X. Jia

collaborators

4 papers

hep-ex2026

Observation of $Λ_{c}^{+} \to n π^{+} η$ and search for $Λ_{c}^{+} \to n a_{0} (980)^{+}$

BESIII Collaboration, M. Ablikim, M. N. Achasov +723

By analysing 6.1 $fb^{- 1}$ of data collected at center-of-mass energies between $s = 4.600$ and 4.843 $GeV$ with the BESIII detector at the BEPCII collider, we obser…

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 $I^_{c}^{+} \to p I^\cdot^{'}$ 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 $I ¨ $ -charm facility (STCF) is a next-generation electron-positron collider with high luminosity proposed in China. The higher luminosity leads to increased background lev…

Observation of Λc+​→nπ+η and search for Λc+​→na0​(980)+

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

Measurement of the singly Cabibbo-suppressed decay I^c+​→pI^⋅′ with Deep Learning

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

Observation of $Λ_{c}^{+} \to n π^{+} η$ and search for $Λ_{c}^{+} \to n a_{0} (980)^{+}$

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