4D Tracking and 5D Calorimetry

Name: 4D Tracking and 5D Calorimetry
Start: 2023-09-28T10:00:00-07:00
End: 2023-09-28T12:00:00-07:00
Location: No location set

Thursday 28 Sept 2023, 10:00 → 12:00 America/Los_Angeles

Description

Zoom:

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

Password: 059507

Publications:

https://cds.cern.ch/record/2870326 "Investigating the impact of 4D Tracking in ATLAS Beyond Run 4"

- 10:00 → 10:30
  4D Tracking
  - 10:00
    
    Tracking clustering, seeding and finding 10m
    
    Tracking performance (purity, efficiency, CPU time)
    minimum pT threshold
    Large-R tracking
  - 10:10
    Object performance: b-tagging, charm-tagging, tau-tagging, PU suppression, Missing ET, particle flow 10m
    
    b-tagging
    
    charm-tagging
    
    tau-tagging
    
    PU suppression
    
    Missing ET
    
    Particle flow
  - 10:20
    
    Layout studies 10m
    
    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.
- 10:30 → 11:10
  5D Calorimetry
  - 10:30
    Vertex t0 reconstruction 10m
    
    t0 resolution and efficiency
    
    Applications:
    o t0 for HGTD
    o PU suppression
    o LLP search (displaced photons/jets)
    
    Speaker: Doyeong Kim
  - 10:40
    Single pion studies 10m
    
    time evolution/structure of pion showers
    
    response vs time
    
    neutron component identification
    
    Speakers: Doyeong Kim, Zahra Farazpay (Loisiana Tech)
    
    HFSF2023 FollowUp - 12.pdf
    
    Doyeong
    Summary
    Last week, we found that cell timing resolution depends on the EM calo layer. This week, I checked the following:
    Checked for any dependency on truth pion pT (slide 6, 7)
    Fitted the distribution using the function A + (B/x) + (C/x^2) + (D/x^3) (slide 6, 7)
    Applied the fit functions for calibration (slide 8-12)
    
    Action Items
    Update the fit function for RMS vs cell time to be physics-motivated: A + Bsqrt(x) + Cx, where A represents noise, B represents stochastic effects, and C represents a constant term.
    Update the fit function for mean vs cell time to be simple, like exponential.
    Include additional selection criteria to compare averaged distributions with one cell and two cells:
    Currently, the averaged distributions on slides 11 and 12 include different sets of events.
    To ensure a fair comparison, select events with at least one cell after applying the cell E > 2GeV cut.
    Then apply the 2GeV and lower cell E cuts to compare the same set of events with different cuts.
    We expect to see enhanced timing resolution from the lower cell E cut.
    Add an energy resolution plot for validation.
    The same study with Pi0.
  - 10:50
    Space-time structure of hadronic showers 10m
    
    Response vs time
    
    overlapping showers
    
    time-aware GNN PFlow reconstruction
    
    Speaker: Zahra Farazpay (Loisiana Tech)
  - 11:00
    
    Higgs Factory calorimeter timing studies 10m
- 11:10 → 11:40
  Electronics and Sensors: 4D/5D techniques
  - 11:10
    
    LGDAs 10m
    
    Speakers: Christopher Kenney (SLAC), Julie Segal (SLAC)
  - 11:20
    
    28nm CMOS TDC ASIC 10m
    
    Speakers: Bojan Markovic (SLAC), Larry Ruckman (SLAC)
  - 11:30
    
    4D Tracking and 5D Calorimetry electronic concepts 10m