Evaluating the Predictive Capacity of FLARES Simulations for High Redshift "Little Red Dots"
Louis M. T. Arts

TL;DR
This study evaluates the ability of FLARES simulations to replicate high-redshift 'little red dots' galaxies, finding significant discrepancies that suggest the need to incorporate stronger AGN feedback mechanisms in models.
Contribution
It provides a comparative analysis of simulated and observed properties of high-redshift galaxies, highlighting limitations of current models in explaining their luminosities.
Findings
FLARES overestimates galaxy number densities similar to observed LRDs.
Star formation rates are overestimated in FLARES simulations.
Results suggest current models underestimate AGN feedback effects.
Abstract
The recent discovery of little red dots - a population of extremely compact and highly dust-reddened high redshift galaxies - by the James Webb Space Telescope presents a new challenge to the fields of astrophysics and cosmology. Their remarkably high luminosities at redshifts 5 < z < 10, appear to challenge LambdaCDM cosmology and galaxy formation models, as they imply stellar masses and star formation rates that exceed the upper limits set by these models. LRDs are currently subjects of debate as the mechanisms behind their high luminosities are not yet fully understood. LRD energy outputs are thought to be either dominated by star formation or their energy output results from the hosting of active galactic nuclei. We investigate the starburst hypothesis by attempting to replicate the stellar properties of LRDs using output data from the FLARES simulation suite. Comparative analysis…
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Taxonomy
TopicsReal-time simulation and control systems · Embedded Systems and FPGA Design · Astronomical Observations and Instrumentation
