2017
DOI: 10.1093/mnras/stx2862
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A new measurement of the intergalactic temperature at z ∼ 2.55–2.95

Abstract: We present two measurements of the temperature-density relationship (TDR) of the intergalactic medium (IGM) in the redshift range 2.55 < z < 2.95 using a sample of 13 high-quality quasar spectra and high resolution numerical simulations of the IGM. Our approach is based on fitting the neutral hydrogen column density N HI and the Doppler parameter b of the absorption lines in the Lyα forest. The first measurement is obtained using a novel Bayesian scheme which takes into account the statistical correlations bet… Show more

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Cited by 49 publications
(58 citation statements)
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“…To test if the source of this discrepancy originates from the way in which the Voigtprofile algorithm was applied to the respective datasets, we plotted the line width distributions for both our line lists for two intervals of 1 dex in N HI within the cut- Figure 22. Comparison of T 0 and γ contours in Rorai et al (2018) and this work (LS method in green, LD method in purple) at z = 2.8. The contours correspond to the 68% and 95% confidence regions.…”
Section: Acknowledgmentsmentioning
confidence: 98%
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“…To test if the source of this discrepancy originates from the way in which the Voigtprofile algorithm was applied to the respective datasets, we plotted the line width distributions for both our line lists for two intervals of 1 dex in N HI within the cut- Figure 22. Comparison of T 0 and γ contours in Rorai et al (2018) and this work (LS method in green, LD method in purple) at z = 2.8. The contours correspond to the 68% and 95% confidence regions.…”
Section: Acknowledgmentsmentioning
confidence: 98%
“…We present a detailed comparison of our measurements of p(T 0 , γ) at z = 2.8 with those of Rorai et al (2018) 1.8 Figure 17. Evolution of γ(z) and T 0 (z) compared to models.…”
Section: Comparison With Previous Workmentioning
confidence: 99%
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“…The simulations are carried out on a grid of the IGM thermal parameters (T 0 and γ) and extended to the inter-grid values by means of the Gaussian process interpolation of the principal components of the kernel-density smoothed (N, b) maps. This method is similar to various cutoff-fitting methods where the position of the cutoff (or other discrete measures, such as, e.g., a distribution median (Rorai et al 2018)) is calibrated trough the hydrodynamical simulations, however Hiss et al (2019) calibrate the whole lines parameters distribution instead. The main complication with this approach is that the simulations are actually computationally expensive, especially when the line sample size is large, so that the (T 0 , γ) grid resolution need to be small enough to obtain the robust inference of the thermal parameters which is free from the interpolation errors (Hiss et al 2019).…”
Section: Mcmcmentioning
confidence: 99%
“…Using a group of background quasars, we can probe different physical processes at different scales: (i) The H i density and velocity fields at the scales of few 100 cKpc may have thermal memory of cosmic reionization in the form of pressure broadening (Peeples et al 2010;Rorai et al 2018); (ii) at the scale of ∼ 1 pMpc we can probe matter clustering around massive galaxies (quasar hosts and intervening metal systems) and various feedback processes connecting gas flows between galaxies and the IGM. At present these scales are best probed using quasar pairs (see for example, Prochaska et al 2013); (iii) at the scales of one to few Mpc, one is probing the cosmic structure of filaments and voids and the effect of radiative feed back from bright persistent objects like quasars (e.g Finley et al 2014;Lee et al 2018); and (iv) the Baryon Acoustic Oscillations (BAO) at ∼100 Mpc probes primordial density fluctuations at very large scales (Ata et al 2018).…”
Section: Introductionmentioning
confidence: 99%