docs: def _list_crossmatch(
              self,
              dbRows):
          """*to a finer grain crossmatch of the input coordinates and the database results.*
  
          **Key Arguments:**
              - ``dbRows`` -- the rows return from the database on first crossmatch pass.
  
          **Return:**
              - ``matchIndices1`` -- indices of the coordinate in the original ra and dec lists
              - ``matches`` -- the matched database rows
          """
          self.log.debug('starting the ``_list_crossmatch`` method')
  
          dbRas = []
          dbRas[:] = [d[self.raCol] for d in dbRows]
          dbDecs = []
          dbDecs[:] = [d[self.decCol] for d in dbRows]
  
          # 12 SEEMS TO BE GIVING OPTIMAL SPEED FOR MATCHES (VERY ROUGH SPEED
          # TESTS)
          mesh = HTM(
              depth=12,
              log=self.log
          )
  
          if self.closest:
              maxmatch = 1
          else:
              maxmatch = 0
          matchIndices1, matchIndices2, seps = mesh.match(
              ra1=self.ra,
              dec1=self.dec,
              ra2=np.array(dbRas),
              dec2=np.array(dbDecs),
              radius=float(self.radius / (60. * 60.)),
              maxmatch=maxmatch  # 1 = match closest 1, 0 = match all
          )
  
          matches = []
  
          for m1, m2, s in zip(matchIndices1, matchIndices2, seps):
              if self.separations:
                  dbRows[m2]["cmSepArcsec"] = s * (60. * 60.)
              matches.append(dbRows[m2])
  
          self.log.debug('completed the ``_list_crossmatch`` method')
          return matchIndices1, matches