Pre-peak Emission in Tidal Disruption Events
Xiaoshan Huang, Shane W. Davis, Yan-fei Jiang

TL;DR
This study uses radiation hydrodynamic simulations to explore the early emission mechanisms in tidal disruption events, revealing how stream collisions influence outflows, luminosity, and gas circularization.
Contribution
It provides new insights into pre-peak emission processes, especially the role of stream-stream collisions and outflows in delaying gas circularization during tidal disruption events.
Findings
Stream-stream collisions can occur multiple times at super-Eddington fallback rates.
Outflows driven by collisions can reach up to 9 times the Eddington accretion rate.
Luminosity remains sub-Eddington and is weakly correlated with accretion rate early on.
Abstract
The rising part of a tidal disruption event light curve provides unique insight into early emission and the onset of accretion. Various mechanisms are proposed to explain the pre-peak emission, including shocks from debris interaction and reprocessing of disk emission. We study the pre-peak emission and its influence on the gas circularization by a series of gray radiation hydrodynamic simulations with varying black hole mass. We find that given a super-Eddington fallback rate of 10\dot{M}_{Edd}, the stream-stream collision can occur multiple times and drive strong outflows of up to 9\dot{M}_{Edd}. By dispersing gas to \gtrsim 100rs, the outflow can delay gas circularization and leads to sub-Eddington accretion rates during the first few stream-stream collisions. The stream-stream collision shock and circularization shock can sustain a luminosity of ~10^{44}erg/s for days. The…
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.
Taxonomy
TopicsMethane Hydrates and Related Phenomena · Atmospheric and Environmental Gas Dynamics
