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An algorithm for the reconstruction of high-energy neutrino-induced particle showers and its application to the ANTARES neutrino telescope.

ABSTRACT: A novel algorithm to reconstruct neutrino-induced particle showers within the ANTARES neutrino telescope is presented. The method achieves a median angular resolution of [Formula: see text] for shower energies below 100 TeV. Applying this algorithm to 6 years of data taken with the ANTARES detector, 8 events with reconstructed shower energies above 10 TeV are observed. This is consistent with the expectation of about 5 events from atmospheric backgrounds, but also compatible with diffuse astrophysical flux measurements by the IceCube collaboration, from which 2-4 additional events are expected. A [Formula: see text] C.L. upper limit on the diffuse astrophysical neutrino flux with a value per neutrino flavour of [Formula: see text] is set, applicable to the energy range from 23 TeV to 7.8 PeV, assuming an unbroken [Formula: see text] spectrum and neutrino flavour equipartition at Earth.

SUBMITTER: Albert A

PROVIDER: S-EPMC5512345 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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An algorithm for the reconstruction of high-energy neutrino-induced particle showers and its application to the ANTARES neutrino telescope.

Albert A A André M M Anghinolfi M M Anton G G Ardid M M Aubert J-J JJ Avgitas T T Baret B B Barrios-Martí J J Basa S S Bertin V V Biagi S S Bormuth R R Bourret S S Bouwhuis M C MC Bruijn R R Brunner J J Busto J J Capone A A Caramete L L Carr J J Celli S S Chiarusi T T Circella M M Coelho J A B JAB Coleiro A A Coniglione R R Costantini H H Coyle P P Creusot A A Deschamps A A De Bonis G G Distefano C C Di Palma I I Domi A A Donzaud C C Dornic D D Drouhin D D Eberl T T El Bojaddaini I I Elsässer D D Enzenhöfer A A Felis I I Folger F F Fusco L A LA Galatà S S Gay P P Giordano V V Glotin H H Grégoire T T Gracia Ruiz R R Graf K K Hallmann S S van Haren H H Heijboer A J AJ Hello Y Y Hernández-Rey J J JJ Hößl J J Hofestädt J J Hugon C C Illuminati G G James C W CW de Jong M M Jongen M M Kadler M M Kalekin O O Katz U U Kießling D D Kouchner A A Kreter M M Kreykenbohm I I Kulikovskiy V V Lachaud C C Lahmann R R Lefèvre D D Leonora E E Lotze M M Loucatos S S Marcelin M M Margiotta A A Marinelli A A Martínez-Mora J A JA Mele R R Melis K K Michael T T Migliozzi P P Moussa A A Nezri E E Organokov M M Păvălaş G E GE Pellegrino C C Perrina C C Piattelli P P Popa V V Pradier T T Quinn L L Racca C C Riccobene G G Sánchez-Losa A A Saldaña M M Salvadori I I Samtleben D F E DFE Sanguineti M M Sapienza P P Schüssler F F Sieger C C Spurio M M Stolarczyk Th T Taiuti M M Tayalati Y Y Trovato A A Turpin D D Tönnis C C Vallage B B Van Elewyck V V Versari F F Vivolo D D Vizzoca A A Wilms J J Zornoza J D JD Zúñiga J J

The European physical journal. C, Particles and fields 20170621 6

A novel algorithm to reconstruct neutrino-induced particle showers within the ANTARES neutrino telescope is presented. The method achieves a median angular resolution of [Formula: see text] for shower energies below 100 TeV. Applying this algorithm to 6 years of data taken with the ANTARES detector, 8 events with reconstructed shower energies above 10 TeV are observed. This is consistent with the expectation of about 5 events from atmospheric backgrounds, but also compatible with diffuse astroph ...[more]

PMID: 28775667

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Project description:The recent advent of tensor tomography techniques has enabled tomographic investigations of the 3D nanostructure organization of biological and material science samples. These techniques extended the concept of conventional X-ray tomography by reconstructing not only a scalar value such as the attenuation coefficient per voxel, but also a set of parameters that capture the local anisotropy of nanostructures within every voxel of the sample. Tensor tomography data sets are intrinsically large as each pixel of a conventional X-ray projection is substituted by a scattering pattern, and projections have to be recorded at different sample angular orientations with several tilts of the rotation axis with respect to the X-ray propagation direction. Currently available reconstruction approaches for such large data sets are computationally expensive. Here, a novel, fast reconstruction algorithm, named iterative reconstruction tensor tomography (IRTT), is presented to simplify and accelerate tensor tomography reconstructions. IRTT is based on a second-rank tensor model to describe the anisotropy of the nanostructure in every voxel and on an iterative error backpropagation reconstruction algorithm to achieve high convergence speed. The feasibility and accuracy of IRTT are demonstrated by reconstructing the nanostructure anisotropy of three samples: a carbon fiber knot, a human bone trabecula specimen and a fixed mouse brain. Results and reconstruction speed were compared with those obtained by the small-angle scattering tensor tomography (SASTT) reconstruction method introduced by Liebi et al. [Nature (2015), 527, 349-352]. The principal orientation of the nanostructure within each voxel revealed a high level of agreement between the two methods. Yet, for identical data sets and computer hardware used, IRTT was shown to be more than an order of magnitude faster. IRTT was found to yield robust results, it does not require prior knowledge of the sample for initializing parameters, and can be used in cases where simple anisotropy metrics are sufficient, i.e. the tensor approximation adequately captures the level of anisotropy and the dominant orientation within a voxel. In addition, by greatly accelerating the reconstruction, IRTT is particularly suitable for handling large tomographic data sets of samples with internal structure or as a real-time analysis tool during the experiment for online feedback during data acquisition. Alternatively, the IRTT results might be used as an initial guess for models capturing a higher complexity of structural anisotropy such as spherical harmonics based SASTT in Liebi et al. (2015), improving both overall convergence speed and robustness of the reconstruction.

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Dataset Information

An algorithm for the reconstruction of high-energy neutrino-induced particle showers and its application to the ANTARES neutrino telescope.

Publications

An algorithm for the reconstruction of high-energy neutrino-induced particle showers and its application to the ANTARES neutrino telescope.

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