Can the low-redshift Lyman alpha forest constrain AGN feedback models? Article Swipe
Vikram Khaire
,
Teng Hu
,
Joseph F. Hennawi
,
Michael Walther
,
Frederick B. Davies
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stad3374
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/mnras/stad3374
We investigate the potential of low-redshift Lyman alpha (Lyα) forest for constraining active galactic nuclei (AGNs) feedback models by analysing 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 per cent relative to 39 per cent in IllustrisTNG. However, when comparing various statistics of Lyα 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 feedback models. This lack of sensitivity arises because of the fundamental degeneracy between the fraction of cool baryons and the H i photoionization rate (ΓHI) as their product determines the optical depth of the Lyα forest. Since the ΓHI cannot be precisely predicted from first principles, it needs to be treated as a nuisance parameter adjusted to match the observed Lyα line density. After adjusting ΓHI, the distinctions in the considered statistics essentially fade away. Only the Lyα flux power spectrum at small spatial scales exhibits potentially observable differences, although this may be specific to the relatively extreme feedback model employed in Illustris. Without independent constraints on either ΓHI or cool baryon fraction, constraining AGN feedback with low-redshift Lyα forest will be very challenging.
Related Topics
Concepts
Physics
Lyman-alpha forest
Astrophysics
Redshift
Baryon
Spectral density
Observable
Flux (metallurgy)
Intergalactic medium
Quasar
Statistics
Galaxy
Quantum mechanics
Metallurgy
Mathematics
Materials science
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/mnras/stad3374
- https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stad3374/53050155/stad3374.pdf
- OA Status
- hybrid
- Cited By
- 7
- References
- 128
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388574550
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388574550Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/mnras/stad3374Digital Object Identifier
- Title
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Can the low-redshift Lyman alpha forest constrain AGN feedback models?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-11-08Full publication date if available
- Authors
-
Vikram Khaire, Teng Hu, Joseph F. Hennawi, Michael Walther, Frederick B. DaviesList of authors in order
- Landing page
-
https://doi.org/10.1093/mnras/stad3374Publisher landing page
- PDF URL
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https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stad3374/53050155/stad3374.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://academic.oup.com/mnras/advance-article-pdf/doi/10.1093/mnras/stad3374/53050155/stad3374.pdfDirect OA link when available
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Physics, Lyman-alpha forest, Astrophysics, Redshift, Baryon, Spectral density, Observable, Flux (metallurgy), Intergalactic medium, Quasar, Statistics, Galaxy, Quantum mechanics, Metallurgy, Mathematics, Materials scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 5Per-year citation counts (last 5 years)
- References (count)
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128Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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