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Title

gamma-Ray position reconstruction in large monolithic LaCl3(Ce) crystals with SiPM readout

AuthorsBabiano, V.; Caballero Ontanaya, Luis ; Calvo, D.; Ladarescu, I.; Olleros, P.; Domingo Pardo, César
KeywordsGamma-ray
Position-sensitive detectors
Monolithic crystals
Spatial resolution
Neural networks
Issue DateJul-2019
PublisherElsevier
CitationNUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT 931: 1- 22 (2019)
AbstractWe report on the spatial response characterization of large LaCl3(Ce) monolithic crystals optically coupled to 8 x 8 pixel silicon photomultiplier (SiPM) sensors. A systematic study has been carried out for 511 keV gamma-rays using three different crystal thicknesses of 10 mm, 20 mm and 30 mm, all of them with planar geometry and a base size of 50 x 50 mm(2). In this work we investigate and compare two different approaches for the determination of the main gamma-ray hit location. On one hand, methods based on the fit of an analytical model for the scintillation light distribution provide the best results in terms of linearity and field of view, with spatial resolutions close to similar to 1 mm FWHM. On the other hand, position reconstruction techniques based on neural networks provide similar linearity and field-of-view, becoming the attainable spatial resolution similar to 3 mm FWHM. For the third space coordinate z or depth-of-interaction we have implemented an inverse linear calibration approach based on the cross-section of the measured scintillation-light distribution at a certain height. The detectors characterized in this work are intended for the development of so-called Total Energy Detectors with Compton imaging capability (i-TED), aimed at enhanced sensitivity and selectivity measurements of neutron capture cross sections via the time-of-flight (TOF) technique.
Publisher version (URL)http://dx.doi.org/10.1016/j.nima.2019.03.079
URIhttp://hdl.handle.net/10261/208884
DOI10.1016/j.nima.2019.03.079
Identifiersdoi: 10.1016/j.nima.2019.03.079
issn: 0168-9002
Appears in Collections:(IFIC) Artículos
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