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Suyog Garg
Suyog Garg
Department of Physics, The University of Tokyo
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
The astropy project: sustaining and growing a community-oriented open-source project and the latest major release (v5. 0) of the core package
AM Price-Whelan, PL Lim, N Earl, N Starkman, L Bradley, DL Shupe, ...
The Astrophysical Journal 935 (2), 167, 2022
14652022
Waldmeier effect in stellar cycles
S Garg, BB Karak, R Egeland, W Soon, S Baliunas
The Astrophysical Journal 886 (2), 132, 2019
202019
EinsteinPy: a community Python package for general relativity
S Bapat, R Saha, B Bhatt, S Jain, A Jain, SO Vela, P Khandelwal, ...
arXiv preprint arXiv:2005.11288, 2020
6*2020
Comparison of training methods for Convolutional Neural Network model for Gravitational-Wave detection from Neutron Star− Black Hole Binaries
S Garg, S Sasaoka, D Dominguez, Y Hou, N Koyama, K Somiya, ...
Proceedings of 38th International Cosmic Ray Conference—PoS (ICRC2023 …, 2023
12023
Deep Learning for Detecting Gravitational Waves from Compact Binary Coalescences and Its Visualization by Grad-CAM
S Sasaoka, Y Hou, D Dominguez, S Garg, N Koyama, Y Sakai, Y Omae, ...
2023
Convolutional Neural Network for Continuous Gravitational Waves Detection
D Dominguez, S Sasaoka, S Garg, Y Hou, N Koyama, K Somiya𝑎, ...
2023
Deep Learning Application for Detecting Gravitational Waves from Core-Collapse Supernovae
S Sasaoka, Y Hou, D Dominguez, S Garg, N Koyama, Y Sakai, Y Omae, ...
2023
Removing Noise in Gravitational-Wave Signals
S Garg
NIScPR-CSIR, India, 2022
2022
A Negligible Tidal Effect in a Periastron Precession in Neutron Star–Black Hole (Stellar Mass) Binaries
S Garg, M Bagchi
Research Notes of the AAS 3 (9), 125, 2019
2019
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