Published October 1, 2022 | Version public
Journal Article

Dynamical Unification of Tidal Disruption Events

  • 1. ROR icon University of Hong Kong
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Lawrence Livermore National Laboratory
  • 4. ROR icon University of California, Santa Cruz
  • 5. ROR icon University of Copenhagen

Abstract

The ∼100 tidal disruption events (TDEs) observed so far exhibit a wide range of emission properties both at peak and over their lifetimes. Some TDEs radiate predominantly at X-ray energies, while others radiate chiefly at UV and optical wavelengths. While the peak luminosities across TDEs show distinct properties, the evolutionary behavior can also vary between TDEs with similar peak emission properties. In particular, for optical TDEs, while their UV and optical emissions decline somewhat following the fallback pattern, some events can greatly rebrighten in X-rays at late time. In this Letter, we conduct three-dimensional general relativistic radiation magnetohydrodynamics simulations of TDE accretion disks at varying accretion rates in the regime of super-Eddington accretion. We make use of Monte Carlo radiative transfer simulations to calculate the reprocessed spectra at various inclinations and at different evolutionary stages. We confirm the unified model proposed by Dai et al., which predicts that the observed emission largely depends on the viewing angle of the observer with respect to the disk orientation. Furthermore, we find that disks with higher accretion rates have elevated wind and disk densities, which increases the reprocessing of the high-energy radiation and thus generally augments the optical-to-X-ray flux ratio along a particular viewing angle. This implies that at later times, as the accretion level declines, we expect that more X-rays will leak out along intermediate viewing angles. Such dynamical model for TDEs can provide a natural explanation for the diversity in the emission properties observed in TDEs at peak and along their temporal evolution.

Additional Information

We thank K. Auchettl, C. Bonnerot, M. Bulla, J. Garcia, S. Gezari, E. Kara, D. Kasen, C. Knigge, G. Leloudas, B. Mockler, N. Stone, and S. van Velzen for useful discussions. We also acknowledge the anonymous referee for constructive comments. L.T., T.K., and L.D. acknowledge the support from the Hong Kong Research Grants Council (HKU27305119, HKU17304821) and the National Natural Science Foundation of China (HKU12122309). E.R.-R. is grateful for support from the Heising-Simons Foundation, NSF (AST-1615881, AST-1911206, and AST-1852393), Swift (80NSSC21K1409, 80NSSC19K1391), and Chandra (GO9-20122X). This material is based on work supported by the National Science Foundation Graduate Research Fellowship under grant No. DGE-1745301. The simulations carried out for this project were performed on the HPC computing facilities offered by ITS at HKU and the Tianhe-2 supercluster.

Additional details

Identifiers

Eprint ID
117301
Resolver ID
CaltechAUTHORS:20221010-454096500.16

Funding

Research Grants Council of Hong Kong
HKU27305119
National Natural Science Foundation of China
HKU12122309
Heising-Simons Foundation
NSF
AST-1615881
NSF
AST-1911206
NSF
AST-1852393
NASA
80NSSC21K1409
NASA
80NSSC19K1391
NASA
GO9-20122X
NSF Graduate Research Fellowship
DGE-1745301

Dates

Created
2022-10-14
Created from EPrint's datestamp field
Updated
2022-10-14
Created from EPrint's last_modified field