code: def classify_sources(catalog, sources=None):
      
      moments = catalog.moments_central
      if sources is None:
          sources = (0, len(moments))
      num_sources = sources[1] - sources[0]
      srctype = np.zeros((num_sources,), np.int32)
      for src in range(sources[0], sources[1]):
          # Protect against spurious detections
          src_x = catalog[src].xcentroid
          src_y = catalog[src].ycentroid
          if np.isnan(src_x) or np.isnan(src_y):
              continue
          x, y = np.where(moments[src] == moments[src].max())
          if (x[0] > 1) and (y[0] > 1):
              srctype[src] = 1
  
      return srctype
docs: Convert moments_central attribute for source catalog into star/cr flag.
  
      This algorithm interprets the central_moments from the source_properties
      generated for the sources as more-likely a star or a cosmic-ray.  It is not
      intended or expected to be precise, merely a means of making a first cut at
      removing likely cosmic-rays or other artifacts.
  
      Parameters
      ----------
      catalog : `~photutils.SourceCatalog`
          The photutils catalog for the image/chip.
  
      sources : tuple
          Range of objects from catalog to process as a tuple of (min, max).
          If None (default) all sources are processed.
  
      Returns
      -------
      srctype : ndarray
          An ndarray where a value of 1 indicates a likely valid, non-cosmic-ray
          source, and a value of 0 indicates a likely cosmic-ray.