[2025-01-18] For better promotion of the events, the categories in this system will be adjusted. For details, please refer to the announcement of this system. The link is https://indico-tdli.sjtu.edu.cn/news/1-warm-reminder-on-adjusting-indico-tdli-categories-indico

Kun's weekly group discussion

Asia/Shanghai
Lab Room #S244 (Tsung-Dao Lee Institute)

Lab Room #S244

Tsung-Dao Lee Institute

Kun Liu (TDLI / SJTU)
Description

会议链接/Zoom Link
https://cern.zoom.us/j/66708976616?pwd=wIvRGTja7ooamUftTYtz7brdc6ynl9.1

会议号/Meeting ID: 667 0897 6616

会议密码/Passcode: 949845

    • 09:30 10:00
      Tracker Team: Hardware, Reconstruction, Simulation and Analysis
      • 09:30
        Tracker R&D 10m

        Hardware: DS Tracker Module based on Baby_2 and AC-LGAD sensors

        Speakers: Dian YU (Tsung-Dao Lee Institute), Kang Liu, Lin Yang (TDLI), xiang li (tdli)
      • 09:40
        Track Reconstruction 10m

        Dark SHINE and CEPC

        Speakers: Dian YU (Tsung-Dao Lee Institute), Kang Liu, Lin Yang (TDLI)
      • 09:50
        Simulation and Analysis 10m

        Dark SHINE, CEPC and ITk Test Beam

        Speakers: Dian YU (Tsung-Dao Lee Institute), Yufeng Wang (TDLI)

        Lin's CLHCP Report

        outline

        1. intro to ATLAS ITk strip detector
        2. intro to test beam facilities
        3. intro to data analysis tools
        4. SS-406 and SS-381 results
    • 10:00 10:40
      ATLAS: Analysis, Performance and Physics
      • 10:00
        Egamma performance 10m

        Run2, Run3

        Speaker: Lin Yang (TDLI)
      • 10:10
        Higgs analysis 30m
        Speakers: Dian YU (Tsung-Dao Lee Institute), Kang Liu, Lin Yang (TDLI), xiang li (tdli)

        Dian:

        1. GN3 efficiency study reported on ATLAS Run 3 HH → bbγγ and H → γγ couplings analysis group. Many comments received. (TODO: train BDT with samples passed AT_LEAST_TWO_B_JETS selection)
        2. Ran lacking samples, mainly on BSM (kappa lambda 0, 2.5, 5, 10, kappa 2v 0, 1, 1.5, 2, 2.5, 3)
        3. Wrote scripts for producing ntuples with featured branches for BDT training

        TODO:

        1. Evaluate the influence of ttyy_allhad sample (to fix PanDA or use reweighting based on mc23d&e)
        2. train BDT model
        3. categorization using the model
        4. calculate Asimov significance based on the categorization
    • 10:40 10:50
      General issues 10m

      Feel free to continue the discussion and share your opinions with the group.

      Speakers: Dian YU (Tsung-Dao Lee Institute), Jialin Li, Kang Liu, Lin Yang (TDLI), xiang li (tdli)