A Segmented Total Energy Detector (sTED) optimized for (n,) cross-section measurements at n_TOF EAR2

n_TOF Collaboration, C. Lederer-Woods, N.V. Sosnin, P. J. Woods

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

The neutron time-of-flight facility n_TOF at CERN is a spallation source dedicated to measurements of neutron-induced reaction cross-sections of interest in nuclear technologies, astrophysics, and other applications. Since
2014, Experimental ARea 2 (EAR2) is operational and delivers a neutron fluence of ∼ 4 ⋅ 107 neutrons per nominal proton pulse, which is ∼50 times higher than the one of Experimental ARea 1 (EAR1) of ∼ 8 ⋅ 105 neutrons per pulse. The high neutron flux at EAR2 results in high counting rates in the detectors that challenged the previously existing capture detection systems. For this reason, a Segmented Total Energy Detector (sTED) has been developed to overcome the limitations in the detector’s response, by reducing the active volume
per module and by using a photo-multiplier (PMT) optimized for high counting rates. This paper presents the main characteristics of the sTED, including energy and time resolution, response to 𝛾-rays, and provides as well details of the use of the Pulse Height Weighting Technique (PHWT) with this detector. The sTED has been validated to perform neutron-capture cross-section measurements in EAR2 in the neutron energy range from thermal up to at least 400 keV. The detector has already been successfully used in several measurements at n_TOF EAR2.
Original languageEnglish
Article number111525
Pages (from-to)1-11
Number of pages11
JournalRadiation physics and chemistry
Volume217
Early online date9 Jan 2024
DOIs
Publication statusPublished - 1 Apr 2024

Keywords / Materials (for Non-textual outputs)

  • Neutron capture
  • PHWT
  • Scintillation detectors
  • Monte Carlo simulation

Fingerprint

Dive into the research topics of 'A Segmented Total Energy Detector (sTED) optimized for (n,) cross-section measurements at n_TOF EAR2'. Together they form a unique fingerprint.

Cite this