Application of artificial neural network in 3D imaging with lanthanum bromide calorimeter

A. Gostojic 1 V. Tatischeff 1 J. Kiener 1 C. Hamadache 1 N. Karkour 2 D. Linget 2 X. Grave 3 L. Gibelin 2 B. Travers 2 S. Blin 4 P. Barrillon 4
1 CSNSM AN
CSNSM - Centre de Spectrométrie Nucléaire et de Spectrométrie de Masse, CSNSM - Centre de Sciences Nucléaires et de Sciences de la Matière
2 CSNSM ELEC
CSNSM - Centre de Spectrométrie Nucléaire et de Spectrométrie de Masse
3 CSNSM INFOR
CSNSM - Centre de Spectrométrie Nucléaire et de Spectrométrie de Masse
Abstract : Gamma-ray astronomy in the energy range from 0.1 up to 100 MeV holds many understudied questions connected with e.g. stellar nucleosynthesis, the active Sun, neutron stars and black holes. To access the physics behind, a significant improvement in detection sensitivity is needed compared to previous missions, e.g. CGRO and INTEGRAL. One of the promising concepts for a future gamma-ray mission is an Advanced Compton Telescope. Under the project of creating a prototype of such instrument, we study the perspectives of using a novel inorganic scintillator as a calorimeter part. Modern inorganic crystal or ceramics scintillators are constantly improving on qualities such as energy resolution and radiation hardness, and this makes them a smart choice for a new space-borne telescope. At CSNSM Orsay, we have assembled a detection module from a View the MathML source5×5cm2 area and 1 cm thick, cerium-doped lanthanum (III) bromide (LaBr3:Ce) inorganic scintillator coupled to a 64 channel multi-anode photomultiplier. The readout of the PMT signals is carried out with the ASIC MAROC, used previously for the luminometer of the ATLAS detector (CERN). Characterization, thorough measurements with various radioactive sources, as well as, single photoelectron detection have been done. Furthermore, we made a comparison of measurements with a detailed GEANT4-based simulation which includes tracking of the optical photons. Finally, we have studied the 3D reconstruction of the first interaction point of incident gamma rays, utilizing a neural network algorithm. This spatial position resolution plays a crucial part in the future implementations and, together with the other measured properties, it makes our detector module very interesting for the next generation of space telescopes operating in the MeV range.
Type de document :
Communication dans un congrès
7th International Conference on New Developments in Photodetection (NDIP 14), Jun 2014, Tours, France. Elsevier, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 787, pp.140-143, 2015, 〈10.1016/j.nima.2014.11.076〉
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Soumis le : lundi 15 décembre 2014 - 15:31:18
Dernière modification le : mardi 29 mai 2018 - 16:04:01

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A. Gostojic, V. Tatischeff, J. Kiener, C. Hamadache, N. Karkour, et al.. Application of artificial neural network in 3D imaging with lanthanum bromide calorimeter. 7th International Conference on New Developments in Photodetection (NDIP 14), Jun 2014, Tours, France. Elsevier, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 787, pp.140-143, 2015, 〈10.1016/j.nima.2014.11.076〉. 〈in2p3-01095405〉

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