Fast radio burst detection in the presence of coloured noise

Zhang, C. F. and Xu, J. W. and Men, Y. P. and Deng, X. H. and Xu, Heng and Jiang, J. C. and Wang, B. J. and Lee, K. J. and Li, J. and Yuan, J. P. and Liu, Z. Y. and Huang, Y. X. and Xu, Y. H. and Li, Z. X. and Hao, L. F. and Luo, J. T. and Dai, S. and Luo, R. and Zakie, Hassan and Ma, Z. Y. (2021) Fast radio burst detection in the presence of coloured noise. Monthly Notices of the Royal Astronomical Society, 503 (4). pp. 5223-5231. ISSN 0035-8711, DOI

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In this paper, we investigate the impact of correlated noise on fast radio burst (FRB) searching. We found that (1) the correlated noise significantly increases the false alarm probability; (2) the signal-to-noise ratios (S/N) of the false positives become higher; (3) the correlated noise also affects the pulse width distribution of false positives, and there will be more false positives with wider pulse width. We use 55-h observation for M82 galaxy carried out at Nanshan 26m radio telescope to demonstrate the application of the correlated noise modelling. The number of candidates and parameter distribution of the false positives can be reproduced with the modelling of correlated noise. We will also discuss a low S/N candidate detected in the observation, for which we demonstrate the method to evaluate the false alarm probability in the presence of correlated noise. Possible origins of the candidate are discussed, where two possible pictures, an M82-harboured giant pulse and a cosmological FRB, are both compatible with the observation.

Item Type: Article
Funders: Chinese Academy of Sciences [Grant No: XDB23010200], Max-Planck Partner Group, National SKA program of China [Grant No: 2020SKA0120100], National Natural Science Foundation of China (NSFC) [Grant No: 11690024], CAS Cultivation Project for FAST Scientific
Uncontrolled Keywords: Data analysis; Radio continuum; Fast radio burst (FRB); Coloured noise
Subjects: Q Science > QB Astronomy
Divisions: Faculty of Science > Department of Physics
Depositing User: Ms Zaharah Ramly
Date Deposited: 26 May 2022 02:26
Last Modified: 26 May 2022 02:26

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