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Conference object . 2020
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Conference object . 2020
License: CC BY
Data sources: Datacite
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Other literature type . 2020
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Cherenkov/scintillation separation and performance of water-based liquid scintillator detectors.

Authors: Max Smiley; Javier Caravaca; Gabriel Orebi Gann; Benjamin Land; Zara Bagdasarian; Edith Bourret; Federico Moretti; +2 Authors

Cherenkov/scintillation separation and performance of water-based liquid scintillator detectors.

Abstract

Water-based liquid scintillator is a promising scintillation medium that would enable construction of very large scale (tens of kilotonnes) optical detectors and with enhanced separation of Cherenkov and scintillation light. This technology could yield the first large-scale scintillator detector with direction reconstruction capabilities and unprecedented particle identification. This would boost sensitivity to a wide range of physics topics, including 0νββ searches and solar neutrinos. In this poster, we present results from the characterization of water-based liquid scintillator. This is used to build a Monte Carlo model in order to predict its performance in large scale detectors. We demonstrate and quantify the separation of Cherenkov and scintillation light using cosmic muons and use it to validate our Monte Carlo model. Using this model, we estimate performance of a large-scale water-based liquid scintillator in the context of low energy neutrino physics.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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