19–25 Oct 2024
Europe/Zurich timezone

Anomaly Detection on BESIII EMC using Machine Learning

22 Oct 2024, 17:09
18m
Room 1.A (Medium Hall A)

Room 1.A (Medium Hall A)

Talk Track 3 - Offline Computing Parallel (Track 3)

Speaker

Mingrun Li (IHEP, CAS)

Description

The BESIII at the BEPCII electron-positron accelerator, which is located at IHEP, Beijing, China, is an experiment for the studies of hadron physics and $\tau$-charm physics with the highest accuracy achieved until now. It has collected several world's largest $e^+e^-$ samples in $\tau$-charm region. Anomaly detection on BESIII detectors is an important segment of improving data quality, enhancing data acquisition efficiency and monitoring detectors' status. An offline unsupervised autoencoder-based anomaly detection method is applied on CsI(Tl) electromagnetic calorimeter (EMC). This method checks over histograms generated by each crystal using Jensen-Shannon Distance as loss function. Comparing to traditional method, this method is able to provide more accurate anomaly information with less manpower consuming.

Primary author

Mingrun Li (IHEP, CAS)

Co-authors

Dr Chunxiu Liu (IHEP, CAS) Dr Xiaobin Ji (IHEP, CAS)

Presentation materials