Theory Tools for New Physics Searches Mad Graph

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Theory Tools for New Physics Searches Mad. Graph and Mad. Event Models Tim Stelzer

Theory Tools for New Physics Searches Mad. Graph and Mad. Event Models Tim Stelzer Data University of Illinois CTEQ May 2007

A Very Good Outline Models • Matrix Element Alpgen Comp. HEP Mad. Event Sherpa

A Very Good Outline Models • Matrix Element Alpgen Comp. HEP Mad. Event Sherpa • Matching VINCIA MLM CKKW SCET • Showers+Hadronization Pythia HERWIG • Issue + Results Data Sherpa

My Outline Goal Model Data “I don’t have enough time to try all of

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

Model to Data Goal Model Data Pythia Inclusive Matching User Levels • Interface w/

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

User Levels Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive

User Levels Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive • 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 Infrastructure – Set up entire system for local process and event generation 10

User Levels Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive

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

Comprehensive Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM

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

Comprehensive Goal Model Data Pythia Inclusive Matching • Standard Model User Levels Web Local

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

Comprehensive Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM

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

Comprehensive Goal Model Data Pythia Inclusive Matching • MSSM (Hagiwara et al. 2005) –

Comprehensive Goal Model Data Pythia Inclusive Matching • MSSM (Hagiwara et al. 2005) – David Rainwater, Tilman Plehn, Johan Alwall User Levels Web Local Addict Comprehensive SM HEFT *MSSM* User Mod Mad. Rules Infrastructure ~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

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

Comprehensive Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM

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

Infrastructure Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM

Infrastructure Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM MSSM HEFT User Mod Mad. Rules Infrastructure • Hardware – UIUC – CP 3 – Rome 40 node farm 4 TB 32 node farm • People – Over 1000 registered users – Great Collaborators – Proposal increased user support 23

Summary Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM

Summary Goal Model Data Pythia Inclusive Matching User Levels Web Local Addict Comprehensive SM MSSM HEFT User Mod Mad. Rules 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