First Measurements with New High-Resolution Gadolinium-GEM Neutron Detectors
Dorothea Pfeiffer (1,2), Filippo Resnati (1,2), Jens Birch (3), Maddi, Etxegarai (1), Richard Hall-Wilton (1,4), Carina H\"oglund (1,3), Lars, Hultman (4), Isabel Llamas-Jansa (1,5), Eraldo Oliveri (2), Esko Oksanen (1),, Linda Robinson (1), Leszek Ropelewski (2)

TL;DR
This paper reports the first successful operation of a gadolinium-based GEM neutron detector achieving high spatial resolution and efficiency, suitable for advanced neutron detection in large-scale scientific instruments.
Contribution
It introduces a novel gadolinium-GEM detector with demonstrated high spatial resolution and efficiency, extending the TC analysis to gadolinium for the first time.
Findings
Achieved neutron detection efficiency of 11.8% at 2 AA wavelength.
Demonstrated position resolution better than 250 b5m.
Successfully operated a gadolinium-GEM detector in a neutron beam.
Abstract
European Spallation Source instruments like the macromolecular diffractometer, NMX, require an excellent neutron detection efficiency, high-rate capabilities, time resolution, and an unprecedented spatial resolution in the order of a few hundred micrometers over a wide angular range of the incoming neutrons. For these instruments solid converters in combination with Micro Pattern Gaseous Detectors (MPGDs) are a promising option. A GEM detector with gadolinium converter was tested on a cold neutron beam at the IFE research reactor in Norway. The {\mu}TPC analysis, proven to improve the spatial resolution in the case of B converters, is extended to gadolinium based detectors. For the first time, a Gd-GEM was successfully operated to detect neutrons with a measured efficiency of 11.8% at a wavelength of 2 {\AA} and a position resolution better than 250 {\mu}m.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
