Artificial Intelligence

    

Deep Learning for Physics Problems: A Case Study in Continuous Gravitational Waves Detection

Authors: Essam El-Tobgi

Deep learning has become a powerful tool for solving a wide variety of problems, including those in physics. In this paper, we explore the use of deep learning for the detection of continuous gravitational waves. We propose two different approaches: one based on time-domain analysis and the other based on frequency-domain analysis. Both approaches achieve nearly the same performance, suggesting that deep learning is a promising technique for this task. The main purpose of this paper is to provide an overview of the potential of deep learning for physics problems. We do not provide a performance-measured solution, as this is beyond the scope of this paper. However, we believe that the results presented here are encouraging and suggest that deep learning is a valuable tool for physicists.

Comments: 10 Pages.

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Submission history

[v1] 2023-06-01 13:47:43
[v2] 2023-06-05 10:32:44

Unique-IP document downloads: 363 times

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