@article{manfredi_adamek_brown_brubaker_cabrera-palmer_cates_dorrill_druetzler_elam_feng_et al._2020, title={The Single-Volume Scatter Camera}, volume={11494}, ISBN={["978-1-5106-3794-8"]}, ISSN={["1996-756X"]}, DOI={10.1117/12.2569995}, abstractNote={The multi-institution Single-Volume Scatter Camera (SVSC) collaboration led by Sandia National Laboratories (SNL) is developing a compact, high-efficiency double-scatter neutron imaging system. Kinematic emission imaging of fission-energy neutrons can be used to detect, locate, and spatially characterize special nuclear material. Neutron-scatter cameras, analogous to Compton imagers for gamma ray detection, have a wide field of view, good event-by-event angular resolution, and spectral sensitivity. Existing systems, however, suffer from large size and/or poor efficiency. We are developing high-efficiency scatter cameras with small form factors by detecting both neutron scatters in a compact active volume. This effort requires development and characterization of individual system components, namely fast organic scintillators, photodetectors, electronics, and reconstruction algorithms. In this presentation, we will focus on characterization measurements of several SVSC candidate scintillators. The SVSC collaboration is investigating two system concepts: the monolithic design in which isotropically emitted photons are detected on the sides of the volume, and the optically segmented design in which scintillation light is channeled along scintillator bars to segmented photodetector readout. For each of these approaches, we will describe the construction and performance of prototype systems. We will conclude by summarizing lessons learned, comparing and contrasting the two system designs, and outlining plans for the next iteration of prototype design and construction.}, journal={HARD X-RAY, GAMMA-RAY, AND NEUTRON DETECTOR PHYSICS XXII}, author={Manfredi, Juan and Adamek, Evan and Brown, Joshua A. and Brubaker, Erik and Cabrera-Palmer, Belkis and Cates, Joshua W. and Dorrill, Ryan and Druetzler, Andrew and Elam, Jeff and Feng, Patrick L. and et al.}, year={2020} }