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Binary neutron stars gravitational wave detection based on wavelet packet analysis and convolutional neural networks

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Frontiers of physics 2020年第2期15卷 111-117页

作者： Bai-Jiong Lin Xiang-Ru Li Wo-Liang Yu South China Normal University Guangzhou 510631China

This work investigates the detection of binary neutron stars gravitational wave based on convolutional neural network(CNN).To promote the detection performance and efficiency,we proposed a scheme based on wavelet packet(WP)decomposition and *** WP decomposition is a time-frequency method and can enhance the discriminant features between gravitational wave signal and noise before *** CNN conducts the gravitational wave detection by learning a function mapping relation from the data under being processed to the space of detection *** function-mapping-relation style detection scheme can detection efficiency *** this work,instrument effects are con-sidered,and the noise are computed from a power spectral density(PSD)equivalent to the Advanced LIGO design *** quantitative evaluations and comparisons with the state-of-art method matched filtering show the excellent performances for BNS gravitational wave *** efficiency,the current experiments show that this WP-CNN-based scheme is more than 960 times faster than the matched filtering.

关键词： gravitational waves algorithms astrostatistics techniques

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An Error Controlled Method to Determine the Stellar Density Function in a Region of the Sky

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Applied Mathematics 2014年第13期5卷 2077-2087页

作者： Mohammed Adel Sharaf Zainab Ahmed Mominkhan Department of Astronomy Faculty of Science King Abdulaziz University Jeddah Saudi Arabia Department of Mathematics College of Science for Girls King Abdulaziz University Jeddah Saudi Arabia

In this paper, a reliable computational tool will be developed for the determination of the parameters of the stellar density function in a region of the sky with complete error controlled estimates. Of these error estimates are, the variance of the fit, the variance of the least squares solutions vector, the average square distance between the exact and the least-squares solutions, finally the variance of the density stellar function due to the variance of the least squares solutions vector. Moreover, all these estimates are given in closed analytical forms.

关键词： astrostatistics Stellar Density Function Computational Astrophysics

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