International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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A Review Based Study on Different Techniques of AI Used in Exoplanet Detection

Author(s) Richa Shree, Pooja Jha
Country India
Abstract This article delves into the connection between astronomy and machine learning, specifically focusing on gravitational waves and the detection of exoplanets. It emphasizes how automated analysis tools have become crucial in advancing our understanding of the universe thanks to the potential of machine learning. The article explores how machine learning is used for classifying supernovae and detecting anomalies in data. It also discusses the challenges faced when applying relativity to studying powerful celestial bodies like exoplanets. Additionally, it highlights the increasing reliance on data analysis and machine learning within astronomy. Moreover, it underscores the importance of exoplanet research and how machine learning can automate the process of discovery. Ultimately this article emphasizes how modern technologies, including machine learning are transforming research and making it more accessible to citizen scientists.
Keywords Astronomy, Machine learning, Supernovae, Gravitational waves , Exoplanet detection, Data analysis, Radio galaxies, Numerical relativity, Kepler mission.
Field Computer Applications
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-11-25
Cite This A Review Based Study on Different Techniques of AI Used in Exoplanet Detection - Richa Shree, Pooja Jha - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.9325
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.9325
Short DOI https://doi.org/gs63wc
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