Generating mock data sets for large-scale Lyman-α forest correlation measurements

Andreu Font-Ribera, Patrick McDonald, Jordi Miralda-Escudé

    Research output: Contribution to journalReview articleResearchpeer-review

    27 Citations (Scopus)

    Abstract

    Massive spectroscopic surveys of high-redshift quasars yield large numbers of correlated Lyα absorption spectra that can be used to measure large-scale structure. Simulations of these surveys are required to accurately interpret the measurements of correlations and correct for systematic errors. An efficient method to generate mock realizations of Lyα forest surveys is presented which generates a field over the lines of sight to the survey sources only, instead of having to generate it over the entire three-dimensional volume of the survey. The method can be calibrated to reproduce the power spectrum and one-point distribution function of the transmitted flux fraction, as well as the redshift evolution of these quantities, and is easily used for modeling any survey systematic effects. We present an example of how these mock surveys are applied to predict the measurement errors in a survey with similar parameters as the BOSS quasar survey in SDSS-III. © 2012 IOP Publishing Ltd and SISSA.
    Original languageEnglish
    Article number001
    JournalJournal of Cosmology and Astroparticle Physics
    Volume2012
    Issue number1
    DOIs
    Publication statusPublished - 1 Jan 2012

    Keywords

    • cosmological simulations
    • intergalactic media
    • Lyman alpha forest
    • redshift surveys

    Fingerprint Dive into the research topics of 'Generating mock data sets for large-scale Lyman-α forest correlation measurements'. Together they form a unique fingerprint.

    Cite this