Difference between revisions of "AIEC Weekly Meeting May 5, 2022"

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(Created page with "=== Connection Info: === <div class="toccolours mw-collapsible mw-collapsed"> You can connect using [https://jlab-org.zoomgov.com/j/1601987443?pwd=bUVPV3puTHJPU0Fub2Q2Z1dsV0Jj...")
 
 
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=== Agenda: ===
 
=== Agenda: ===
 
# [[AIEC Weekly Meeting Apr. 28, 2022| Previous Meeting]]
 
# [[AIEC Weekly Meeting Apr. 28, 2022| Previous Meeting]]
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# UVA Capstone ([https://docs.google.com/document/d/1lbb89vG8r1_EpXiBY0NXIRA9fGKJ2X06kGNZNP2alJ0/edit?usp=sharing 2021 application])
 
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# Activities:
 
# Activities:

Latest revision as of 18:12, 5 May 2022

Connection Info:

You can connect using ZOOM Video conferencing (ID: 1601987443). (Click "Expand" to the right for details -->):

One tap mobile: US: +16692545252,,1601987443# or +16468287666,,1601987443#

Meeting URL: https://jlab-org.zoomgov.com/j/1601987443?pwd=bUVPV3puTHJPU0Fub2Q2Z1dsV0JjQT09&from=addon
Meeting ID: 160 198 7443
Passcode: 607906

Join by Telephone
For higher quality, dial a number based on your current location.
Dial:
US: +1 669 254 5252 or +1 646 828 7666 or +1 669 216 1590 or +1 551 285 1373 or 833 568 8864 (Toll Free)
Meeting ID: 160 198 7443
International numbers
Join from an H.323/SIP room system
H.323: 161.199.138.10 (US West)
161.199.136.10 (US East)
Meeting ID: 160 198 7443
Passcode: 607906

SIP: 1601987443@sip.zoomgov.com
Passcode: 607906

Agenda:

  1. Previous Meeting
  2. UVA Capstone (2021 application)
  3. Activities:
    • BCAL baseline (slides)
    • Cosmics run analysis
    • Uncertainty Quantification
    • CPP preparations
    • FDC calibration
    • Next steps
      • CLAS12 ECAL PMT gain
      • GlueX TOF
  4. Talks/Presentations
  5. Publications:

Important Dates


Notes

  1. Evaluate uncertainty
    • 1, 2, 3 sigma tests on holdout from 2020 and 2021 data
    • check uncertainty for a slice of data in the high uncertainty zone to see if it is stable or gradually increasing.
  2. DECISION: how to use uncertainty?
    • When uncertainty over a threshold project to "closest" point on a spherical map of inputs to uncertainty, and use the GCF/HV setting for the closest point.
  3. DECISION: what is the threshold?
    • 0.004
  4. DECISION: Which model to use in CPP
    • GPR with learned prior, trained on 2020 and 2021 data.
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