Measurement and Monte Carlo simulation of steel and copper activation at the CHARM and CSBF facilities at CERN

Prediction of residual radiation levels in particle accelerator facilities is crucial to ensure their safe and continuous operation over long periods of time. At the European Organization for Nuclear Research (CERN), radiological characterization studies of activated components in experimental areas and various machines within the accelerator complex are performed with Monte Carlo radiation transport codes. To ensure the accuracy of the calculations, a comparison with the experimental data is crucial. This work investigates the induced radioactivity in selected materials commonly used in particle accelerator elements and high-energy physics detector components. Conducted at the CERN High-energy AcceleRator Mixed-field (CHARM) facility, the activation experiments focused in particular on copper and two steel alloys and the medium- to long-lived radionuclides ( 54 Mn, 57 Co, 58 Co, and 60 Co) produced within them. FLUKA Monte Carlo simulations were performed and the comparison with the experimental data showed a satisfactory agreement. • Study of activation in materials used in high-energy particle accelerators. • Experiments conducted at the CHARM and CSBF facilities at CERN. • FLUKA Monte Carlo simulations performed to predict the radionuclide inventories. • Experimental results validate simulations for radiation protection in accelerators.

Authors

Institutions

Publication Details

Journal
Radiation Physics and Chemistry
Published
2025-05-14
DOI
https://doi.org/10.1016/j.radphyschem.2025.112879
Primary Topic
Nuclear Physics and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Measurement and Monte Carlo simulation of steel and copper activation at the CHARM and CSBF facilities at CERN

Robert Froeschl, S. Roesler, Patrycja Dyrcz, Toshiya Sanami et al.
1 links
Radiation Physics and Chemistry
Nuclear Physics and Applications
article

Measurement and Monte Carlo simulation of steel and copper activation at the CHARM and CSBF facilities at CERN

Robert Froeschl, S. Roesler, Patrycja Dyrcz, Toshiya Sanami, Noriaki Nakao, N. Menaa, Marco Tisi, Markus Brugger, Arnaud Devienne, Davide Bozzato, Tommaso Lorenzon, Fabio Pozzi, Angelo Infantino
article en

Abstract

Prediction of residual radiation levels in particle accelerator facilities is crucial to ensure their safe and continuous operation over long periods of time. At the European Organization for Nuclear Research (CERN), radiological characterization studies of activated components in experimental areas and various machines within the accelerator complex are performed with Monte Carlo radiation transport codes. To ensure the accuracy of the calculations, a comparison with the experimental data is crucial. This work investigates the induced radioactivity in selected materials commonly used in particle accelerator elements and high-energy physics detector components. Conducted at the CERN High-energy AcceleRator Mixed-field (CHARM) facility, the activation experiments focused in particular on copper and two steel alloys and the medium- to long-lived radionuclides ( 54 Mn, 57 Co, 58 Co, and 60 Co) produced within them. FLUKA Monte Carlo simulations were performed and the comparison with the experimental data showed a satisfactory agreement. • Study of activation in materials used in high-energy particle accelerators. • Experiments conducted at the CHARM and CSBF facilities at CERN. • FLUKA Monte Carlo simulations performed to predict the radionuclide inventories. • Experimental results validate simulations for radiation protection in accelerators.

Radiation Physics and ChemistryVol. 236
High Energy Accelerator Research Organization (JP), Lawrence Berkeley National Laboratory (US), Shimizu (Japan) (JP), Paul Scherrer Institute (CH), European Organization for Nuclear Research (CH), Universitat Politècnica de Catalunya (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 88%
Nuclear Physics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.