Utilizing Maximum Variability to Discern TDE Emission from AGN Flares

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 γ ∼ 0.11–0.14 when fitted with a simple power-law model. However, the SF of AGNs is best described by a broken power law or a power exponential model with a damping timescale τ = 950 ± 300 days. The maximum variability comparison between TDE and simulated AGN light curves indicates they have a similar order of variation on a timescale of less than 20 days. However, at a longer timescale of ∼20 days or more, the large-scale variations expected from power-law-like decay in TDEs become less frequent in AGNs. Furthermore, we compare the maximum variability of eROSITA TDE candidates with AGNs, finding that many of the eROSITA-DE TDE candidates are consistent with flares from AGNs and may not be TDEs.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2025-11-24
DOI
https://doi.org/10.3847/1538-4357/ae122c
Primary Topic
Astrophysical Phenomena and Observations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing Maximum Variability to Discern TDE Emission from AGN Flares

K. Decker French, Samaresh Mondal
The Astrophysical Journal
Astrophysical Phenomena and Observations
article

Utilizing Maximum Variability to Discern TDE Emission from AGN Flares

K. Decker French, Samaresh Mondal
article en

Abstract

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 γ ∼ 0.11–0.14 when fitted with a simple power-law model. However, the SF of AGNs is best described by a broken power law or a power exponential model with a damping timescale τ = 950 ± 300 days. The maximum variability comparison between TDE and simulated AGN light curves indicates they have a similar order of variation on a timescale of less than 20 days. However, at a longer timescale of ∼20 days or more, the large-scale variations expected from power-law-like decay in TDEs become less frequent in AGNs. Furthermore, we compare the maximum variability of eROSITA TDE candidates with AGNs, finding that many of the eROSITA-DE TDE candidates are consistent with flares from AGNs and may not be TDEs.

The Astrophysical JournalVol. 994(2)
Urbana University (US)
Openalex Percentile: Top 75%
Astrophysical Phenomena and Observations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Utilizing Maximum Variability to Discern TDE Emission from AGN Flares — K. Decker French, Samaresh Mondal · The Astrophysical Journal (2025) | TGRS Research Map | TGRS