@Article{NEXTCollaborationSimon_etal2017,
author="NEXT Collaboration (Simon, A. et al
and Gomez-Cadenas, J. J.
and Alvarez, V.
and Benlloch-Rodriguez, J. M.
and Botas, A.
and Carcel, S.
and Carrion, J. V.
and Diaz, J.
and Felkai, R.
and Ferrario, P.
and Laing, A.
and Liubarsky, I.
and Lopez-March, N.
and Martin-Albo, J.
and Martinez, A.
and Mu{\~{n}}oz Vidal, J.
and Musti, M.
and Nebot-Guinot, M.
and Novella, P.
and Palmeiro, B.
and Perez, J.
and Querol, M.
and Renner, J.
and Rodriguez, J.
and Sorel, M.
and Torrent, J.
and Yahlali, N.",
title="Application and performance of an ML-EM algorithm in NEXT",
journal="Journal of Instrumentation",
year="2017",
publisher="Iop Publishing Ltd",
volume="12",
pages="P08009 - 22pp",
optkeywords="Gaseous imaging and tracking detectors; Image reconstruction in medical imaging; Time projection Chambers (TPC); Medical-image reconstruction methods and algorithms; computer-aided software",
abstract="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.",
optnote="WOS:000414159500009",
optnote="exported from refbase (https://references.ific.uv.es/refbase/show.php?record=3358), last updated on Mon, 15 Jun 2020 09:36:45 +0000",
issn="1748-0221",
doi="10.1088/1748-0221/12/08/P08009",
opturl="http://arxiv.org/abs/1705.10270",
opturl="https://doi.org/10.1088/1748-0221/12/08/P08009",
archivePrefix="arXiv",
eprint="1705.10270",
language="English"
}