- -

KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Diego-Tortosa, Dídac es_ES
dc.contributor.author Poirè, Chiara es_ES
dc.date.accessioned 2022-11-30T19:01:33Z
dc.date.available 2022-11-30T19:01:33Z
dc.date.issued 2022-03-18 es_ES
dc.identifier.uri http://hdl.handle.net/10251/190408
dc.description.abstract [EN] The KM3NeT collaboration is constructing two large neutrino detectors in the Mediterranean Sea: KM3NeT/ARCA, located near Sicily and aiming at neutrino astronomy, and KM3NeT/ORCA, located near Toulon and designed for neutrino oscillation studies. The two detectors, together, will have hundreds of Detection Units (DUs) with 18 Digital Optical Modules (DOMs) maintained vertical by buoyancy, forming a large 3D optical array for detecting the Cherenkov light produced by particle produced in neutrino interactions. To properly reconstruct the direction of the incoming neutrino, the position of the DOMs must be known precisely with an accuracy of less than 10 cm, and since the DUs are affected by sea current the position will be measured every 10 minutes. For this purpose, there are acoustic and orientation sensors inside the DOMs. An Attitude Heading Reference System (AHRS) chip provides the components values of the Acceleration and Magnetic field in the DOM, from which it is possible to calculate Yaw, Pitch, and Roll for each floor of the line. A piezo sensor detects the signals from fixed acoustic emitters on the sea floor, so to position it by trilateration. Data from these sensors are used as an input to reconstruct the shape of the entire line based on a DU Line Fit mechanical model. This poster presents an overview of the KM3NeT monitoring system, as well as the line fit model and its results. es_ES
dc.language Inglés es_ES
dc.publisher Sissa es_ES
dc.relation.ispartof PoS. Proceedings of Science es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.title KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.22323/1.395.1052 es_ES
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Diego-Tortosa, D.; Poirè, C. (2022). KM3NeT Detection Unit Line Fit reconstruction using positioning sensors data. PoS. Proceedings of Science. 395:1-10. https://doi.org/10.22323/1.395.1052 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.22323/1.395.1052 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 10 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 395 es_ES
dc.identifier.eissn 1824-8039 es_ES
dc.relation.pasarela S\459429 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem