First SETI Observations with China's Five-hundred-meter Aperture Spherical Radio Telescope (FAST)

被引:35
作者
Zhang, Zhi-Song [1 ,2 ,3 ,4 ]
Werthimer, Dan [3 ,4 ]
Zhang, Tong-Jie [5 ]
Cobb, Jeff [3 ,4 ]
Korpela, Eric [3 ]
Anderson, David [3 ]
Gajjar, Vishal [3 ,4 ]
Lee, Ryan [4 ,6 ,7 ]
Li, Shi-Yu [5 ]
Pei, Xin [2 ,8 ]
Zhang, Xin-Xin [1 ]
Huang, Shi-Jie [1 ]
Wang, Pei [1 ]
Zhu, Yan [1 ]
Duan, Ran [1 ]
Zhang, Hai-Yan [1 ]
Jin, Cheng-jin [1 ]
Zhu, Li-Chun [1 ]
Li, Di [1 ,2 ,9 ]
机构
[1] Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[3] Univ Calif Berkeley, Space Sci Lab, Berkeley, CA 94720 USA
[4] Univ Calif Berkeley, Dept Astron, 601 Campbell Hall, Berkeley, CA 94720 USA
[5] Beijing Normal Univ, Dept Astron, Beijing 100875, Peoples R China
[6] Univ Calif Berkeley, Dept Phys, Berkeley, CA 94720 USA
[7] Univ Calif Berkeley, Dept Comp Sci, Berkeley, CA 94720 USA
[8] Chinese Acad Sci, Xinjiang Astron Observ, 150,Sci 1 St, Urumqi 830011, Xinjiang, Peoples R China
[9] Chinese Acad Sci, CAS Key Lab FAST, Natl Astron Observ, Beijing 100101, Peoples R China
基金
国家重点研发计划; 美国国家科学基金会;
关键词
Astrobiology; Sky surveys; Astronomical instrumentation; PROJECT;
D O I
10.3847/1538-4357/ab7376
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The Search for Extraterrestrial Intelligence (SETI) attempts to address the possibility of the presence of technological civilizations beyond the Earth. Benefiting from high sensitivity, large sky coverage, and an innovative feed cabin for China's Five-hundred-meter Aperture Spherical radio Telescope (FAST), we performed SETI's first observations with FAST's newly commissioned 19 beam receiver; we report preliminary results in this paper. Using the data stream produced by the SERENDIP VI real-time multibeam SETI spectrometer installed at FAST, as well as its off-line data processing pipelines, we identify and remove four kinds of radio frequency interference (RFI): zone, broadband, multibeam, and drifting, utilizing the Nebula SETI software pipeline combined with machine-learning algorithms. After RFI mitigation, the Nebula pipeline identifies and ranks interesting narrowband candidate ET signals, scoring candidates by the number of times candidate signals have been seen at roughly the same sky position and same frequency, signal strength, proximity to a nearby star or object of interest, along with several other scoring criteria. We show four example candidate groups that demonstrate this RFI mitigation and candidate selection. This preliminary testing on FAST data helps to validate our SETI instrumentation techniques as well as our data processing pipeline.
引用
收藏
页数:16
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