Author/Authors :
Litvin، نويسنده , , Jack V. and Newman، نويسنده , , H. and Shevchenko، نويسنده , , S. and Koranda، نويسنده , , S. and Loftis، نويسنده , , B. and Towns، نويسنده , , J. and Livny، نويسنده , , M. and Couvares، نويسنده , , P. and Tannenbaum، نويسنده , , T. G. Frey، نويسنده , , J.، نويسنده ,
Abstract :
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→γγ decay channel with full background simulation.