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IGM Constraints from the SDSS-III/BOSS DR9 Lyα Forest Transmission Probability Distribution Function

Lee, K. G.
•
Spergel, D. N.
•
Weinberg, D. H.
altro
Viel, Matteo
2015
  • journal article

Periodico
THE ASTROPHYSICAL JOURNAL
Abstract
The Lyα forest transmission probability distribution function (PDF) is an established probe of the intergalactic medium (IGM) astrophysics, especially the temperature-density relationship of the IGM. We measure the transmission PDF from 3393 Baryon Oscillations Spectroscopic Survey (BOSS) quasars from SDSS Data Release 9, and compare with mock spectra that include careful modeling of the noise, continuum, and astrophysical uncertainties. The BOSS transmission PDFs, measured at ⟨z⟩=[2.3,2.6,3.0], are compared with PDFs created from mock spectra drawn from a suite of hydrodynamical simulations that sample the IGM temperature-density relationship, γ, and temperature at mean-density, T0, where T(Δ)=T0Δγ−1. We find that a significant population of partial Lyman-limit systems with a column-density distribution slope of βpLLS∼−2 are required to explain the data at the low-transmission end of transmission PDF, while uncertainties in the mean Lyα forest transmission affect the high-transmission end. After modelling the LLSs and marginalizing over mean-transmission uncertainties, we find that γ=1.6 best describes the data over our entire redshift range, although constraints on T0 are affected by systematic uncertainties. Within our model framework, isothermal or inverted temperature-density relationships (γ≤1) are disfavored at a significance of over 4σ, although this could be somewhat weakened by cosmological and astrophysical uncertainties that we did not model.
DOI
10.1088/0004-637X/799/2/196
WOS
WOS:000348820900083
Archivio
http://hdl.handle.net/20.500.11767/14717
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84922461091
https://arxiv.org/abs/1405.1072
Diritti
open access
Soggetti
  • Settore FIS/05 - Astr...

Scopus© citazioni
50
Data di acquisizione
Jun 14, 2022
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Web of Science© citazioni
62
Data di acquisizione
Mar 24, 2024
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Data di acquisizione
Apr 19, 2024
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