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Measuring the history of cosmic reionization using the 21-cm probability distribution function from simulations
Stockholm University, Faculty of Science, Department of Astronomy. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
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2010 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 406, no 4, 2521-2532 p.Article in journal (Refereed) Published
Abstract [en]

The 21-cm probability distribution function (PDF; i.e. distribution of pixel brightness temperatures) is expected to be highly non-Gaussian during reionization and to provide important information on the distribution of density and ionization. We measure the 21-cm PDF as a function of redshift in a large simulation of cosmic reionization and propose a simple empirical fit. Guided by the simulated PDF, we then carry out a maximum likelihood analysis of the ability of upcoming experiments to measure the shape of the 21-cm PDF and derive from it the cosmic reionization history. Under the strongest assumptions, we find that upcoming experiments can measure the reionization history in the mid to late stages of reionization to 1-10 per cent accuracy. Under a more flexible approach that allows for four free parameters at each redshift, a similar accuracy requires the lower noise levels of second-generation 21-cm experiments.

Place, publisher, year, edition, pages
2010. Vol. 406, no 4, 2521-2532 p.
Keyword [en]
galaxies: formation, galaxies: high-redshift, cosmology: theory
National Category
Astronomy, Astrophysics and Cosmology
Research subject
Astronomy
Identifiers
URN: urn:nbn:se:su:diva-50092DOI: 10.1111/j.1365-2966.2010.16828.xISI: 000280672600029OAI: oai:DiVA.org:su-50092DiVA: diva2:382287
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authorCount :5Available from: 2010-12-30 Created: 2010-12-21 Last updated: 2017-12-11Bibliographically approved

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Department of AstronomyThe Oskar Klein Centre for Cosmo Particle Physics (OKC)
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Monthly notices of the Royal Astronomical Society
Astronomy, Astrophysics and Cosmology

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