def coinc(self, s0, s1, slide, step):
        """
        Calculate the coincident detection statistic.

        Parameters
        ----------
        s0: numpy.ndarray
            Single detector ranking statistic for the first detector.
        s1: numpy.ndarray
            Single detector ranking statistic for the second detector.
        slide: numpy.ndarray
            Array of ints. These represent the multiple of the timeslide
        interval to bring a pair of single detector triggers into coincidence.
        step: float
            The timeslide interval in seconds.

        Returns
        -------
        coinc_stat: numpy.ndarray
            An array of the coincident ranking statistic values
        """
        rstat = s0['snglstat']**2. + s1['snglstat']**2.
        cstat = rstat + 2. * self.logsignalrate(s0, s1, slide, step)
        cstat[cstat < 0] = 0
        return cstat ** 0.5
Calculate the coincident detection statistic.

        Parameters
        ----------
        s0: numpy.ndarray
            Single detector ranking statistic for the first detector.
        s1: numpy.ndarray
            Single detector ranking statistic for the second detector.
        slide: numpy.ndarray
            Array of ints. These represent the multiple of the timeslide
        interval to bring a pair of single detector triggers into coincidence.
        step: float
            The timeslide interval in seconds.

        Returns
        -------
        coinc_stat: numpy.ndarray
            An array of the coincident ranking statistic values