4D Tracking and 5D Calorimetry

America/Los_Angeles
Description

Zoom:

https://stanford.zoom.us/j/92728532486pwd=eHBpcDQ0RjdnZlBjQmRHYW1WRjdFUT09

Password: 059507

Publications:

 

    • 4D Tracking
      • 1
        Tracking clustering, seeding and finding

        Tracking performance (purity, efficiency, CPU time)
        minimum pT threshold
        Large-R tracking

      • 2
        Object performance: b-tagging, charm-tagging, tau-tagging, PU suppression, Missing ET, particle flow
        • b-tagging
        • charm-tagging
        • tau-tagging
        • PU suppression
        • Missing ET
        • Particle flow
      • 3
        Layout studies

        Mechanical, electrical (power), radiation, and data-transmission constraints for either a second layer replacement or a dedicated third timing layer. Consider potential technologies for sensors, electronics, and data-transmission. Study barrel and disk options separately.

    • 5D Calorimetry
      • 4
        Vertex t0 reconstruction
        • t0 resolution and efficiency
        • Applications:
          o t0 for HGTD
          o PU suppression
          o LLP search (displaced photons/jets)
        Speaker: Doyeong Kim
      • 5
        Single pion studies
        • time evolution/structure of pion showers
        • response vs time
        • neutron component identification
        Speakers: Doyeong Kim, Zahra Farazpay (Loisiana Tech)
      • 6
        Space-time structure of hadronic showers
        • Response vs time
        • overlapping showers
        • time-aware GNN PFlow reconstruction
        Speaker: Zahra Farazpay (Loisiana Tech)
      • 7
        Higgs Factory calorimeter timing studies
    • Electronics and Sensors: 4D/5D techniques
      • 8
        LGDAs
        Speakers: Christopher Kenney (SLAC), Julie Segal (SLAC)
      • 9
        28nm CMOS TDC ASIC
        Speakers: Bojan Markovic (SLAC), Larry Ruckman (SLAC)
      • 10
        4D Tracking and 5D Calorimetry electronic concepts
      • 11
        Intelligent readout: 4D pixel and 5D calorimeter clustering