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Quantifying the Unknown: Issues in Simulation Validation and Their Experimental Impact

Year: 2012

Type: book-chapter

Abstract: The assessment of the reliability of Monte Carlo simulations is discussed, with emphasis on uncertainty quantification and the related impact on experimental results. Methods and techniques to account for epistemic uncertainties, i.e. for intrinsic knowledge gaps in physics modeling, are discussed with the support of applications to concrete experimental scenarios. Ongoing projects regarding the investigation of epistemic uncertainties in the Geant4 simulation toolkit are reported.

Source: Astroparticle, particle, space physics, radiation interaction, detectors and medical physics applications

DOI: 10.1142/9789814405072_0155

Authors: M. G. PIA, M. BATIČ, G. HOFF, P. SARACCO, M. BEGALLI, M. HAN, C. H KIM, H. SEO, S. HAUF, M. KUSTER, L. QUINTIERI, G. WEIDENSPOINTNER, A. ZOGLAUER

Language: English

Topic: Simulation Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W1671758092

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