Momentum Injection by Clustered Supernovae: Testing Subgrid Feedback Prescriptions
Eric S. Gentry, Piero Madau, Mark R. Krumholz

TL;DR
This study evaluates three supernova feedback models in a controlled 1D simulation to determine their effectiveness in replicating the momentum injection observed in high-resolution clustered supernovae scenarios.
Contribution
It provides a comparative analysis of common supernova feedback recipes in a more complex, yet controlled, setting than previous simplified models.
Findings
Delayed cooling performs well with clustered SNe at high momentum efficiency.
Momentum-energy model consistently achieves good results across tests.
Simultaneous energy injection underperforms, underestimating momentum in clustered SNe.
Abstract
Using a 1D Lagrangian code specifically designed to assess the impact of multiple, time-resolved supernovae (SNe) from a single star cluster on the surrounding medium, we test three commonly used feedback recipes: delayed cooling (e.g., used in the GASOLINE-2 code), momentum-energy injection (a resolution-dependent transition between momentum-dominated feedback and energy-dominated feedback used, e.g., in the FIRE-2 code), and simultaneous energy injection (e.g., used in the EAGLE simulations). Our work provides an intermediary test for these recipes: we analyse a setting that is more complex than the simplified scenarios for which many were designed, but one more controlled than a full galactic simulation. In particular, we test how well these models reproduce the enhanced momentum efficiency seen for an 11 SN cluster simulated at high resolution (0.6 pc; a factor of 12 enhancement…
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