4 papers
Classifying Core-Collapse Supernova Gravitational Waves using Supervised Contrastive Learning
Ao-Bo Wang, Yong Yuan, Hao Cai +1
The detection and reconstruction of gravitational waves from core-collapse supernovae (CCSN) present significant challenges due to the highly stochastic nature of the signals and t…
PWACG: Partial Wave Analysis Code Generator supporting Newton-conjugate gradient method
Xiang Dong, Yu-Chang Sun, Chu-Cheng Pan +4
This paper introduces a novel Partial Wave Analysis Code Generator (PWACG) that automatically generates high-performance partial wave analysis codes. This is achieved by leveraging…
Event generation and consistency tests with sliced Wasserstein distance in high-energy physics
Chu-Cheng Pan, Xiang Dong, Yu-Chang Sun +4
In the field of modern high-energy physics research, there is a growing emphasis on utilizing deep learning techniques to optimize event simulation, thereby expanding the statistic…
DeepMuon: Accelerating Cosmic-Ray Muon Simulation Based on Optimal Transport
Ao-Bo Wang, Chu-Cheng Pan, Xiang Dong +5
Cosmic muon imaging technology is increasingly being applied in various fields. However, simulating cosmic muons typically requires the rapid generation of a large number of muons…