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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

    • 14:30 → 15:00
      Tracker Team: Hardware, Reconstruction, Simulation and Analysis
      • 14:30
        Tracker R&D 10m

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

        Speakers: Dian YU (Tsung-Dao Lee Institute), Lin Yang (TDLI), ML Huang (TDLI), xiang li (tdli)
      • 14:40
        Track Reconstruction 10m

        Dark SHINE and CEPC

        Speakers: Dian YU (Tsung-Dao Lee Institute), Lin Yang (TDLI)
      • 14:50
        Simulation and Analysis 10m

        Dark SHINE, CEPC and ITk Test Beam

        Speaker: Dian YU (Tsung-Dao Lee Institute)
    • 15:00 → 15:40
      ATLAS: Analysis, Performance and Physics
      • 15:00
        Egamma performance 10m

        Run2, Run3

        Speakers: Lin Yang (TDLI), xiang li (tdli)
        calibration605.pdf
        tightmenu_efficiency_sf_eta_0_0p6.pdf
        tightmenu_efficiency_sf_eta_0p6_0p8.pdf
        tightmenu_efficiency_sf_eta_0p8_1p37.pdf
        tightmenu_efficiency_sf_eta_1p52_1p81.pdf
        tightmenu_efficiency_sf_eta_1p81_2p01.pdf
        tightmenu_efficiency_sf_eta_2p01_2p37.pdf

        Photon ID

        done works

        • scripts for ID eff and SF calculation and plotting;
        • narrowed hyper-parameter scan to obtain the truly optimal NF structure;
        • using hyper-parameters from the broad scan, trained the NF model on the range of [0,9000000];
        • flattened and format-transformed data22 Zee ntuple;
        • using hyper-parameters from the broad scan, applied the trained NF model on 1 million MC and Data ele;
        • ID eff and SF plots.

        onging

        • using optimal hyper-parameters from the narrowed scan, train the NF model on the full dataset;
        • using optimal hyper-parameters from the narrowed scan, apply the NF model on the full dataset;

        to-do list

        • summarize results
        • internal notes

         

      • 15:10
        Higgs analysis 30m
        Speakers: Chonghao Wu (SJTU, TDLI), Dian YU (Tsung-Dao Lee Institute), Lennart Baumgärtel (Tsung-Dao Lee Institute), Lin Yang (TDLI), xiang li (tdli)

        ttH-ML:

        Merge samples for plotting.

        Display yields of each sample.

        More plots in https://cernbox.cern.ch/s/XIRk78yDdVYmhHU

        dummy ttW selection:

        • pass_SR2lSS_mediumDNN_NOSYS
          passes_trigger_NOSYS
          N_lepton = 2
          SS
          N_b-jet(85%) >= 1
          N_jet = 2 or 3
          lepton pt > 15 GeV
          N_tau = 0
           

         

        Others:  

        rerunning the production of data samples because of a bug in muon PLIT

         

    • 15:40 → 15:50
      General issues 10m

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

      Speakers: Chonghao Wu (SJTU, TDLI), Dian YU (Tsung-Dao Lee Institute), Jialin Li, Lin Yang (TDLI), ML Huang (TDLI), xiang li (tdli)