A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data

被引:0
|
作者
余秋雨 [1 ]
潘之辰 [2 ]
钱磊 [2 ]
Shen Wang [2 ]
You-Ling Yue [2 ]
Meng-Lin Huang [2 ]
Qiao-Li Hao [2 ]
Shan-Ping You [1 ]
Bo Peng [3 ]
Yan Zhu [4 ]
Lei Zhang [2 ]
Zhi-Jie Liu [1 ]
机构
[1] Guizhou Normal University,Key Laboratory of Information and Computing Science
[2] National Astronomical Observatories,Chinese Academy of Sciences
[3] School of Information Engineering,Southwest University of Science and Technology
[4] School of Physics,University of Electronic Science and Technology of China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
methods:data analysis; pulsars:general; star:neutron;
D O I
暂无
中图分类号
P145.6 [脉冲星(中子星)];
学科分类号
070401 ;
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.
引用
收藏
页码:139 / 146
页数:8
相关论文
共 50 条
  • [1] A PRESTO-based parallel pulsar search pipeline used for FAST drift scan data
    Yu, Qiu-Yu
    Pan, Zhi-Chen
    Qian, Lei
    Wang, Shen
    Yue, You-Ling
    Huang, Meng-Lin
    Hao, Qiao-Li
    You, Shan-Ping
    Peng, Bo
    Zhu, Yan
    Zhang, Lei
    Liu, Zhi-Jie
    RESEARCH IN ASTRONOMY AND ASTROPHYSICS, 2020, 20 (06)
  • [2] Parallel optimization of the pulsar search pipeline
    Wei, JianWen
    Zhang, ChenFei
    Zhang, ZhongLi
    Yu, Ting
    Lin, James
    An, Tao
    SCIENTIA SINICA-PHYSICA MECHANICA & ASTRONOMICA, 2023, 53 (02)
  • [3] Pulsar candidate selection using ensemble networks for FAST drift-scan survey
    Wang, HongFeng
    Zhu, WeiWei
    Guo, Ping
    Li, Di
    Feng, SiBo
    Yin, Qian
    Miao, ChenChen
    Tao, ZhenZhao
    Pan, ZhiChen
    Wang, Pei
    Zheng, Xin
    Deng, XiaoDan
    Liu, ZhiJie
    Xie, XiaoYao
    Yu, XuHong
    You, ShanPing
    Zhang, Hui
    SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY, 2019, 62 (05)
  • [4] Pulsar candidate selection using ensemble networks for FAST drift-scan survey
    HongFeng Wang
    WeiWei Zhu
    Ping Guo
    Di Li
    SiBo Feng
    Qian Yin
    ChenChen Miao
    ZhenZhao Tao
    ZhiChen Pan
    Pei Wang
    Xin Zheng
    XiaoDan Deng
    ZhiJie Liu
    XiaoYao Xie
    XuHong Yu
    ShanPing You
    Hui Zhang
    Science China(Physics,Mechanics & Astronomy), 2019, (05) : 65 - 74
  • [5] Pulsar candidate selection using ensemble networks for FAST drift-scan survey
    HongFeng Wang
    WeiWei Zhu
    Ping Guo
    Di Li
    SiBo Feng
    Qian Yin
    ChenChen Miao
    ZhenZhao Tao
    ZhiChen Pan
    Pei Wang
    Xin Zheng
    XiaoDan Deng
    ZhiJie Liu
    XiaoYao Xie
    XuHong Yu
    ShanPing You
    Hui Zhang
    Science China Physics, Mechanics & Astronomy, 2019, 62
  • [6] A new, fast pulsar search method for sparse data
    Brazier, KTS
    Kanbach, G
    ASTRONOMY & ASTROPHYSICS SUPPLEMENT SERIES, 1996, 120 (04): : C85 - C87
  • [7] A MICROPROCESSOR BASED PARALLEL SEARCH SYSTEM FOR FAST DATA-RETRIEVAL
    MILLER, LL
    MICROPROCESSING AND MICROPROGRAMMING, 1988, 22 (01): : 29 - 38
  • [8] Fast Parallel Algorithm for Slicing STL Based on Pipeline
    MA Xulong
    LIN Feng
    YAO Bo
    Chinese Journal of Mechanical Engineering, 2016, (03) : 549 - 555
  • [9] Fast Parallel Algorithm for Slicing STL Based on Pipeline
    Ma Xulong
    Lin Feng
    Yao Bo
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2016, 29 (03) : 549 - 555
  • [10] Fast parallel algorithm for slicing STL based on pipeline
    Xulong Ma
    Feng Lin
    Bo Yao
    Chinese Journal of Mechanical Engineering, 2016, 29 : 549 - 555