def single(self, trigs):
        """Calculate the single detector statistic.

        Parameters
        ----------
        trigs: dict of numpy.ndarrays, h5py group (or similar dict-like object)
            Dictionary-like object holding single detector trigger information.

        Returns
        -------
        newsnr: numpy.ndarray
            Array of single detector values
        """
        newsnr = ranking.get_newsnr(trigs)
        rchisq = trigs['chisq'][:] / (2. * trigs['chisq_dof'][:] - 2.)
        newsnr[numpy.logical_and(newsnr < 10, rchisq > 2)] = -1
        return newsnr
Calculate the single detector statistic.

        Parameters
        ----------
        trigs: dict of numpy.ndarrays, h5py group (or similar dict-like object)
            Dictionary-like object holding single detector trigger information.

        Returns
        -------
        newsnr: numpy.ndarray
            Array of single detector values