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具有多物理特性的X射线脉冲星信号模拟

Simulation of X-ray pulsar signals with multiphysical properties
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摘要 针对目前X射线脉冲星实测数据量少、不连续的问题,笔者以罗西卫星X射线脉冲星实测数据物理特性为先验信息,采用快速迭代法在10μs时间转换模型下,模拟产生了航天器处具有周期特性、能谱特性、背景噪声特性及具有各种延迟效应的X射线脉冲星信号.设计和实现了具有多物理特性的X射线脉冲星信号仿真软件.比较相同条件下的实测和模拟数据可得:模拟的噪声和实际噪声具有相同的分布;模拟与实测的脉冲星数据周期变化趋势吻合,误差仅为0.43%;不同能级模拟和实测数据累积轮廓的皮尔逊相关系数均达到0.99以上;10μs时间转换模型下,模拟的数据时间转换误差仅为10^(-7) s,模拟的数据和实测数据误差也仅为10-7 s,满足时间转换精度要求.所以,文中方法可实现具有多物理特性的X射线脉冲星信号的高保真模拟及连续获取. In view of the few and discontinuous X-ray pulsar data, based on the physical properties of the X-ray pulsar real data from the Rossi X-ray Timing Explorer (RXTE) spacecraft, this paper adopts the fast iterative method and the 10 μs time transformation model, simulates the X-ray pulsar signals which have the periodic property, spectral property, and the background noise property as well as a variety of delay effects. We design and implement simulation software which can simulate the X-ray pulsar signals with multi-physical properties. The results of comparing the real data and simulation data in the same situation show that the simulation noises and the actual noises have the same distribution, that the period stability of the simulated X-ray pulsar data agrees with the real data, with the error of only 0.43%, in different energy levels, that the simulated data's integrated profile and the real data's standard profile are highly correlated with the Pearson correlation coefficient of 0.99, and that under the 10μs time transformation model, the time conversion accuracy of the simulation data can reach 10-7 s, the error between the simulation and the real data being just only 10-7 s, which meets the time transformation accuracy. Therefore, the proposed method can realize the high-fidelity simulations and generate the continuous pulsar signal with many physical properties.
作者 沈利荣 李小平 刘彥明 方海燕 孙海峰 裴辰星 SHEN Lirong LI Xiaoping LIU Yanming FANG Haiyan SUN Haifeng PEI Chenxing(School of Aerospace Science& Technology, Xidian Univ., Xi'an 710071, China)
出处 《西安电子科技大学学报》 EI CAS CSCD 北大核心 2016年第5期183-189,共7页 Journal of Xidian University
基金 国家基础研究计划(973计划)资助项目(2014CB340205) 国家自然科学基金资助项目(61301173 61473228)
关键词 X射线脉冲星 信号模拟 周期和能谱特性 背景噪声特性 时间转换 X-ray pulsar signal simulation period and spectral property the background noise property time transformation
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  • 1Zachary T H, Roummel F M, Rebecca M W. This is SPIRAL-TAP: Sparse Poisson Intensity Reconstruction Algorithms-Theory and Practice DJ. IEEE Trans on Image Processing, 2012, 21(36): 1084-1096.
  • 2Donoho D L, Coifman R R. Translation-Invariant Denoising DJ. Wavelets and Statistics, 1995, 125(1): 1-26.
  • 3Anscombe F. The Transformation of Poisson, Binomial and Negative Binomial Data[J]. Biometrika, 1948, 35 (3): 246-254.
  • 4Donoho D L. Nonlinear Wavelet Methods for Recovery of Signals, Densities and Spectra from Indirect and Noisy Data[CJIIProc of Symposia in Applied Mathematics. San Antonio: American Mathematical Society, 1993: 173-205.
  • 5Fryzlewicz P, Nason G. A Wavelet-Fisz Agorithm for Poisson Intensity Estimation DJ.Journal of Computational And Graphical Statistics, 2003, 13 (3): 621-638.
  • 6Freeman P E, Kashyap V. X-ray Source Detection Using the Wavelet Transform[CJI I Astronomical Data Analysis Software and Systems V. San Francisco: Astronomy Software of Pacific, 1996: 163-165.
  • 7Kolaczyk E D. Bayesian Multi-Scale Models for Poisson Processes DJ.Journal of the American Statistical Association, 1999, 94(447): 920-933.
  • 8Charles C. RassonJ P. Wavelet Denoising of Poisson-distributed Data and Applications[J]. Computational Statistics and Data Analysis, 2003, 43(2): 139-148.
  • 9Rebecca M W, Robert D N. Multiscale Poisson Intensity and Density Estimation DJ. IEEE Transactions on Information Theory, 2007, 53(9): 3171-3189.
  • 10Donoho D L, Dyn N, Levin D. Smooth Multiwavelet Duals of Alpert Bases by Moment-Interpolation with Applications to Re-cursive Partitioning[J]. Applied and Computational Harmonic Analysis, 2000, 9(2): 166-203.

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