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Prototype of GRID infrastructure for H yields gammagamma study with full QCD background simulation and reconstruction for CMS at LHC

CMS experiment at CERN Large Hadron Collider (LHC) will begin taking data in 2007. Along with the Petabytes of data expected to be collected, CMS will also generate an enormous amount of Monte Carlo simulation data. This paper describes solutions developed at Caltech to address the issue of controll...

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Detalles Bibliográficos
Autores principales: Litvin, V, Newman, H, Shevchenko, S, Koranda, S, Loftis, B, Towns, J, Livny, M, Couvares, P, Tannenbaum, T, Frey, J
Lenguaje:eng
Publicado: 2003
Materias:
Acceso en línea:https://dx.doi.org/10.1016/S0168-9002(03)00467-4
http://cds.cern.ch/record/624977
Descripción
Sumario:CMS experiment at CERN Large Hadron Collider (LHC) will begin taking data in 2007. Along with the Petabytes of data expected to be collected, CMS will also generate an enormous amount of Monte Carlo simulation data. This paper describes solutions developed at Caltech to address the issue of controlled generation of large amounts of Monte Carlo simulation data using distributed Alliance resources. We will report on the results of production using Grid tools (Globus, Condor-G) to knit together resources from various institutions within Alliance in NPACI framework. The results of this effort have been used for the study of the H yields gammagamma decay channel with full background simulation.