This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Improved BAND-GEM detector
Abstract: Most neutron detection systems at spallation sources are based on 3Hedetectors that have an excellent intrinsic efficiency (>70% for thermal neutrons) andcan cover large areas (several m2). Nevertheless the production of 3He from tritiumdecay has declined as the nuclear weapons stockpile has been reduced. This has led toa substantial increase of the 3Heprice preventing its extensive use for researchapplications including future neutron sources such as the European Spallation Source(ESS). Besides the need for replacing 3He,it is essential to develop high-rate neutrondetectors that can fully exploit the increase of neutron flux of ESS compared topresent-day sources. Thus, it is necessary to develop a large area and high-rateneutron detector that does not use 3Hebut has a comparable detection efficiency, anaffordable price and a space resolution of 1-100 mm.
Principal Investigator: Professor Gabriele Croci
Experimenter: Dr Enrico Perelli Cippo
Experimenter: Dr Marco Tardocchi
Experimenter: Professor Massimo Nocente
Experimenter: Dr Andrea Muraro
Experimenter: Dr Giuliano Angella
Experimenter: Dr Antonella Scherillo
Experimenter: Professor Giuseppe Gorini
Experimenter: Dr Davide Raspino
DOI: 10.5286/ISIS.E.RB1800039
ISIS Experiment Number: RB1800039
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.88895954 | INES | 15 October 2020 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
out more about it.
Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Gabriele Croci et al; (2017): Improved BAND-GEM detector, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1800039
Data is released under the CC-BY-4.0 license.