25–29 Apr 2026
Kechuang Building
Asia/Shanghai timezone

AI for WCDA: models and data test

27 Apr 2026, 13:50
20m
A102 (Kechuang Building)

A102

Kechuang Building

NO.1520 Taihu Blvd, Suzhou, Jiangsu, China
Oral report (20min) AI and Others session

Speakers

Shicong Hu (高能所) Yong Huang

Description

In this report, we present our exploration of leveraging Vision Transformers to enhance the performance of WCDA. Using pre-trained ViT and Swin Transformer, we inject the hit's charge and time information into different color channels of the images and conduct a systematic study on the effects of patch number, image resolution, and other factors. Based on the above methodology, we achieve approximately a 1.6× sensitivity improvement in background rejection compared to traditional methods, along with certain gains in directional reconstruction.

Primary author

Shicong Hu (高能所)

Co-author

Zhiguo Yao (IHEP, Beijing, China)

Presentation materials