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Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix NLO Event Simulation for Chargino Production at the ILC based on hep-ph/0607127, hep-ph/0610401 Tania Robens in collaboration with W.


  1. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix NLO Event Simulation for Chargino Production at the ILC based on hep-ph/0607127, hep-ph/0610401 Tania Robens in collaboration with W. Kilian, J. Reuter RWTH Aachen SUSY 2007, Universit¨ at Karlsruhe Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  2. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Introduction and Motivation 1 Charginos and Neutralinos in the MSSM Experimental accuracy and NLO results Inclusion of NLO results in WHIZARD 2 Implementation in WHIZARD Photons: fixed order vs resummation Results Summary and Outlook 3 Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  3. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Charginos and Neutralinos in the MSSM Chargino and Neutralino sector: Reconstruction of SUSY parameters χ ± χ 0 Charginos � i and Neutralinos � i : superpositions of gauge and Higgs boson superpartners Chargino/ Neutralino sector: tan β, µ (Higgs sector), M 1 , M 2 (soft breaking terms) can be reconstructed from χ ± sector χ ± χ ± χ 0 masses of � 1 , � 2 , � 1 , 2 σ in the � (Choi ea 98, 00, 01) low-scale parameters + evolution to high scales (RGEs): ⇒ hint at SUSY breaking mechanism (Blair ea, 02) requires high precision in ew-scale parameter determination Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  4. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Charginos and Neutralinos in the MSSM Chargino production at the ILC ILC : future e + e − collider, √ s = 500 GeV (1 TeV ) “clean” environment, low backgrounds ⇒ high precision Charginos: (typically) light in the MSSM ⇒ easily accessible at colliders (ILC/ LHC) ⇐ LO production at the ILC: χ + χ + ˜ ˜ e + e + ν e ˜ γ, Z e − χ − ˜ e − χ − ˜ decays: typically long decay chains e.g. e + e − → � ν τ ( → τ + τ − ν τ ¯ χ + τ + χ 0 χ 0 χ − τ − 1 � 1 → ˜ 1 ˜ 1 ν τ ¯ ν τ � 1 � 1 ) Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  5. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Experimental accuracy and NLO results Experimental accuracy and theoretical next-to-leading-order (NLO) corrections experimental errors: obtained from simulation studies (LHC/ ILC study, Weiglein ea, 04) generate “experimental data” with known SUSY input parameters errors: combination of statistical and systematic errors combined LHC + ILC: � same O errors from fitting routines determining SUSY parameters Theory : Full NLO SUSY corrections for σ ( ee → � χ � χ ) at ILC: in the % regime (Fritzsche ea 04, ¨ Oller ea 04, 05) ⇒ include complete NLO contributions in analyses ⇐ Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  6. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Experimental accuracy and NLO results Experimental accuracy and theoretical next-to-leading-order (NLO) corrections experimental errors: obtained from simulation studies (LHC/ ILC study, Weiglein ea, 04) generate “experimental data” with known SUSY input parameters errors: combination of statistical and systematic errors combined LHC + ILC: � same O errors from fitting routines determining SUSY parameters Theory : Full NLO SUSY corrections for σ ( ee → � χ � χ ) at ILC: in the % regime (Fritzsche ea 04, ¨ Oller ea 04, 05) ⇒ include complete NLO contributions in analyses ⇐ Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  7. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Implementation in WHIZARD From σ tot to Monte Carlo event generators MC event generators: Generate event samples (same form as experimental outcome) experiments: see final decay products need to compare with simulated event samples also: important irreducible background effects ( e.g. Hagiwara ea, 05, → talk by J¨ urgen Reuter ) ⇒ include NLO results in Monte Carlo Generators ⇐ MC Generator WHIZARD (W. Kilian, LC-TOOL-2001-039) : so far: LO Monte Carlo Event Generator for 2 → n particle processes includes various physical models (SM, MSSM, non-commutative geometry, little Higgs models), initial state radiation, parton shower models,... Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  8. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Implementation in WHIZARD From σ tot to Monte Carlo event generators MC event generators: Generate event samples (same form as experimental outcome) experiments: see final decay products need to compare with simulated event samples also: important irreducible background effects ( e.g. Hagiwara ea, 05, → talk by J¨ urgen Reuter ) ⇒ include NLO results in Monte Carlo Generators ⇐ MC Generator WHIZARD (W. Kilian, LC-TOOL-2001-039) : so far: LO Monte Carlo Event Generator for 2 → n particle processes includes various physical models (SM, MSSM, non-commutative geometry, little Higgs models), initial state radiation, parton shower models,... Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  9. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Implementation in WHIZARD NLO cross section contributions σ tot contributions and dependencies: σ born virtual O ( α ) corrections: σ virt ( λ ) emission of soft/ hard collinear/ hard non-collinear photons: σ soft (∆ E γ , λ ) + σ hc (∆ E γ , ∆ θ γ ) + σ 2 → 3 (∆ E γ , ∆ θ γ ) higher order initial state radiation: σ ISR − σ O ( α ) ISR ( Q ) λ : photon mass , ∆ E γ : soft cut , ∆ θ γ : collinear angle Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  10. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Implementation in WHIZARD Including FormCalc O ( α ) results in WHIZARD use FeynArts / FormCalc generated code for M virt ( λ ) : virtual corrections f s (∆ E γ , λ ) : soft photon factor ( M born : born contribution) fixed order: integrate over effective matrix element: |M eff | 2 (∆ E γ ) = (1+ f s (∆ E γ , λ )) |M born | 2 + 2 Re ( M born M ∗ virt ( λ )) ∆ E γ : soft photon cut, λ : photon mass in practice: create library from FormCalc code, link this to WHIZARD Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  11. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Photons: fixed order vs resummation (1): Fixed O ( α ) contributions integrate |M eff | 2 (born/ virtual/ soft photonic part) hard collinear photons: collinear approximation ( M born ) hard non-collinear photons: explicit e e → � χ � χ γ process ( M 2 → 3 born ) corresponds to analytic results in literature (Fritzsche ea/ ¨ Oller ea) Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  12. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Photons: fixed order vs resummation (1): Fixed O ( α ) contributions integrate |M eff | 2 (born/ virtual/ soft photonic part) + hard collinear photons: collinear approximation ( M born ) + hard non-collinear photons: explicit e e → � χ � χ γ process ( M 2 → 3 born ) corresponds to analytic results in literature (Fritzsche ea/ ¨ Oller ea) problem: too low en- e − e + → ˜ ergy cuts: |M eff | 2 < 0 χ − χ + 1 ˜ 1 LO |M eff | 2 ( − + + − ) ⇒ use negative weights or set M eff = 0 √ s = 1 TeV ∆ E = 10 event generator ∆ E = 0 . 5 specific problem 0 ( σ tot ≥ 0) − 1 − 0.5 0 0.5 1 cos θ M 2 behaviour, different cuts [GeV] Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

  13. Outline Introduction and Motivation Inclusion of NLO results in WHIZARD Summary and Outlook Appendix Photons: fixed order vs resummation (2): Resumming leading logs to all orders idea: subtract O ( α ) soft + virtual collinear contributions in M eff : (1 + f s (∆ E γ )) |M born | 2 + 2 Re ( M born M ∗ | � M eff | 2 = virt ) 2 f ISR , O ( α ) (∆ E γ ) |M born | 2 − s fold this with ISR structure function: � � 1 � 1 dx 2 f ISR ( x 1 ) f ISR ( x 2 ) | � M eff | 2 ( s , x i )) d Γ dx 1 0 0 f ISR ( x ): Initial state radiation (Jadach, Skrzypek, Z.Phys. 1991) ⇒ describes collinear (real + virtual) photons in leading log accuracy ⇐ f ISR , O ( α ) : soft integrated O ( α ) contribution s Tania Robens NLO Event Simulation for Chargino Production at the ILC SUSY 2007, Universit¨ at Karlsruhe

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