4D Tracking and 5D Calorimetry

Wednesday 17 Jan 2024, 10:30 → 12:30 America/Los_Angeles

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"

 

10:30 → 11:00 4D Tracking

10:30 Tracking clustering, seeding and finding

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

10:40 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

10:50 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.

11:00 → 11:40 5D Calorimetry

11:00 Vertex t0 reconstruction

• t0 resolution and efficiency
• Applications:
  o t0 for HGTD
  o PU suppression
  o LLP search (displaced photons/jets)

Speaker: Doyeong Kim

5D calorimeter - single pion 2023 01 10.pdf

During today's meeting, the following updates and discussions were shared:

Doyeong:

• Continued the check of the impact of layer 1&2 on neutral pion timing resolution. In the Columbia team's study, they didn't see any meaningful improvement by adding layer1. 
• Timing resolution was initially checked with truth pion pT < 20 GeV, and it was found that layer 1 has a better timing resolution than layer 2. 
• The check was done in the extended truth pion pT range up to 200GeV with newly generated, but smaller size sample. 
• Quick check says that layer 1 is still perform better at higher pT range (> 20 GeV)
• Raised questions and action items:
  • Question1: why layer 2 does not show better timing resolution despite having most of the energy deposit (slide 4-5)
  • Question2: timing resolution with both layers is not always better than that from individual layers (slide 3)
    • Probably because of poor calibration, but we can check further
  • We can check by comparing timing resolution using cell E as weight instead of RMS^2
  • In general, more meticulous check will be done with a bigger sample (will be ready by today)
  • Once, neutral pion study is finalized, the focus will shift to the charged pion study
    • main item: adding tile

 

Zahra: generating samples

Sanha:

• Working on adding calorimeter cell information to Lorenzo's Ntuple maker
  • The package runs out of the box, but needs more modification for our study
  • tt-bar AOD samples replicated (confirmed that it had cell information at AOD level by Hector)
    • mc15_14TeV:mc15_14TeV.600012.PhPy8EG_A14_ttbar_hdamp258p75_nonallhad.recon.AOD.e8185_s3770_s3773_r13619_tid33386270_00
    • https://rucio-ui.cern.ch/rule?rule_id=af72cce2d614435b88238ca1010051eb 
  • Discussion: De we need full PU truth information? 
    • probably not at the moment
  • A question was raised about whether PU impact is negligible enough to ignore in time smearing, or whether we can simply apply pT cut
    • We don't know yet
    • Plan: we reconstruct the calorimeter condition with 200 PU, but generate samples without PU
    • Once the sample is generated under this condition, we'll decide if any truth information needs to be included in our Ntuple by looking at the initial plots.

 

11:10 Single pion studies

• time evolution/structure of pion showers
• response vs time
• neutron component identification

Speakers: Doyeong Kim, Zahra Farazpay (Loisiana Tech)

11:20 Space-time structure of hadronic showers

• Response vs time
• overlapping showers
• time-aware GNN PFlow reconstruction

Speaker: Zahra Farazpay (Loisiana Tech)

11:30 Higgs Factory calorimeter timing studies

11:40 → 12:15 Electronics and Sensors: 4D/5D techniques

11:40 LGDAs

Speakers: Christopher Kenney (SLAC), Julie Segal (SLAC)

11:50 28nm CMOS TDC ASIC

Speakers: Bojan Markovic (SLAC), Larry Ruckman (SLAC)

12:00 4D Tracking and 5D Calorimetry electronic concepts

12:10 Intelligent readout: 4D pixel and 5D calorimeter clustering