BMOD 1Sept2021

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BMOD_25Aug2021 << >> BMOD_8Sept2021

Logistic information

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Agenda

Sept 1

Next steps and priorities:

To finalize the beam corrections results:

  • Make tables of the position differences and evMon diffs (separate the 3 parts)
  • Augment all tables and plots, separating the 6 IHWP x Wien states out
  • Consider the target position and angle and E BPM definitions (if possible)
  • Make a Lagr mul plot (all multiplets in 1 histogram)
  • Archive plots, tables, and results of slug, pitt, etc. plots in a useful format, documented, publicly (haplog/ifarm tape/docdb)
  • Do NULL Pitt plots as well
  • Treat Main det double difference alongside A_PV, corrections, multipletwise differences, etc.
  • Make a multipletwise difference distribution RMS plot (minirunwise, slug, etc.) in addition to the mean disagreement numbers


To determine whether to include BMOD in the final dataset do:

  • Produce aggregator data for Lagr-12BPM dataset with Include and Only BMOD cuts
  • Look at the corrected asym RMS, separately with OnlyBMOD and ErrorFlag cuts
  • Check if the IncludeBMOD corrected asym mean and correction per monitor means jump around outside of statistical fluctuations, compared to ErrorFlag cut dataset
  • Check the multipletwise difference between analysis methods means and RMSs, if OnlyBMOD is substantially worse than ErrorFlag cut dataset

Document, commit, etc. all necessary scripts, and make sure data is saved in safe places

August 25

Respin 2 beam corrections results - slides

August 18

Summary Respin2 webpage

Plan:

  • Data quality check: Minirun and Slug-wise check outliers (us_avg, usl, usr together) of
    • Check 5bpm dit vs. 12bpm Lagr (page 1) and 12bpm reg vs. 5bpm dit (page 9) - Check comparisons of USL vs. USR and pull plots...
    • Method-differences plots
    • Corrections per monitor
    • Method slopes differences (should be benign anyway) (page 17 lagr vs. reg, etc.) - scan
    • Split CREX into the 3 parts -> look for outliers from means that are ~2 sigma pull (scan the tree in part-averaging script, and plot the data in minirun-wise plot) and evaluate potential nefarious causes in the run-wise raw data (usl, usr, us_avg)
      • Lagr vs. reg slope comparison (allbpm eigenvector analysis)
      • Comparing correction per monitor also between Lagr vs. reg (prior times diff_evMon_mean)
      • Corrected asyms differences also between Lagr vs. reg
  • Pitt and slow control averaging plots (signed and unsigned)
  • Evaluate including BMOD in the final-polish/verified data-set (do slug avg, compare means and RMSs of corrected asyms between dataset)

July 21

Looking at results from respin 2 data:

  • dit - reg - lagr differences
  • impact of including error bars on lagrange sensitivities
  • slope plots
  • slope differences per monitor from different techniques (dit vs reg)
  • accumulated residuals (or, residual spread per slug RMS and averages)
  • net beam corrections (3 parts and slugwise)

Tasks for next week:

  • Try to zoom in on the parts where plain and eigen dit corrected asyms disagree
    • Double check the root files and slopes, etc. that there is nothing wrong in the analysis chain
    • The two methods should get identical corrected asyms
    • Verify no 1 arm running shenanigans or mislabeled data slipped in (and that run_avg == eigen_dit_run_avg_part_avgd)
  • Look at where slopes disagree between dit - reg
    • Verify the corrections and/or monitorwise diff RMSs are small (so that if the slopes disagree it has negligible effect on the corrections being made)
    • Make slug_avg plots of the slope disagreements (including RMSs)
    • Make slug_avg plots of the corrections per monitor too
  • Do a 12BPM Eigen Reg and Eigen Lagr comparison
    • See if the slopes agree better than the 5BPM case (where evMons 3 and 4 disagreed substantially between reg and dit)
  • Provide easy to parse tables of the 5 evMon's corrections per 3 CREX parts (and make the error calculation math clear as well)
  • Improve dit-reg-lagr plots
    • Add pull plots
    • Do slug averaging of these (including RMSs)
  • Multipletwise and runwise diff plots being == is suspicious
    • Double check the plotting script isn't doing anything funny
    • Double check the source aggregator root file and input device list are correct
    • Double check the math by plotting the distributions by hand for some example runs

July 14

  • Respin 2 outputs
  • Updated eigenvector definitions
  • Dit + reg + lagrange using eigenvectors
  • Residual sensitivities, done correctly this time

May 19

  • Respin 2: Look at dit vs. reg differences - HAPLOG
    • Look at respin2 dit-reg diff outputs
    • Checked by eye the 4+ sigma outlier miniruns
  • Respin 1: 3 CREX parts’ monitorwise net corrections (and uncertainties?) - HAPLOG
  • Respin 1: Residual dithering sensitivities - HAPLOG
    • Looking at plain BPMs, run_avg sensitivities
    • Looking at eigenvector monitors, run_avg sensitivities
    • Looking at plain BPMs, cyclewise sensitivities
    • Fractional residuals (needs more work in respin2 outputs to clean up outliers) - HAPLOG
  • Timescale dependent RMSs in asym->histogram filling - not discussed - HAPLOG

Attendence