May 2, 2019 Calorimeter

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Meeting Time: 11:00 a.m.

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Participant Direct Lines

  • JLab Phone in CC L207 is 757-269-7084 (usual room)
  • JLab Phone: in CC F326 is 757-269-6460
  • Phone in the Regina Video-conference Suite is 306-585-4204
  • Athens Phone: in Christina's office is 011-30-210-727-6947

References

  1. FCAL HDFCAL log book
  2. BCAL HDBCAL log book

Goals for Calorimetry Group

  1. Determine preliminary photon reconstruction efficiencies as a function of E, phi and theta in data and simulation with a point-to-point precision of at least 5%.
  2. Measure systematics of pi0/eta mass calibration as a function of detector position to a precision of at east 5 MeV.
  3. Demonstrate agreement of photon reconstruction efficiency and resolution between data and simulation as a function of E, phi and theta to within 5%.

Action Items

Short term items:

  1. Complete Calorimeter work packages

Long term items:

  1. From Mike's work: -cos(phi) type dependence in the data and a phi dependence at the downstream end of the bcal. See Sep 21, 2017 Calorimeter Meeting.
  2. FCAL: It has been noticed that the pi0 mass shifts when the LED pulser runs at high rate. This is still not understood. See Log Entry 3595928 and references. Several runs have been taken in raw mode. These runs exhibit the shift in pi0 mass with LED running at 1 kHz. There is a need to analyze these to try to determine the cause:
    1. 50634 - FCAL Green LED: 1kHz, 29 V, Livetime is 9%, 1.7 M events
    2. 50635 - FCAL Violet LED: 1kHz, 22 V, Livetime is 9%, 1.4 M events
    3. 50636 - FCAL Blue LED: 1kHz, 15 V, Livetime is 9%, 1.5 M events

Tentative Agenda

  1. Announcements
    1. Collaboration Meeting May 14-16, 2019 at Jefferson Lab.
  2. Action Items
  3. Run Updates
    1. FCAL
    2. BCAL
  4. Calibrations
    1. GlueX-doc-3991 Costhe Efficiency Update (Elton)
  5. Monitoring
  6. Simulations
  7. BCAL Deep Learning - introduction
  8. NIM articles
  9. Any other business

Minutes

Attending: Elton, Mark, Sean, Colin (JLab); Matt, Jon (IU); Zisis, Ahmed, Karthik, Dillon, James (UofR); Curtis, Will (CMU); Christina, George (Athens); Tolga (FIU).

  1. Announcements
    1. Collaboration Meeting May 14-16, 2019 at Jefferson Lab.
      • Zisis will give a summary of FCAL/BCAL. Please send him information by next Wed to include into the talk. (Also copy Mark)
      • Mark will give the talk at the Data/MC Workshop following the collaboration meeting.
  2. Action Items
    • We reviewed updates on the calorimeter work packages. This list will serve as an outline to a document to be prepared for the Data/MC workshop
    • Sean: His student has been looking Athens the gp->f0p, f0->pi0pi0 exclusive channel. He is comparing G4 MC with data on pi0 masses and widths.
    • Tolga: Wants to get started on investigating calorimeter timing (work package #10). He will contact Mark for how to get started.
  3. Run Updates
    1. FCAL
    2. BCAL
      • The upstream BCAL chiller is being reversed flushed with hot water and filter changed. That procedure helped clean it out before the spring run. It accumulates higher amounts of debris than the downstream, so it runs at higher pressure. Performance is ok, but we continue to try to clean it so it can run at lower pressure.
  4. Calibrations
    1. GlueX-doc-3991 Costhe Efficiency Update (Elton)
      • More info in Log Entry 3681014
      • Elton showed run to run comparisons for a few runs in 2017 at low intensity and high intensity. Kinematic data distributions are not all reproduced by MC and in particular the discrepancy between Data/MC is worse for the low intensity runs. The differences are particularly worse for pion and photon momenta.
      • We find that the run-to-run relative efficiency comparison between Data/MC increases at low energy and is up to ~20%. The causes of this discrepancy are not understood.
      • Sean: Suggests we make a plot of pi+ theta vs P to see if the acceptances is affecting comparison.
  5. Monitoring
    • Ahmed: He is updating his report on BCAL LED monitoring based on comments from the last meeting and Zisis is reviewing it. Once updated, he will make it available.
  6. Simulations
  7. BCAL Deep Learning - introduction
    • Zisis: In preparation for work this summer, there was a preparation meeting for students lead by Cristiano. They reviewed ideas to implement deep learning based on previous efforts (e.g. Teagan and Justin using boosted decision trees) to improve PID
    • During the summer they will investigate both PID and shower reconstruction with the aim of comparing with the existing procedures. Not expecting to replace the working procedures but could if they offer improvements. PID includes looking at neutral vs charged showers and neutron vs photon.
  8. NIM articles
  9. Any other business