discrete_correlation#

gammapy.stats.discrete_correlation(flux1, flux_err1, flux2, flux_err2, time1, time2, tau, axis=0)[source]#

Compute the discrete correlation function for a variable source.

Parameters:

flux1, flux_err1: `~astropy.units.Quantity`: The first set of measured fluxes and associated error.
flux2, flux_err2Quantity: The second set of measured fluxes and associated error.
time1, time2Quantity: The time coordinates at which the fluxes are measured.
tauQuantity: Size of the bins to compute the discrete correlation.
axisint, optional: Axis along which the correlation is computed. Default is 0.

Returns:

bincenters: Quantity: Array of discrete time bins.
discrete_correlation: ndarray: Array of discrete correlation function values for each bin.
discrete_correlation_errndarray: Error associated to the discrete correlation values.

References

[Edelson1988]

“THE DISCRETE CORRELATION FUNCTION: A NEW METHOD FOR ANALYZING UNEVENLY SAMPLED VARIABILITY DATA”, Edelson et al. (1988) https://ui.adsabs.harvard.edu/abs/1988ApJ…333..646E/abstract