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SUSY Studies with ATLAS Experiment 2006 Texas Section of the APS Joint Fall Meeting October 5-7, 2006 Arlington, Texas Nurcan Ozturk University of Texas.

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Presentation on theme: "SUSY Studies with ATLAS Experiment 2006 Texas Section of the APS Joint Fall Meeting October 5-7, 2006 Arlington, Texas Nurcan Ozturk University of Texas."— Presentation transcript:

1 SUSY Studies with ATLAS Experiment 2006 Texas Section of the APS Joint Fall Meeting October 5-7, 2006 Arlington, Texas Nurcan Ozturk University of Texas at Arlington ATLAS Collaboration

2 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 2 Outline Introduction Why Supersymmetry SUSY Particle Spectrum SUSY Signatures at the LHC Data Challenge Activities Results from Full Simulation Conclusions

3 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 3 Introduction Large Hadron Collider (LHC) is a 14 TeV proton-proton collider at CERN in Switzerland. LHC will start taking data in 2007. Luminosity goals: 10 fb -1 /year (first 3 years) 100 fb -1 /year (subsequently) Five experiments will operate: ALICE, ATLAS, CMS, LHC-B, TOTEM. Supersymmetry will be explored primarily in ATLAS and CMS experiments. A Toroidal LHC ApparatuS ATLAS Detector Five-story-high 7000 tons

4 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 4 Why Supersymmetry? Supersymmetry (SUSY) is one of the most attractive extensions of the Standard Model (SM) that pairs fermions and bosons. Hierarchy Problem: SUSY stabilizes Higgs mass against loop corrections (gauge hierarchy/fine-tuning problem)  leads to Higgs mass ≤ 135 GeV. Good agreement with LEP constraints from EW global fits. Grand Unification: SUSY modifies running of SM gauge couplings ‘just enough’ to give Grand Unification at single scale. Dark Matter: R-Parity (R = (-1) 3B+2S+L ) conservation causes the lightest supersymmetric particle (LSP) to be stable  provides a solution to dark matter problem of astrophysics and cosmology.

5 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 5 SUSY Particle Spectrum SUSY partners have opposite spin-statistics but otherwise same quantum numbers

6 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 6 SUSY Signatures at the LHC Heavy strongly interacting sparticles (gluinos and squarks) produced in initial interaction Long decay chains and large mass differences between SUSY states; many high P T objects are observed (lepton, jets, b-jets) If R-Parity is conserved cascade decays to stable undetected LSP (lightest SUSY particle; neutralino in mSUGRA); large E T miss signatures If the model is GMSB, LSP is gravitino. Additional signatures from NLSP (next-to-lightest SUSY particle) decays; for example photons from and leptons from If R-parity is not conserved LSP decays to 3-leptons, 2leptons+1jet, 3 jets; E T miss signature is lost l q q l g ~ q ~ l ~  ~  ~ p p A typical decay chain of supersymmetric particles in a proton-proton collision:

7 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 7 mSUGRA Framework The minimal SUSY extension of the SM (MSSM) brings 105 additional free parameters  preventing a systematic study of the full parameter space. Assume a specific well-motivated model framework in which generic signatures can be studied. mSUGRA framework: Assume SUSY is broken by gravitational interactions  unified masses and couplings at GUT scale  gives five free parameters: m 0, m 1/2, A 0, tan(β), sgn(µ) Reach sensitivity only weakly dependent on A 0, tan(β), sgn(µ). R-parity assumed to be conserved. Multiple signatures on most of parameter space: E T miss (dominant signature), E T miss with lepton veto, one lepton, two leptons same sign (SS), two leptons opposite sign (OS) Choose benchmark points in mSUGRA plane to study SUSY exclusively 5  exclusion contours

8 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 8 Data Challenge Activities (1) Goal:  Provide simulated data to optimize the detector  Validate Computing Model, the software, the data model, and to ensure the correctness of the technical choices to be made Analyzing SUSY events is important to test the reconstruction software since typical SUSY events contain the complete set of physics objects that can be reconstructed in the detector SUSY in ATLAS Data Challenges:  DC1: July 2002 – March 2003 Bulk region point, similar to LHCC Point 5  DC2: June 2004 – December 2004 DC1 bulk region point (validation of Geant4 and new reconstruction) Coannihilation point

9 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 9 Data Challenge Activities (2) Data Challenge for Rome ATLAS Physics Workshop: January- June 2005  SU1 sample: Coannihilation point m 0 =70 GeV, m 1/2 = 350 GeV, A 0 = 0 GeV, tanβ = 10, sgn(µ) = +  SU2 sample: Focus point m 0 = 3350 GeV, m 1/2 = 300 GeV, A 0 = 0 GeV, tanβ = 10, sgn(µ) = +  SU3 sample: DC1 bulk region point m 0 =100 GeV, m 1/2 = 300 GeV, A 0 = -300 GeV, tanβ = 6, sgn(µ) = +  SU4 sample: Low mass point m 0 = 200 GeV, m 1/2 = 160 GeV, A 0 = -400 GeV, tanβ = 10, sgn(µ) = +  SU5 sample: Scan of parameter space SU5.1: m 0 = 130 GeV, m 1/2 = 600 GeV, A 0 = 0 GeV, tanβ = 10, sgn(µ) = + SU5.2: m 0 = 250 GeV, m 1/2 = 600 GeV, A 0 = 0 GeV, tanβ = 10, sgn(µ) = + SU5.3: m 0 = 500 GeV, m 1/2 = 600 GeV, A 0 = -400 GeV, tanβ = 10, sgn(µ) = +  SU6 sample: Funnel region point m 0 = 320 GeV, m 1/2 = 375 GeV, A 0 = 0 GeV, tanβ = 50, sgn(µ)

10 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 10 Data Challenge Activities (4) Data Challenge for Computing System Commissioning (CSC): December 2005-ongoing K.De, Software workshop, Sept. 2006

11 Some Results from Full Simulation

12 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 12 Missing E T Distributions – Rome Data (1) Reconstructed Monte Carlo after selection cuts normalized to 5 fb^-1 Top W+jets Z+jets SU1 SU3 SU4 SU6 SU2 As expected, missing E T provides powerful handle against SM backgrounds

13 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 13 Z+jets Top SU1 SU2 SU3 SU4 SU6 Selection cuts applied to enhance SUSY signal: 4 jets with P T > 50 GeV 2 jets with P T > 100 GeV E T miss > 100 GeV Missing E T Distributions – Rome Data (2) after selection cuts normalized to 5 fb^-1

14 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 14 Dilepton Invariant Mass – Rome Data (1) Z+jets W+jets SU3 SU1 Excellent discovery channel! Top SU6 SU4 before selection cuts normalized to 5 fb^-1 SU2 e + e - + µ + µ - - e +- µ -+

15 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 15 Dilepton Invariant Mass – Rome Data (2) Z+jet W+jets SU3 SU1Top SU6 SU4 after selection cuts normalized to 5 fb^-1 But need lots of data! SU2

16 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 16 Conclusions The LHC will be the place to search for SUSY If TeV scale SUSY exists, ATLAS should find it Big challenge for discovery will be understanding the performance of the detector SUSY discovery is possible in other models which I have not covered here, however some of UTA group members have been involved:  Gauge Mediated Supersymmetry Breaking (GMSB)  Anomaly Mediated Supersymmetry Breaking (AMSB)  R-Parity Violation Currently a great effort is being taken in Data Challenges to understand different SUSY models, and to test the reconstruction software Exciting times ahead of us with the LHC turn on!

17 Backup Slides

18 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 18 Statistics – Rome Data Samplesigma x BR (pb)Number of AOD filesIntegrated Luminosity (pb -1 ) Top5776793577 W+4jets2400369376 Z+jet : ZJ1ee ZJ1mumu ZJ1nunu 4730, eff = 0.1003 4730, eff = 0.1058 6140, eff = 0.115 1775 1785 1976 184 175 137 SU16.8366826600 SU24.9115611555 SU319.317284377 SU42801070187 SU64.5130814293 Top sample’s cross section is calculated by using what is given in the wiki page: 10K events corresponds to an integrated luminosity of 17.34 pb -1 Each AOD file has 49 events Each sample is normalized to 5000 pb -1 in all plots

19 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 19 Event Selection Two different sets of cuts applied  ‘before selection cuts’, which includes some default cuts  ‘after selection cuts’ – additional cuts to enhance SUSY signal Default cuts:  Pseudorapidity cuts: ElectronEtaCut: 2.5, MuonEtaCut: 2.5, JetEtaCut: 5.0, TauEtaCut: 2.5, PhotonEtaCut: 2.5  Transverse momentum cuts: ElectronPtCut: 10 GeV, MuonPtCut: 10 GeV, JetPtCut: 10 GeV, TauPtCut: 10 GeV, PhotonPtCut: 10 GeV  TauLikelihoodCut: 4  Isolation cuts: 5 GeV for electrons and muons. For muons chi2<20 Selection cuts:  4 jets with P T > 50 GeV  2 jets with P T > 100 GeV  E T miss > 100 GeV Cone 4 jets (R=0.4) are used

20 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 20 mSUGRA Points for Rome Data (1)  DC1 bulk region point (new underlying event in generation) m 0 =100 GeV, m 1/2 = 300 GeV, A 0 = -300 GeV, tanβ = 6, sgn(µ) = + LSP is mostly bino, light l R enhance annihilation. ‘Bread and butter’ region for the LHC experiments llq distributions, tau-tau measurements, third generation squarks (both tau identification and B tagging improved)  Coannihilation point m 0 =70 GeV, m 1/2 = 350 GeV, A 0 = 0 GeV, tanβ = 10, sgn(µ) = + LSP is pure bino. LSP/sparticle coannihilation.Small slepton-LSP mass difference gives soft leptons in the final state  Focus point m 0 = 3350 GeV, m 1/2 = 300 GeV, A 0 = 0 GeV, tanβ = 10, sgn(µ) = + LSP is Higgsino, near µ 2 =0 bound. Heavy sfermions; all squarks and sleptons have mass >2 TeV, negligible FCNC, CP, g µ -2, etc. Complex events with lots of heavy flavor ~

21 TSAPS 2006 - Arlington Nurcan Ozturk - UTA 21 mSUGRA Points for Rome Data (2)  Funnel region point m 0 = 320 GeV, m 1/2 = 375 GeV, A 0 = 0 GeV, tanβ = 50, sgn(µ) = + Wide H, A for tanβ >> 1 enhance annihilation. Heavy Higgs resonance (funnel); main annihilation chain into bb pairs Dominant tau decays  Low mass point at limit of Tevatron RunII reach m 0 = 200 GeV, m 1/2 = 160 GeV, A 0 = -400 GeV, tanβ = 10, sgn(µ) = + Big cross section, but events rather similar to top Measure SM processes in presence of SUSY background to show detector is understood  Scan of parameter space (11 different model points) mSUGRA points near search limit of 10 fb -1 Understand limitation of fast simulation analyses; detector backgrounds, pileup, reconstruction errors, etc


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