Modelling Galaxy Merger Timescales and Tidal Destruction
Vimal Simha, Shaun Cole
TL;DR
This paper introduces a hybrid model combining numerical and analytical techniques to predict galaxy merger timescales and tidal destruction, improving the accuracy of subhalo evolution modeling in cosmological simulations.
Contribution
It presents a novel method that integrates N-body simulation data with analytical prescriptions to better estimate subhalo merger times and tidal effects.
Findings
Halo occupation distributions agree within 3% across different resolutions
The model effectively accounts for dynamical friction and tidal disruption
Improves accuracy of subhalo evolution predictions in cosmological simulations
Abstract
We present a model for the dynamical evolution of subhaloes based on an approach combining numerical and analytical methods. Our method is based on tracking subhaloes in an N-body simulation up to the last point that it can be resolved, and applying an analytic prescription for its merger timescale that takes dynamical friction and tidal disruption into account. When applied to cosmological N-body simulations with mass resolutions that differ by two orders of magnitude, the technique produces halo occupation distributions that agree to within 3%.
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