Can the Low Redshift Lyman Alpha Forest Constrain AGN Feedback Models?
Vikram Khaire, Teng Hu, Joseph F. Hennawi, Michael Walther, Frederick, Davies

TL;DR
This study assesses whether low-redshift Lyman alpha forest data can distinguish between different AGN feedback models, finding that most statistics are insensitive due to degeneracies, except possibly small-scale flux power spectrum differences.
Contribution
It demonstrates the limited constraining power of low-redshift Lyα forest statistics on AGN feedback models due to degeneracies with the photoionization rate.
Findings
Most Lyα forest statistics are insensitive to feedback differences.
Degeneracy between cool baryon fraction and photoionization rate hampers constraints.
Small-scale flux power spectrum may reveal feedback effects.
Abstract
We investigate the potential of low-redshift Lyman alpha (Ly) forest for constraining active galactic nuclei (AGN) feedback models by analyzing the Illustris and IllustrisTNG simulation at z=0.1. These simulations are ideal for studying the impact of AGN feedback on the intergalactic medium (IGM) as they share initial conditions with significant differences in the feedback prescriptions. Both simulations reveal that the IGM is significantly impacted by AGN feedback. Specifically, feedback is stronger in Illustris and results in reducing cool baryon fraction to 23% relative to 39% in IllustrisTNG. However, when comparing various statistics of Ly forest such as 2D and marginalized distributions of Doppler widths and H I column density, line density, and flux power spectrum with real data, we find that most of these statistics are largely insensitive to the differences in…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Radio Astronomy Observations and Technology · Astronomy and Astrophysical Research
