Scientific Articles
Journal Articles (Published)
S. Garg, B. B. Karak, R. Egeland, W. Soon, and S. Baliunas. Waldmeier Effect in Stellar Cycles. ApJ, 886(2):132, Dec 2019, 1909.12148.
Paper
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Data
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DOI
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URL
- S. Garg and M. Bagchi. A Negligible Tidal Effect in a Periastron Precession in Neutron Star–Black Hole (Stellar Mass) Binaries. Research Notes of the American Astronomical Society, 3(9):125, Sep 2019. URL.
In Collaboration
- A. M. Price-Whelan, others, Astropy Collaboration, and Astropy Project Contributors. The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package. ApJ, 935(2):167, Aug. 2022, 2206.14220. URL.
- S. Bapat et al. EinsteinPy: A Community Python Package for General Relativity. arXiv e-prints, May 2020, 2005.11288. URL.
Conference Papers
S. Sasaoka, Y. Hou, D. S. Dominguez, S. Garg, N. Koyama, Y. Sakai, Y. Omae, K. Somiya, and H. Takahashi. Deep Learning for Detecting Gravitational Waves from Compact Binary Coalescences and Its Visualization by Grad-CAM. In Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), volume 444, page 1498, 2023. DOI
S. Sasaoka, Y. Hou, D. S. Dominguez, S. Garg, N. Koyama, Y. Sakai, Y. Omae, K. Somiya, and H. Takahashi. Deep Learning Application for Detecting Gravitational Waves from Core-Collapse Supernovae. In Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), volume 444, page 1499, 2023. URL.
S. Garg, S. Sasaoka, D. S. Dominguez, Y. Hou, N. Koyama, K. Somiya, H. Takahashi, and M. Ohashi. Comparison of training methods for Convolutional Neural Network model for Gravitational-Wave detection from Neutron Star−Black Hole Binaries. In Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), volume 444, page 1536, 2023. URL.
D. S. Dominguez, S. Sasaoka, S. Garg, Y. Hou, N. Koyama, K. Somiya, and H. Takahashi. Convolutional neural network for continuous gravitational waves detection. In Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023), volume 444, page 1519, 2023. URL.