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Analysis of Exoplanet Detection Methods using Machine Learning and Deep Neural Networks

International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 - Proceedings, Page: 1242-1247
2023
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Conference Paper Description

Around 10 sextillion (1021) to a septillion (1024) stars have been estimated to exist in the observable universe. Only 5346 planets outside our solar system have been discovered. Humans are yet to find faster and more advanced techniques to find more earth-like planets. This also requires consistent enhancement of current telescopes and instruments. This study reviews various observational techniques like transits, radial velocities, and spectroscopic analysis. This also includes their associated algorithms like the box-fitting least square (BLS) algorithm, the transit least square (TLS) algorithm, the spectral deconvolution, and machine learning and deep learning techniques like neural networks and the ExoMiner algorithm. This provides a fundamental description of the necessity of these techniques, the fundamental concept behind them, the breakthroughs they have made, and the observational limitations of each method and their accuracies in exoplanet exploration.

Bibliographic Details

Jobanbir Singh; Nongmeikapam Thoiba Singh

Institute of Electrical and Electronics Engineers (IEEE)

Computer Science; Decision Sciences; Energy; Medicine

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