Difference between revisions of "20190923-Analyzer-Mtg"
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− | + | Phone: Paul K., Cameron, Devi, Robert R., Sakib, Devaki, Wouter | |
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Latest revision as of 10:55, 23 September 2019
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Logistic information
Meeting room at JLab: CC F226
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Agenda
Analyzer code updates
- General discussion
- Pull requests
- #239---Feature-Aggregator Add Regressed
- Needs some "general cleanup" before merging
- #247---Feature alarm updates
- Merged
- #239---Feature-Aggregator Add Regressed
- New feature plans
- Continuing development of minirun functionality
- Data-handlers which can process results from other data-handlers
- I've made some progress, and expect to be committing it this week
- How do we want to check for residual correlation after correction? Done within a second pass in JAPAN, or as a post-processing script?
- BMW first pass extractor
- Cameron has been in contact with Wouter to get started, will follow up this week
Prompt analysis toolchain
- Status on the farm
- The analysis is basically ready, but we need to set up directories
- Also need to set up a procedure to stage outputs to tape. Cameron has checked the volatile location: 1TB reserved, 3TB available. We should ask for an increase
- Path to migration to japan
- Needs: Correlation/correction done on mini-run basis, BMW extractor
- Do we want to do all of the prompt plots again? Certainly for CREX; let's think about it for PREX
- If we redo them for PREX, we probably should make a new set of directories. Do we have enough space in the web directories?
- Aggregation
- Dithering analysis status & updates?
- Cameron has done some cleanup of the dithering analysis scripts, and it could be added as a postprocessing step
- We still would need to decide which supercycles to use to calculate the slopes for a particular run-range
- Lagrange analysis
- Tao thinks this probably should be merged with the dithering processing step
- It calculates sensitivities from dithering data, just as the dithering analysis does. Perhaps have one tool to get all the sensitivities, and then use them in different ways?
- Wouter makes the comments: Someone should think hard about the assumptions behind this Lagrange multiplier method: 1) assumes an identical Gaussian probability model for both dithering and natural beam motion data, 2) is sensitive to outliers, 3) assumes that all uncertainty is in the dependent variables (think: fits y values against x axis, ignoring uncertainty in all x points)
[See] https://arxiv.org/pdf/1008.4686.pdf for a fun read
- Wouter makes the comments: Someone should think hard about the assumptions behind this Lagrange multiplier method: 1) assumes an identical Gaussian probability model for both dithering and natural beam motion data, 2) is sensitive to outliers, 3) assumes that all uncertainty is in the dependent variables (think: fits y values against x axis, ignoring uncertainty in all x points)
Other issues
- Let's aim at getting everything ready for a respin by October 23.
- Cameron has skimmed through the dataset. Including the AT and SAMs in the regression, and thus cutting events when those channels have an issue is generally a small loss in events (~1e-4 lost event fraction). Maybe do three sets of regression: main detectors only, with ATs, and with ATs and SAMs.
Present
Tao, Weibin
Phone: Paul K., Cameron, Devi, Robert R., Sakib, Devaki, Wouter