Difference between revisions of "Jun 13, 2019 Calorimeter"

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# Announcements
 
# Announcements
# Action Items
+
# Action Items&version=1
 +
## Tolga: Can discuss timing task progress https://halldweb.jlab.org/doc-private/DocDB/ShowDocument?docid=4086
 +
## Karthik: Update on Nonlinearity study in z. https://halldweb.jlab.org/DocDB/0040/004003/003/BCal%20Nonlinearity%20in%20Z_final.pdf
 
# Run Updates
 
# Run Updates
 
## FCAL
 
## FCAL
### [https://halldweb.jlab.org/DocDB/0040/004084/001/MC_NeuralNet_Updates.pdf | MC and Neural Net Updates (Rebecca Barsotti)]
+
### [https://halldweb.jlab.org/DocDB/0040/004084/001/MC_NeuralNet_Updates.pdf MC and Neural Net Updates (Rebecca Barsotti)]
 
## BCAL
 
## BCAL
 
# Calibrations
 
# Calibrations
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= Minutes =
 
= Minutes =
''Attending:
+
''Attending: Elton, Mark, Tolga, Dhillon, Breanna, Sean (JLab); Matt, Rebecca, Colin (IU), Christina, George (Athens); Curtis, Will (CMU); Teagan, Karthik (UofR).
 +
 
 +
# Announcements
 +
# Action Items&version=1
 +
## Tolga: Can discuss timing task progress https://halldweb.jlab.org/doc-private/DocDB/ShowDocument?docid=4086
 +
### Generated 2 GeV n and g with particle gun. Plotted time difference between BCAL projected back to the vertex compared to RF time. Photons were aligned at zero, but neutrons had timing offsets of about 1-2 ns. (Neutron with p=2 GeV, has beta=0.9, so time difference between photons and neutrons over 2 m is about 1.2 ns).
 +
### Mark: Check generated position of target. Sean: Run more statistics to explore differences.
 +
## Karthik: Update on Nonlinearity study in z. https://halldweb.jlab.org/DocDB/0040/004003/003/BCal%20Nonlinearity%20in%20Z_final.pdf
 +
### pi0's were generated with a particle  gun over a broad range. This confirms earlier checks with the generation of single photons.
 +
### Compared dependence of pi0 peak as a function of energy (non-linearity correction) for data and MC.
 +
### Finds that the data and MC have different systematic behavior for pi0 masses below ~ 150 MeV (MC falls below true value as expected, data rises above true value).
 +
### Matt: concerned that the Gaussian fitted mean are not all reproducing the peak in the data. Mark: In the region of discrepancy (< 150 MeV), fits seem to be ok.
 +
### Mark: Suggests that the plots with fits show an expanded range (even if the fit is over a smaller range around the peak) to see the behavior of the fitted background.
 +
### Matt: Suggests using pi0's from exclusive omega sample. Note: Statistics are poor for omega sample, but could investigate pi+pi-pi0 generation at higher masses.
 +
# Run Updates
 +
## FCAL
 +
### [https://halldweb.jlab.org/DocDB/0040/004084/001/MC_NeuralNet_Updates.pdf MC and Neural Net Updates (Rebecca Barsotti)]
 +
### Extending study of neural net studies to distinguish photons from split-offs.
 +
### Comparing the extracted efficiency for data/MC as a function of the quality factor. Disagreement particularly poor at low energy.
 +
### Finds that the energy threshold is not well reproduced in MC. Updated mcsmear to include a) smearing of pedestal and b) smearing of threshold (due to variations in peak/integral ratio).
 +
### Updates to the mcsmear code and new table constants in CCDB, improve the comparison between data and MC. Good agreement for most energies up to quality cut of about 0.7.
 +
### Plan: Put the mcsmear code onto a git branch are ready for a pull request. Add tables to CCDB.
 +
### Sean: Can update CCDB once the structure of the tables is decided.
 +
### Note: These changes only affect the MC simulation.
 +
## BCAL
 +
# Calibrations
 +
# Monitoring
 +
# Simulations
 +
# BCAL Deep Learning
 +
# NIM articles
 +
# Any other business

Latest revision as of 13:38, 13 June 2019

Meeting Time: 11:00 a.m.

  1. To join via a Web Browser, go to the page [1] https://bluejeans.com/907185247.
  2. To join via Polycom room system go to the IP Address: 199.48.152.152 (bjn.vc) 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
    • US or Canada: +1 888 240 2560
  4. Upon connection all microphones are automatically muted. To unmute your mike on a Polycom or equivalent unit, enter *4. Unmuting on a computer is trivial as there is a microphone button than can be clicked.
  5. More information on connecting to bluejeans is available.

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. Send the location of a Wiki page to Matt, with information on the LED colors and voltages (Mark)
  2. 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&version=1
    1. Tolga: Can discuss timing task progress https://halldweb.jlab.org/doc-private/DocDB/ShowDocument?docid=4086
    2. Karthik: Update on Nonlinearity study in z. https://halldweb.jlab.org/DocDB/0040/004003/003/BCal%20Nonlinearity%20in%20Z_final.pdf
  3. Run Updates
    1. FCAL
      1. MC and Neural Net Updates (Rebecca Barsotti)
    2. BCAL
  4. Calibrations
  5. Monitoring
  6. Simulations
  7. BCAL Deep Learning
  8. NIM articles
  9. Any other business

Minutes

Attending: Elton, Mark, Tolga, Dhillon, Breanna, Sean (JLab); Matt, Rebecca, Colin (IU), Christina, George (Athens); Curtis, Will (CMU); Teagan, Karthik (UofR).

  1. Announcements
  2. Action Items&version=1
    1. Tolga: Can discuss timing task progress https://halldweb.jlab.org/doc-private/DocDB/ShowDocument?docid=4086
      1. Generated 2 GeV n and g with particle gun. Plotted time difference between BCAL projected back to the vertex compared to RF time. Photons were aligned at zero, but neutrons had timing offsets of about 1-2 ns. (Neutron with p=2 GeV, has beta=0.9, so time difference between photons and neutrons over 2 m is about 1.2 ns).
      2. Mark: Check generated position of target. Sean: Run more statistics to explore differences.
    2. Karthik: Update on Nonlinearity study in z. https://halldweb.jlab.org/DocDB/0040/004003/003/BCal%20Nonlinearity%20in%20Z_final.pdf
      1. pi0's were generated with a particle gun over a broad range. This confirms earlier checks with the generation of single photons.
      2. Compared dependence of pi0 peak as a function of energy (non-linearity correction) for data and MC.
      3. Finds that the data and MC have different systematic behavior for pi0 masses below ~ 150 MeV (MC falls below true value as expected, data rises above true value).
      4. Matt: concerned that the Gaussian fitted mean are not all reproducing the peak in the data. Mark: In the region of discrepancy (< 150 MeV), fits seem to be ok.
      5. Mark: Suggests that the plots with fits show an expanded range (even if the fit is over a smaller range around the peak) to see the behavior of the fitted background.
      6. Matt: Suggests using pi0's from exclusive omega sample. Note: Statistics are poor for omega sample, but could investigate pi+pi-pi0 generation at higher masses.
  3. Run Updates
    1. FCAL
      1. MC and Neural Net Updates (Rebecca Barsotti)
      2. Extending study of neural net studies to distinguish photons from split-offs.
      3. Comparing the extracted efficiency for data/MC as a function of the quality factor. Disagreement particularly poor at low energy.
      4. Finds that the energy threshold is not well reproduced in MC. Updated mcsmear to include a) smearing of pedestal and b) smearing of threshold (due to variations in peak/integral ratio).
      5. Updates to the mcsmear code and new table constants in CCDB, improve the comparison between data and MC. Good agreement for most energies up to quality cut of about 0.7.
      6. Plan: Put the mcsmear code onto a git branch are ready for a pull request. Add tables to CCDB.
      7. Sean: Can update CCDB once the structure of the tables is decided.
      8. Note: These changes only affect the MC simulation.
    2. BCAL
  4. Calibrations
  5. Monitoring
  6. Simulations
  7. BCAL Deep Learning
  8. NIM articles
  9. Any other business