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Towards a new generation of solid total-energy detectors for neutron-capture time-of-flight experiments with intense neutron beams
/ Balibrea-Correa, J. (Valencia U. ; Valencia U., IFIC) ; Babiano-Suarez, V. (Valencia U. ; Barcelona, Polytechnic U.) ; Lerendegui-Marco, J. (Valencia U. ; Valencia U., IFIC) ; Domingo-Pardo, C. (Valencia U. ; Valencia U., IFIC) ; Ladarescu, I. (Valencia U. ; Valencia U., IFIC) ; Tarifeño-Saldivia, A. (Valencia U. ; Valencia U., IFIC) ; de la Fuente-Rosales, G. (Valencia U. ; Valencia U., IFIC) ; Gameiro, B. (Valencia U. ; Valencia U., IFIC) ; Zaitseva, N. (LLNL, Livermore) ; Alcayne, V. (Madrid, CIEMAT) et al.
Challenging neutron-capture cross-section measurements of small cross sections and samples with a very limited number of atoms require high-flux time-of-flight facilities. In turn, such facilities need innovative detection setups that are fast, have low sensitivity to neutrons, can quickly recover from the so-called $\gamma$-flash, and offer the highest possible detection sensitivity. [...]
arXiv:2411.18969.-
2024-11-30 - 24 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 1072 (2025) 170110
Fulltext: Publication - PDF; 2411.18969 - PDF;
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n_TOF Detector Developments
/ Patronis, Nikolas ; Aberle, Oliver ; Alcayne, Victor ; Alpar, Genevieve ; Al Halabi, Muaz ; Amaducci, Simone ; Babiano, Victor ; Bacak, Michael ; Balibrea-Correa, Javier ; Bartolomé, Jesús et al.
In this report, the ongoing developments of the n_TOF detectors are presented. The document describes the capabilities related to new research avenues and perspectives in new physics research with the n_TOF collaboration. [...]
n_TOF-PUB-2024-001; CERN-n_TOF-PUB-2024-001.-
Geneva : CERN, 2024 - 10 p.
Fulltext: PDF;
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A Case Study on Deep Learning applied to Capture Cross Section Data Analysis
/ Sanchez-Caballero, Adrian (Madrid, CIEMAT) ; Alcayne, Víctor (Madrid, CIEMAT) ; Cano-Ott, Daniel (Madrid, CIEMAT) ; Mendoza, Emilio (Madrid, CIEMAT) ; Pérez de Rada, Alberto (Madrid, CIEMAT)
/n_TOF Collaboration
A good data analysis of neutron cross section measurements is necessary for generating high quality and reliable nuclear databases. Artificial intelligence techniques, and in particular deep learning, have proven to be very useful for pattern recognition and data analysis, and thus may be used in the field of experimental nuclear physics. [...]
2023
- Published in : EPJ Web Conf. 284 (2023) 16001
Publication: PDF;
In : 15th International Conference on Nuclear Data for Science and Technology, Online, 21 - 29 Jul 2022, pp.16001
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Compton imaging for enhanced sensitivity (n,γ) cross section TOF experiments: Status and prospects
/ n_TOF Collaboration
Radiative neutron-capture cross sections are of pivotal importance in many fields such as nucle-osynthesis studies or innovative reactor technologies. A large number of isotopes have been measured with high accuracy, but there are still a large number of relevant isotopes whose cross sections could not be experimentally determined yet, at least with sufficient accuracy and completeness, owing to limitations in detection techniques, sample production methods or in the facilities themselves.In the context of the HYMNS (High-sensitivitY Measurements of key stellar Nucleo-Synthesis reactions) project over the last six years we have developed a novel detection technique aimed at background suppression in radiative neutron-capture time-of-flight measurements. [...]
2023 - 5 p.
- Published in : EPJ Web Conf. 284 (2023) 01018
Fulltext: PDF;
In : 15th International Conference on Nuclear Data for Science and Technology, Online, 21 - 29 Jul 2022, pp.01018
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Multi-section fission ionization chamber for measurement of 239Pu(n,γ) reaction in fission tagging method
/ Perkowski, J (Lodz U.) ; Alcayne, V (Madrid, CIEMAT) ; Andrzejewski, J (Lodz U.) ; Cano-Ott, D (Madrid, CIEMAT) ; Gawlik-Ramięga, A (Lodz U.) ; Mendoza, E (Madrid, CIEMAT) ; Sánchez-Caballero, A (Madrid, CIEMAT) ; Sibbens, G (Geel, JRC) ; Vanleeuw, D (Geel, JRC) ; Aberle, O (CERN) et al.
The 239Pu(n,γ) reaction cross section is very important for operation of both thermal and fast reactors, when loaded with MOX fuels. According to the NEA/OECD High Priority Request List the precision of cross section data for this reaction should be improved. [...]
2024 - 8 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 1067 (2024) 169649
Fulltext: PDF;
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Pushing the high count rate limits of scintillation detectors for challenging neutron-capture experiments
/ Balibrea-Correa, J. (Valencia U. ; Valencia U., IFIC) ; Lerendegui-Marco, J. (Valencia U. ; Valencia U., IFIC) ; Babiano-Suarez, V. (Valencia U. ; Valencia U., IFIC) ; Domingo-Pardo, C. (Valencia U. ; Valencia U., IFIC) ; Ladarescu, I. (Valencia U. ; Valencia U., IFIC) ; Tarifeño-Saldivia, A. (Valencia U. ; Valencia U., IFIC) ; Fuente-Rosales, G. De La ; Alcayne, V. (Madrid, CIEMAT) ; Cano-Ott, D. (Madrid, CIEMAT) ; González-Romero, E. (Madrid, CIEMAT) et al.
One of the critical aspects for the accurate determination of neutron capture cross sections when combining time-of-flight and total energy detector techniques is the characterization and control of systematic uncertainties associated to the measuring devices. In this work we explore the most conspicuous effects associated to harsh count rate conditions: dead-time and pile-up effects. [...]
arXiv:2311.01365.-
2024-04-25 - 13 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 1064 (2024) 169385
Fulltext: 2311.01365 - PDF; Publication - PDF;
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High precision $^{209}$Bi($n$,$\gamma$) cross section measurement at n_TOF EAR2
/ Balibrea-Correa, Javier (Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain) ; Domingo-Pardo, César (Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain) ; de la Fuente, Gabriel (Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain) ; Lerendegui-Marco, Jorge (Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain) ; Gameiro, Bernardo (Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain) ; Tarifeño-Saldivia, Ariel (Instituto de Física Corpuscular, CSIC - Universidad de Valencia, Spain) ; Babiano-Suárez, Victor (Universitat de València, Spain) ; Calviño, Francisco (Universitat Politècnica de Catalunya, Spain) ; Casanovas, Adrià (Universitat Politècnica de Catalunya, Spain) ; Cortes, Guillem (Universitat Politècnica de Catalunya, Spain) et al.
CERN-INTC-2023-061 ; INTC-P-675.
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2023.
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