code: def get_metadata(self, lcid):
          
          if self._metadata is None:
              self._metadata = fetch_rrlyrae_lc_params()
          i = np.where(self._metadata['id'] == lcid)[0]
          if len(i) == 0:
              raise ValueError("invalid lcid: {0}".format(lcid))
          return self._metadata[i[0]]
docs: Get the parameters derived from the fit for the given id.
          This is table 2 of Sesar 2010