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Advances in High Energy PhysicsVolume 2013 2013, Article ID 839570, 6 pages

Research ArticleAcademic Center of Optical Engineering and Photonics, Polytechnic University of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania

Received 27 December 2012; Accepted 1 March 2013

Academic Editor: Bogdan Mitrica

Copyright © 2013 Andreea Rodica Sterian. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The interest for large underground particle detector is increasing. Phenomena as proton decay and long base line neutrino oscillation are subject for many research projects over the world. Large detectors present also some problems regarding the large number of signals from independent photo multiplier tubes PMTs. A realistic statistical model for numerical simulation of signal processing and sampling has been developed for the case of a large number of independent particle detectors LNIPDs. Based on this analytical model of Poisson type, the structure of an automatic decision system based on the decision criterion of maximum a posteriori probability MAP or the maximum likelihood ML criterion is proposed. The purpose of the system is to analyze the exit from the measurement process and to decode the message transmitted, taking into account the presence of the noise which generates errors in the decoder. The system can be used later for detailed simulation of different types of huge underground particle detectors like LAGUNA-LBNO experiment, where the large number of signals could become a real problem.

Author: Andreea Rodica Sterian



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