Journal article
The use of Monte Carlo calculations in the determination of a Ge detector efficiency curve
Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, v 511(3), pp 360-381
01 Oct 2003
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Precise measured data and an extensive set of Monte Carlo calculations have been combined to optimize the parameters for a 280
cm
3 n-type Ge semiconductor photon detector, with the outcome that the Monte Carlo calculations now provide a very precise detector efficiency curve. The detector position and its length were determined from a set of measurements that included an axial scan. Measurements of the relative efficiencies based on radionuclides with accurately known relative photon emission rates were combined with efficiencies calculated by a Monte Carlo photon and electron transport code to adjust the detector diameter, internal deadlayer thickness, and the effective external deadlayer thickness. Our results show that, in a well-studied situation, it is possible to use Monte Carlo calculations to aid in the determination of a Ge detector's efficiency with an accuracy of about 0.2% from 50 to 1400
keV.
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Details
- Title
- The use of Monte Carlo calculations in the determination of a Ge detector efficiency curve
- Creators
- R.G Helmer - Idaho National LaboratoryJ.C Hardy - Texas A&M UniversityV.E Iacob - Texas A&M UniversityM Sanchez-Vega - Cyclotron Institute, Texas A&M University, USAR.G Neilson - Texas A&M UniversityJ Nelson - Texas A&M University
- Publication Details
- Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment, v 511(3), pp 360-381
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000185590000008
- Scopus ID
- 2-s2.0-0141681265
- Other Identifier
- 991021863136604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Instruments & Instrumentation
- Nuclear Science & Technology
- Physics, Nuclear
- Physics, Particles & Fields