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The IceCube Neutrino Observatory: instrumentation and online systems
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum. Stockholms universitet, Naturvetenskapliga fakulteten, Oskar Klein-centrum för kosmopartikelfysik (OKC).
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum.
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum. Stockholms universitet, Naturvetenskapliga fakulteten, Oskar Klein-centrum för kosmopartikelfysik (OKC).
Stockholms universitet, Naturvetenskapliga fakulteten, Fysikum. Stockholms universitet, Naturvetenskapliga fakulteten, Oskar Klein-centrum för kosmopartikelfysik (OKC).
Vise andre og tillknytning
Rekke forfattare: 3522017 (engelsk)Inngår i: Journal of Instrumentation, ISSN 1748-0221, E-ISSN 1748-0221, Vol. 12, artikkel-id P03012Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The IceCube Neutrino Observatory is a cubic-kilometer-scale high-energy neutrino detector built into the ice at the South Pole. Construction of IceCube, the largest neutrino detector built to date, was completed in 2011 and enabled the discovery of high-energy astrophysical neutrinos. We describe here the design, production, and calibration of the IceCube digital optical module (DOM), the cable systems, computing hardware, and our methodology for drilling and deployment. We also describe the online triggering and data filtering systems that select candidate neutrino and cosmic ray events for analysis. Due to a rigorous pre-deployment protocol, 98.4% of the DOMs in the deep ice are operating and collecting data. IceCube routinely achieves a detector uptime of 99% by emphasizing software stability and monitoring. Detector operations have been stable since construction was completed, and the detector is expected to operate at least until the end of the next decade.

sted, utgiver, år, opplag, sider
2017. Vol. 12, artikkel-id P03012
Emneord [en]
Large detector systems for particle and astroparticle physics, Neutrino detectors, Online farms and online filtering, Trigger concepts and systems (hardware and software)
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Identifikatorer
URN: urn:nbn:se:su:diva-147200DOI: 10.1088/1748-0221/12/03/P03012ISI: 000406997600012OAI: oai:DiVA.org:su-147200DiVA, id: diva2:1142120
Tilgjengelig fra: 2017-09-18 Laget: 2017-09-18 Sist oppdatert: 2017-09-22bibliografisk kontrollert

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Ahrens, MaryonBohm, ChristianDumm, Jonathan P.Finley, ChadFlis, SamuelHulth, Per OlofHultqvist, KlasThollander, LarsWalck, ChristianWolf, MartinZoll, Marcel
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