Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/25132
Title: | Bayesian constraints on the global 21-cm signal from the Cosmic Dawn | Authors: | BERNARDI, GIANNI Zwart, J. T. L. Price, D. Greenhill, L. J. Mesinger, A. Dowell, J. Eftekhari, T. Ellingson, S. W. Kocz, J. Schinzel, F. |
Issue Date: | 2016 | Journal: | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | Number: | 461 | Issue: | 3 | First Page: | 2847 | Abstract: | The birth of the first luminous sources and the ensuing epoch of reionization are best studied via the redshifted 21-cm emission line, the signature of the first two imprinting the last. In this work, we present a fully Bayesian method, HIBAYES, for extracting the faint, global (sky-averaged) 21-cm signal from the much brighter foreground emission. We show that a simplified (but plausible) Gaussian model of the 21-cm emission from the Cosmic Dawn epoch (15 ≲ z ≲ 30), parametrized by an amplitude A_{H I}, a frequency peak ν _{H I} and a width σ _{H I}, can be extracted even in the presence of a structured foreground frequency spectrum (parametrized as a seventh-order polynomial), provided sufficient signal-to-noise (400 h of observation with a single dipole). We apply our method to an early, 19-min-long observation from the Large aperture Experiment to detect the Dark Ages, constraining the 21-cm signal amplitude and width to be -890 < A_{H I} < 0 mK and σ _{H I} > 6.5 MHz (corresponding to ∆z > 1.9 at redshift z ≃ 20) respectively at the 95-per cent confidence level in the range 13.2 < z < 27.4 (100 > ν > 50 MHz). | URI: | http://hdl.handle.net/20.500.12386/25132 | URL: | https://academic.oup.com/mnras/article/461/3/2847/2608619 | ISSN: | 0035-8711 | DOI: | 10.1093/mnras/stw1499 | Bibcode ADS: | 2016MNRAS.461.2847B | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Bernardi2016.pdf | 1.33 MB | Adobe PDF | View/Open |
Page view(s)
50
checked on Sep 29, 2023
Download(s)
13
checked on Sep 29, 2023
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are published in Open Access, unless otherwise indicated.