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| Paper: |
Radio Celestial Source Fringe Signals Detection Based on Transformer Self-Attention Mechanism |
| Volume: |
541, ADASS XXXIII |
| Page: |
214 |
| Authors: |
Ruiqing Yan; Zongyao Yin; Xianchuan Yu |
| DOI: |
10.26624/LAFL3528 |
| Abstract: |
Radio observations serve as a powerful means of exploring the universe.
Tianlai telescope observes the dark energy of the universe through radio radiation. The
Tianlai telescope is a radio array composed of multiple radio telescopes. It obtains the
distribution of matter in the universe by observing the 21 cm spectral line of neutral
hydrogen, and indirectly realizes the observation of dark energy. However, the 21 cm
spectral line of radio observation is very weak, and it is easily interfered by other weak
celestial sources, which is a problem that must be solved for normal operation. In order to detect these weak radio signals, we propose a celestial source fringes detection
method based on the Transformer self-attention mechanism. To prove the effectiveness
of our proposed method, we performed some experiments on the method and compared
with other deep learning methods in terms of mean of Average Precision. We also verified the impact of data quality on the model, and fringe signals can be detected at low
signal-to-noise ratios. Experimental results show that the method achieves comparable
detection performance for radio celestial source fringes in terms of accuracy and location regression. This study is important for the detection of dark energy in the universe
through radio observation of the neutral hydrogen 21 cm signal. |
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