AIOP Jun. 24, 2024
The current weekly meeting time is every other Monday at 13:00 US/Eastern
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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
- Conferences/Workshops
- CAARI-SNEAP (July 21-26) Torri
- PSTDP2024 (Sept. 22-27)
- 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
- Prior Announcements
- Patrick will write an abstract and send around for Polarization workshop
- Torri will present 50% AIEC/AIOP in Texas
- Project Progress
- Data mining
- Torri
- Showed a notebook with distributions of fit params and inputs.
- Starting to see some correlations in some subsets
- Looking at Fridge_F (flow) and fit params
- Move x–> (x-x0)
- Looked at other variables
- Chris gave explanation for some groupings seen in the data
- Armen
- Proton data fits without CC
- Does slightly better (?)
- Same data
- Speculate that it may be collapsing to the average of a value that doesn’t change much.
- Discussed approaches with/without cc
- Does slightly better (?)
- Trying to train with both positive and negative values doesn’t work
- Split data pos: 22k neg: 13k
- Some confusion on counts post split
- Thomas noticed the split meant 0s end up in both
- Torri/Chris discussed the kinds of data and what restrictions they have (defined to be positive)
- Can train well if pos and neg are trained apart. Not together
- Discussion of better engineered features than mean, stdev
- Use area?
- Split data pos: 22k neg: 13k
- Proton data fits without CC
- Torri
- Data mining
- Todo
- Armen to use area (which he already has) to retrain pos/neg data