| Issue |
EPJ Web Conf.
Volume 338, 2025
ANIMMA 2025 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
|---|---|---|
| Article Number | 10013 | |
| Number of page(s) | 8 | |
| Section | Current Trends in Development Radiation Detectors | |
| DOI | https://doi.org/10.1051/epjconf/202533810013 | |
| Published online | 06 November 2025 | |
https://doi.org/10.1051/epjconf/202533810013
A Novel Measurement Setup for the Data Acquisition and Evaluation for Hydrogen-Filled Proportional Detectors and Stilbene Scintillation Detectors
Chair of Hydrogen and Nuclear Energy, Dresden University of Technology, Germany
* This email address is being protected from spambots. You need JavaScript enabled to view it.
‡ R. Reisdorf, now at Helmholtz-Zentrum Dresden-Rossendorf, 01328 Dresden, Germany
Published online: 6 November 2025
Abstract
Within the framework of the NAUTILUS research project, the fast neutron spectrum of the Training Reactor AKR-2 at the Dresden University of Technology is being determined with proton recoil detectors. Hereby, two different detector technologies are utilized for the evaluation of different energy ranges of fast neutrons: Hydrogen-filled proportional detectors for energies from a few to roughly 1500 keV, and stilbene scintillation detectors for energies above 1 MeV. This publication presents the data acquisition system neXmess for both detector types currently in development and its implementation in the measurement chain at the AKR-2. Therefore, recent experimental results – functionality test results of the data acquisition system, exemplary pulses, pulse shape discrimination histograms and detector characterization results for hydrogen-filled proportional detectors – are being presented.
Key words: neutron spectrum / fast neutrons / data acquisition systems / neutron detectors / hydrogen-filled proportional detectors / stilbene scintillation detectors
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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