Stop->4 bodies signal samples with 2 leptons in final state

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Presentation transcript:

Stop->4 bodies signal samples with 2 leptons in final state

Motivation In CMS PAS SUS-14-021 a soft single lepton and dilepton analysis is described ATLAS monojet CMS soft single lepton and dilepton

CMS soft single lepton search dilepton search CMS reachs better exclusion wrt ATLAS combined monojet and c-tagged analysis

Trigger and Preselection: CMS (8 TeV) 4-body decays: mstop ranging from 100-400 GeV, Dmstop-neutralino ranging from 10-80 GeV. Trigger and Preselection: Trigger-> Etmiss > 120 GeV or Etmiss > 95 GeV and a central jet with pT > 80 GeV ISR jet with pT > 110 GeV and |η| < 2.4 At most another jet with pT > 60 GeV Etmiss > 200 GeV At least one identified muon with pT > 5 GeV and |η| < 2.1 Selection in dilepton channel: ISR jet with pT > 150, Etmiss > 200 GeV b-tagged jets are vetoed (to remove ttbar) Etmiss/HT > 2/3 (to remove multi-jets, HT is the scalar sum of pT of all jets) exactly two identified leptons of opposite sign, with at least one of them a muon pT of the leading lepton: 5–15 GeV, and 15–25 GeV. The second lepton is required to have pT < 15 GeV Assuming lepton parallel to tau, pT of the tau pair is equal to ISR jet, and mtt < 160 GeV is rejected dilepton pairs < 5 GeV are rejected Main background in dilepton channel: ttbar (dominant), WW, WZ, tt pairs with leptonic decays, fakes

CMS expected signals and backgrounds

Signals Started to look at MadGraph5+Pythia8 stop-> 4-body sample production. Core jobOptions and SLHA template is ready for the MadGraph5+Pythia8 samples Produced a 4-body signal point (m_stop,m_neutralino) = (300,220), 99000 events Met100 filter applied: INFO Filter Efficiency = 0.318 [99000 / 311234] [met60 filter  filter efficiency = 0.626 (measured on 10000 ev.)], 2Lep > 3 GeV filter gives instead Efficiency = 0.229 (measured on 10000 ev.) JO: MC15JobOptions/common/MadGraph/MadGraphControl_SimplifiedModel_TT_bffN.py

m or e coming directly from stop decays or from stop decays in t. Ev m or e coming directly from stop decays or from stop decays in t. Ev. with at least 1 lepton Met100 filter (TRUTH) 2Lep3 filter (TRUTH) <Etmiss>= 180 GeV <Etmiss>= 100 GeV <Lepton pt> = 23 GeV <Lepton pt> = 24 GeV

Met100 filter (TRUTH) 2Lep3 filter (TRUTH) <Ptjets> = 70 GeV <Ptjets> = 26 GeV <Ptjets (Etmiss > 200)> = 100 GeV <Ptjets (Etmiss > 200)> = 51 GeV

10000 ev. MET100 filter, cuts applied on TRUTH 2 OS leptons 763 ev. “CMS-like” cuts Etmiss > 150 402 ev. Etmiss > 200 222 ev. && ptJ1 > 110 358 ev. && ptJ1 > 150 196 ev. && ptl1,l2 > 7 220 ev. 126 ev.

10000 ev. 2Lep > 3 GeV filter, cuts applied on TRUTH 2 OS leptons 2577 ev. “CMS-like” cuts Etmiss > 150 470 ev. Etmiss > 200 290 ev. && ptJ1 > 110 422 ev. && ptJ1 > 150 259 ev. && ptl1,l2 > 7 286 ev. 173 ev.

We dealt with soft leptons in http://cds.cern.ch/record/2032460 for the MVA stop->b+chargino analysis@ 8 TeV (Two “baseline” leptons, 𝑝𝑇 >7GeV for electrons and 𝑝𝑇 >6 GeV for muons ) In that case, 11 variables were used in MVA, and the best ranked are: CMS uses Etmiss/HT, i.e. met/SipTJi

TRUTH (normalized): signal vs ttbar (Met100 filter), 2 OS Lep > 10 GeV(*) met/SipTli met/SipTJi EtMiss>150GeV && pt_jet1>110GeV EtMiss>150GeV && pt_jet1>110GeV Sign ttbar Sign ttbar SipTJi/SipTli met/meff EtMiss>150GeV && pt_jet1>110GeV EtMiss>150GeV && pt_jet1>110GeV Sign ttbar Sign ttbar (*) ttbar sample was 2-lepton filtered at 10 GeV

TRUTH: signal vs ttbar (2Lep3 filter), 2 OS Lep > 10 GeV (*) met/SipTli met/SipTJi EtMiss>200GeV && pt_jet1>110GeV Sign ttbar EtMiss>150GeV && pt_jet1>110GeV Sign ttbar SipTJi/SipTli met/meff EtMiss>200GeV && pt_jet1>110GeV EtMiss>150GeV && pt_jet1>110GeV Sign ttbar Sign ttbar (*) ttbar sample was 2-lepton filtered at 10 GeV

Possible grid Benchmark points (400,390) (400,350) (350,340) (400,320) (320,310) (350,300) (300,290) (320,270) (350,270) (280,250) (300,250) (260,230) (320,240) (300,220)

Statistics Stop mass (GeV) Neutralino mass Cross section (pb) Filter efficiency # of events Int. Lumi (fb-1) 260 230 17.7 0.3 *excluded by CMS (???) 280 250 12.2 300 220 8.5 100000 39.2 290 320 240 6.1 75000 41.0 270 310 350 3.8 50000 43.9 340 400 1.8 25000 45.5 390 Total events: 575K + ???