Sensitivity of the IceCube detector to astrophysical sources of high energy muon neutrinos

Ahrens, J.; Bahcall, John N.; Bai, X.; Bay, R.; Becka, T.; Becker, K. H.; Berley, D.; Bernardini, E.; Bertrand, Daniel; Besson, D.; Biron, A.; Blaufuss, E.; Boersma, D. J.; Böser, S.; Böhm, C.; Botner, O.; Bouchta, A.; Bouhali, O.; Burgess, T.; Carithers, W.; Castermans, T.; Cavin, John; Chinowsky, W.; Chirkin, D.; Collin, Bertrand; Conrad, J.; Cooley, J.; Cowen, D. F.; Davour, Anna; Clercq, C. De; DeYoung, T.; Desiati, P.; Ehrlich, R.; Ellsworth, R. W.; Evenson, P. A.; Fazely, A. R.; Feser, T.; Gaisser, T. K.; Gallagher, John S.; Ganugapati, R.; Geenen, H.; Goldschmidt, A.; Goodman, J. A.; Gunasingha, R. M.; Hallgren, A.; Halzen, F.; Hanson, K.; Hardtke, R.; Hauschildt, T.; Hays, D.; Helbing, K.; Hellwig, M.; Herquet, P.; Hill, G. C.; Hubert, D.; Hughey, B.; Hulth, P. O.; Hultqvist, K.; Hundertmark, S.; Jacobsen, J.; Japaridze, G. S.; Jones, Aaron; Karle, A.; Kawai, H.; Kestel, M.; Kitamura, N.; Koch, R.; Köpke, L.; Kowalski, M.; Lamoureux, J.I.; Leich, H.; Leuthold, M.; Liubarsky, I.; Madsen, J.; Matis, H. S.; McParland, C.; Messarius, T.; Mészáros, P.; Minaeva, Y.; Minor, R.H.; Miočinović, P.; Miyamoto, H.; Morse, R.; Nahnhauer, R.; Neunhöffer, T.; Nießen, P.; Nygren, D. R.; Öğelman, H.; Olbrechts, Ph.; Patton, S.; Paulos, R.; Heros, C. Pérez de los; Pohl, A. C.; Pretz, J.; Price, P. B.; Przybylski, G. T.; Rawlins, K.; Razzaque, S.; Resconi, E.; Rhode, W.; Ribordy, M.; Richter, S.; Sander, H. G.; Schinarakis, K.; Schlenstedt, S.; Schmidt, T.; Schneider, D.; Schwarz, R.; Seckel, D.; Smith, A. J.; Solarz, M.; Spiczak, G. M.; Spiering, Christian; Stamatikos, M.; Stanev, T.; Steele, D.; Steffen, P.; Stezelberger, T.; Stokstad, R. G.; Sulanke, K.-H.; Sullivan, G. W.; Sumner, T. J.; Taboada, I.; Tilav, S.; Eijndhoven, N. van; Wagner, Wolfgang; Walck, C.; Wang, R.-R; Wiebusch, C. H.; Wiedemann, C.; Wischnewski, R.; Wissing, H.; Woschnagg, K.; Yoshida, Shigeru

doi:10.1016/j.astropartphys.2003.09.003

Cited by 374 publications

(240 citation statements)

References 29 publications

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“…In detailed simulations we compared the response of the detector to cosmic ray muons, to atmospheric neutrinos and to a hypothetical hard neutrino spectrum as generated by a shock acceleration mechanism [12]. The event rates generated by all three fluxes, normalized to one year of on-time, are listed in table 1.…”

Section: Fundamental Performance Parametersmentioning

confidence: 99%

IceCube — the next generation neutrino telescope at the South Pole

Karle¹,

Ahrens²,

Bahcall³

et al. 2003

Nuclear Physics B - Proceedings Supplements

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IceCube is a large neutrino telescope of the next generation to be constructed in the Antarctic Ice Sheet near the South Pole. We present the conceptual design and the sensitivity of the IceCube detector to predicted fluxes of neutrinos, both atmospheric and extra-terrestrial. A complete simulation of the detector design has been used to study the detector's capability to search for neutrinos from sources such as active galaxies, and gamma-ray bursts.

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Section: Fundamental Performance Parametersmentioning

confidence: 99%

IceCube — the next generation neutrino telescope at the South Pole

Karle¹,

Ahrens²,

Bahcall³

et al. 2003

Nuclear Physics B - Proceedings Supplements

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“…These 20 events were generated such that their angular distance α from the source position follows a Gaussian distribution (with standard deviation of 1 degree) convoluted with the solid angle effect. The chosen standard deviation of the Gaussian distribution is the angular uncertainty of the IceCube track reconstruction [21,23]. As we mentioned before, our test statistic is sensitive to the distribution of events as a function of the distance to the source.…”

Section: Assessment Of Significancementioning

confidence: 99%

“…To validate the analysis procedure described in this report, we use the public data [18] of the muon neutrino candidate events recorded by the IceCube Neutrino Observatory [14,21] in its 40 string configuration (IC40), that collected data during the season 2008-2009. Our analysis is performed on ten nearby blazars (a special class of AGN with one of the jets pointing in the direction of the Earth) following the approach described in the previous sections.…”

Section: On-source Measurementsmentioning

confidence: 99%

Bayesian approach for counting experiment statistics applied to a neutrino point source analysis

Bose

Brayeur

Casier

et al. 2013

Astroparticle Physics

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In this paper we present a model independent analysis method following Bayesian statistics to analyse data from a generic counting experiment and apply it to the search for neutrinos from point sources. We discuss a test statistic defined following a Bayesian framework that will be used in the search for a signal. In case no signal is found, we derive an upper limit without the introduction of approximations. The Bayesian approach allows us to obtain the full probability density function for both the background and the signal rate. As such, we have direct access to any signal upper limit. The upper limit derivation directly compares with a frequentist approach and is robust in the case of low-counting observations. Furthermore, it allows also to account for previous upper limits obtained by other analyses via the concept of prior information without the need of the ad hoc application of trial factors. To investigate the validity of the presented Bayesian approach, we have applied this method to the public IceCube 40-string configuration data for 10 nearby blazars and we have obtained a flux upper limit, which is in agreement with the upper limits determined via a frequentist approach. Furthermore, the upper limit obtained compares well with the previously published result of IceCube, using the same data set.

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“…In this case, the flux has to be constant in time to be detected either by a moving detector, or by one detector using many baselines by the rotation of the Earth. Note that the second mechanism cannot be used for the currently largest planned neutrino telescope "IceCube" [2] because it is residing at the south pole.…”

Section: Whole Earth Tomographymentioning

confidence: 99%

Neutrino Tomography – Learning About The Earth’s Interior Using The Propagation Of Neutrinos

Winter

2006

Earth Moon Planet

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Because the propagation of neutrinos is affected by the presence of Earth matter, it opens new possibilities to probe the Earth's interior. Different approaches range from techniques based upon the interaction of high energy (above TeV) neutrinos with Earth matter, to methods using the MSW effect on the oscillations of low energy (MeV to GeV) neutrinos. In principle, neutrinos from many different sources (sun, atmosphere, supernovae, beams etc.) can be used. In this talk, we summarize and compare different approaches with an emphasis on more recent developments. In addition, we point out other geophysical aspects relevant for neutrino oscillations.

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Sensitivity of the IceCube detector to astrophysical sources of high energy muon neutrinos

Cited by 374 publications

References 29 publications

IceCube — the next generation neutrino telescope at the South Pole

IceCube — the next generation neutrino telescope at the South Pole

Bayesian approach for counting experiment statistics applied to a neutrino point source analysis

Neutrino Tomography – Learning About The Earth’s Interior Using The Propagation Of Neutrinos

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