The Weighting Resistive Matrix for Real Time Data Filtering in Large Detectors

Experimental High Energy Physics pioneered in facing the problem of managing, large data flows smartly and in real time. Very large volume experiments searching for rare events such as DUNE (Deep Underground Neutrino Experiment) may produce an extremely high data flow with a complex data model. In t...

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Detalles Bibliográficos
Autores principales: Abdallah, A, Aielli, G, Cardarelli, R, Manca, M, Nessi, M, Sala, P, Whitehead, L H
Lenguaje:eng
Publicado: 2018
Materias:
Detectors and Experimental Techniques
Data Analysis and Statistics
Acceso en línea:https://dx.doi.org/10.1007/978-981-13-1313-4_14
http://cds.cern.ch/record/2643546
Descripción
Sumario:Experimental High Energy Physics pioneered in facing the problem of managing, large data flows smartly and in real time. Very large volume experiments searching for rare events such as DUNE (Deep Underground Neutrino Experiment) may produce an extremely high data flow with a complex data model. In this paper, we propose to overcome the real time computing limitations by introducing a novel technology, the WRM (Weighting Resistive Matrix).

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