2024年粒子物理实验径迹重建研讨会 Workshop of Tracking in Particle Physics Experiments

Contribution List

32. Welcome & Introduction

17/05/2024, 08:30

Tracking experience of HEP experiments

2. Track reconstruction and performance of BESIII

Liang-Liang Wang (Institute of High Energy Physics (Beijing))

17/05/2024, 08:45

Tracking experience of HEP experiments

30. Track reconstruction and performance of COMET

Tianyu Xing (高能所)

17/05/2024, 09:25

Tracking experience of HEP experiments

3. Tracking reconstruction and performance of CEPC

梦瑶 刘 (高能所)

17/05/2024, 09:50

Tracking experience of HEP experiments

4. Track reconstruction and performance of STCF

Hang Zhou (University of Science and Technology of China)

17/05/2024, 10:50

Tracking experience of HEP experiments

5. Track reconstruction and performance of darkSHINE

Junhua Zhang (Shanghai Jiao Tong University)

17/05/2024, 11:20

Tracking experience of HEP experiments

6. Track reconstruction and performance of LHCb

Peilian Li (UCAS)

17/05/2024, 14:00

Tracking experience of HEP experiments

7. Track reconstruction and performance of ATLAS

Christian Grefe (University of Bonn)

17/05/2024, 14:40

Tracking experience of HEP experiments

8. Track reconstruction and performance of BELLE-II

Thomas Lueck (INFN - National Institute for Nuclear Physics)

17/05/2024, 15:50

Tracking experience of HEP experiments

9. ACTS status

Andreas Salzburger (CERN)

17/05/2024, 16:30

Tracking experience of HEP experiments

29. Quantum algorithms for track reconstruction at future colliders

Hideki (英希) Okawa (大川) (IHEP)

17/05/2024, 17:10

Tracking experience of HEP experiments

12. Track finding with Cellular Automaton

Aiqiang GUO (Institute of modern physics, Chinese Academy of Sciences)

18/05/2024, 09:00

Track finding algorithms (CA and ML)

11. GNN for tracking at BESIII and STCF

晓倩 贾 (山东大学)

18/05/2024, 09:25

Track finding algorithms (CA and ML)

28. GNN for tracking at g-2

Bingzhi Li (Zhejiang Lab 之江实验室)

18/05/2024, 09:50

Track finding algorithms (CA and ML)

27. Arbor and Jet origin id reconstruction at CEPC

Manqi Ruan (IHEP)

18/05/2024, 10:40

Track-based high-level object reconstruction and detector alignment

13. Alignment of BESIII

Linghui Wu (IHEP)

18/05/2024, 11:15

Track-based high-level object reconstruction and detector alignment

15. L1 tracking of CMS

Zhen Hu (Tsinghua University)

18/05/2024, 14:00

Online tracking and trigger

16. Development of first level track trigger at Belle II using Deep Neural Network

Yuxin （宇鑫） Liu （刘） (The Graduate University for Advanced Studies, SOKENDAI)

18/05/2024, 14:20

Online tracking and trigger

17. MDC Track Reconstruction for the Pre-Research of STCF L1 Trigger

艺迪 郝 (中国科学技术大学)

18/05/2024, 14:50

Online tracking and trigger

18. EDM4hep: the Data Model in Key4HEP

Jiaheng Zou (高能所)

18/05/2024, 15:50

GPU-accelerated tracking

19. TRACCC status

Beomki Yeo (UC Berkeley)

18/05/2024, 16:20

GPU-accelerated tracking

20. TRACCC seeding for the CEPC pixel detector

逸舟 张

18/05/2024, 16:50

GPU-accelerated tracking

21. Detector geometry description and implementation

腾 李 (Shandong University)

19/05/2024, 09:00

Detector geometry description and optimization

22. Detector geometry optimization

Gang LI (高能所) , LI Gang ( EPD.IHEP ) (高能所)

19/05/2024, 09:30

Detector geometry description and optimization

23. Discussion: low momentum tracking

Jin Zhang (Sun Yat-Sen (Zhongshan) University)

19/05/2024, 10:30

Discussion and prospects

24. Discussion: tracking in high noise/dense environment

Xiaoshuai Qin (Shandong University)

19/05/2024, 10:50

Discussion and prospects

25. Discussion: Long-lived particle tracking

Xiaocong Ai (Zhengzhou University)

19/05/2024, 11:10

Discussion and prospects

26. Discussion: prospects of common tracking software for future HEP experiments

Xiaocong Ai (Zhengzhou University)

19/05/2024, 11:25

Discussion and prospects

1. Introduction

Xiaocong Ai (Zhengzhou University)

Tracking experience of HEP experiments

31. Introduction & Welcome

Welcome & Introduction

14. Kalman-Filter based alignment in ACTS

Xiaocong Ai (Zhengzhou University)

Track-based high-level object reconstruction and detector alignment

10. ML for HEP tracking

Track finding algorithms (CA and ML)