%0 Journal Article
%T Application and performance of an ML-EM algorithm in NEXT
%A NEXT Collaboration (Simon, A. et al
%A Gomez-Cadenas, J. J.
%A Alvarez, V.
%A Benlloch-Rodriguez, J. M.
%A Botas, A.
%A Carcel, S.
%A Carrion, J. V.
%A Diaz, J.
%A Felkai, R.
%A Ferrario, P.
%A Laing, A.
%A Liubarsky, I.
%A Lopez-March, N.
%A Martin-Albo, J.
%A Martinez, A.
%A Muñoz Vidal, J.
%A Musti, M.
%A Nebot-Guinot, M.
%A Novella, P.
%A Palmeiro, B.
%A Perez, J.
%A Querol, M.
%A Renner, J.
%A Rodriguez, J.
%A Sorel, M.
%A Torrent, J.
%A Yahlali, N.
%J Journal of Instrumentation
%D 2017
%V 12
%I Iop Publishing Ltd
%@ 1748-0221
%G English
%F NEXTCollaborationSimon_etal2017
%O WOS:000414159500009
%O exported from refbase (https://references.ific.uv.es/refbase/show.php?record=3358), last updated on Mon, 15 Jun 2020 09:36:45 +0000
%X 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.
%K Gaseous imaging and tracking detectors
%K Image reconstruction in medical imaging
%K Time projection Chambers (TPC)
%K Medical-image reconstruction methods and algorithms
%K computer-aided software
%R 10.1088/1748-0221/12/08/P08009
%U http://arxiv.org/abs/1705.10270
%U https://doi.org/10.1088/1748-0221/12/08/P08009
%P P08009 - 22pp