Highlights A Fourier-series based frequency estimation method of X-ray pulsars is proposed. The truncation point in the Fourier series is derived theoretically. The algorithm shows strong robustness and reliability. The effectiveness of this method is verified by real data from NICER mission.

    Abstract The spin frequency estimation algorithm is the foundation to recover the profile from the observation data of X-ray pulsar. In this work, a frequency-domain method based on the Fourier series is proposed to estimate the spin frequency and recover the profile of X-ray pulsar. The quality of evaluation indexes of recovered profile and the truncation point in the Fourier series are derived. The performance of the algorithm is first analyzed by simulation. The results show that the algorithm is little affected by the noise within the recovered profile and is reliable to estimate the spin frequency. Finally, the proposed algorithm is further verified by the real pulsar data from the Neutron star Interior Composition Explorer (NICER).


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    Title :

    Fourier-series based optimal spin frequency estimation and profile recovery of X-ray pulsar


    Contributors:
    Song, Minzhang (author) / Wang, Yidi (author) / Zheng, Wei (author) / Wu, Yulong (author)

    Published in:

    Advances in Space Research ; 70 , 1 ; 203-210


    Publication date :

    2022-04-06


    Size :

    8 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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