Increased Burstiness at High Redshift in Multi-Physics Models Combining Supernova Feedback, Radiative Transfer and Cosmic Rays
Tibor Dome, Sergio Martin-Alvarez, Sandro Tacchella, Yuxuan Yuan,, Debora Sijacki

TL;DR
This study compares star formation variability in high-redshift galaxy models with different physics, finding that cosmic rays and radiative transfer significantly influence burstiness and better match observations.
Contribution
It introduces a multi-physics simulation suite including cosmic rays and radiative transfer, revealing their impact on star formation burstiness at high redshift.
Findings
RTnsCRiMHD model shows more regular star formation cycles.
Cosmic rays increase scatter in star formation burstiness.
Simulation spectra match observed low-mass quiescent galaxy at z=7.3.
Abstract
We study star formation variability, or burstiness, as a method to constrain and compare different galaxy formation models at high redshift using the Azahar simulation suite. The models range from magneto-hydrodynamics with a magneto-thermo-turbulent prescription for star formation (iMHD) to more sophisticated setups incorporating radiative transfer (RTiMHD) and cosmic ray physics (RTnsCRiMHD). Analysing a sample of galaxies at redshifts , we find that the RTnsCRiMHD model exhibits more regular star formation periodicity compared to iMHD and RTiMHD, as revealed by the Lomb-Scargle periodogram. While the RTiMHD model captures a notable degree of stochasticity in star formation without cosmic rays, RTnsCRiMHD galaxies display even greater scatter in the burst intensity and in the scatter around the star-forming main sequence. To evaluate the burstiness in RTnsCRiMHD against…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Cosmology and Gravitation Theories · Pulsars and Gravitational Waves Research
