May 30, 2019 Calorimeter

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Meeting Time: 11:00 a.m.

  1. To join via a Web Browser, go to the page [1]
  2. To join via Polycom room system go to the IP Address: ( and enter the meeting ID: 907185247.
  3. To join via phone, use one of the following numbers and the Conference ID: 907185247.
    • US or Canada: +1 408 740 7256 or
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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


  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
  2. Action Items
  3. Run Updates
    1. FCAL
    2. BCAL
  4. Calibrations
  5. Monitoring
  6. Simulations
  7. BCAL Deep Learning
  8. NIM articles
  9. Any other business


Attending: Mark, Sean Colin (JLab), Will (CMU), Matt (IU), Christina, George (Athens), Tegan, Karthik, Zisis (Regina)

  1. Announcements: none
  2. Action Items
    1. Work packages: (item number below refer to the table on that Wiki page)
      1. Mark reported that the first iteration of this item has been completed, employing the simplest cuts. More sophisticated cuts will be investigated in the future. Sean sent an email last week: he implemented the changes but needs someone to review them before they are checked in.
      2. Karthik is working on the report and it should be available soon. The BCAL response near its ends is not completely understood.
      3. Colin reported that item 3 has been completed.
      4. Matt reported that Jon is working on this and should be able to report progress in two weeks. The next thing to tackle is the implementation of fiducial cuts; Sean has this in a branch.
      5. Karthik will start looking at this after his report on Item 2 is done.
      6. Mark suggested that this item needs the previous to be completed and then can act as a stress test on the method. Preliminary studies indicated that we can access some parts of phase space.
      7. Nothing new on this item.
      8. Matt said that work is ongoing on the MC although not in connection to energy resolution. The work is focused on tuning the neural net and nonlinearity. Data tables will be added to CCDB to tune the low energy response of the FCAL (Rebecca). Sean also reported that Lorentz will work on this after the HUGS school.
      9. Nothing to report.
      10. Tolga has started working on the timing (neutrons vs photons) and has an iniitlal list of things to purse, but is now in HUGS. He should be able to report in 4-6 weeks.
    2. Mike's cos(theta): these investigations are included in the work packages.
    3. FCAL pulser: nothing to report.
  3. Run Updates
    1. FCAL
    2. BCAL
  4. Calibrations
  5. Monitoring
  6. Simulations
  7. BCAL Deep Learning
  8. NIM articles
  9. Any other business