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http://hdl.handle.net/20.500.12386/31069
Title: | Foreground modelling via Gaussian process regression: an application to HERA data | Authors: | Abhik Ghosh Florent Mertens BERNARDI, GIANNI Mário G. Santos Nicholas S. Kern Christopher L. Carilli Trienko L. Grobler Léon V. E. Koopmans Daniel C. Jacobs Adrian Liu Aaron R. Parsons Miguel F. Morales James E. Aguirre Joshua S. Dillon Bryna J. Hazelton Oleg M. Smirnov Bharat K. Gehlot Siyanda Matika Paul Alexander Zaki S. Ali Adam P. Beardsley Roshan K. Benefo Tashalee S. Billings Judd D. Bowman Richard F. Bradley Carina Cheng Paul M. Chichura David R. DeBoer Eloy de Lera Acedo Aaron Ewall-Wice Gcobisa Fadana Nicolas Fagnoni Austin F. Fortino Randall Fritz Steve R. Furlanetto Samavarti Gallardo Brian Glendenning Deepthi Gorthi Bradley Greig Jasper Grobbelaar Jack Hickish Alec Josaitis Austin Julius Amy S. Igarashi MacCalvin Kariseb Saul A. Kohn Matthew Kolopanis Telalo Lekalake Anita Loots David MacMahon Lourence Malan Cresshim Malgas Matthys Maree Zachary E. Martinot Nathan Mathison Eunice Matsetela Andrei Mesinger Abraham R. Neben Bojan Nikolic Chuneeta D. Nunhokee Nipanjana Patra Samantha Pieterse Nima Razavi-Ghods Jon Ringuette James Robnett Kathryn Rosie Raddwine Sell Craig Smith Angelo Syce Max Tegmark Nithyanandan Thyagarajan Peter K. G. Williams Haoxuan Zheng |
Issue Date: | 2020 | Journal: | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | Number: | 495 | Issue: | 3 | First Page: | 2813 | Abstract: | The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission. Such separation relies on the different spectral properties of the two components, although, in real life, the foreground intrinsic spectrum is often corrupted by the instrumental response, inducing systematic effects that can further jeopardize the measurement of the 21-cm signal. In this paper, we use Gaussian Process Regression to model both foreground emission and instrumental systematics in $\sim 2$ hours of data from the Hydrogen Epoch of Reionization Array. We find that a simple co-variance model with three components matches the data well, giving a residual power spectrum with white noise properties. These consist of an "intrinsic" and instrumentally corrupted component with a coherence-scale of 20 MHz and 2.4 MHz respectively (dominating the line of sight power spectrum over scales $k_{\parallel} \le 0.2$ h cMpc$^{-1}$) and a baseline dependent periodic signal with a period of $\sim 1$ MHz (dominating over $k_{\parallel} \sim 0.4 - 0.8$h cMpc$^{-1}$) which should be distinguishable from the 21-cm EoR signal whose typical coherence-scales is $\sim 0.8$ MHz. | URI: | http://hdl.handle.net/20.500.12386/31069 | URL: | https://academic.oup.com/mnras/article/495/3/2813/5837088 http://arxiv.org/abs/2004.06041v2 |
ISSN: | 0035-8711 | DOI: | 10.1093/mnras/staa1331 | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
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staa1331-compr.pdf | Pdf editoriale | 8.54 MB | Adobe PDF | View/Open |
ghosh20_arxiv.pdf | postprint | 2.15 MB | Adobe PDF | View/Open |
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