TY  - JOUR
AU  - Balibrea-Correa, J.
AU  - Lerendegui-Marco, J.
AU  - Babiano-Suarez, V.
AU  - Caballero, L.
AU  - Calvo, D.
AU  - Ladarescu, I.
AU  - Olleros-Rodriguez, P.
AU  - Domingo-Pardo, C.
PY  - 2021
DA  - 2021//
TI  - Machine Learning aided 3D-position reconstruction in large LaCl3 crystals
T2  - Nucl. Instrum. Methods Phys. Res. A
JO  - Nuclear Instruments & Methods in Physics Research A
SP  - 165249
EP  - 17pp
VL  - 1001
PB  - Elsevier
KW  - Gamma-ray
KW  - Position sensitive detectors
KW  - Monolithic crystals
KW  - Compton imaging
KW  - Machine Learning
KW  - Convolutional Neural Networks
KW  - Total Energy Detector
KW  - Neutron capture cross-section
AB  - We investigate five different models to reconstruct the 3D gamma-ray hit coordinates in five large LaCl3(Ce) monolithic crystals optically coupled to pixelated silicon photomultipliers. These scintillators have a base surface of 50 x 50 mm(2) and five different thicknesses, from 10 mm to 30 mm. Four of these models are analytical prescriptions and one is based on a Convolutional Neural Network. Average resolutions close to 1-2 mm fwhm are obtained in the transverse crystal plane for crystal thicknesses between 10 mm and 20 mm using analytical models. For thicker crystals average resolutions of about 3-5 mm fwhm are obtained. Depth of interaction resolutions between 1 mm and 4 mm are achieved depending on the distance of the interaction point to the photosensor surface. We propose a Machine Learning algorithm to correct for linearity distortions and pin-cushion effects. The latter allows one to keep a large field of view of about 70%-80% of the crystal surface, regardless of crystal thickness. This work is aimed at optimizing the performance of the so-called Total Energy Detector with Compton imaging capability (i-TED) for time-of-flight neutron capture cross-section measurements.
SN  - 0168-9002
UR  - https://arxiv.org/abs/2010.13427
UR  - https://doi.org/10.1016/j.nima.2021.165249
DO  - 10.1016/j.nima.2021.165249
LA  - English
N1  - WOS:000641308300007
ID  - Balibrea-Correa_etal2021
ER  -