Methods, techniques and recent results in Monte Carlo simulation validation for sensitive applications

Authors :: Tullio Basaglia
Paolo Saracco
Marcia Begalli
Maria Grazia Pia
Chansoo Choi
Elisabetta Ronchieri
Sung Hun Kim
Min Cheol Han
Francesco Giacomini
Gabriela Hoff
Han Sung Kim
Chan Hyeong Kim
Source :: 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC).
Publication Year :: 2015
Publisher :: IEEE, 2015.
Abstract: Concepts, methods and tools relevant to assessing the reliability of Monte Carlo simulation in sensitive experimental applications are briefly reviewed. An overview of ongoing research in the domain of simulation validation and related activities, such as software quality evaluation and uncertainty quantification, is summarized.

Subjects :: Software
business.industry
Computer science
Monte Carlo method
Systems engineering
Verification and validation of computer simulation models
Uncertainty quantification
Iec standards
business
Reliability (statistics)
Software quality
Domain (software engineering)

Database :: OpenAIRE
Journal :: 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
Accession number :: edsair.doi...........bc374cce548413a3116bfa47565cee1f
Full Text :: https://doi.org/10.1109/nssmic.2015.7582001

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