Difference between revisions of "2023-02-09"

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(Additional brief reports from working groups as needed)
(Agenda)
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#** Happy Hour at Tradition after the closing session on Friday
 
#** Happy Hour at Tradition after the closing session on Friday
 
# PAC proposals
 
# PAC proposals
#** Run Group Proposal for TRD:  Brief Status and Plans (Lubomir and Mark D.)
+
#* Run Group Proposal for TRD:  Brief Status and Plans (Lubomir/Mark D.)
 
# Status of the Ongoing Run (Alexandre/Hovanes)
 
# Status of the Ongoing Run (Alexandre/Hovanes)
 
# Analysis Summaries (Sean)
 
# Analysis Summaries (Sean)

Revision as of 10:27, 8 February 2023

Meeting Coordinates

The meeting will be on Thursday, February 9, 2023 at 11:00 AM ET. For those in-person at JLab F324 is reserved

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Agenda

  1. Announcements
    • Dates for Collaboration May Meeting: May 23-25 + Monday and/or Friday for additional discussions as needed
  2. Collaboration Meeting: Feb. 15-17
    • Agenda
    • Extracurricular Activities:
      • Wednesday pre-meeting lunch with students and postdocs onsite -- RSVP by Friday (Matt/Justin)
      • Thursday student and postdoc lunch discussion on the publication process and writing analysis notes (Jon/Peter)
      • Thursday evening reception in the atrium (thanks Curtis!)
      • Friday open lunch discussion with the Collaboration Board in F113
      • Happy Hour at Tradition after the closing session on Friday
  3. PAC proposals
    • Run Group Proposal for TRD: Brief Status and Plans (Lubomir/Mark D.)
  4. Status of the Ongoing Run (Alexandre/Hovanes)
  5. Analysis Summaries (Sean)
  6. Progress on Publications
    • ρ SDME paper draft (Alex/Curtis/Naomi)
    • J/ψ under committee review (Lubomir/Ryan)
  7. Data Calibration, Monitoring, and Production (Igal)
    • CPP Calibration is ongoing; code for new detectors needed (Beni)
  8. Specific areas where specialized help is needed -- contact Matt if you are interested in contributing to these
    • TAGH calibration, hardware maintenance, etc.
    • Production validation of Hydra AI for data quality monitoring
    • Systematic studies of kinematic fitting, efficiency of chi^2 cuts, etc., in data and MC
      • maintenance of kinematic fitting framework

Additional brief reports from working groups as needed

  • Hardware Working Groups: