A fast algorithm for muon track reconstruction and its application to the ANTARES neutrino telescope

Aguilar, J. A.; Samarai, I. Al; Albert, A.; André, M.; Anghinolfi, M.; Anton, G.; Anvar, S.; Ardid, M.; Jesus, A.C. Assis; Astraatmadja, T.; Aubert, Jean-Jacques; Auer, R.; Baret, B.; Basa, S.; Bazzotti, M.; Bertín, V.; Biagi, S.; Bigongiari, C.; Bogazzi, C.; Bou-Cabo, M.; Bouwhuis, M. C.; Brown, A. M.; Brünner, J.; Busto, J.; Camarena, F.; Capone, A.; Cârloganu, C.; Carminati, G.; Carr, J.; Cecchini, S.; Charvis, Philippe; Chiarusi, T.; Circella, M.; Coniglione, R.; Costantini, H.; Cottini, N.; Coyle, P.; Curtil, C.; Decowski, M. P.; Dekeyser, I.; Deschamps, A.; Distefano, C.; Donzaud, C.; Dornic, D.; Dorosti, Q.; Drouhin, D.; Eberl, T.; Emanuele, U.; Ernenwein, J.-P.; Escoffier, S.; Fehr, F.; Flaminio, V.; Fritsch, U.; Fuda, J.-L.; Galatà, S.; Gay, P.; Giacomelli, G.; Gómez-González, J.; Graf, Κ.; Guillard, G.; Halladjian, G.; Hallewell, G.; Haren, Hans van; Heijboer, A.; Hello, Y.; Hernández-Rey, J. J.; Herold, B.; Hößl, J.; Hsu, C. C.; Jong, M. de; Kadler, M.; Kalantar‐Nayestanaki, N.; Kalekin, O.; Kappes, A.; Katz, U.; Kooijman, P.; Kopper, C.; Kouchner, A.; Kulikovskiy, V.; Lahmann, R.; Lamare, P.; Larosa, G.; Lefèvre, D.; Lim, G.; Presti, D. Lo; Loehner, H.; Loucatos, S.; Lucarelli, F.; Mangano, S.; Marcelin, M.; Margiotta, A.; Martínez-Mora, J. A.; Mazure, A.; Meli, A.; Montaruli, T.; Morganti, M.; Moscoso, L.; Motz, H.; Naumann, C.; Neff, M.; Palioselitis, D.; Păvălaş, G. E.; Payre, P.; Petrović, J.; Picot-Clémente, N.; Picq, C.; Popa, V.; Pradier, T.; Presani, E.; Racca, C.; Reed, C. M.; Riccobene, G.; Richardt, C.; Richter, R.; Rostovtsev, A.; Rujoiu, M.; Russo, G.; Salesa, F.; Sapienza, P.; Schöck, F. M.; Schuller, J.-P.; Shanidze, R.; Simeone, F.; Spiess, A.; Spurio, M.; Steijger, J. J. M.; Stolarczyk, Th.; Taiuti, M.; Tamburini, Christian; Tasca, L.; Toscano, S.; Vallage, B.; Elewyck, V. Van; Vannoni, G.; Vecchi, M.; Vernin, P.; Wijnker, G.; Wolf, E. de; Yepes, H.; Zaborov, D.; Zornoza, J.D.; Zúñiga, J.

doi:10.1016/j.astropartphys.2011.01.003

Cited by 100 publications

(78 citation statements)

References 20 publications

(14 reference statements)

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“…The event reconstruction has been done with a slightly modified version of the algorithm described in [33]. By default, it assumes that particles travel at the speed of light.…”

Section: Trigger and Reconstructionmentioning

confidence: 99%

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Search for relativistic magnetic monopoles with five years of the ANTARES detector data

Albert

André

Anghinolfi

et al. 2017

J. High Energ. Phys.

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A search for magnetic monopoles using five years of data recorded with the ANTARES neutrino telescope from January 2008 to December 2012 with a total live time of 1121 days is presented. The analysis is carried out in the range β > 0.6 of magnetic monopole velocities using a strategy based on run-by-run Monte Carlo simulations. No signal above the background expectation from atmospheric muons and atmospheric neutrinos is observed, and upper limits are set on the magnetic monopole flux ranging from 5.7 × 10 −16 to 1.5 × 10 −18 cm −2 · s −1 · sr −1 .

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“…The event reconstruction has been done with a slightly modified version of the algorithm described in [33]. By default, it assumes that particles travel at the speed of light.…”

Section: Trigger and Reconstructionmentioning

confidence: 99%

“…This variable, named α, is defined from a combination of the track fit quality parameter tχ 2 and N hit following [33]:…”

Section: Jhep07(2017)054mentioning

confidence: 99%

Search for relativistic magnetic monopoles with five years of the ANTARES detector data

Albert

André

Anghinolfi

et al. 2017

J. High Energ. Phys.

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“…The events are then reconstructed using an algorithm named BBFit, that is usually applied in the analysis of neutrino candidates [4]. Indeed, the standard track reconstruction assumes that particles travel at the speed of light.…”

Section: Monte Carlo Simulation and Reconstructionmentioning

confidence: 99%

Search for magnetic monopoles with the ANTARES neutrino telescope

Elbojaddaini¹

2016

Proceedings of the 34th International Cosmic Ray Conference — PoS(ICRC2015)

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Magnetic monopoles are hypothetical particles predicted to be created in the early Universe in the framework of Grand Unified Theories (GUTs). The signature of the passage of relativistic magnetic monopole in a Cherenkov telescope like ANTARES (Astronomy with a Neutrinos Telescope and Abyss environmental RESearch) [1] is expected to be evident and unambiguous because of the large amount of light emitted compared to that from muons.A first study has been carried out in ANTARES using a limited data set of 116 days; first upper limits on the magnetic monopoles flux were established for relativistic monopoles with ≥ 0.625. We present here an update of the analysis, using an enlarged data set (data collected from January 2008 to December 2013) and considering a wider range of values for . No monopoles have been observed, and new sensitivity has been set, for monopoles with ≥ 0.572.

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“…• ROyWeb wich is a web-based program that allows to plot monitored parameters as time series, histograms or as synoptic plots; • Rainbow Alga which is the 3D event display; • ROyFit is the fast muon reconstruction software, based on an ANTARES algorithm [13].…”

Section: The Km3net Tridasmentioning

confidence: 99%

The Trigger and Data Acquisition System for the KM3NeT neutrino telescope

Pellegrino

Chiarusi

2016

EPJ Web of Conferences

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Abstract.KM3NeT is a large research infrastructure in the Mediterranean Sea that includes a network of deep-sea neutrino telescopes. The telescopes consist of vertical detection units carrying optical modules, whose separation is optimised according to the different ranges of neutrino energy that shall be explored. Two building blocks, each one made of 115 detection units, will be deployed at the KM3NeT-IT site, about 80 km from Capo Passero, Italy, to search for high-energy neutrino sources (ARCA); another building block will be installed at the KM3NeT-Fr site, about 40 km from Toulon, France, to study the hierarchy of neutrino masses (ORCA). The modular design of the KM3NeT allows for a progressive implementation and data taking even with an incomplete detector. The same scalable design is used for the Trigger and Data Acquisition Systems (TriDAS). In order to reduce the complexity of the hardware inside the optical modules, the "all data to shore" concept is adopted. This implies that the throughput is dominated by the optical background due to the decay of 40 K dissolved in the sea water and to the bursts of bioluminescence, about 3 orders of magnitude larger than the physics signal, ranging from 20 Gbps to several hundreds Gbps, according to the number of detection units. In addition, information from the acoustic positioning system of the detection units must be transmitted. As a consequence of the detector construction, the on-shore DAQ infrastructure must be expanded to handle an increasing data-rate and implement an efficient fast data filtering for both the optical and acoustic channels. In this contribution, the Trigger and Data Acquisition System designed for the Phase 1 of KM3NeT and its future expansion are presented. The network infrastructure, the shore computing resources and the developed applications for handling, filtering and monitoring the optical and acoustic data-streams are described.

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A fast algorithm for muon track reconstruction and its application to the ANTARES neutrino telescope

Cited by 100 publications

References 20 publications

Search for relativistic magnetic monopoles with five years of the ANTARES detector data

Search for relativistic magnetic monopoles with five years of the ANTARES detector data

Search for magnetic monopoles with the ANTARES neutrino telescope

The Trigger and Data Acquisition System for the KM3NeT neutrino telescope

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