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Implementation and Validation of MET Performance in Particle Physics Analysis

This document outlines the steps for finalizing the implementation of goodness variables for MET performance in ESD and AOD production. It highlights the need for support from the jet and missing ET group and discusses the technical aspects of singleton vs multiple instances. Validation procedures, including the use of slimmed ntuples for assessing goodness and MET, are detailed. A structured plan for regular evaluation of efficiency metrics and truth-level validation is proposed, along with the importance of documenting the available ntuples for collaborative accessibility.

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Implementation and Validation of MET Performance in Particle Physics Analysis

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  1. Goodness work • Open points are: • Finalize implementation (still some variables missing) • Make it run in ESD->AOD official prod and store bit mask on the AOD (Need support of jet/etmiss group here) • Technical point: singleton versus many instances • Validation: • Slimmed ntuples for goodness validation (only goodness, MET, jet variables): • user10.MarijaMilosavljevic.mc09_7TeV.105001.pythia_minbias.recon.ESD.e517_s745_s746_r1098_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105003.pythia_sdiff.recon.ESD.e514_s745_s746_r1098_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105004.pythia_ddiff.recon.ESD.e514_s745_s746_r1098_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105009.J0_pythia_jetjet.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105010.J1_pythia_jetjet.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105011.J2_pythia_jetjet.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105012.J3_pythia_jetjet.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105013.J4_pythia_jetjet.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105014.J5_pythia_jetjet.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105200.T1_McAtNlo_Jimmy.recon.ESD.e510_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.105861.TTbar_PowHeg_Pythia.recon.ESD.e505_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.106043.PythiaWenu_no_filter.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.106044.PythiaWmunu_no_filter.recon.ESD.e468_s624_s633_r1085_METperfD3PDslimmed • user10.MarijaMilosavljevic.mc09_7TeV.106400.SU4_jimmy_susy.recon.AOD.e496_s624_s633_r1085_METperfD3PDslimmed • I think it would be good to produce validation numbers (efficiencies of goodness cuts, MET resolutions) regularly based on these ntuples • This would be a truth level validation, as we wouldn’t apply specific analysis cuts (good to keep track of changes and quantify truth level performance) • We should document available ntuples on a twiki, including their content • I would create the twiki, Marija can you then fill it? • Separation of goodness from MET performance • Implementation done • Still need to sell it to Donatella/Silvia (I guess) David Berge

  2. Further MET validation • Work on tails • beam background, cosmics (see my talk today at http://indico.cern.ch/conferenceDisplay.py?confId=82424) • Jet reconstruction, dijet events • We should start preparing this • Compile more realistic selection cuts (include more cuts) • Learn how to recompute MET excluding individual jets? David Berge

  3. W analysis work • Common ntuples between CAT W and SUSY group • What’s missing that we think we need? • In parallel we keep pushing for MET and goodness vars to be added to benchmark ntuples, physics D3PDs, egamma D3PDs (muon CP uses CBNT  ) • Whenever ntuples are produced, one starting point is to quantify the efficiency of MET cleaning cuts after W analysis cuts • How can we optimise the background suppression with further MET related cuts? • What would the next steps be, what is the first thing needed for the analysis (in terms of MET)? David Berge

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