1/f noise analysis for FAST H i intensity mapping drift-scan experiment

Author:

Hu Wenkai123ORCID,Li Yichao4,Wang Yougang1ORCID,Wu Fengquan1,Zhang Bo5,Zhu Ming5,Zuo Shifan6,Lagache Guilaine2,Ma Yin-Zhe78ORCID,Santos Mario G49ORCID,Chen Xuelei1101112ORCID

Affiliation:

1. Key Laboratory of Computational Astrophysics, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China

2. Aix Marseille Université, CNRS, LAM (Laboratoire d ′Astrophysique de Marseille), F-13388 Marseille, France

3. ARC Centre of Excellence for All Sky Astrophysics in 3 Dimensions (ASTRO 3D), Australia

4. Department of Physics and Astronomy, University of the Western Cape, Robert Sobukwe Road, Belville 7535, South Africa

5. Key Laboratory of FAST, National Astronomical Observatories, Chinese Academy of Sciences, 20A Datun Road, Chaoyang District, Beijing 100101, China

6. Department of Astronomy, Tsinghua University, Beijing 100084, China

7. School of Chemistry and Physics, University of KwaZulu-Natal, Westville Campus, Private Bag X54001, Durban 4000, South Africa

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

9. South African Radio Astronomy Observatory (SARAO), 2 Fir Street, Observatory, Cape Town 7925, South Africa

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

11. Department of Physics, College of Sciences, Northeastern University, Shenyang 110819, China

12. Center of High Energy Physics, Peking University, Beijing 100871, China

Abstract

ABSTRACT We investigate the 1/f noise of the Five-hundred-meter Aperture Spherical Telescope (FAST) receiver system using drift-scan data from an intensity mapping pilot survey. All the 19 beams have 1/f fluctuations with similar structures. Both the temporal and the 2D power spectrum densities are estimated. The correlations directly seen in the time series data at low frequency f are associated with the sky signal, perhaps due to a coupling between the foreground and the system response. We use singular value decomposition (SVD) to subtract the foreground. By removing the strongest components, the measured 1/f noise power can be reduced significantly. With 20 modes subtraction, the knee frequency of the 1/f noise in a 10-MHz band is reduced to $1.8 \times 10^{-3}\, {\rm Hz}$, well below the thermal noise over 500-s time-scale. The 2D power spectra show that the 1/f-type variations are restricted to a small region in the time-frequency space and the correlations in frequency can be suppressed with SVD modes subtraction. The residual 1/f noise after the SVD mode subtraction is uncorrelated in frequency, and a simple noise diode frequency-independent calibration of the receiver gain at 8-s interval does not affect the results. The 1/f noise can be important for H i intensity mapping, we estimate that the 1/f noise has a knee frequency (fk) ∼ 6 × 10−4 Hz, and time and frequency correlation spectral indices (α) ∼ 0.65, (β) ∼ 0.8 after the SVD subtraction of 30 modes. This can bias the H i power spectrum measurement by 10 per cent.

Funder

Ministry of Science and Technology

National Natural Science Foundation of China

Chinese Academy of Sciences

National Science Foundation, United Arab Emirates

European Research Council

NRF

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

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