code: def get_newsnr(trigs):
      
      dof = 2. * trigs['chisq_dof'][:] - 2.
      nsnr = newsnr(trigs['snr'][:], trigs['chisq'][:] / dof)
      return numpy.array(nsnr, ndmin=1, dtype=numpy.float32)
docs: Calculate newsnr ('reweighted SNR') for a trigs object
  
      Parameters
      ----------
      trigs: dict of numpy.ndarrays, h5py group (or similar dict-like object)
          Dictionary-like object holding single detector trigger information.
          'chisq_dof', 'snr', and 'chisq' are required keys
  
      Returns
      -------
      numpy.ndarray
          Array of newsnr values