TESS", "CHEOPS","kepler".
                        use `lc_obj._filter_shortcuts` to get list of filter shortcut names. Filter names can be obtained from http://svo2.cab.inta-csic.es/theory/fps/
   :type filter_names: list of str
   :param unc_mult: value by which to multiply ldtk uncertainties which are usually underestimated, by default 10
   :type unc_mult: int/float, optional
   :param fixed_unc: fixed uncertainty value to use for each filter, by default None and unc_mult is used
   :type fixed_unc: float/list, optional
   :param use_result: whether to use the result to setup limb darkening priors, by default True
   :type use_result: bool, optional

   :returns: **q1, q2** -- each coefficient is an array of only values (no uncertainity) for each filter.
             These can be fed to the `limb_darkening()` function to fix the coefficients
   :rtype: arrays

   .. rubric:: Examples

   # get limb darkening coefficients for TESS and CHEOPS filters

   >>> q1, q2 = lc_obj.get_LDs(Teff        = (5777,100),
   >>>                         logg        = (4.44,0.1),
   >>>                         Z           = (0,0.1),
   >>>                         filter_names= ["TESS","CHEOPS"] )
   >>> lc_obj.limb_darkening(q1=q1, q2=q2)