TY  - JOUR
AU  - NEXT Collaboration (Simon, A. et al
AU  - Gomez-Cadenas, J. J.
AU  - Alvarez, V.
AU  - Benlloch-Rodriguez, J. M.
AU  - Botas, A.
AU  - Carcel, S.
AU  - Carrion, J. V.
AU  - Diaz, J.
AU  - Felkai, R.
AU  - Ferrario, P.
AU  - Laing, A.
AU  - Liubarsky, I.
AU  - Lopez-March, N.
AU  - Martin-Albo, J.
AU  - Martinez, A.
AU  - Muñoz Vidal, J.
AU  - Musti, M.
AU  - Nebot-Guinot, M.
AU  - Novella, P.
AU  - Palmeiro, B.
AU  - Perez, J.
AU  - Querol, M.
AU  - Renner, J.
AU  - Rodriguez, J.
AU  - Sorel, M.
AU  - Torrent, J.
AU  - Yahlali, N.
PY  - 2017
DA  - 2017//
TI  - Application and performance of an ML-EM algorithm in NEXT
T2  - J. Instrum.
JO  - Journal of Instrumentation
SP  - P08009 - 22pp
VL  - 12
PB  - Iop Publishing Ltd
KW  - Gaseous imaging and tracking detectors
KW  - Image reconstruction in medical imaging
KW  - Time projection Chambers (TPC)
KW  - Medical-image reconstruction methods and algorithms
KW  - computer-aided software
AB  - The goal of the NEXT experiment is the observation of neutrinoless double beta decay in Xe-136 using a gaseous xenon TPC with electroluminescent amplification and specialized photodetector arrays for calorimetry and tracking. The NEXT Collaboration is exploring a number of reconstruction algorithms to exploit the full potential of the detector. This paper describes one of them: the Maximum Likelihood Expectation Maximization (ML-EM) method, a generic iterative algorithm to find maximum-likelihood estimates of parameters that has been applied to solve many different types of complex inverse problems. In particular, we discuss a bi-dimensional version of the method in which the photosensor signals integrated over time are used to reconstruct a transverse projection of the event. First results show that, when applied to detector simulation data, the algorithm achieves nearly optimal energy resolution (better than 0.5% FWHM at the Q value of 136Xe) for events distributed over the full active volume of the TPC.
SN  - 1748-0221
UR  - http://arxiv.org/abs/1705.10270
UR  - https://doi.org/10.1088/1748-0221/12/08/P08009
DO  - 10.1088/1748-0221/12/08/P08009
LA  - English
N1  - WOS:000414159500009
ID  - NEXTCollaborationSimon_etal2017
ER  -