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arXiv · 1405.1072

IGM Constraints from the SDSS-III/BOSS DR9 Ly-alpha Forest Flux Probability Distribution Function

Abstract

The Ly$α$ 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 $\langle z \rangle = [2.3,2.6,3.0]$, 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, $T_0$, where $T(Δ) = T_0 Δ^{γ-1}$. We find that a significant population of partial Lyman-limit systems with a column-density distribution slope of $β_\mathrm{pLLS} \sim -2$ are required to explain the data at the low-transmission end of transmission PDF, while uncertainties in the mean Ly$α$ 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 $T_0$ are affected by systematic uncertainties. Within our model framework, isothermal or inverted temperature-density relationships ($γ\leq 1$) are disfavored at a significance of over 4$σ$, although this could be somewhat weakened by cosmological and astrophysical uncertainties that we did not model.

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BibTeXRIS

Khee-Gan Lee, Joseph P. Hennawi, David N. Spergel, David H. Weinberg, David W. Hogg, Matteo Viel, James S. Bolton, Stephen Bailey, Matthew M. Pieri, William Carithers, David J. Schlegel, Britt Lundgren, Nathalie Palanque-Delabrouille, Nao Suzuki, Donald P. Schneider, Christophe Yeche. 2014-12-05. IGM Constraints from the SDSS-III/BOSS DR9 Ly-alpha Forest Flux Probability Distribution Function. https://doi.org/10.1088/0004-637x%2F799%2F2%2F196

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