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PHENIX: discovery and precision

PHENIX: discovery and precision. Exploit flexibility, uniqueness of RHIC physics p+p to Au+Au at  s NN = 500 Z/A GeV asymmetric beams and polarized protons too Properties of QCD under extreme conditions

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PHENIX: discovery and precision

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  1. PHENIX: discovery and precision • Exploit flexibility, uniqueness of RHIC physics • p+p to Au+Au at sNN = 500 Z/A GeV • asymmetric beams and polarized protons too • Properties of QCD under extreme conditions • confinement, phase transitions, gluon saturation, parton propagation, hadron modification, etc. • Spin structure of nucleon • gluon, anti-quark spin structure; transversity

  2. PHENIX by the numbers • 12 detector subsystems (drift/pixel/strip chambers, RICH, EMCal, TOF, dE/dx, silicon) • 300,000 channels (25,000 channels for EMCal) • 350 kB/event, 20-60 MB/sec recording rate • 100 TB data on tape – raw, reconstructed, and skimmed • little volume reduction during reconstruction • 70,000 files, expect 300,000+ more in 2003

  3. PHENIX from above beam axis

  4. PHENIX analysis • (semi-) inclusive cross-sections, correlations • mixed event background subtraction • large volume data scans • evolving analysis topics, techniques • single physics data stream through reconstruction • file based approach

  5. Computing components • Variety of frameworks, but single, common interface to data • ROOT for I/O of non-raw data • Objectivity OODB for calibrations, meta-data • file catalog, data “carousel”, query utilities • integrating file catalog query into standard frameworks before opening

  6. Development plans • Focus on data management • intra- and inter-site; integration of file catalog into daily life; dynamic population/balancing of disk resident data • GRID middleware use for authentication, authorization • start small/realistic and work from there • few hundred analyzers, multiple continents • Replication, remote jobs tried, but tough • reconstruction of 200 GeV p+p done at CC-J

  7. Major PHENIX Computing Sites BNL LLNL Lund SUNYSB CC-J CC-F UNM VU

  8. Goals and needs • Projects • replicated rdb images as file catalogs • file server load-balancing, inter-site data replication and intra-site data migration • Support • ITR support from NSF would leverage existing funds that can provide some support for ~3 years • DOE component to BNL permit recruiting of IT professional to sit at BNL

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