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The Lyman-alpha forest power spectrum from the XQ-100 Legacy Survey

Iršič, Vid
•
Berg, Trystyn A. M.
•
Haehnelt, Martin G.
altro
D'Odorico, Valentina
2017
  • journal article

Periodico
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Abstract
We present the Lyman-α flux power spectrum measurements of the XQ-100 sample of quasar spectra obtained in the context of the European Southern Observatory Large Programme "Quasars and their absorption lines: a legacy survey of the high redshift universe with VLT/XSHOOTER". Using 100 quasar spectra with medium resolution and signal-to-noise ratio we measure the power spectrum over a range of redshifts z=3−4.2 and over a range of scales k=0.003−0.06skm−1. The results agree well with the measurements of the one-dimensional power spectrum found in the literature. The data analysis used in this paper is based on the Fourier transform and has been tested on synthetic data. Systematic and statistical uncertainties of our measurements are estimated, with a total error (statistical and systematic) comparable to the one of the BOSS data in the overlapping range of scales, and smaller by more than 50% for higher redshift bins (z>3.6) and small scales (k>0.01skm−1). The XQ-100 data set has the unique feature of having signal-to-noise ratios and resolution intermediate between the two data sets that are typically used to perform cosmological studies, i.e. BOSS and high-resolution spectra (e.g. UVES/VLT or HIRES). More importantly, the measured flux power spectra span the high redshift regime which is usually more constraining for structure formation models.
DOI
10.1093/mnras/stw3372
WOS
WOS:000402849400041
Archivio
http://hdl.handle.net/20.500.11767/40329
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85040238171
https://arxiv.org/abs/1702.01761
http://cdsads.u-strasbg.fr/doi/10.1093/mnras/stw3372
Diritti
open access
Soggetti
  • methods: data analysi...

  • intergalactic medium

  • cosmology: observatio...

  • large-scale structure...

  • Settore FIS/05 - Astr...

Scopus© citazioni
47
Data di acquisizione
Jun 14, 2022
Vedi dettagli
Web of Science© citazioni
61
Data di acquisizione
Mar 24, 2024
Visualizzazioni
7
Data di acquisizione
Apr 19, 2024
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