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Theory Tools for New Physics Searches MadGraph and MadEvent

Theory Tools for New Physics Searches MadGraph and MadEvent. Models Data. Tim Stelzer University of Illinois CTEQ May 2007. A Very Good Outline. Models. Matrix Element Matching Showers+Hadronization Issue + Results. Alpgen. CompHEP. MadEvent.

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Theory Tools for New Physics Searches MadGraph and MadEvent

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  1. Theory Tools for New Physics SearchesMadGraph and MadEvent Models Data Tim Stelzer University of Illinois CTEQ May 2007

  2. A Very Good Outline Models • Matrix Element • Matching • Showers+Hadronization • Issue + Results Alpgen CompHEP MadEvent Sherpa VINCIA MLM CKKW SCET Pythia HERWIG Sherpa Data

  3. My Outline Goal • Model Data • User Levels • Comprehensive Infrastructure “I don’t have enough time to try all of the event generators. Which ones should I use? J. Proudfoot CTEQ May 2007 • Model to Data • Flexible User Levels • Comprehensive • Infrastructure Goal: Provide a common infrastructure useful to both theorists and experimentalists for studying high energy physics collisions. 05

  4. Model to Data Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Comprehensive Infrastructure • Interface w/ Pythia (LesHouches) • Inclusive Samples (W+Jets) • MLM Matching (Johan Alwall) 8

  5. User Levels Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict Comprehensive Infrastructure • Web-User • Generate process and events on web. Download events for further analysis • Local User • Download source for process, modify and run on local machines. • Addict • Set up entire system for local process and event generation 10

  6. User Levels Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict Comprehensive Alwall+de Visscher w/ MadEvent hep-ph/0611129 Infrastructure 14

  7. Comprehensive Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • MSSM • HEFT • User Mod • MadRules Infrastructure • Signals and Backgrounds calculated with same tool for multiple analysis. • Reduces overhead • Reduces errors • Each Analysis needs Multiple Checks 16

  8. Comprehensive Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • *SM* • MSSM • HEFT • User Mod • MadRules Infrastructure • Standard Model 17

  9. Comprehensive Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • *HEFT* • MSSM • User Mod • MadRules Infrastructure • Higgs Effective Field Theory • Fabio Maltoni, Rikkert Frederix • Effective ggH vertex from top quark loop • Two Higgs Doublet Model (2HDM) • Hichel Herquet and Simon de Visscher 19

  10. ~500 processes to check all Feynman rules (CP and R-conserving, CKM=MSN=1) Comprehensive Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • HEFT *MSSM* • User Mod • MadRules Infrastructure • MSSM (Hagiwara et al. 2005) • David Rainwater, Tilman Plehn, Johan Alwall

  11. Comprehensive Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • HEFT • MSSM • *User Mod* • *MadRules* Infrastructure • User Defined Models • Particles.dat • Interactions.dat • Couplings • UserMod • scripts for adding particles/interactions. • MadRules • Mathmatica: Lagrangian-> MadEvent 21

  12. Comprehensive Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • HEFT • MSSM • *User Mod* • *MadRules* Infrastructure • User Defined Models • Particles.dat • Interactions.dat • Couplings • UserMod (Simon de Visscher) • scripts for adding particles/interactions. • MadRules (Claude Duhr) • Mathmatica: Lagrangian-> MadEvent 21

  13. Infrastructure Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • MSSM • HEFT • User Mod • MadRules Infrastructure • Hardware • UIUC 40 node farm 4 TB • CP3 32 node farm • Rome 32 node farm • People • Over 1000 registered users • Great Collaborators • Proposal increased user support 23

  14. Summary Goal • Model Data • Pythia • Inclusive • Matching • User Levels • Web • Local • Addict • Comprehensive • SM • MSSM • HEFT • User Mod • MadRules Infrastructure Provide a common infrastructure useful to both theorists and experimentalists for studying high energy physics collisions. • Model to Data • Flexible User Levels • Comprehensive • Infrastructure • What would you find most helpful? 25

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