Susy analysis with SUSYView & PyRoot

1. Susy analysis with SUSYView & PyRoot Jamie Boyd, Amir Farbin, Till Eifert

2. SUSYView (v7) datasets at CERN • T1 • ToplnlnNp0 • ToplnlnNp1 • ToplnlnNp2 • tokyoWjetNp0 • tokyoWjetNp1 • tokyoWjetNp2 • tokyoWjetNp3 • tokyoWjetNp4 • tokyoWjetNp5 • tokyoZeeNp3 • tokyoZeeNp4 • tokyoZeeNp5 • tokyoZmmNp3 • tokyoZmmNp4 • tokyoZmmNp5 • tokyoZnunuNp0 • tokyoZnunuNp1 • tokyoZnunuNp2 • tokyoZnunuNp3 • tokyoZnunuNp4 • tokyoZnunuNp5 • J4 • J5 • J6 • J7 • J8 • SU1 • SU2 • SU3 • SU8_1 • SU8_2 • SU8_3 • WenuNp2 • WenuNp3 • WenuNp4 • WenuNp5 • WmunuNp3 • WmunuNp4 • WmunuNp5 • WtaunuNp2 • WtaunuNp3 • WtaunuNp4 • WtaunuNp5 • ZnunuNp3 • ZnunuNp4 • ZnunuNp5

3. Analysis in PyRoot • Python classes • Sample • CombinedSample (for instance all Ws) • SampleHandler (to load easily ntuples) • TTreeAlgorithm, TTreeLooper, … • ResultHandler • pickleResults

4. Analysis in PyRoot II • Typically, I do • Running the analysis • Load all root samples into python • Define my analysis consisting of algorithms • Cuts, Histos, writing to new ntuple • Run my analysis over all samples • “Pickle” the transient results to root-files • Looking at the results • “Pickle” root-files to transient objects • Look at cut efficiencies • Combine DataSets via CombinedSample • Compare histos of different Samples …

5. Simple susy analysis • Algos • Cut: NJet > 3 • Cut MET > 100 GeV • Jets p_T > 100, 100, 50, 50 GeV • Make some Histos (Meff, MET, p_T, …) • Not used here, but already tested • transMass cut • Sphericity cut • Algo that writes the new ntuples (having all active branches + new variables)

6. Nice plots (norm. to 1 fm-1)

7. Cut efficiencies Sample: SU3Reco • Cut: 4JetsCut -> Eff: 0.69 err: 0.001 • Cut: METCut -> Eff: 0.88 err: 0.0009 • Cut: JetCutAlgo -> Eff: 0.47 err: 0.001 Final Cut Effc: 0.29 err: 0.001 exp. evts. (after cuts): 5654.1 err: 5.9 Note: no MT cut was used!

8. Short term items – 1 week • Compare plots & efficiencies to other people’s susy analysis (also making use of the Tokyo datasets) using the same cuts • In particular look at eff for different lepton, MT, sphericity cuts for signal/background • Look at supposedly better MET cut -> MET significance • Compare SUSY groups vs Tokyo backgrounds

9. Other items • Run analysis over grid of signal, look at e.g. average NJet in 2D hist • Implement Calculation of Significance • Implement use of TMVA • Run grid production with 12.0.?; run SUSYView with 12.0.? once dataSets arrive • Compare in 12.0.? AtlFast vs FullReco