Accurate tracer particles of baryon dynamics in the adaptive mesh refinement code Ramses
Corentin Cadiou, Yohan Dubois, Christophe Pichon

TL;DR
This paper introduces a Monte Carlo-based tracer particles algorithm for the Ramses code, improving accuracy in tracking baryon dynamics and enabling detailed studies of gas, stars, and black holes in astrophysical simulations.
Contribution
The paper presents a novel Monte Carlo tracer particles implementation in Ramses, enhancing accuracy over velocity-based methods and allowing full baryon cycle tracking.
Findings
Monte Carlo tracers reproduce gas distribution more accurately.
Tracer particles follow baryon cycles including star formation and black hole accretion.
Scheme adds ~3% computational overhead per tracer.
Abstract
We present a new implementation of the tracer particles algorithm based on a Monte Carlo approach for the Eulerian adaptive mesh refinement code Ramses. The purpose of tracer particles is to keep track of where fluid elements originate in Eulerian mesh codes, so as to follow their Lagrangian trajectories and re-processing history. We provide a comparison to the more commonly used velocity-based tracer particles, and show that the Monte Carlo approach reproduces the gas distribution much more accurately. We present a detailed statistical analysis of the properties of the distribution of tracer particles in the gas and report that it follows a Poisson law. We extend these Monte Carlo gas tracer particles to tracer particles for the stars and black holes, so that they can exchange mass back and forth between themselves. With such a scheme, we can follow the full cycle of baryons, that is,…
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