Chucheng Pan
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View article: DeepMuon: Accelerating Cosmic-Ray Muon Simulation Based on Optimal Transport
DeepMuon: Accelerating Cosmic-Ray Muon Simulation Based on Optimal Transport Open
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 and tracking their complex trajectories through intricate s…
View article: SwdFold:A Reweighting and Unfolding method based on Optimal Transport Theory
SwdFold:A Reweighting and Unfolding method based on Optimal Transport Theory Open
High-energy physics experiments rely heavily on precise measurements of energy and momentum, yet face significant challenges due to detector limitations, calibration errors, and the intrinsic nature of particle interactions. Traditional un…
View article: PWACG: Partial Wave Analysis Code Generator supporting Newton-conjugate gradient method
PWACG: Partial Wave Analysis Code Generator supporting Newton-conjugate gradient method Open
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 the JAX automatic differentiation library and the jinja2 t…
View article: Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance
Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance Open
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 statistical sample size for more accurate physical analysis. Traditi…
View article: PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance"
PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" Open
The PhiPiPi dataset is used to train and test our fast event simulation model for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" in https://arxiv.org/abs/2310.17897. The dataset is generated …
View article: PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance"
PhiPiPi Dataset for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" Open
The PhiPiPi dataset is used to train and test our fast event simulation model for our paper "Event Generation and Consistence Test for Physics with Sliced Wasserstein Distance" in https://arxiv.org/abs/2310.17897. The dataset is generate…
View article: Application of Deep Learning Methods Combined with Physical Background in Wide Field of View Imaging Atmospheric Cherenkov Telescopes
Application of Deep Learning Methods Combined with Physical Background in Wide Field of View Imaging Atmospheric Cherenkov Telescopes Open
The HADAR experiment, which will be constructed in Tibet, China, combines the wide-angle advantages of traditional EAS array detectors with the high sensitivity advantages of focused Cherenkov detectors. Its physics objective is to observe…
View article: Fraction Constraint in Partial Wave Analysis
Fraction Constraint in Partial Wave Analysis Open
To resolve the non-convex optimization problem in partial wave analysis, this paper introduces a novel approach that incorporates fraction constraints into the likelihood function. This method offers significant improvements in both the ef…