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Quantifying the Unknown
The issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposition profile of low energy protons. A variety of electromagnetic and hadronic physics models is investigated, and their...
Autores principales: | , , , , , |
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Lenguaje: | eng |
Publicado: |
2010
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1109/NSSMIC.2010.5873735 http://cds.cern.ch/record/1311962 |
_version_ | 1780921274146488320 |
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author | Pia, Maria Grazia Batic, Matej Begalli, Marcia Lechner, Anton Quintieri, Lina Saracco, Paolo |
author_facet | Pia, Maria Grazia Batic, Matej Begalli, Marcia Lechner, Anton Quintieri, Lina Saracco, Paolo |
author_sort | Pia, Maria Grazia |
collection | CERN |
description | The issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposition profile of low energy protons. A variety of electromagnetic and hadronic physics models is investigated, and their effects are analyzed. Possible systematic effects are highlighted. The results identify requirements for experimental measurements capable of reducing epistemic uncertainties in the simulation. |
id | cern-1311962 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2010 |
record_format | invenio |
spelling | cern-13119622023-03-15T19:12:08Zdoi:10.1109/NSSMIC.2010.5873735http://cds.cern.ch/record/1311962engPia, Maria GraziaBatic, MatejBegalli, MarciaLechner, AntonQuintieri, LinaSaracco, PaoloQuantifying the UnknownOther Fields of PhysicsThe issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposition profile of low energy protons. A variety of electromagnetic and hadronic physics models is investigated, and their effects are analyzed. Possible systematic effects are highlighted. The results identify requirements for experimental measurements capable of reducing epistemic uncertainties in the simulation.The issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposition profile of low energy protons. A variety of electromagnetic and hadronic physics models is investigated, and their effects are analyzed. Possible systematic effects are highlighted. The results identify requirements for experimental measurements capable of reducing epistemic uncertainties in the simulation.The issue of how epistemic uncertainties affect the outcome of Monte Carlo simulation is discussed by means of a concrete use case: the simulation of the longitudinal energy deposition profile of low energy protons. A variety of electromagnetic and hadronic physics models is investigated, and their effects are analyzed. Possible systematic effects are highlighted. The results identify requirements for experimental measurements capable of reducing epistemic uncertainties in the simulation.arXiv:1012.0665oai:cds.cern.ch:13119622010-12-06 |
spellingShingle | Other Fields of Physics Pia, Maria Grazia Batic, Matej Begalli, Marcia Lechner, Anton Quintieri, Lina Saracco, Paolo Quantifying the Unknown |
title | Quantifying the Unknown |
title_full | Quantifying the Unknown |
title_fullStr | Quantifying the Unknown |
title_full_unstemmed | Quantifying the Unknown |
title_short | Quantifying the Unknown |
title_sort | quantifying the unknown |
topic | Other Fields of Physics |
url | https://dx.doi.org/10.1109/NSSMIC.2010.5873735 http://cds.cern.ch/record/1311962 |
work_keys_str_mv | AT piamariagrazia quantifyingtheunknown AT baticmatej quantifyingtheunknown AT begallimarcia quantifyingtheunknown AT lechneranton quantifyingtheunknown AT quintierilina quantifyingtheunknown AT saraccopaolo quantifyingtheunknown |