Sample variance and Lyman α forest transmission statistics

被引:44
作者
Rollinde, E. [1 ]
Theuns, T. [2 ,3 ]
Schaye, J. [4 ]
Paris, I. [1 ]
Petitjean, P. [1 ]
机构
[1] Univ Paris 06, UMR7095, Inst Astrophys Paris, F-75014 Paris, France
[2] Univ Durham, Dept Phys, Inst Computat Cosmol, Sci Labs, Durham DH1 3LE, England
[3] Univ Antwerp, B-2020 Antwerp, Belgium
[4] Leiden Univ, Leiden Observ, NL-2300 RA Leiden, Netherlands
关键词
methods: numerical; galaxies: intergalactic medium; cosmology: theory; PROBABILITY-DISTRIBUTION FUNCTION; FLUX POWER SPECTRUM; DIGITAL SKY SURVEY; TEMPERATURE-DENSITY RELATION; SMALL-SCALE STRUCTURE; EQUATION-OF-STATE; INTERGALACTIC MEDIUM; THERMAL HISTORY; HYDRODYNAMICAL SIMULATIONS; GRAVITATIONAL COLLAPSE;
D O I
10.1093/mnras/sts057
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We compare the observed probability distribution function (PDF) of the transmission in the HI Lyman alpha forest, measured from the Ultraviolet and Visual Echelle Spectrograph (UVES) 'Large Programme' sample at redshifts z = [2, 2.5, 3], to results from the GIMIC cosmological simulations. Our measured values for the mean transmission and its PDF are in good agreement with published results. Errors on statistics measured from high-resolution data are typically estimated using bootstrap or jackknife resampling techniques after splitting the spectra into chunks. We demonstrate that these methods tend to underestimate the sample variance unless the chunk size is much larger than is commonly the case. We therefore estimate the sample variance from the simulations. We conclude that observed and simulated transmission statistics are in good agreement; in particular, we do not require the temperature-density relation to be 'inverted'.
引用
收藏
页码:540 / 550
页数:11
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