Distributed Imaging for Liquid Scintillation Detectors
Jacopo Dalmasson, Giorgio Gratta, Ako Jamil, Scott Kravitz, Milad, Malek, Kevin Wells, Julie Bentley, Samuel Steven, Jiani Su

TL;DR
This paper introduces a new distributed imaging approach for liquid scintillation detectors, enabling event imaging and background discrimination in photon-starved regimes using specialized optics and reconstruction software.
Contribution
It demonstrates that appropriate optics and segmentation can produce images in large, photon-starved scintillation detectors, enabling event discrimination previously thought impossible.
Findings
Distributed imaging improves event discrimination.
Simulation shows effective performance with practical optics.
Technique adaptable to various detector sizes.
Abstract
We discuss a novel paradigm in the optical readout of scintillation radiation detectors. In one common configuration, such detectors are homogeneous and the scintillation light is collected and recorded by external photodetectors. It is usually assumed that imaging in such a photon-starved and large-emittance regime is not possible. Here we show that the appropriate optics, matched with highly segmented photodetector coverage and dedicated reconstruction software, can be used to produce images of the radiation-induced events. In particular, such a 'distributed imaging' system can discriminate between events produced as a single cluster and those resulting from more delocalized energy depositions. This is crucial in discriminating many common backgrounds at MeV energies. With the use of simulation, we demonstrate the performance of a detector augmented with a practical, if preliminary,…
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