AIOP Jul. 8, 2024
The current weekly meeting time is every other Monday at 13:00 US/Eastern
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Meeting ID: 160 515 9491
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Meeting URL: https://jlab-org.zoomgov.com/j/1605159491?pwd=ZnB0Vkp0SCtYZmRPWG1hRGVnQVprUT09&from=addon
Meeting ID: 160 515 9491
Passcode: 680042
AIOP - Polarized Target
Agenda:
- Previous Meeting
- Announcements
-
- Quarterly report due to DOE July 26th
- David OoO Jul. 20 - Aug. 5 (Jul. 22 meeting: Thomas chair, Torri review slides)
-
- Conferences/Workshops
- CAARI-SNEAP (July 21-26) Torri
- PSTDP2024 (Sept. 22-27) Patrick will submit abstract, Jiawei will attend
- Project Progress
- Data mining/preparation
- GitHub AIOP Project (AIOP-Photon issues)
- Milestones: PDF(GitHub AIOP Project AIOP-Photon issues FTE Profiles)
- PIER Activities
- Middle School Data Science Hackathon Workshop
- HUGS mini-Workshop - COMPLETED!
- AOT
Minutes
- AIOP target
- Torri, Thomas, David, Armen, James, Patrick, Malachi
- Announcements
- Quarterly report due the 26th of July
- Cancelling July 22nd due to correlated ooo
- Project Progress
- Data mining
- Torri
- Switched baseline fit function to x-x0 and showed Pearson R correlation values
- Not seeing much for proton but seeing some stuff for deuteron
- Thomas questioned the different NaNs; James explained that it was due to certain values not being recorded at different times
- Need to change this fit function to remove the b term which could crystallize some correlations
- Done and will rerun
- Switched baseline fit function to x-x0 and showed Pearson R correlation values
- Armen
- Reviewed fitting process and gave it more data and it can learn (pos and neg together)
- Malachi requests uncertainty bands
- Armen has preliminary he is withholding while he works to understand the toolkit
- Malachi requests uncertainty bands
- Reviewed fitting process and gave it more data and it can learn (pos and neg together)
- Torri gave cleaned proton data
- Training the model right now…will take a while
- Questions on TGT:PT12:Separator_F. High number of NaNs
- James: not as valuable as refrigerator flow
- Also trained by replacing cc with area
- Torri suggested checking label on outliers as they might not be "good" runs
- Next step: take surrogate (assuming it is satisfactory) and put in gym for the RL step
- Torri
- Reviewed Milestones
- M01
- SANE data is quite different so setting it aside for now (Armen doesn’t need)
- M02
- M03
- Done
- M04
- James has a tool
- M01
- Data mining