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Goodness work

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:

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Goodness work

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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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