Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies
Correlations and clustering are of great importance in the study of the Nuclear Equation of State. Information on these items/aspects can be obtained using heavy-ion reactions which are described by dynamical theories. We propose a dataset that will be useful for improving the description of light c...
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2021-08-01
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doaj-7e37594565e74e118ece2b03a66c2f802021-08-26T14:23:55ZengMDPI AGSymmetry2073-89942021-08-01131406140610.3390/sym13081406Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev EnergiesRémi Bougault0Bernard Borderie1Abdelouahad Chbihi2Quentin Fable3John David Frankland4Emmanuelle Galichet5Tom Genard6Diégo Gruyer7Maxime Henri8Marco La Commara9Nicolas Le Neindre10Ivano Lombardo11Olivier Lopez12Marian Pârlog13Piotr Pawłowski14Giuseppe Verde15Emmanuel Vient16Mariano Vigilante17Normandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceUniversité Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, FranceGrand Accélérateur National d’Ions Lourds (GANIL), CEA/DRF-CNRS/IN2P3, 14076 Caen, FranceNormandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceGrand Accélérateur National d’Ions Lourds (GANIL), CEA/DRF-CNRS/IN2P3, 14076 Caen, FranceUniversité Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, FranceGrand Accélérateur National d’Ions Lourds (GANIL), CEA/DRF-CNRS/IN2P3, 14076 Caen, FranceNormandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceGrand Accélérateur National d’Ions Lourds (GANIL), CEA/DRF-CNRS/IN2P3, 14076 Caen, FranceDipartimento di Fisica ’E. Pancini’ and Sezione INFN, Universitá di Napoli ’Federico II’, 80126 Naples, ItalyNormandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceIstituto Nazionale di Fisica Nucleare (INFN), Sezione di Catania, 95123 Catania, ItalyNormandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceNormandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceInstitute of Nuclear Physics, Polish Academy of Sciences, 31-342 Krakow, PolandIstituto Nazionale di Fisica Nucleare (INFN), Sezione di Catania, 95123 Catania, ItalyNormandie University, ENSICAEN, UNICAEN, CNRS/IN2P3, LPC, 14050 Caen, FranceDipartimento di Fisica ’E. Pancini’ and Sezione INFN, Universitá di Napoli ’Federico II’, 80126 Naples, ItalyCorrelations and clustering are of great importance in the study of the Nuclear Equation of State. Information on these items/aspects can be obtained using heavy-ion reactions which are described by dynamical theories. We propose a dataset that will be useful for improving the description of light cluster production in transport model approaches. The dataset combines published and new data and is presented in a form that allows direct comparison of the experiment with theoretical predictions. The dataset is ranging in bombarding energy from 32 to 1930 A MeV. In constructing this dataset, we put in evidence the existence of a change in the light cluster production mechanism that corresponds to a peak in deuteron production.https://www.mdpi.com/2073-8994/13/8/1406nuclear physicsheavy-ion reactionsNuclear Equation of Statelight cluster productiontransport models |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rémi Bougault Bernard Borderie Abdelouahad Chbihi Quentin Fable John David Frankland Emmanuelle Galichet Tom Genard Diégo Gruyer Maxime Henri Marco La Commara Nicolas Le Neindre Ivano Lombardo Olivier Lopez Marian Pârlog Piotr Pawłowski Giuseppe Verde Emmanuel Vient Mariano Vigilante |
spellingShingle |
Rémi Bougault Bernard Borderie Abdelouahad Chbihi Quentin Fable John David Frankland Emmanuelle Galichet Tom Genard Diégo Gruyer Maxime Henri Marco La Commara Nicolas Le Neindre Ivano Lombardo Olivier Lopez Marian Pârlog Piotr Pawłowski Giuseppe Verde Emmanuel Vient Mariano Vigilante Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies Symmetry nuclear physics heavy-ion reactions Nuclear Equation of State light cluster production transport models |
author_facet |
Rémi Bougault Bernard Borderie Abdelouahad Chbihi Quentin Fable John David Frankland Emmanuelle Galichet Tom Genard Diégo Gruyer Maxime Henri Marco La Commara Nicolas Le Neindre Ivano Lombardo Olivier Lopez Marian Pârlog Piotr Pawłowski Giuseppe Verde Emmanuel Vient Mariano Vigilante |
author_sort |
Rémi Bougault |
title |
Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies |
title_short |
Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies |
title_full |
Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies |
title_fullStr |
Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies |
title_full_unstemmed |
Light Cluster Production in Central Symmetric Heavy-Ion Reactions from Fermi to Gev Energies |
title_sort |
light cluster production in central symmetric heavy-ion reactions from fermi to gev energies |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2021-08-01 |
description |
Correlations and clustering are of great importance in the study of the Nuclear Equation of State. Information on these items/aspects can be obtained using heavy-ion reactions which are described by dynamical theories. We propose a dataset that will be useful for improving the description of light cluster production in transport model approaches. The dataset combines published and new data and is presented in a form that allows direct comparison of the experiment with theoretical predictions. The dataset is ranging in bombarding energy from 32 to 1930 A MeV. In constructing this dataset, we put in evidence the existence of a change in the light cluster production mechanism that corresponds to a peak in deuteron production. |
topic |
nuclear physics heavy-ion reactions Nuclear Equation of State light cluster production transport models |
url |
https://www.mdpi.com/2073-8994/13/8/1406 |
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