Utilizing Maximum Variability to Discern TDE Emission from AGN Flares
Samaresh Mondal, K. Decker French

TL;DR
This study develops a variability-based method to distinguish TDEs from AGN flares in X-ray surveys by analyzing their maximum variability patterns over different timescales.
Contribution
It introduces a threshold of maximum X-ray variability as a function of time to differentiate TDEs from AGN activity, validated through cross-matched catalogs and variability analysis.
Findings
AGN X-ray variability follows a broken power-law with a damping timescale of ~950 days.
TDEs exhibit larger-scale variations over ~20 days, less common in AGNs.
Many eROSITA TDE candidates are consistent with AGN flares, not true TDEs.
Abstract
X-ray emission arising from active galactic nucleus (AGN) activity may potentially mimic the expected emission of tidal disruption events (TDEs). Ongoing and upcoming wide-field X-ray surveys will detect thousands of TDE-like sources, and classifying them securely as TDEs or AGNs is a challenging task. To this aim, we measure the average X-ray variability of AGNs and derive a threshold of maximum variation as a function of time separating the TDEs from AGN flares. For the comparison between TDE and AGN X-ray variability, we cross-match the publicly available XMM-Newton and Swift-XRT point source catalogs with the Million Quasars Catalog and optically selected TDEs. Then we compute the X-ray structure function (SF) and maximum variability of the AGN and TDE samples. The X-ray SF of AGNs has a power-law index when fitted with a simple power-law model. However, the SF…
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