Measurement of atmospheric neutrino oscillations with the ANTARES neutrino telescope

Adrián-Martínez, S.; Samarai, I. Al; Albert, A.; André, M.; Anghinolfi, M.; Anton, G.; Anvar, S.; Ardid, M.; Astraatmadja, T.; Aubert, J.J.; Baret, B.; Basa, S.; Bertín, V.; Biagi, S.; Bigongiari, C.; Bogazzi, C.; Bou-Cabo, M.; Bouhou, B.; Bouwhuis, M. C.; Brünner, J.; Busto, J.; Capone, A.; Cârloganu, C.; Carr, J.; Cecchini, S.; Charif, Z.; Charvis, Philippe; Chiarusi, T.; Circella, M.; Coniglione, R.; Core, L.; Costantini, H.; Coyle, P.; Creusot, A.; Curtil, C.; Bonis, G. De; Decowski, M. P.; Dekeyser, I.; Deschamps, A.; Distefano, C.; Donzaud, C.; Dornic, D.; Dorosti, Q.; Drouhin, D.; Eberl, T.; Emanuele, U.; Enzenhoefer, Alexander; Ernenwein, J.-P.; Escoffier, S.; Fehn, K.; Fermani, P.; Ferri, M.; Ferry, S.; Flaminio, V.; Folger, F.; Fritsch, U.; Fuda, J.-L.; Galatà, S.; Geyer, K.; Giacomelli, G.; Giordano, V.; Gleixner, A.; Gómez-González, J.; Graf, Κ.; Guillard, G.; Hallewell, G. D.; Hamal, M.; Haren, Hans van; Heijboer, A.; Hello, Y.; Hernández-Rey, J. J.; Herold, B.; Hoessl, J.; Hsu, C. C.; Jong, M. de; Kadler, M.; Kalekin, O.; Kappes, A.; Katz, U.; Kavatsyuk, O.; Kooijman, P.; Kopper, C.; Kouchner, A.; Kreykenbohm, I.; Kulikovskiy, V.; Lahmann, R.; Lambard, G.; Larosa, G.; Lattuada, D.; Lefèvre, D.; Lim, G.; Presti, D. Lo; Loehner, H.; Loucatos, S.; Louis, F.; Mangano, S.; Marcelin, M.; Margiotta, A.; Martínez-Mora, J. A.; Meli, A.; Montaruli, T.; Morganti, M.; Moscoso, L.; Motz, H.; Neff, M.; Nezri, E.; Palioselitis, D.; Păvălaş, G. E.; Payet, K.; Petrović, J.; Piattelli, P.; Popa, V.; Pradier, T.; Presani, E.; Racca, C.; Reed, C. M.; Riccobene, G.; Richardt, C.; Richter, R.; Rivière, C.; Robert, Aymeric; Roensch, K.; Rostovtsev, A.; Ruiz-Rivas, J.; Rujoiu, M.; Russo, G.; Samtleben, D. F. E.; Sánchez-Losa, A.; Sapienza, P.; Schmid, Julia; Schnabel, J.; Schoeck, F.; Schuller, J. P.; Schuessler, F.; Seitz, T.; Shanidze, R.; Simeone, F.; Spies, A.; Spurio, M.; Steijger, J. J. M.; Stolarczyk, Th.; Taiuti, M.; Tamburini, Christian; Trovato, A.; Vallage, B.; Vallée, C.; Elewyck, V. Van; Vecchi, M.; Vernin, P.; Visser, E.; Wagner, S. J.; Wijnker, G.; Wilms, J.; Wolf, E. de; Yepes, H.; Zaborov, D.; Zornoza, J.D.; Zúñiga, J.

doi:10.1016/j.physletb.2012.07.002

Cited by 78 publications

(63 citation statements)

References 22 publications

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“…ANTARES has recently proven its capability to detect atmospheric muon neutrinos with energies down to about 20 GeV, providing the first measurement of neutrino oscillation parameters obtained with a large-volume neutrino telescope [30]. IceCube has been complemented by a denser infill dubbed as DeepCore, allowing to lower its energy threshold down to about 10 GeV [31].…”

Section: Jhep04(2013)008mentioning

confidence: 99%

Mass hierarchy discrimination with atmospheric neutrinos in large volume ice/water Cherenkov detectors

Franco

Jollet

Kouchner

et al. 2013

J. High Energ. Phys.

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Large mass ice/water Cherenkov experiments, optimized to detect low energy (1-20 GeV) atmospheric neutrinos, have the potential to discriminate between normal and inverted neutrino mass hierarchies. The sensitivity depends on several model and detector parameters, such as the neutrino flux profile and normalization, the Earth density profile, the oscillation parameter uncertainties, and the detector effective mass and resolution.A proper evaluation of the mass hierarchy discrimination power requires a robust statistical approach. In this work, the Toy Monte Carlo, based on an extended unbinned likelihood ratio test statistic, was used. The effect of each model and detector parameter, as well as the required detector exposure, was then studied. While uncertainties on the Earth density and atmospheric neutrino flux profiles were found to have a minor impact on the mass hierarchy discrimination, the flux normalization, as well as some of the oscillation parameter (∆m 2 31 , θ 13 , θ 23 , and δ CP ) uncertainties and correlations resulted critical. Finally, the minimum required detector exposure, the optimization of the low energy threshold, and the detector resolutions were also investigated.

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Section: Jhep04(2013)008mentioning

confidence: 99%

Mass hierarchy discrimination with atmospheric neutrinos in large volume ice/water Cherenkov detectors

Franco

Jollet

Kouchner

et al. 2013

J. High Energ. Phys.

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“…Nevertheless, muon tracks with energies as low as 20 GeV can be reconstructed. This opens the opportunity for a measurement of neutrino oscillations using atmospheric neutrinos [5].…”

Section: Neutrino Oscillationsmentioning

confidence: 97%

Recent results from the ANTARES deep sea neutrino telescope

Coyle¹

2013

Nuclear Physics B - Proceedings Supplements

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The ANTARES deep sea neutrino telescope has acquired over four years of high quality data. This data has been used to measure the oscillation parameters of atmospheric neutrinos and also to search for neutrinos of a nonterrestrial origin. Competitive upper limits on the fluxes of neutrinos from dark matter annihilation in the Sun, a variety of Galactic and extra-galactic sources, both steady and transient, are presented.

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“…This makes the 40 K method an integral part of the time calibration procedure, as will be discussed in more detail in Sect. 5.…”

Section: K Decay Rate At the Antares Sitementioning

confidence: 99%

“…An example of this last method is offered by the searches for neutrinos in concomitance with GW170817 [4]. In addition, the ANTARES detector is used for particle physics studies, such as neutrino oscillations [5], search for magnetic monopoles [6], and indirect searches for dark matter [7,8].…”

Section: Introductionmentioning

confidence: 99%

Long-term monitoring of the ANTARES optical module efficiencies using $$^{40}\mathrm{{K}}$$ 40 K decays in sea water

et al. 2018

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Cherenkov light induced by radioactive decay products is one of the major sources of background light for deep-sea neutrino telescopes such as ANTARES. These decays are at the same time a powerful calibration source. Using data collected by the ANTARES neutrino telescope from mid 2008 to 2017, the time evolution of the photon detection efficiency of optical modules is studied. A modest loss of only 20% in 9 years is observed. The relative time calibration between adjacent modules is derived as well.

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Measurement of atmospheric neutrino oscillations with the ANTARES neutrino telescope

Cited by 78 publications

References 22 publications

Mass hierarchy discrimination with atmospheric neutrinos in large volume ice/water Cherenkov detectors

Mass hierarchy discrimination with atmospheric neutrinos in large volume ice/water Cherenkov detectors

Recent results from the ANTARES deep sea neutrino telescope

Long-term monitoring of the ANTARES optical module efficiencies using $$^{40}\mathrm{{K}}$$ 40 K decays in sea water

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