Statistical properties of the combined emission of a population of discrete sources: astrophysical implications
M.Gilfanov, H-J.Grimm & R.Sunyaev

TL;DR
This paper analyzes the statistical behavior of the total emission from populations of discrete sources, revealing non-linear growth and variability patterns due to small number statistics, with implications for astrophysical observations.
Contribution
It provides exact solutions and analytical approximations for the combined luminosity and variability of source populations, highlighting non-linear regimes caused by small number effects.
Findings
Total luminosity can grow non-linearly with number of sources due to small number statistics.
RMS variability decreases more slowly than 1/sqrt(N) in the non-linear regime.
Predicted X-ray luminosity relations agree with observations for certain galaxy populations.
Abstract
We study the statistical properties of the combined emission of a population of discrete sources (e.g. X-ray emission of a galaxy due to its X-ray binaries population). Namely, we consider the dependence of their total luminosity L_tot=SUM(L_k) and of fractional rms_tot of their variability on the number of sources N or, equivalently, on the normalization of the luminosity function. We show that due to small number statistics a regime exists, in which L_tot grows non-linearly with N, in an apparent contradiction with the seemingly obvious prediction <L_tot>=integral(dN/dL*L*dL) ~ N. In this non-linear regime, the rms_tot decreases with N significantly more slowly than expected from the rms ~ 1/sqrt(N) averaging law. For example, for a power law luminosity function with a slope of a=3/2, in the non-linear regime, L_tot ~ N^2 and the rms_tot does not depend at all on the number of sources…
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