add nan_polocy to omit nans in fitting model function

src/icesat2_tracks/ICEsat2_SI_tools/angle_optimizer.py

@@ -208,7 +208,7 @@ def sample(self, fitting_args= None , method='emcee', steps=100, verbose= True,
         fitting_args, fitting_kargs  = self.fitting_args, self.fitting_kargs
         self.fitter = self.LM.minimize(self.objective_func, self.params,  method=method,
                         args=fitting_args, kws=fitting_kargs ,
-                        nwalkers=self.nwalkers, steps=steps, pos= self.seeds, **kargs)
+                        nwalkers=self.nwalkers, steps=steps, pos= self.seeds,nan_policy='omit' , **kargs)
         if verbose:
             print(self.LM.report_fit(self.fitter))
             print('results at self.fitter')