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A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data 被引量:3

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摘要 We developed a pulsar search pipeline based on PulsaR Exploration and Search TOolkit(PRESTO).This pipeline simply runs dedispersion,Fast Fourier Transform(FFT)and acceleration search in process-level parallel to shorten the processing time.With two parallel strategies,the pipeline can highly shorten the processing time in both normal searches and acceleration searches.This pipeline was first tested with Parkes Multibeam Pulsar Survery(PMPS)data and discovered two new faint pulsars.Then,it was successfully applied in processing the Five-hundred-meter Aperture Spherical radio Telescope(FAST)drift scan data with tens of new pulsar discoveries up to now.The pipeline is only CPU-based and can be easily and quickly deployed in computing nodes for testing purposes or data processing.
作者 Qiu-Yu Yu Zhi-Chen Pan Lei Qian Shen Wang You-Ling Yue Meng-Lin Huang Qiao-Li Hao Shan-Ping You Bo Peng Yan Zhu Lei Zhang Zhi-Jie Liu 余秋雨;潘之辰;钱磊;Shen Wang;You-Ling Yue;Meng-Lin Huang;Qiao-Li Hao;Shan-Ping You;Bo Peng;Yan Zhu;Lei Zhang;Zhi-Jie Liu(Guizhou Normal University,Key Laboratory of Information and Computing Science,Guiyang 550001,China;National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China;School of In formation Engineering,Southwest University of Scie nee and Technology,Mianyang 621010,China;School of Physics,University of Electronic Science and Technology of China,Chengdu 610054,China)
出处 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2020年第6期215-222,共8页 天文和天体物理学研究(英文版)
基金 supported by the National Key R&D Program of China(2017YFA0402600) State Key DevelopmentProgram for Basic Research(2015CB857100) National Basic Research Program of China(973 program,No.2015CB857101) National Natural Science Foundation of China(Grant Nos.11703047,11773041,U1631132and U1831131) supported by the CAS“Light of West China”Program by the CAS Key Laboratory of FAST,National Astronomical Observatories,Chinese Academy of Sciences supported in part by the Youth Innovation Promotion Association of CAS(id.2018075)。
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