The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors
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 multipl...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Advances in High Energy Physics |
| Online Access: | http://dx.doi.org/10.1155/2013/839570 |
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| _version_ | 1832555362969976832 |
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| author | Andreea Rodica Sterian |
| author_facet | Andreea Rodica Sterian |
| author_sort | Andreea Rodica Sterian |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-db2dffc0572f4d95ad7e3f9126677e4c |
| institution | Kabale University |
| issn | 1687-7357 1687-7365 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in High Energy Physics |
| spelling | doaj-art-db2dffc0572f4d95ad7e3f9126677e4c2025-02-03T05:48:29ZengWileyAdvances in High Energy Physics1687-73571687-73652013-01-01201310.1155/2013/839570839570The Structure of an Automatic Decision System for a Large Number of Independent Particle DetectorsAndreea Rodica Sterian0Academic Center of Optical Engineering and Photonics, Polytechnic University of Bucharest, 313 Splaiul Independentei, 060042 Bucharest, RomaniaThe 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.http://dx.doi.org/10.1155/2013/839570 |
| spellingShingle | Andreea Rodica Sterian The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors Advances in High Energy Physics |
| title | The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors |
| title_full | The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors |
| title_fullStr | The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors |
| title_full_unstemmed | The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors |
| title_short | The Structure of an Automatic Decision System for a Large Number of Independent Particle Detectors |
| title_sort | structure of an automatic decision system for a large number of independent particle detectors |
| url | http://dx.doi.org/10.1155/2013/839570 |
| work_keys_str_mv | AT andreearodicasterian thestructureofanautomaticdecisionsystemforalargenumberofindependentparticledetectors AT andreearodicasterian structureofanautomaticdecisionsystemforalargenumberofindependentparticledetectors |