A Baseline Correction Algorithm for FAST

被引:0
作者
De-Jian Liu [1 ,2 ]
Ye Xu [1 ]
Ying-Jie Li [1 ]
Ze-Hao Lin [1 ,2 ]
Shuai-Bo Bian [1 ,2 ]
Chao-Jie Hao [1 ,2 ]
机构
[1] Purple Mountain Observatory, Chinese Academy of Sciences
[2] School of Astronomy and Space Science, University of Science and Technology of China
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
P111.44 [射电望远镜(无线电望远镜)];
学科分类号
070401 ;
摘要
The Five-hundred-meter Aperture Spherical radio Telescope(FAST) is the most sensitive ground-based, singledish radio telescope on Earth. However, the original H Ⅰ spectra produced by FAST are affected by standing waves.To maximize the power of FAST for high-sensitivity observations, we proposed an algorithm that combines fast Fourier transforms and extreme envelope curves to automatically correct the baselines of FAST H Ⅰ spectra and remove standing waves from the baselines. This algorithm can reduce the amplified noise level caused by standing waves to a near-ideal level without losing signals or introducing false signals. The root mean square of the average baseline reaches ~8 mK, approaching the theoretical sensitivity of an H Ⅰ spectrum produced by FAST for an integration time of 335 minutes, i.e., ~6 m K.
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页码:3 / 7
页数:5
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