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pastika edited this page Feb 26, 2016 · 30 revisions

#Welcome to the ZInvisible wiki!

Arc Comments

  • b-tag scale factors + uncertainty
  • top-pt reweighting + uncertainty
  • add nb >= 2 and nt >=1 loose Data/MC plots

To do for Friday Jan 29

  • Make table of prediction with uncertainties, follow existing format
  • Make summary table of systematics
  • Add scale syst plot
  • Add lines on search bin plots
  • investigate met systematic weirdness
  • Do tight <-> loose systematic
  • Decide how to describe MT2>0 for the shape systematics
  • Propagate trigger efficiency to prediction (plot exists)
  • Update MC stats for gamma statistics
  • Finish documentation

##To Do For Dec 17

  • Make slides
  • njet weights: data/mc in mumu, emu (g1b) and resulting DY/Z weight in nice plot
  • nsearchbin plot with final prediction + any systematics we have
  • normalization weight in tight region
  • MC closure in backup
  • shape variations: HT etc
  • 0b tight control region, data vs mc, nsearchbin
  1. Method
  2. Njet weight systematic
  3. Nb=0 normalization
  4. shape unc from loose region
  5. Final prediction
  • Make signal region BG estimate for comparison plots for Zhenbin (https://gist.github.com/zhenbinwu/ce4e9034971dac4236f1)
  • Loose HT plots (200, 300, 400, 500 GeV HT cuts)
  • Systematics
  • Tight N(b) = 0 nSearchBin plot for data and MC
  • Apply normalization weight to DY (make new histo file, and run makeplots)
  • After Njet weighting get Data/MC shape factors for
    • MET: rebin according to signal region bin edges (can be done in fitter)
    • MT2
    • Njet
    • Nb
    • Nt
    • Jet Pt
    • Muon Pt
    • Ht
  • NJet weight uncertainties
  • N(b) normalization scale uncertainties

##To Do Thanksgiving

  • check data vs MC
  • Check MC closure in relaxed cut region
  • Implement cutflow functionality
  • Create plots of Inclusive DY MC
  • Implement lhe HT
  • Implement minituples for systematics
  • Implement code to analyse minituples and create systematic outputs

##To Do List

plots we want to see

  • real b fraction (gen b) of each sample
  • harder than it sounds, insufficient gen info in NTuples
  • CSV values of faked jets
  • Kinematic properties/n-jet in low vs. high CSV range
  • Kinematic n-jet in 0,1,2,3 b bins

Ntuple production

  • Run over singlemuon data
  • Run over TTZ MC

Code work

  • Table dump for cutflows
  • Update samples.cc with latest sample information
  • Make Hongxuan stop using samples2.h
  • Top tagger b-faking improvements - full combinatorics (do later)
  • Implement lepton efficiencies
  • Implement b-tag scale factors
  • Implement trigger efficiencies
  • Write small fitter for the shape systematics
  • Improve structuring of makePlots
  • Add Plotter functionality to use variable bin widths

Analysis

  • Check photon cleaning around muons
  • Is this really the muon cleaning bug?
  • check closure, particularly in high Zpt/MET and N(b) = 0 -> N(b) > 0
  • data/MC comparison
  • raw kinematic quantities (ttbar and DY)
  • compare DY->mumu MC to data samples
  • ttbar selection using emu selection
  • leading/sub-leading jet pt/dR issues
  • recalculate acceptance, and efficiency corrections with Spring15 samples
  • recalculate gen z-smearing + do it for electrons
  • Check closure of b-faking method in loose region, in particular data
  • Decide how to deal with double counting of uncertainties between normalization unc and bin-by-bin data stat unc.
  • Fix MC closure for electrons
  • Do systematics for loose <-> tight
  • Normalize scale and pdf uncertainty inputs in the 0b region

Documentation

  • do it!!!
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