towards an lhc observable nmssm grid
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Towards an LHC observable NMSSM grid Joscha Knolle in collaboration - PowerPoint PPT Presentation

Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Towards an LHC observable NMSSM grid Joscha Knolle in collaboration with Sophie Henrot-Versill, Anja Butter, Laurent Duflot & Dirk Zerwas and


  1. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Towards an LHC observable NMSSM grid Joscha Knolle in collaboration with Sophie Henrot-Versillé, Anja Butter, Laurent Duflot & Dirk Zerwas and with thanks to Ulrich Ellwanger & Tilman Plehn GDR TeraScale @ Nantes 2016, 23–25 May 1 / 9

  2. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Introduction: SUSY grids at run 1 ATLAS run 1 SUSY summary (JHEP 1510 (2015) 134) randomly choose 500 000 000 pMSSM parameter configurations compute spectrum and observables discard points incompatible with experimental constraints evaluate whether production processes are accessible at LHC generate events and evaluate whether the point is excluded by ATLAS searches (45 000 fully simulated points) = ⇒ ultimate goal: perform a full scan of the NMSSM parameter space including all of the run 2 SUSY searches = ⇒ first step: find a (small) grid in cNMSSM parameter space accessible at run 2 2 / 9

  3. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion semi-constrained Z 3 -invariant NMSSM Higgs superpotential H d + κ W H = µ � H u · � � S 3 3 Higgs sector ℜ � d , S � ℑ � d , S � H 0 u , H 0 H 0 u , H 0 → � � h 0 1 , H 0 2 , H 0 − − → ( A 1 , A 2 ) 3 Neutralino sector � ˜ S � → � � B , ˜ W , ˜ H u , ˜ H d , ˜ χ 0 χ 0 χ 0 χ 0 χ 0 − ˜ 1 , ˜ 2 , ˜ 3 , ˜ 4 , ˜ 5 free parameters λ, κ, A λ , A κ , tan β ≡ � H u � � H d � , µ eff ≡ λ � S � , M 1 / 2 , m 0 , A 0 M 1 , M 2 , M 3 , m 2 q i , m 2 u i , m 2 d i , m 2 ℓ i , m 2 e i , A t , A b , A τ ˜ ˜ ˜ ˜ ˜ 3 / 9

  4. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion semi-constrained Z 3 -invariant NMSSM Higgs superpotential H d + κ W H = λ � S � H u · � � S 3 3 Higgs sector ℜ � d , S � ℑ � d , S � H 0 u , H 0 H 0 u , H 0 → � � H 0 1 , H 0 2 , H 0 − − → ( A 1 , A 2 ) 3 Neutralino sector � ˜ S � → � � B , ˜ W , ˜ H u , ˜ H d , ˜ χ 0 χ 0 χ 0 χ 0 χ 0 − ˜ 1 , ˜ 2 , ˜ 3 , ˜ 4 , ˜ 5 free parameters λ, κ, A λ , A κ , tan β ≡ � H u � � H d � , µ eff ≡ λ � S � , M 1 / 2 , m 0 , A 0 M 1 , M 2 , M 3 , m 2 q i , m 2 u i , m 2 d i , m 2 ℓ i , m 2 e i , A t , A b , A τ ˜ ˜ ˜ ˜ ˜ 3 / 9

  5. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion semi-constrained Z 3 -invariant NMSSM Higgs superpotential H d + κ W H = λ � S � H u · � � S 3 3 Higgs sector ℜ � d , S � ℑ � d , S � H 0 u , H 0 H 0 u , H 0 → � � H 0 1 , H 0 2 , H 0 − − → ( A 1 , A 2 ) 3 Neutralino sector � ˜ S � → � � B , ˜ W , ˜ H u , ˜ H d , ˜ χ 0 χ 0 χ 0 χ 0 χ 0 − ˜ 1 , ˜ 2 , ˜ 3 , ˜ 4 , ˜ 5 free parameters λ, κ, A λ , A κ , tan β ≡ � H u � � H d � , µ eff ≡ λ � S � , M 1 / 2 , m 0 , A 0 M 1 , M 2 , M 3 , m 2 q i , m 2 u i , m 2 d i , m 2 ℓ i , m 2 e i , A t , A b , A τ ˜ ˜ ˜ ˜ ˜ 3 / 9

  6. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion A lot of research is done on NMSSM phenomenology (a not exhaustive selection of recent results) Benchmark points (LHCHXSWGNMSSM) Neutralino dark matter χ 0 ˜ 1 with large singlino content: χ 0 2 (˜ χ 0 1 (˜ S ) H 0 ˜ B ) → ˜ 2 (125 GeV) Galactic Center Excess from (Ellwanger, Teixeira, JHEP 1504 (2015) 172) 1 (30 − 70 GeV) → b ¯ χ 0 χ 0 b , τ + τ − ˜ 1 ˜ ggF → A 1 (26 GeV) → b ¯ b (Butter, Plehn, Rauch, Zerwas, Henrot-Versillé, (Allanach, Badziak, Hugonie, Ziegler, Lafaye, Phys. Rev. D93 (2016) 015011) Phys. Rev. D92 (2015) 015006) χ 0 χ 0 ˜ 1 ˜ 1 ( � 10 GeV) → ν µ ν µ in the sun H 0 2 → 2 H 0 1 (37 GeV) → 4 A 1 (7 GeV) (Enberg, Munir, de los Heros, Werder, 1506.05714) (Barducci, Belanger, Hugonie) blind spots: σ SI ≈ 0 (Badziak, Olechowski, Szczerbiak, 750 GeV diphoton excess JHEP 1603 (2016) 179) ggF → H 0 2 / H 0 3 → A 1 A 1 → 2( γγ ) Other dark matter candidates M ( H 2 ) ≈ 730 GeV, M ( H 3 ) ≈ 760 GeV right-handed sneutrino ˜ ν R M ( A 1 ) = 211 MeV � 2 M ( µ ± ) (Cerdeño, Peiró, Robles, JCAP 1604 (2016) 011) (Ellwanger, Hugonie, 1602.03344) gravitino ˜ G M ( A 1 ) = 135 MeV ≈ M ( π 0 ) (Hasenkamp, Winkler, Nucl. Phys. B877 (2013) 419) (Domingo, Heinemeyer, Kim, Rolbiecki, Eur. Phys. J. C76 (2016) 249) and much more . . . 4 / 9

  7. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Experimental constraints Measurement Value and error Unit M ( H 2 ) 125 . 09 ± 0 . 24 (exp) ± 3 (theo) [GeV] χ 0 t 1 ) , M (˜ τ ± χ ± < M (˜ M (˜ 1 ) b 1 ) , M (˜ 1 ) , M (˜ 1 ) Ω CDM h 2 0 . 1188 ± 0 . 0010 (exp) ± 10 % (theo) σ SI (˜ χ 0 1 − 54 Xe) < LUX limits χ ± M (˜ 1 ) > 103 [GeV] M ( H ± ) > 78 . 6 [GeV] [10 − 4 ] BR( B → X s γ ) 3 . 43 ± 0 . 21 (exp) ± 0 . 07 (theo) BR( B 0 s → µ + µ − ) [10 − 9 ] 2 . 9 ± 0 . 7 (exp) BR( B + → τ + ν τ ) [10 − 4 ] 1 . 14 ± 0 . 22 (exp) SFitter : MCMC scan of NMSSMTools : computation micrOMEGAs : computation NMSSM parameter space of Higgs and sparticle of relic density and direct based on a χ 2 distribution masses, couplings and detection cross sections of computed from decays in the NMSSM neutralino dark matter experimental constraints 5 / 9

  8. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion ATLAS’ supersymmetry searches at 13 TeV 0-lepton analysis (1605.03814) Event generation search for one-step decays MadGraph5_aMC@NLO : cross section χ 0 ˜ q → q ˜ 1 computation and generation of hard χ 0 g → qq ˜ ˜ events for ˜ g ˜ g , ˜ g ˜ q , ˜ q ˜ q production 1 in events with E miss , jets and no leptons T Pythia6 : sparticle decays and showering of hard events with the 2jm 0L 4jt 0L 5j 0L k T -jet MLM scheme Leptons no lepton E miss [GeV] > 200 200 200 Delphes : fast simulation of the T p T (jets) [GeV] > 300, 50 200, 100, 200, 100, ATLAS detector’s response 100, 100 . . . , 100 ∆ ϕ ( � jet 1 ... 3 , � E miss ) > 0 . 4 0 . 4 0 . 4 MadAnalysis : implementation of T ∆ ϕ ( � jet > 3 , � E miss ) > – 0 . 2 0 . 2 T cut-based ATLAS analyses to A > – 0 . 04 0 . 04 compare with upper limits derived / √ H T [GeV 1 / 2 ] > E miss 15 – – T from data E miss / m eff ( N j ) > – 0 . 2 0 . 25 T m eff (incl.) [GeV] > 1600 2200 1600 6 / 9

  9. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion ATLAS’ supersymmetry searches at 13 TeV Event generation 1-lepton analysis (1605.04285) MadGraph5_aMC@NLO : cross section search for two-step decays computation and generation of hard 1 → W ± ˜ χ ± χ ± χ 0 g → qq ˜ ˜ 1 , ˜ events for ˜ g ˜ g , ˜ g ˜ q , ˜ q ˜ q production 1 in events with E miss , jets and one isolated lepton T Pythia6 : sparticle decays and showering of hard events with the 5j SL 4j low- x HL 5j HL k T -jet MLM scheme Leptons one soft lepton one hard lepton p T (lepton) [GeV] < 35, > 7(8) > 35 Delphes : fast simulation of the E miss [GeV] > 375 200 250 T ATLAS detector’s response p T (jets) [GeV] > 200, 200, 325, 150, 225, 50, 30, 30, 30 150, 150 . . . , 50 m T [GeV] > 100 425 125 MadAnalysis : implementation of H T [GeV] > 1100 – – cut-based ATLAS analyses to A > 0 . 02 0 . 04 0 . 04 compare with upper limits derived E miss / m eff (incl.) > – – 0 . 1 T from data m eff (incl.) [GeV] > – 2000 1800 6 / 9

  10. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Preliminary results: SFitter scan – Profile likelihood in M 1 / 2 : m 0 Profile Likelihood tan β = 5 . 44 χ 2 [GeV] 9 A GUT = 1400 GeV λ 1150 8 A GUT 1/2 = 1488 GeV κ M 1100 λ SUSY = 0 . 6 7 1050 κ SUSY = 0 . 18 6 1000 µ eff = 208 . 7 GeV 5 950 4 900 3 850 2 800 1 750 0 200 400 600 800 1000 1200 1400 1600 1800 M [GeV] 0 = ⇒ scan in { m 0 , M 1 / 2 , A 0 } space with fixed other parameters = ⇒ identify regions compatible with all constraints = ⇒ choose points in this region suitable to construct a grid 7 / 9

  11. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Preliminary results: SFitter scan – Profile likelihood in M 1 / 2 : m 0 Profile Likelihood no 125 GeV Higgs χ 2 [GeV] wrong relic density 9 1150 wrong b → s γ 8 1/2 M excluded by LUX 1100 7 1050 6 1000 5 950 4 900 3 850 2 800 1 750 0 200 400 600 800 1000 1200 1400 1600 1800 M [GeV] 0 = ⇒ scan in { m 0 , M 1 / 2 , A 0 } space with fixed other parameters = ⇒ identify regions compatible with all constraints = ⇒ choose points in this region suitable to construct a grid 7 / 9

  12. Introduction NMSSM Phenomenology Constraints SUSY Searches Scan Simulation Conclusion Preliminary results: SFitter scan – Profile likelihood in A 0 : M 1 / 2 Profile Likelihood no 125 GeV Higgs χ 2 [GeV] wrong relic density 9 wrong b → s γ 8 0 − A 1650 excluded by LUX 7 − 6 1700 5 − 1750 4 3 − 1800 2 1 − 1850 0 700 750 800 850 900 950 1000 1050 1100 M [GeV] 1/2 = ⇒ scan in { m 0 , M 1 / 2 , A 0 } space with fixed other parameters = ⇒ identify regions compatible with all constraints = ⇒ choose points in this region suitable to construct a grid 7 / 9

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