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Geant4 Monte-Carlo (GEMC) A database-driven simulation program

Conference · · EPJ Web of Conferences
 [1]
  1. Thomas Jefferson National Accelerator Facility (TJNAF), Newport News, VA (United States)
+ Show Author Affiliations
GEMC[1] is an application that harnesses the power of databases to execute Geant4 Monte-Carlo simulations. The databases (MYSQL, CSQL, TEXT) define the geometry, materials, digitization algorithms, readout electronics and output formats. Implemented in C++, GEMC also boasts a user-friendly Python API that facilitates detector construction and database population. GEMC can handle real-life scenarios such as geometry variations and the run number-dependent calibration constants and digitization parameters. This abstract provides an overview of GEMC, accompanied by examples that showcase its versatility. We delve into the practical application of GEMC within the the CLAS12 experimental program at Jefferson Lab.
Research Organization:
Thomas Jefferson National Accelerator Facility, Newport News, VA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Nuclear Physics (NP)
DOE Contract Number:
AC05-06OR23177
OSTI ID:
2407238
Report Number(s):
JLAB-PHY-23-4019; DOE/OR/23177-7579
Conference Information:
Journal Name: EPJ Web of Conferences Journal Volume: 295
Country of Publication:
United States
Language:
English

References (5)

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journal April 2020
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journal April 2020
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journal April 2020
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journal April 2020

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The CLAS12 Geant4 simulation
Journal Article · Fri Jan 10 19:00:00 EST 2020 · Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment · OSTI ID:1583123

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