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Intensity Mapping Foreground Cleaning with Generalized Needlet Internal Linear Combination

Published online by Cambridge University Press:  08 May 2018

L. C. Olivari ,
M. Remazeilles  and
C. Dickinson
L. C. Olivari
Affiliation:
Jodrell Bank Centre for Astrophysics, Alan Turing Building, School of Physics & Astronomy, The University of Manchester, Oxford Road, Manchester, M13 9PL, U.K. email: [email protected]
M. Remazeilles
Affiliation:
Jodrell Bank Centre for Astrophysics, Alan Turing Building, School of Physics & Astronomy, The University of Manchester, Oxford Road, Manchester, M13 9PL, U.K. email: [email protected]
C. Dickinson
Affiliation:
Jodrell Bank Centre for Astrophysics, Alan Turing Building, School of Physics & Astronomy, The University of Manchester, Oxford Road, Manchester, M13 9PL, U.K. email: [email protected]
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Abstract

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Intensity mapping (IM) is a new observational technique to survey the large-scale structure of matter using spectral emission lines. IM observations are contaminated by instrumental noise and astrophysical foregrounds. The foregrounds are at least three orders of magnitude larger than the searched signals. In this work, we apply the Generalized Needlet Internal Linear Combination (GNILC) method to subtract radio foregrounds and to recover the cosmological HI and CO signals within the IM context. For the HI IM case, we find that GNILC can reconstruct the HI plus noise power spectra with 7.0% accuracy for z = 0.13 − 0.48 (960 − 1260 MHz) and ℓ ≲ 400, while for the CO IM case, we find that it can reconstruct the CO plus noise power spectra with 6.7% accuracy for z = 2.4 − 3.4 (26 − 34 GHz) and ℓ ≲ 3000.

Keywords

methods: data analysiscosmology: observationscosmology: large-scale structure of universe
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S333: Peering towards Cosmic Dawn , October 2017 , pp. 288 - 291
Copyright
Copyright © International Astronomical Union 2018 

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