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Nuclear spectroscopy with GEANT4 : The superheavy challenge

Sarmiento, Luis G. LU (2016) 2016 Nobel Symposium NS 160 - Chemistry and Physics of Heavy and Superheavy Elements In Nobel Symposium NS 160 - Chemistry and Physics of Heavy and Superheavy Elements 131.
Abstract

The simulation toolkit Geant4 was originally developed at CERN for high-energy physics. Over the years it has been established as a swiss army knife not only in particle physics but it has seen an accelerated expansion towards nuclear physics and more recently to medical imaging and y- and ion-therapy to mention but a handful of new applications. The validity of Geant4 is vast and large across many particles, ions, materials, and physical processes with typically various different models to choose from. Unfortunately, atomic nuclei with atomic number Z > 100 are not properly supported. This is likely due to the rather novelty of the field, its comparably small user base, and scarce evaluated experimental data. To circumvent this... (More)

The simulation toolkit Geant4 was originally developed at CERN for high-energy physics. Over the years it has been established as a swiss army knife not only in particle physics but it has seen an accelerated expansion towards nuclear physics and more recently to medical imaging and y- and ion-therapy to mention but a handful of new applications. The validity of Geant4 is vast and large across many particles, ions, materials, and physical processes with typically various different models to choose from. Unfortunately, atomic nuclei with atomic number Z > 100 are not properly supported. This is likely due to the rather novelty of the field, its comparably small user base, and scarce evaluated experimental data. To circumvent this situation different workarounds have been used over the years. In this work the simulation toolkit Geant4 will be introduced with its different components and the effort to bring the software to the heavy and superheavy region will be described.

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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Nobel Symposium NS 160 - Chemistry and Physics of Heavy and Superheavy Elements
volume
131
publisher
EDP Sciences
conference name
2016 Nobel Symposium NS 160 - Chemistry and Physics of Heavy and Superheavy Elements
external identifiers
  • scopus:85016260566
ISBN
9782759890118
DOI
10.1051/epjconf/201613105004
language
English
LU publication?
yes
id
1175c776-5dd4-472d-b847-da582adf736e
date added to LUP
2017-04-24 14:49:50
date last changed
2017-04-24 14:49:50
@inproceedings{1175c776-5dd4-472d-b847-da582adf736e,
  abstract     = {<p>The simulation toolkit Geant4 was originally developed at CERN for high-energy physics. Over the years it has been established as a swiss army knife not only in particle physics but it has seen an accelerated expansion towards nuclear physics and more recently to medical imaging and y- and ion-therapy to mention but a handful of new applications. The validity of Geant4 is vast and large across many particles, ions, materials, and physical processes with typically various different models to choose from. Unfortunately, atomic nuclei with atomic number Z &gt; 100 are not properly supported. This is likely due to the rather novelty of the field, its comparably small user base, and scarce evaluated experimental data. To circumvent this situation different workarounds have been used over the years. In this work the simulation toolkit Geant4 will be introduced with its different components and the effort to bring the software to the heavy and superheavy region will be described.</p>},
  author       = {Sarmiento, Luis G.},
  booktitle    = {Nobel Symposium NS 160 - Chemistry and Physics of Heavy and Superheavy Elements},
  isbn         = {9782759890118},
  language     = {eng},
  month        = {12},
  publisher    = {EDP Sciences},
  title        = {Nuclear spectroscopy with GEANT4 : The superheavy challenge},
  url          = {http://dx.doi.org/10.1051/epjconf/201613105004},
  volume       = {131},
  year         = {2016},
}