59 citations · 64 across the 4 of their papers we have counts for
4 papers
Application of Non-Linear Noise Regression in the Virgo Detector
R. Weizmann Kiendrebeogo, Muhammed Saleem, Marie Anne Bizouard +8
This work presents the first demonstration of non-linear noise regression in the Virgo detector using deep learning techniques. We use DeepClean, a convolutional autoencoder previo…
Demonstration of Machine Learning-assisted real-time noise regression in gravitational wave detectors
Muhammed Saleem, Alec Gunny, Chia-Jui Chou +17
Real-time noise regression algorithms are crucial for maximizing the science outcomes of the LIGO, Virgo, and KAGRA gravitational-wave detectors. This includes improvements in the…
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…
Semileptonic decays of anti-triplet charmed baryons
Chao-Qiang Geng, Chia-Wei Liu, Tien-Hsueh Tsai +1
We study the semileptonic decays where is the anti-triplet-charmed (octet) baryon with the flavor symmetry and…