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Statistical properties of the combined emission of a population of discrete sources: astrophysical implications
We study the statistical properties of the combined emission of a population of discrete sources (for example, the X-ray emission of a galaxy due to its population of X-ray binaries). Namely, we consider the dependence of their total luminosity and of the fractional rmstot of their variability on th...
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Published in: | Monthly notices of the Royal Astronomical Society 2004-07, Vol.351 (4), p.1365-1378 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | We study the statistical properties of the combined emission of a population of discrete sources (for example, the X-ray emission of a galaxy due to its population of X-ray binaries). Namely, we consider the dependence of their total luminosity and of the fractional rmstot of their variability on the number of sources n or, equivalently, on the normalization of the luminosity function. We show that, as a result of small number statistics, a regime exists in which Ltot grows non-linearly with n, in apparent contradiction with the seemingly obvious prediction . In this non-linear regime, rmstot decreases with n significantly more slowly than expected from the averaging law. For example, for a power-law luminosity function with a slope of α= 3/2, in the non-linear regime, Ltot∝n2 and rmstot does not depend at all on the number of sources n. Only in the limit of n→∞ do these quantities behave as intuitively expected, Ltot∝n and . We give exact solutions and derive convenient analytical approximations for Ltot and rmstot. Using the total X-ray luminosity of a galaxy due to its X-ray binary population as an example, we show that the LX–star formation rate and LX–M* relations predicted from the respective ‘universal’ luminosity functions of high- and low-mass X-ray binaries are in good agreement with observations. Although caused by small number statistics, the non-linear regime in these examples extends as far as SFR ≲ 4–5 M⊙ yr−1 and log(M*/M⊙) ≲ 10.0–10.5, respectively. |
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ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1111/j.1365-2966.2004.07874.x |