2023:groups:smhiggs:higgs-cell-resample:start
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2023:groups:smhiggs:higgs-cell-resample:start [2023/06/16 09:17] stephen.jones created |
2023:groups:smhiggs:higgs-cell-resample:start [2023/06/18 16:23] (current) stephen.jones |
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| - | ===== Negative Weight Mitigation for Higgs Signal/Background ===== | + | ===== Negative Weight Mitigation (also for Higgs Signal/Background?) ===== |
| + | **Code**: [[https://github.com/a-maier/cres|cres]] | ||
| + | |||
| + | == Specific Topics == | ||
| + | * Apply cell resampling ([[https://arxiv.org/abs/2109.07851|paper 1]] [[https://arxiv.org/abs/2303.15246|paper 2]] [[https://github.com/a-maier/cres|source]] [[https://cres.hepforge.org/|binaries]]) to Higgs signal/background (closure tests, measure of simplification e.g. #event reduction) | ||
| + | * Graph of fraction of negative weights for Higgs processes/background (slide 5/9 [[https://phystev.cnrs.fr/wiki/_media/2023:cell_resampling.pdf|Jeppe talk]]) | ||
| + | |||
| + | == Processes == | ||
| + | * di-photon NLO sample (m_gamgam centred around Higgs mass window) | ||
| + | |||
| + | == General Topics == | ||
| + | * Discussion on good metrics (what to compare before considering events close) | ||
| + | * Measure the impact on reals vs virtuals, which events are most likely to be altered and by how much? | ||
| + | * Try it on proper experimental samples (what metric is good, what issues arise?) | ||
| + | * Applying this to NNLO (e.g. HighTea samples) | ||
| + | * Try e.g. jpsi->leptons something very narrow (technical issues regarding IR sensitivity, modifying distributions...) | ||
| + | * Plots of mean/median/width of the cell resampling bins, studying these distributions and their potential impact | ||
| + | * Can narrow weight distribution for more efficient event unweighting | ||
| + | |||
| + | == Talk Discussion (winner: most questions per talk) == | ||
| + | * Q: why is w+5 improving more than z+3? | ||
| + | - initial event sample size? (no, both have 1e9) | ||
| + | - dipole cut vs improvement? (check dipole cut used) | ||
| + | * Q: calculating density of events to "pre-check" that this algorithm may work? | ||
| + | * Q: metric needs to be compatible with how ps generator is populating ps, proof that this is not biasing anything? | ||
| + | * Q: should there be a bias towards positive values (since you iteratively add nearest event until wi>=0)? | ||
| + | - ps generator dependent because this alters which events are clustered, can this have an impact on the physics? | ||
| + | * Q: plotting statistical uncertainties on the original sample | ||
| + | - more easily allows verifying that differences are within statistical uncertainty | ||
| + | * Q: on which type of event does this have the biggest impact? | ||
| + | - imagine reals are more impacted than virtual | ||
| + | - we were completely agnostic | ||
| + | * Q: can we really prove that this does not alter distributions? (prove that you preserve distributional structure of the observables you compute) | ||
| + | - we do not alter any of the event kinematics | ||
| + | - there is no cross talk of events separated by more than the maximum allowed distance | ||
| + | - IRC safe measure important, but this is not a sufficient condition, can you reproduce infrared sensitive observables (e.g. Sudakov shoulder, 0-bin of ptZ), can your smearing reproduce this feature in the limit that the smearing goes to 0? | ||
| + | * Q: mean/median/width of the cell resampling bins | ||
| + | - we have plots that we can examine | ||
2023/groups/smhiggs/higgs-cell-resample/start.1686899871.txt.gz · Last modified: 2023/06/16 09:17 by stephen.jones
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