Detection potential of the KM3NeT detector for high-energy neutrinos from the Fermi bubbles

S. Adrián-Martínez M. Ageron 1 J.A. Aguilar F. Aharonian S. Aiello A. Albert M. Alexandri F. Ameli E.G. Anassontzis M. Anghinolfi G. Anton S. Anvar M. Ardid A. Assis Jesus J.-J. Aubert 2 R. Bakker A.E. Ball G. Barbarino E. Barbarito F. Barbato B. Baret M. De Bel A. Belias N. Bellou E. Berbee A. Berkien A. Bersani V. Bertin S. Beurthey 1 S. Biagi C. Bigongiari B. Bigourdan M. Billault 1 R. De Boer 3, 4, 5, 6 H. Boer Rookhuizen M. Bonori M. Borghini 7 M. Bou-Cabo B. Bouhadef G. Bourlis M. Bouwhuis S. Bradbury A. Brown 8 F. Bruni 9 J. Brunner M. Brunoldi J. Busto G. Cacopardo L. Caillat 1 D. Calvo Díaz-Aldagalán A. Calzas 1 M. Canals 10 A. Capone J. Carr E. Castorina S. Cecchini A. Ceres R. Cereseto Th. Chaleil F. Chateau 11 T. Chiarusi D. Choqueuse P.E. Christopoulou G. Chronis O. Ciaffoni M. Circella R. Cocimano F. Cohen 12 F. Colijn R. Coniglione M. Cordelli A. Cosquer 1 M. Costa P. Coyle J. Craig A. Creusot C. Curtil 1 A. D’amico G. Damy 13 R. De Asmundis G. De Bonis G. Decock P. Decowski E. Delagnes 14 G. De Rosa C. Distefano C. Donzaud D. Dornic Q. Dorosti-Hasankiadeh J. Drogou D. Drouhin F. Druillole 14 L. Drury 15 D. Durand G.A. Durand 16 T. Eberl U. Emanuele A. Enzenhöfer J.-P. Ernenwein S. Escoffier V. Espinosa G. Etiope 17 P. Favali D. Felea 18 M. Ferri 19, 20 S. Ferry 21 V. Flaminio F. Folger A. Fotiou U. Fritsch D. Gajanana R. Garaguso G.P. Gasparini 22 F. Gasparoni V. Gautard F. Gensolen 1 K. Geyer G. Giacomelli I. Gialas V. Giordano J. Giraud 23 N. Gizani A. Gleixner C. Gojak 24 J.P. Gómez-González K. Graf D. Grasso A. Grimaldi 25 R. Groenewegen Z. Guédé G. Guillard F. Guilloux 11 R. Habel G. Hallewell 1 H. Van Haren 26 J. Van Heerwaarden A. Heijboer E. Heine J.J. Hernández-Rey B. Herold T. Hillebrand M. Van de Hoek J. Hogenbirk J. Hößl C.C. Hsu M. Imbesi A. Jamieson P. Jansweijer M. De Jong F. Jouvenot M. Kadler N. Kalantar-Nayestanaki 27 O. Kalekin A. Kappes M. Karolak U.F. Katz O. Kavatsyuk P. Keller Y. Kiskiras R. Klein H. Kok H. Kontoyiannis P. Kooijman J. Koopstra C. Kopper A. Korporaal P. Koske A. Kouchner S. Koutsoukos I. Kreykenbohm V. Kulikovskiy M. Laan C. La Fratta P. Lagier 1 R. Lahmann P. Lamare 1 G. Larosa D. Lattuada A. Leisos D. Lenis E. Leonora H. Le Provost G. Lim C.D. Llorens 28 J. Lloret 29 H. Löhner D. Lo Presti P. Lotrus 30 F. Louis 31 F. Lucarelli 32 V. Lykousis 33 D. Malyshev S. Mangano E.C. Marcoulaki A. Margiotta G. Marinaro A. Marinelli O. Mariş E. Markopoulos C. Markou J.A. Martínez-Mora A. Martini J. Marvaldi 34 R. Masullo G. Maurin P. Migliozzi E. Migneco S. Minutoli A. Miraglia C.M. Mollo M. Mongelli E. Monmarthe 11 M. Morganti S. Mos H. Motz Y. Moudden G. Mul P. Musico M. Musumeci Ch. Naumann 35 M. Neff C. Nicolaou A. Orlando D. Palioselitis K. Papageorgiou A. Papaikonomou R. Papaleo I.A. Papazoglou 36 G.E. Păvălaş H.Z. Peek J. Perkin P. Piattelli V. Popa T. Pradier E. Presani I.G. Priede A. Psallidas C. Rabouille 37 C. Racca A. Radu N. Randazzo P.A. Rapidis P. Razis D. Real C. Reed S. Reito L.K. Resvanis G. Riccobene R. Richter K. Roensch J. Rolin 38 J. Rose 39 J. Roux A. Rovelli A. Russo G.V. Russo 40 F. Salesa D. Samtleben P. Sapienza J.-W. Schmelling J. Schmid J. Schnabel K. Schroeder J.-P. Schuller F. Schussler D. Sciliberto M. Sedita T. Seitz R. Shanidze F. Simeone I. Siotis V. Sipala C. Sollima S. Sparnocchia A. Spies M. Spurio T. Staller S. Stavrakakis 41 G. Stavropoulos J. Steijger Th. Stolarczyk D. Stransky M. Taiuti A. Taylor L. Thompson P. Timmer D. Tonoiu S. Toscano C. Touramanis L. Trasatti P. Traverso A. Trovato A. Tsirigotis S. Tzamarias E. Tzamariudaki F. Urbano B. Vallage V. Van Elewyck G. Vannoni M. Vecchi P. Vernin 42 S. Viola D. Vivolo S. Wagner P. Werneke R.J. White G. Wijnker J. Wilms E. De Wolf H. Yepes V. Zhukov E. Zonca J.D. Zornoza J. Zúñiga
12 ARAMIS - Algorithms, models and methods for images and signals of the human brain
Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6, ICM - Institut du Cerveau et de la Moëlle Epinière
Abstract : A recent analysis of the Fermi Large Area Telescope data provided evidence for a high-intensity emission of high-energy gamma rays with a E^-2 spectrum from two large areas, spanning 50{\deg} above and below the Galactic centre (the "Fermi bubbles"). A hadronic mechanism was proposed for this gamma-ray emission making the Fermi bubbles promising source candidates of high-energy neutrino emission. In this work Monte Carlo simulations regarding the detectability of high-energy neutrinos from the Fermi bubbles with the future multi-km^3 neutrino telescope KM3NeT in the Mediterranean Sea are presented. Under the hypothesis that the gamma-ray emission is completely due to hadronic processes, the results indicate that neutrinos from the bubbles could be discovered in about one year of operation, for a neutrino spectrum with a cutoff at 100 TeV and a detector with about 6 km^3 of instrumented volume. The effect of a possible lower cutoff is also considered.
Document type :
Journal articles
Astroparticle Physics, Elsevier, 2013, 42, pp.7-14. <10.1016/j.astropartphys.2012.11.010>


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S. Adrián-Martínez, M. Ageron, J.A. Aguilar, F. Aharonian, S. Aiello, et al.. Detection potential of the KM3NeT detector for high-energy neutrinos from the Fermi bubbles. Astroparticle Physics, Elsevier, 2013, 42, pp.7-14. <10.1016/j.astropartphys.2012.11.010>. <in2p3-00730989>

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