The IAEA electronic stopping power database: modernization, review, and analysis of the existing experimental data

Fuente: arXiv
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Autori principali: Montanari, C. C., Dimitriou, P., Marian, L., Mendez, A. M. P., Peralta, J. P., Bivort-Haiek, F.
Natura: Preprint
Pubblicazione: 2024
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author Montanari, C. C.
Dimitriou, P.
Marian, L.
Mendez, A. M. P.
Peralta, J. P.
Bivort-Haiek, F.
author_facet Montanari, C. C.
Dimitriou, P.
Marian, L.
Mendez, A. M. P.
Peralta, J. P.
Bivort-Haiek, F.
contents We review the electronic stopping power data within the IAEA database, assessing the abundance and scarcity of available data as a function of energy and collisional systems. Our analysis includes an examination of the experimental values, their evolution in time, the dispersion among data, and trends of the more recent measurements. Additionally, we provide comparisons with SRIM-2013 calculations for select cases of interest. Notably, we identify sparsely measured systems and energy regions, emphasizing the pressing need for new, reliable data and independent theoretical predictions.
format Preprint
id arxiv_https___arxiv_org_abs_2402_03080
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle The IAEA electronic stopping power database: modernization, review, and analysis of the existing experimental data
Montanari, C. C.
Dimitriou, P.
Marian, L.
Mendez, A. M. P.
Peralta, J. P.
Bivort-Haiek, F.
Atomic and Molecular Clusters
Data Analysis, Statistics and Probability
We review the electronic stopping power data within the IAEA database, assessing the abundance and scarcity of available data as a function of energy and collisional systems. Our analysis includes an examination of the experimental values, their evolution in time, the dispersion among data, and trends of the more recent measurements. Additionally, we provide comparisons with SRIM-2013 calculations for select cases of interest. Notably, we identify sparsely measured systems and energy regions, emphasizing the pressing need for new, reliable data and independent theoretical predictions.
title The IAEA electronic stopping power database: modernization, review, and analysis of the existing experimental data
topic Atomic and Molecular Clusters
Data Analysis, Statistics and Probability
url https://arxiv.org/abs/2402.03080