Light higgs decay in SUSY cascade - Status report Filip Moortgat (CERN) Alain Romeyer (Mons - Belgium) Introduction Trigger efficiency B tagging Jet calibration Invariant mass reconstruction Likelihood fit Conclusion Alain Romeyer - January 2005 1 Introduction MSUGRA 5 parameters : m0, m1/2, A, tan b, sign(µ) S. Abdullin – L. Pape Update II of the new MSUGRA test points proposal Benchmark point LM5 Tan b = 10 AO = 0 µ>0 m g ~ 860 GeV M1/2 = 360 GeV M0 = 230 GeV m ~ 800 GeV q m χ 0 ~ 273 GeV m χ 0 ~ 142 GeV m H0 ~ 570 GeV m h 0 ~ 116 GeV 2 χ 10 Signature : q/g χ 02 1 LSP MET b h0 Alain Romeyer - January 2005 B tagging b 2 Simulated events FULL SIMULATION CHAIN generator Isajet 7.69 + Pythia 6220 + CMKIN OSCAR 2_4_6 digitisation ORCA 7_6_1 Signal events : all SUSY channel (easier for later event reweighting) simulation Production of signal events and pile-up ~20% contains our decay chain Digitisation : merge pile-up and signal official 100 000 evts production at CERN available our reconstruction strategy launched on digis First results Alain Romeyer - January 2005 3 « Reconstruction » strategy Simulated events ORCA_8_6_1 Reconstruction I – L1 +HLT Efficiency ? Analysis • event selection • IV - b ̅b inv mass reco. II - Jet Reconstruction : • Iterative Cone Algo. • cone size : 0.5 • tower Et thr. : 0.5 GeV • seed Et thr. : 1 GeV Jet sel. Pt > 10 GeV III - B tagging : • By Track Counting • Number of tracks above minimum significance : 2 MET : • MET from EcalHcalTower Alain Romeyer - January 2005 4 Trigger efficiency Generated HLT 100 000 96 462 (19 338) L1 : 99.9 % - HLT : 96 % Trigger Condition (GeV) % of evts 1 jet Et > 571 23.5 3 jets Et > 209 21.7 4 jets Et > 122 32.7 B jet 1 Jet Et > 237 77.4 MET calo 1 jet > 180 GeV + MET > 123 79.5 MET jets 1 jet > 180 GeV + MET > 123 79.8 ~ all events !!! Caveat : ~ same efficiency for SUSY bkg. Alain Romeyer - January 2005 5 Btagging Track Counting Algo. (default setting) Number of jets Number of tagged jets Efficiency / Inefficicenc y (%) b 95593 47310 49.5 u 123 807 9408 7.6 d 97409 7957 8.2 c 50728 9103 17.9 Global efficiency : 49.5 % Global inefficiency : 9.4 % Need to be optimised Filip Nhiggs = Nhiggs after HLT * ( Btag Eff. )² ~ 4700 evts Alain Romeyer - January 2005 6 Efficiency / inefficiency Alain Romeyer - January 2005 7 Efficiency / inefficiency… Alain Romeyer - January 2005 8 Select b jets from 0 h Select only b jets coming from h0 decay No jet energy calibration (from parton content in a 0.3 cone) Alain Romeyer - January 2005 9 Jet reconstruction accuracy Alain Romeyer - January 2005 10 Jet calibration Jet calibration method following CMS-note 1999/066 Association between rec. Jets and generated partons before hadro. (cone < 0.3) 2 types of jets : b jets and other Etruejet = sum(Equarks,gluons) Correction Factor C = Etruejets / Erecjets Fit of the correction factor surface in the E vs || plane : f(|η|) C η, E = a1+ a 2 E f(|η|) = b1 + b 2 |η|+ b3 |η| + b 4 |η| 2 Alain Romeyer - January 2005 3 11 E correction for b jets Alain Romeyer - January 2005 12 E correction for non b jets Same operation isAlain done with the Romeyer - January 2005 jet momentum 13 Impact on Minv Select only b jets coming from h0 decay Calibrated jets Alain Romeyer - January 2005 14 Impact on jet reco. accuracy Alain Romeyer - January 2005 15 Invariant mass (no cuts) Alain Romeyer - January 2005 16 Likelihood fit Follow the Z’ µµ strategy (CMS AN 2004/018) Unbinned method NS NS P(mh )= Ps (m h ,σ) + [1 ] Pbg (m h ) N tot. N tot. Fraction of signal Normalised Gaussian Extract from background fit No constraints on the absolute background level only on the background shape NS 3 parameters : mh, s and N tot. Alain Romeyer - January 2005 17 Fit result (full stat) S= L 14.1 2 ln S+B L B Alain Romeyer - January 2005 18 Various running time 50 000 evts – S = 10.9 100 000 evts – S = 14.1 25 000 evts – S = 7.95 15 000 evts – S = 5.8 Alain Romeyer - January 2005 19 Conclusion For the first time the full analysis chain is working higgs peak visible with significance above 5 ~15000 evts (~ 40 days of understood data) Future : Include SM background Improve S/B ratio (cuts, b tagging optimisation…) Reduce the width of the invariant mass Run the code on the Zbb sample for cross check and optimisation of the reconstruction strategy Fast simulation (FAMOS) in order to explore the SUSY parameter phase space Contour plot for the CMS reach Alain Romeyer - January 2005 20
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