Event reconstruction in NEW using a ML-EM algorithm

Ander Simón Estévez, Christoph Lerche

Research output: Contribution to journalConference articlepeer-review

Abstract

The NEXT collaboration aims to observe the neutrinoless double beta decay (ββ0v) of 136Xe. If exisiting, the rareness of this decay demands an exceptional background rejection. This can be obtained with an excellent energy resolution, which has been already demonstrated in NEXT prototypes. In addition to this, any additional tool that can improve background rejection is of extreme utility. Neutrinoless double beta decay in xenon gas produces a characteristic topological signal that can be used as an extremely useful extra handle to veto background events. Therefore, for NEXT, the capability of having track reconstruction is of great value. This need for a satisfactory topology reconstruction has led the NEXT Collaboration to implement the Maximum Likelihood Expectation Maximization algorithm (ML-EM) in the data processing scheme. ML-EM is a generic iterative algorithm for solving many kinds of inverse problems which has never been applied before to a time projection chamber. Early results and performance of the method in the collaboration current running detector, NEW, shows promising track reconstruction while offering a resolution better than 0.5% for energy depostions of energy equal to the Qββ value for 136Xe.

Original languageEnglish
JournalProceedings of Science
VolumePart F128556
StatePublished - 1 Jan 2016
Externally publishedYes
Event38th International Conference on High Energy Physics, ICHEP 2016 - Chicago, United States
Duration: 3 Aug 201610 Aug 2016

ASJC Scopus subject areas

  • General

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