On the Analytical Distribution of Superimposed Flares

Mathematics – Probability

Scientific paper

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Scientific paper

We present an exactly solvable statistical model which relates the probability density of flare amplitudes to the count rate histogram of observed light curves under the assumption that the flares occur at random and have similar shapes. The characteristic function (Fourier transform of the probability density) of the observed count rates is shown to be phic(s) = exp - lambda int-∞∞ dtbig[1-phia big(n(s)F(t)big)big] where phia(s) is the characteristic function of the flare amplitudes lambda is the flare rate n(s)=i-ieis accounts for the Poisson noise and F(t) is the flare shape convolved with the observational time bin. This result is evaluated for Lévy-distributed (powerlaw-type) flare amplitudes and applied to XMM observations of stellar flares from which estimates of the flare amplitude distribution are obtained.

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