摘要
硬X射线调制望远镜(Hard X-ray Modulation Telescope,HXMT)卫星搭载的高能望远镜(High Energy Telescope)数据存在非真实光子事例的聚集,突出表现在光变曲线上存在许多毛刺,这对光变和能谱的研究产生一定的影响。分析了大量毛刺事例的性质,并基于这些性质通过事例时间间隔相邻法识别毛刺,这种方法可以在事例级别识别毛刺,比利用一些特征函数如信噪比方法有较大优势。毛刺事例的识别对正常光子事例的影响非常小,且毛刺事例在光变上不会产生周期和准周期信号。
Spikes exist in the raw light curves of the High Energy Telescope(HE)onboard Hard X-ray Modulation Telescope(HXMT),which has brought data analysis of HE with a lot of negative influence,especially for the study of light curves and energy spectra.A large amount of spikes are accumulated and these properties,such as time interval,duration time,channel distribution,are studied using statistical method.Base on these performances in light curves,two methods of spikes identification are established.In this work,the properties and identification methods of spikes are introduced,which has many advantages over methods using certain eigenfunctions such as SNR.
作者
赵海升
刘聪展
李小波
宋黎明
Zhao Haisheng;Liu Congzhan;Li Xiaobo;Song Liming(Key Laboratory of Particle Astrophysics,Chinese Academy of Sciences,Beijing 100049,China;Institute of High Energy Physics,Chinese Academy of Sciences,Beijing 100049,China)
出处
《天文研究与技术》
CSCD
2021年第1期138-144,共7页
Astronomical Research & Technology
基金
国家自然科学基金(U1938102,11503029)资助.
关键词
毛刺
时间间隔
信噪比
数据分析
Spike
Time interval
Signal-to-noise
Data analysis
