Tracer particles for core-collapse supernova nucleosynthesis: The advantages of moving backward
Andre Sieverding, Preston G. Waldrop, J. Austin Harris, W. Raphael, Hix, Eric J. Lentz, Stephen W. Bruenn, O.E. Bronson Messer

TL;DR
This study compares backward and forward tracer particle reconstruction methods in multi-dimensional supernova simulations, finding backward integration more accurately reproduces nucleosynthesis yields, especially for rare isotopes, when inline tracers are unavailable.
Contribution
It demonstrates that backward integration of tracer particles better matches inline results for nucleosynthesis, especially after nuclear statistical equilibrium, improving post-processing accuracy.
Findings
Backward integration aligns closely with inline particle results.
Differences are larger for rare isotopes produced by few particles.
Backward method is recommended when inline tracers are not available.
Abstract
After decades, the theoretical study of core-collapse supernova explosions is moving from parameterized, spherically symmetric models to increasingly realistic multi-dimensional simulations. Obtaining nucleosynthesis yields based on such multi-dimensional core-collapse supernova (CCSN) simulations, however, is not straightforward and frequently tracer particles are employed. Tracer particles may be tracked in situ during the simulation, but often they are reconstructed in a post-processing step based on the information saved during the hydrodynamics simulation. Reconstruction can be done in a number of ways and here we compare the approaches of backward and forward integration of the equations of motion to the results based on inline particle trajectories. We find that both methods agree reasonably well with the inline results for isotopes for which a large number of particles…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Astro and Planetary Science · Astrophysics and Cosmic Phenomena
