Szczegóły obiektu: Artificial Neural Network as a FPGA Trigger for a Detection of Neutrino-Induced Air Showers

Instytucja dostarczająca:Repozytorium Uniwersytetu Łódzkiego

Opis

Tytuł:
Artificial Neural Network as a FPGA Trigger for a Detection of Neutrino-Induced Air Showers
Twórca:
Pytel, Krzysztof;
Głas, Dariusz;
Szadkowski, Zbigniew
Współtwórca:
Rosa, Joao Luis G.;
Uniwersytet Łódzki, Wydział Fizyki i Informatyki Stosowanej;
zszadkow@kfd2.phys.uni.lodz.pl
Opis:
Neutrinos play a fundamental role in the understanding of the origin of ultrahigh-energy cosmic rays (UHECR). They interact through charged and neutral currents in the atmosphere generating extensive air showers. However, the very low rate of events potentially generated by neutrinos is a significant challenge for detection techniques and requires both sophisticated algorithms and high-resolution hardware. We developed the FPGA trigger which is generated by a neural network. The algorithm can recognize various waveform types. It has been developed and tested on ADC traces of the Pierre Auger surface detectors. We developed the algorithm of artificial neural network on a MATLAB platform. Trained network that we implemented into the largest Cyclone V E FPGA was used for the prototype of the front-end board for the AugerPrime. We tested several variants, and the Levenberg–Marquardt algorithm (trainlm) was the most efficient. The network was trained: (a) to recognize ‘old’ very inclined showers (real Auger data were used as patterns for both positive and negative markers: for reconstructed inclined showers and for triggered by time over threshold (ToT), respectively, (b) to recognize ‘neutrino-induced showers’. Here, we used simulated data for positive markers and vertical real showers for negative ones.;
This work is supported by the National Science Centre (Poland) under NCN Grant No. 2013/08/ M/ST9/00322. The authors would like to thank the Pierre Auger Collaboration for an opportunity of using the CORSIKA and offline simulation packages.
Dostępność obiektu:
Dostęp otwarty
Prawa:
Uznanie autorstwa 4.0 Międzynarodowe;
http://creativecommons.org/licenses/by/4.0
Data:
2021.11.04;
2016
Typ:
Book chapter
Język:
angielski
Format:
application/pdf
Wydawca:
IntechOpen
Relacja:
Artificial Neural Networks - Models and Applications;6
Temat i słowa kluczowe:
FPGA;
trigger;
cosmic rays;
detection;
neural network;
neutrino;
inclined showers;
Pierre Auger Observatory
Identyfikator:
Szadkowski Z., Głas D., Pytel K., Artificial Neural Network as a FPGA Trigger for a Detection of Neutrino-Induced Air Showers [in:] Artificial Neural Networks - Models and Applications, ed. by Joao Luis G. Rosa, 2016, pp. 141-161, DOI: 10.5772/63110.;
978-953-51-2705-5;
http://hdl.handle.net/11089/39663 ;
978-953-51-4175-4;
10.5772/63110
Dostawca danych:
Repozytorium Uniwersytetu Łódzkiego

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