A Fast Monte Carlo Simulation for the International Linear Collider Detector | |
Furse, D. ; Tech, /Georgia | |
Stanford Linear Accelerator Center | |
关键词: Linear Colliders; Calorimeters; 43 Particle Accelerators; Simulation; Stanford Linear Accelerator Center Instrumentation,Other; | |
DOI : 10.2172/877467 RP-ID : SLAC-TN-05-093 RP-ID : AC02-76SF00515 RP-ID : 877467 |
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美国|英语 | |
来源: UNT Digital Library | |
【 摘 要 】
The following paper contains details concerning the motivation for, implementation and performance of a Java-based fast Monte Carlo simulation for a detector designed to be used in the International Linear Collider. This simulation, presently included in the SLAC ILC group's org.lcsim package, reads in standard model or SUSY events in STDHEP file format, stochastically simulates the blurring in physics measurements caused by intrinsic detector error, and writes out an LCIO format file containing a set of final particles statistically similar to those that would have found by a full Monte Carlo simulation. In addition to the reconstructed particles themselves, descriptions of the calorimeter hit clusters and tracks that these particles would have produced are also included in the LCIO output. These output files can then be put through various analysis codes in order to characterize the effectiveness of a hypothetical detector at extracting relevant physical information about an event. Such a tool is extremely useful in preliminary detector research and development, as full simulations are extremely cumbersome and taxing on processor resources; a fast, efficient Monte Carlo can facilitate and even make possible detector physics studies that would be very impractical with the full simulation by sacrificing what is in many cases inappropriate attention to detail for valuable gains in time required for results.
【 预 览 】
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877467.pdf | 721KB | download |