About the Gravitational Wave Physics and Astronomy/Data Science Group

   The Gravitational Wave Physics and Astronomy/Data Science Group (GW-DS Group) was established on September 1, 2020, within the Research Center for Space Science, Advanced Research Laboratories at Tokyo City University. On October 27, 2020, Tokyo City University entered into an academic exchange agreement with the Institute for Cosmic Ray Research at the University of Tokyo to foster research and educational collaboration at the Large Cryogenic Gravitational Wave Telescope, KAGRA. Since April 2023, the group has also operated as an active research entity within the Department of Design and Data Science.

  On September 14, 2015, the LIGO project made history by detecting gravitational waves for the first time globally. To advance research in physics and astronomy using gravitational waves, it is crucial to evolve and innovate new perspectives, particularly in developing original data analysis methods across diverse domains such as the medical field, and leveraging artificial intelligence (AI) and machine learning methodologies.

  The Gravitational Wave Physics and Astronomy/Data Science Group is dedicated to advancing data-driven scientific research utilizing information technology, including AI, machine learning, and innovative signal processing techniques, particularly in the development of data analysis methodologies for gravitational waves, and as one of the data analysis bases of KAGRA. As one of the data-analysis bases of KAGRA, our goal is to deepen the understanding of the universe through the exploration of gravitational waves.

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東京都市大学
デザイン・データ科学部 デザイン・データ科学科
総合研究所 宇宙科学研究センター

重力波物理学・天文学/
データサイエンス研究室

〒224-8551 神奈川県横浜市都筑区牛久保西3-3-1

Gravitational Wave Physics and Astronomy /
Data Science Group

Department of Design and Data Science,
Research Center for Space Science, Advanced Research Laboratories,
Tokyo City University

3-3-1 Ushikubo-Nishi, Tsuzuki-Ku, Yokohama, Kanagawa 224-8551, Japan

Copyright © Gravitational Wave Physics
and Astronomy / Data Science Group
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