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AMY Detector (eighties)

AMY Detector (eighties). A rather compact detector. LEP/LHC at CERN - G eneva. Particle Accelerators. usual types electron vs anti-electron proton vs proton proton vs anti-proton electron vs proton. 유럽에서 하는 L3 실험.

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AMY Detector (eighties)

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  1. AMY Detector (eighties) A rather compact detector

  2. LEP/LHC at CERN- Geneva Particle Accelerators • usual types • electron vs anti-electron • proton vs proton • proton vs anti-proton • electron vs proton

  3. 유럽에서 하는 L3 실험

  4. e+e- Cross Sections(for example, LEP experiments in 1989~2000) • They represents the probability of producing specific scattering events • Finding new physics largely depends on how well we distinguish signals from background processes

  5. Branching Ratios of Higgs (e.g.) • Branching Ratios mf2 • Decays to bb dominant

  6. 4 jets Missing Energy Higgs Signature (Expected) ν Z→ νν Z→ qq H→ bb H→ bb ν 2 leptons(e,μ) +2 jets 2 taus(τ) +2 jets τ Z(H)→τ τ Z→ l+l- H(Z)→bb(qq) H→bb τ

  7. Event Display

  8. One of the four LHC detectors: Experiments from 2007 online system multi-level trigger filter out background reduce data volume 40 MHz (40 TB/sec) level 1 - special hardware 75 KHz (75 GB/sec) Particle collisions in nanoseconds level 2 - embedded processors 5 KHz (5 GB/sec) level 3 - PCs 100 Hz (100 MB/sec) data recording & offline analysis

  9. Higgs Particle in CMS (imagination)

  10. Why HEP Data Grid and e-Science? • The Grid is rapidly being recognized as one of the most promising application of information technology. • High Energy Physics (HEP), as one of the most immediate applications, needs, in its nature, - A new next-generation information technology in very high-speed networking, - massive data distribution and processing, - and intensive computing power and data storage. • To meet these needs, "HEP Data Grid“ and we do e-Science

  11. CERN Experiments: Example The LHC Detectors CMS ATLAS ~6-8 PetaBytes / year ~108 events / year LHCb

  12. CMS at LHC Courtesy P. Sphicas/ICHEP2002 and CMS

  13. Concepts of Linear Collider in 2010’s another option

  14. In the future • Production of data ( > tens of PB/year) • Processing of data and sharing with thousands of people for analysis • Transferring data ( ~ Tera bit seconds ) • Analysis becomes very complex but should be made easy for users • GRID / High BW Networks/ Supercomputing • In fact, related technologies and economic factors are in favor of us to make this scenario real

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