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Physics in US CMS

Physics in US CMS. US CMS Annual Collaboration Meeting May 2002 FSU Jin Branson. Outline. Review of the last year US in CMS Physics The CMS software tutorial at UCSD Issues to be addressed DAQ TDR projects Projects for the next 2 years. Review of the Last Year.

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Physics in US CMS

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  1. Physics in US CMS US CMS Annual Collaboration Meeting May 2002 FSU Jin Branson

  2. Outline • Review of the last year • US in CMS Physics • The CMS software tutorial at UCSD • Issues to be addressed • DAQ TDR projects • Projects for the next 2 years

  3. Review of the Last Year • S&C project “morally baselined” in Nov. • A great deal of progress on PRS/HLT issues • Major US contribution to organized production • Major US contribution to CMS core software • Spring 02 production runs quickly • Grid projects support CMS projects • CMS projects play a major role in grid demonstrations • New T2 center at U. Florida • LHC Computing Grid project • Pesistency crisis • CMS desire to have our solutions adopted • Incorporate LCG work into CMS software • Common projects…

  4. US in CMS Physics • European Physicists very active in CMS • Including postdocs • US has many running experiments • BaBar, CDF, D0 early in new runs • US program focused on success of running experiments • Students, postdocs… are there • US is making big contribution through S&C project. • More focus, so far on S than C • DAQ TDR is difficult but we will succeed • Important to position ourselves for physics in US and at CERN • We need more US physics activity • If any willing physicist is failing to get started on physics PLEASE let me know • PAC at FNAL should help to quickly assimilate CDF and D0 physicists • Physicists at universities also need to make transitions well before startup

  5. The Software Tutorial • 5 day CMS software tutorial plus grid/production in 4 days • ~35 people at 20 workstations (plus laptops) • Very good tutorials (see agenda) • Success bordering on disaster

  6. Select Zee events Compute inv. Mass histogram Compare Rehits to Simhits Find tracks, match to sim histogram Make projecct, database copy… Loop over muons, Print param, DT segments CSC digi, RPC Simhits

  7. .prepare simulated jet data with cmkin - cmsim - ooHits – ooDigi make useful job for jetmet group : optimizing soft jet reco with orca_ 6 1.generate 200 single muons at random directions 2.generate a OBJY DB 3.read back from ORCA the tracks and compute the tracking efficiency load geometry from DDD (only tracker), calculate the material of tracker using charged geantinos Modify tracker geometry in DDD, recompute rad/int len. Successful; will it give us new developers and analysts?

  8. Group Left at the End

  9. Issues to be addressed • Uniform access to T1 and T2 centers • Physics datasets at US facilities • Support for physics from UF and CS • US Physics/Software/Computing in the LCG era • Objectivity license problems and solutions • Communication in US CMS • Managing the S&C project • Need Physics Meetings

  10. High Level Trigger • Good progress on HLT algorithms at 2 X 1033 • Algorithms even execute in 400 ms  40 ms in 07 • 1034, high luminosity production nearly complete • Big effort to finish for DAQ TDR. • HLT work will continue for some time.

  11. Projects for the Next Few Years • CMS must be fully ready to do physics at startup • HLT must be applied early • US must also be fully ready at startup • CMS software is very functional for physics studies • There is a lot of work to do • The US should gain expertise in tracker and EM calorimeter analysis • Use of tracker in jets and MET • Analysis software and strategy

  12. US CMS Physics Coordination • All physics groups have made their meetings available to us. • US participation is still low. • We are well integrated into CMS-wide PRS activities. • Monthly(?) US meetings to coordinate our activities. • Input to Software and Computing project. • US PRS users have been very satisfied with support from Software and Computing project.

  13. Example of a 45 GeV ET Jet • Strong B field bends charged particles out of jet. • Separate clusters are visible in calorimeter. • Can use tracks to improve jet measurement.

  14. Jet Improvements Using Tracks Improved Resolution Improved raw Energy Scale

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