Predicting the Properties of the Fallback Rate from Tidal Disruption Events: Investigating the Maximum Gravity Model
Julia Fancher, Ananya Bandopadhyay, Eric R. Coughlin, C.J. Nixon

TL;DR
This study tests the maximum gravity model for predicting fallback rates in tidal disruption events using hydrodynamical simulations, finding good agreement especially for stars near the zero-age main sequence and incorporating relativistic effects for deep encounters.
Contribution
The paper validates and extends the maximum gravity model for TDEs by comparing it with simulations across various stellar types and including relativistic gravity effects.
Findings
Excellent agreement for stars near zero-age main sequence
Less accurate but within 35-50% for evolved stars
Incorporating relativistic gravity improves model accuracy
Abstract
A star destroyed by the tidal field of a supermassive black hole (SMBH) in a tidal disruption event (TDE) gives rise to a luminous flare. TDEs are being detected at an ever-increasing rate, motivating the need for accurate models of their lightcurves. The ``maximum gravity'' (MG) model posits that a star is completely destroyed when the tidal field of the SMBH exceeds the maximum self-gravitational field within the star, , and predicts the peak fallback rate and the time to peak . Here we perform hydrodynamical simulations of the complete disruption of 24 stars with masses ranging from , at different stages of their main sequence evolution, to test the predictions of this model. We find excellent agreement between the MG model predictions and our simulations for stars near the zero-age main sequence, while the predictions…
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Taxonomy
TopicsGeological formations and processes
