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Extracting model parameters - are our techniques fit for the job?

Extracting model parameters - are our techniques fit for the job?. Patrick Meade Institute for Advanced Study. Outline. Number of ways to extract data from models have been/are being developed (more in Dirk’s talk) Are these techniques robust? What models do we actually care about?

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Extracting model parameters - are our techniques fit for the job?

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  1. Extracting model parameters - are our techniques fit for the job? Patrick Meade Institute for Advanced Study

  2. Outline • Number of ways to extract data from models have been/are being developed (more in Dirk’s talk) • Are these techniques robust? • What models do we actually care about? • Models that have a point – can in principle talk about extracting parameters • Old Standards (with some new twists perhaps) • Newly Needed Ones • Models that don’t (at least from theory point of view) • How quickly adaptable are the techniques for new models?

  3. Models that we care about? Murayama How do we decide which to “fit”?

  4. Trends in Theory Possibilities for the LHC Time

  5. Trends in Theory Possibilities for the LHC

  6. Trends in Theory Possibilities for the LHC NOTE: THEY MAY ALL BE BAD CHOICES! Disclaimer: Candidates are not representative of models or authors of said models

  7. Motivated Models – Old School • SUSY • Strong Dynamics • Extra dimensions • Techni… • Little Higgs • ...

  8. Fitting easy because motivated models have few parameters and distinct signatures? AMSB+common scalar mass Gauge Mediation MSUGRA

  9. Fitting easy because motivated models have few parameters and distinct signatures? Gauge Mediation General Gauge Mediation 6 Numbers

  10. General Gauge Mediation Arbitrary Gaugino Masses

  11. Other Models? As model builders we have a lot of ways out so make sure techniques for fitting are adaptive

  12. New Models? • How do we think about fitting when new physics pops up? • Effective lagrangians/Models • Again we need to be adaptive!

  13. “Un”motivated Models • How do we characterize them? • Effective lagrangians / form factors? • Leftover questions from Matt’s talk yesterday?

  14. Thanks to the Organizers!(that came!) • Thanks especially to Tilman! • Graham has your present but forgot to wrap it, you’ll get it at lunch

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