4.5 Article

MAGE-a GEANT4-Based Monte Carlo Application Framework for Low-Background Germanium Experiments

期刊

IEEE TRANSACTIONS ON NUCLEAR SCIENCE
卷 58, 期 3, 页码 1212-1220

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNS.2011.2144619

关键词

GEANT4; germanium detectors; low background; Monte Carlo; neutrinoless double-beta decay; radiation detection

资金

  1. EU [RII3-CT-2004-506222]
  2. BMBF [05CD5VT1/8]
  3. DFG [GRK 683]
  4. Los Alamos National Laboratory
  5. Office of Science of the U.S. Department of Energy, University of Washington [DE-FG02-97ER41020]
  6. Lawrence Berkeley National Laboratory [DE-AC02-05CH11231]
  7. University of North Carolina [DE-FG02-97ER41041]
  8. Pacific Northwest National Laboratory [DE-AC06-76RLO1830]
  9. Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]
  10. Direct For Mathematical & Physical Scien
  11. Division Of Physics [0919270] Funding Source: National Science Foundation

向作者/读者索取更多资源

We describe a physics simulation software framework, MAGE, that is based on the GEANT4 simulation toolkit. MAGE is used to simulate the response of ultra-low radioactive background detectors to ionizing radiation, specifically the MAJORANA and GERDA neutrinoless double-beta decay experiments. MAJORANA and GERDA use high-purity germanium detectors to search for the neutrinoless double-beta decay of Ge-76 and MAGE is jointly developed between these two collaborations. The MAGE framework contains the geometry models of common objects, prototypes, test stands and the actual experiments. It also implements customized event generators, GEANT4 physics lists and output formats. All of these features are available as class libraries that are typically compiled into a single executable. The user selects the particular experimental setup implementation at run-time via macros. The combination of all these common classes into one framework reduces duplication of efforts, eases comparison between simulated data and experiment and simplifies the addition of new detectors to be simulated. This paper focuses on the software framework, custom event generators and physics lists.

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