Report/Journal Article PUBDB-2017-06386

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Muon track reconstruction and data selection techniques in AMANDA

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2004
North-Holland Publ. Co. Amsterdam

Nuclear instruments & methods in physics research / A 524(1-3), 169 - 194 () [10.1016/j.nima.2004.01.065]
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Report No.: astro-ph/0407044

Abstract: The Antarctic Muon And Neutrino Detector Array (AMANDA) is a high-energy neutrino telescope operating at the geographic South Pole. It is a lattice of photo-multiplier tubes buried deep in the polar ice between 1500m and 2000m. The primary goal of this detector is to discover astrophysical sources of high energy neutrinos. A high-energy muon neutrino coming through the earth from the Northern Hemisphere can be identified by the secondary muon moving upward through the detector. The muon tracks are reconstructed with a maximum likelihood method. It models the arrival times and amplitudes of Cherenkov photons registered by the photo-multipliers. This paper describes the different methods of reconstruction, which have been successfully implemented within AMANDA. Strategies for optimizing the reconstruction performance and rejecting background are presented. For a typical analysis procedure the direction of tracks are reconstructed with about 2 degree accuracy.

Keyword(s): neutrino: cosmic radiation ; muon: showers ; Cherenkov counter: water ; solids: water ; photomultiplier ; muon: track data analysis ; statistical analysis ; muon: background ; AMANDA ; bibliography

Classification:

Note: Standort Zeuthen

Contributing Institute(s):
  1. DESY Retrocat (DESY(-2012))
Research Program(s):
  1. 899 - ohne Topic (POF3-899) (POF3-899)
Experiment(s):
  1. Antarctic Muon And Neutrino Detector Array

Database coverage:
Medline ; Current Contents - Engineering, Computing and Technology ; Current Contents - Physical, Chemical and Earth Sciences ; Ebsco Academic Search ; IF < 5 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2017-06-29, last modified 2025-07-31


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