On the determination of log-normal flux distributions for astrophysical systems
Zahir Shah, Ranjeev Misra, Atreyee Sinha

TL;DR
This paper provides guidelines for testing whether astrophysical source fluxes follow Gaussian or log-normal distributions, considering factors like lightcurve length, variability, and noise, with practical applications to gamma-ray data.
Contribution
It offers empirical fits and critical values for skewness and AD tests tailored to different noise spectra, improving reliability of flux distribution analysis.
Findings
Tests are unreliable for white noise due to binning effects.
Skewness variance does not decrease for $eta geq 1.5$, limiting test applicability.
Application to Fermi data confirms a log-normal flux distribution for a blazar.
Abstract
Determining whether the flux distribution of an Astrophysical source is a Gaussian or a log-normal, provides key insight into the nature of its variability. For lightcurves of moderate length (), a useful first analysis is to test the Gaussianity of the flux and logarithm of the flux, by estimating the skewness and applying the Anderson-Darling (AD) method. We perform extensive simulations of lightcurves with different lengths, variability, Gaussian measurement errors and power spectrum index (i.e. ), to provide a prescriptionand guidelines for reliable use of these two tests. We present empirical fits for the expected standard deviation of skewness and tabulated AD test critical values for and , which differ from the values given in the literature which are for white noise (). Moreover, we show that for white noise,…
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