The Low-redshift Lyα Forest as a Constraint for Models of AGN Feedback

Burkhart, Blakesley and Tillman, Megan and Gurvich, Alexander B. and Bird, Simeon and Tonnesen, Stephanie and Bryan, Greg L. and Hernquist, Lars and Somerville, Rachel S. (2022) The Low-redshift Lyα Forest as a Constraint for Models of AGN Feedback. The Astrophysical Journal Letters, 933 (2). L46. ISSN 2041-8205

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Abstract

We study the sensitivity of the z = 0.1 Lyα forest observables, such as the column density distribution function (CDD), flux PDF, flux power spectrum, and line-width distribution, to subgrid models of active galactic nucleus (AGN) feedback using the Illustris and IllustrisTNG (TNG) cosmological simulations. The two simulations share an identical ultraviolet background (UVB) prescription and similar cosmological parameters, but TNG features an entirely reworked AGN feedback model. Due to changes in the AGN radio-mode model, the original Illustris simulations have a factor of 2–3 fewer Lyα absorbers than TNG at column densities NH i < 1015.5 cm−2. We compare the simulated forest statistics to UV data from the Cosmic Origins Spectrograph (COS) and find that neither simulation can reproduce the slope of the absorber distribution. Both Illustris and TNG also produce significantly smaller line-width distributions than observed in the COS data. We show that TNG is in much better agreement with the observed z = 0.1 flux power spectrum than Illustris. We explore which statistics can disentangle the effects of AGN feedback from alternative UVB models by rescaling the UVB of Illustris to produce a CDD match to TNG. While this UVB rescaling is degenerate with the effect of AGN feedback on the CDD, the amplitude and shape of the flux PDF and 1D flux power spectrum change in a way distinct from the scaling of the UVB. Our study suggests that the z = 0.1 Lyα forest observables can be used as a diagnostic of AGN feedback models.

Item Type: Article
Subjects: East India library > Physics and Astronomy
Depositing User: Unnamed user with email support@eastindialibrary.com
Date Deposited: 25 Apr 2023 07:09
Last Modified: 20 Sep 2024 04:25
URI: http://info.paperdigitallibrary.com/id/eprint/908

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