2022
DOI: 10.1051/0004-6361/202141099
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Systematic evaluation of variability detection methods for eROSITA

Abstract: The reliability of detecting source variability in sparsely and irregularly sampled X-ray light curves is investigated. This is motivated by the unprecedented survey capabilities of eROSITA on board the Spektrum-Roentgen-Gamma (SRG) observatory, providing light curves for many thousand sources in its nal-depth equatorial deep-eld survey. Four methods for detecting variability are evaluated: excess variance, amplitude maximum deviations, Bayesian blocks, and a new Bayesian formulation of the excess variance. We… Show more

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Cited by 8 publications
(6 citation statements)
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“…Light curves were also extracted using eSASS and analysed using bexvar to search for variability (Buchner et al 2022 ). Variability in bexvar is quantified by the intrinsic scatter ( σ bexvar ) on the assumed log-normal distribution of count rates in an y giv en time bin (see section 3 of Buchner et al 2022 ).…”
Section: Erosita Obser V Ationsmentioning
confidence: 99%
“…Light curves were also extracted using eSASS and analysed using bexvar to search for variability (Buchner et al 2022 ). Variability in bexvar is quantified by the intrinsic scatter ( σ bexvar ) on the assumed log-normal distribution of count rates in an y giv en time bin (see section 3 of Buchner et al 2022 ).…”
Section: Erosita Obser V Ationsmentioning
confidence: 99%
“…Using the source and background spectra extraction regions, we also extract light curves in the 0.2-5 keV band with a bin size of 100s and search for X-ray variability using the maximum amplitude method (Boller et al 2016;Buchner et al 2022). From each light curve, we find the time bin with the lowest count rate upper limit (Rate + ∆Rate) and the bin with the highest count rate lower limit (Rate − ∆Rate, where ∆Rate is the 1-σ count rate uncertainty), and use these two bins to define a vari- The measurement of V and S is dependent on the time bin size.…”
Section: X-ray Variabilitymentioning
confidence: 99%
“…Some low-S cases might be due to random fluctuation. Following Buchner et al (2022), we adopt a threshold of S > 2.6 to guarantee a 3-σ purity. It results in 99 variable sources.…”
Section: X-ray Variabilitymentioning
confidence: 99%
See 1 more Smart Citation
“…In a series of accompanying papers, we will present the identification of the multiwavelength counterparts of point-like (Salvato et al 2022;Schneider et al 2022) and extended (Klein et al 2022) X-ray sources; the resulting clean catalogues of clusters of galaxies (Liu et al 2022a;Bulbul et al 2022), active galactic nuclei (AGN) (Liu et al 2022b;Nandra et al, in prep. ) and stars (Schneider et al 2022); the X-ray variability properties of the detected sources (Boller et al 2022;Buchner et al 2022); the X-ray spectral analysis of the point sources (Liu et al 2022b); the X-ray morphological analysis of the clusters (Ghirardini et al 2022); the optical and lensing analysis of the X-ray clusters (Ramos-Ceja et al 2022;Chiu et al 2022;Bahar et al 2022, Ota et al, in prep. ); the properties of non-active galaxies detected by eROSITA (Vulic et al 2022), and the discovery of some extreme AGN (Toba et al 2022;Brusa et al 2022).…”
Section: Introductionmentioning
confidence: 99%