X. Jia

collaborators

3 papers

cs.LG2026

DCTracks: An Open Dataset for Machine Learning-Based Drift Chamber Track Reconstruction

Qian Liyan, Zhang Yao, Yuan Ye +11

We introduce a Monte Carlo (MC) dataset of single- and two-track drift chamber events to advance Machine Learning (ML)-based track reconstruction. To enable standardized and compar…

hep-ex2026

Measurement of the singly Cabibbo-suppressed decay $Λ_{c}^{+} \to p η^{'}$ with Deep Learning

BESIII Collaboration, M. Ablikim, M. N. Achasov +689

Using $4.5$ fb $^{- 1}$ of $e^{+} e^{-}$ collision data collected with the BESIII detector at center-of-mass energies from 4.600 to 4.699 GeV, we report a measurement of the singly Cabibb…

hep-ex2025

Noise Filtering Algorithm Based on Graph Neural Network for STCF Drift Chamber

Xiaoqian Jia, Xiaoshuai Qin, Teng Li +7

The super $τ$ -charm facility (STCF) is a next-generation electron-positron collider with high luminosity proposed in China. The higher luminosity leads to increased background leve…

DCTracks: An Open Dataset for Machine Learning-Based Drift Chamber Track Reconstruction

Measurement of the singly Cabibbo-suppressed decay Λc+​→pη′ with Deep Learning

Noise Filtering Algorithm Based on Graph Neural Network for STCF Drift Chamber

Measurement of the singly Cabibbo-suppressed decay $Λ_{c}^{+} \to p η^{'}$ with Deep Learning