20190923-Analyzer-Mtg

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Meeting room at JLab: CC F226

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Agenda

Analyzer code updates

1. General discussion
2. Pull requests
   • #239---Feature-Aggregator Add Regressed
     • Needs some "general cleanup" before merging
   • #247---Feature alarm updates
     • Merged
3. 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

1. 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
2. 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
3. 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
4. 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

Other issues

1. • 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

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