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TZID:US/Arizona
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DTSTART:20221106T000000
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SUMMARY:Radio celestial source fringe signals detection based on Transform
 er self-attention mechanism - RuiqingYan
DTSTART;TZID=US/Arizona:20231106T083000
DTEND;TZID=US/Arizona:20231106T083000
DTSTAMP:20260818T175512Z
UID:pretalx-adass2023-8KK3JV@pretalx.com
DESCRIPTION:Radio observations serve as a powerful means of exploring the 
 universe. Tianlai telescope observes the dark energy of the universe throu
 gh radio radiation. The Tianlai telescope is a radio array composed of mul
 tiple radio telescopes. It obtains the distribution of matter in the unive
 rse by observing the 21cm spectral line of neutral hydrogen\, and indirect
 ly realizes the observation of dark energy. However\, the 21cm spectral li
 ne of radio observation is very weak\, and it is easily interfered by othe
 r weak celestial sources\, which is a problem that must be solved for norm
 al operation. In order to detect these weak radio signals\, we propose a c
 elestial source fringes detection method based on the Transformer self-att
 ention mechanism. To prove the effectiveness of our proposed method\, we p
 erformed some experiments on the method and compared with other deep learn
 ing methods in terms of mean of Average Precision. We also verified the im
 pact of data quality on the model\, and fringe signals can be detected at 
 low signal-to-noise ratios. Experimental results show that the method achi
 eves comparable detection performance for radio celestial source fringes i
 n terms of accuracy and location regression. This study is important for t
 he detection of dark energy in the universe through radio observation of t
 he neutral hydrogen 21cm signal.
LOCATION:Posters
URL:https://pretalx.com/adass2023/talk/8KK3JV/
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