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Title: A Fast Monte Carlo Simulation for the International Linear Collider Detector

Abstract

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 inmore » many cases inappropriate attention to detail for valuable gains in time required for results.« less

Authors:
;
Publication Date:
Research Org.:
Stanford Linear Accelerator Center (SLAC)
Sponsoring Org.:
USDOE
OSTI Identifier:
877467
Report Number(s):
SLAC-TN-05-093
TRN: US0601492
DOE Contract Number:  
AC02-76SF00515
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
43 PARTICLE ACCELERATORS; CALORIMETERS; IMPLEMENTATION; LINEAR COLLIDERS; PERFORMANCE; PHYSICS; SIMULATION; STANDARD MODEL; STANFORD LINEAR ACCELERATOR CENTER; Instrumentation,OTHER

Citation Formats

Furse, D., and /Georgia Tech. A Fast Monte Carlo Simulation for the International Linear Collider Detector. United States: N. p., 2005. Web. doi:10.2172/877467.
Furse, D., & /Georgia Tech. A Fast Monte Carlo Simulation for the International Linear Collider Detector. United States. doi:10.2172/877467.
Furse, D., and /Georgia Tech. Thu . "A Fast Monte Carlo Simulation for the International Linear Collider Detector". United States. doi:10.2172/877467. https://www.osti.gov/servlets/purl/877467.
@article{osti_877467,
title = {A Fast Monte Carlo Simulation for the International Linear Collider Detector},
author = {Furse, D. and /Georgia Tech},
abstractNote = {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.},
doi = {10.2172/877467},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 15 00:00:00 EST 2005},
month = {Thu Dec 15 00:00:00 EST 2005}
}

Technical Report:

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