code: def _get_tau_vector(self, tau_mean, tau_std, imt_list):
          
          self.magnitude_limits = MAG_LIMS_KEYS[self.tau_model]["mag"]
          self.tau_keys = MAG_LIMS_KEYS[self.tau_model]["keys"]
          t_bar = {}
          t_std = {}
          for imt in imt_list:
              t_bar[imt] = []
              t_std[imt] = []
              for mag, key in zip(self.magnitude_limits, self.tau_keys):
                  t_bar[imt].append(
                      TAU_EXECUTION[self.tau_model](imt, mag, tau_mean))
                  t_std[imt].append(
                      TAU_EXECUTION[self.tau_model](imt, mag, tau_std))
          return t_bar, t_std
docs: Gets the vector of mean and variance of tau values corresponding to
          the specific model and returns them as dictionaries