wstat¶

gammapy.stats.wstat(n_on, n_off, alpha, mu_sig, mu_bkg=None, extra_terms=True)[source]¶

W statistic, for Poisson data with Poisson background.

For a definition of WStat see WStat : Poisson data with background measurement. If mu_bkg is not provided it will be calculated according to the profile likelihood formula.

Parameters

n_onarray_like: Total observed counts
n_offarray_like: Total observed background counts
alphaarray_like: Exposure ratio between on and off region
mu_sigarray_like: Signal expected counts
mu_bkgarray_like, optional: Background expected counts
extra_termsbool, optional: Add model independent terms to convert stat into goodness-of-fit parameter, default: True

Returns

References