Distinguishing Tidal Disruption Events from Impostors
Ann Zabludoff, Iair Arcavi, Stephanie La Massa, Hagai B. Perets, Benny, Trakhtenbrot, B. Ashley Zauderer, Katie Auchettl, Jane L. Dai, K. Decker, French, Tiara Hung, Erin Kara, Giuseppe Lodato, W. Peter Maksym, Yujing Qin,, Enrico Ramirez-Ruiz, Nathaniel Roth, Jessie C. Runnoe

TL;DR
This paper reviews the challenges in accurately identifying tidal disruption events (TDEs) among various astrophysical transients and proposes using multiple observables for reliable classification.
Contribution
It provides a comprehensive review of TDE characteristics, compares them with impostors, and suggests a multi-observable approach for improved TDE identification.
Findings
Multiple observables are necessary to classify TDEs reliably.
Certain host galaxy and SMBH features statistically distinguish TDEs from non-TDEs.
TDE candidates show distinct population characteristics based on host properties.
Abstract
Recent claimed detections of tidal disruption events (TDEs) in multi-wavelength data have opened potential new windows into the evolution and properties of otherwise dormant supermassive black holes (SMBHs) in the centres of galaxies. At present, there are several dozen TDE candidates, which share some properties and differ in others. The range in properties is broad enough to overlap other transient types, such as active galactic nuclei (AGN) and supernovae (SNe), which can make TDE classification ambiguous. A further complication is that "TDE signatures" have not been uniformly observed to similar sensitivities or even targeted across all candidates. This chapter reviews those events that are unusual relative to other TDEs, including the possibility of TDEs in pre-existing AGN, and summarises those characteristics thought to best distinguish TDEs from continuously accreting AGN,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
