Recovering the 21-cm signal from simulated FAST intensity maps

Author:

Yohana Elimboto1234ORCID,Ma Yin-Zhe34ORCID,Li Di456ORCID,Chen Xuelei678,Dai Wei-Ming34

Affiliation:

1. Astrophysics and Cosmology Research Unit, School of Mathematics, Statistics and Computer Science, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa

2. Dar Es Salaam University College of Education, A Constituent College of the University of Dar Es Salaam, PO Box 2329, Dar Es Salaam, Tanzania

3. Astrophysics and Cosmology Research Unit, School of Chemistry and Physics, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa

4. NAOC-UKZN Computational Astrophysics Centre (NUCAC), University of KwaZulu-Natal, Durban 4000, South Africa

5. CAS Key Laboratory of FAST, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China

6. School of Astronomy and Space Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

7. Key Laboratory of Computational Astrophysics, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China

8. Centre for High Energy Physics, Peking University, Beijing 100871, China

Abstract

ABSTRACT The 21-cm intensity mapping (IM) of neutral hydrogen (H i) is a promising tool to probe the large-scale structures. Sky maps of 21-cm intensities can be highly contaminated by various foregrounds, such as Galactic synchrotron radiation, free–free emission, extragalactic point sources, and atmospheric noise. Here we present a model of foreground components and a method of removal, in particular to quantify the potential of the Five-hundred-meter Aperture Spherical radio Telescope (FAST) for measuring H i IM. We consider a 1-yr observational time with a survey area of $20\,000\, {\rm deg}^{2}$ to capture significant variations of the foregrounds across both the sky position and angular scales relative to the H i signal. We first simulate the observational sky and then employ the principal component analysis (PCA) foreground separation technique. We show that by including different foregrounds, and thermal and 1/f noises, the value of the standard deviation between the reconstructed 21-cm IM map and the input pure 21-cm signal is $\Delta T = 0.034\, {\rm mK}$, which is well under control. The eigenmode-based analysis shows that the underlying H i eigenmode is just less than the 1 per cent level of the total sky components. By subtracting the PCA-cleaned foreground + noise map from the total map, we show that PCA method can recover H i power spectra for FAST with high accuracy.

Funder

NSFC

NRF

Ministry of Science and Technology

Chinese Academy of Sciences

German Academic Exchange Service

African Institute for Mathematical Sciences

University of KwaZulu-Natal

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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