1. Characterization of the astrophysical diffuse neutrino flux using starting track events in IceCube
- Author
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Abbasi, R, Ackermann, M, Adams, J, Agarwalla, SK, Aguilar, JA, Ahlers, M, Alameddine, JM, Amin, NM, Andeen, K, Anton, G, Argüelles, C, Ashida, Y, Athanasiadou, S, Ausborm, L, Axani, SN, Bai, X, Balagopal, A, Baricevic, M, Barwick, SW, Bash, S, Basu, V, Bay, R, Beatty, JJ, Tjus, J Becker, Beise, J, Bellenghi, C, Benning, C, BenZvi, S, Berley, D, Bernardini, E, Besson, DZ, Blaufuss, E, Blot, S, Bontempo, F, Book, JY, Meneguolo, C Boscolo, Böser, S, Botner, O, Böttcher, J, Braun, J, Brinson, B, Brostean-Kaiser, J, Brusa, L, Burley, RT, Busse, RS, Butterfield, D, Campana, MA, Caracas, I, Carloni, K, Carpio, J, Chattopadhyay, S, Chau, N, Chen, Z, Chirkin, D, Choi, S, Clark, BA, Coleman, A, Collin, GH, Connolly, A, Conrad, JM, Coppin, P, Corley, R, Correa, P, Cowen, DF, Dave, P, De Clercq, C, DeLaunay, JJ, Delgado, D, Deng, S, Deoskar, K, Desai, A, Desiati, P, de Vries, KD, de Wasseige, G, DeYoung, T, Diaz, A, Díaz-Vélez, JC, Dittmer, M, Domi, A, Draper, L, Dujmovic, H, DuVernois, MA, Ehrhardt, T, Eidenschink, L, Eimer, A, Eller, P, Ellinger, E, Mentawi, S El, Elsässer, D, Engel, R, Erpenbeck, H, Evans, J, Evenson, PA, Fan, KL, Fang, K, Farrag, K, Fazely, AR, Fedynitch, A, Feigl, N, and Fiedlschuster, S
- Subjects
Nuclear and Plasma Physics ,Particle and High Energy Physics ,Physical Sciences - Abstract
A measurement of the diffuse astrophysical neutrino spectrum is presented using IceCube data collected from 2011-2022 (10.3 years). We developed novel detection techniques to search for events with a contained vertex and exiting track induced by muon neutrinos undergoing a charged-current interaction. Searching for these starting track events allows us to not only more effectively reject atmospheric muons but also atmospheric neutrino backgrounds in the southern sky, opening a new window to the sub-100 TeV astrophysical neutrino sky. The event selection is constructed using a dynamic starting track veto and machine learning algorithms. We use this data to measure the astrophysical diffuse flux as a single power law flux (SPL) with a best-fit spectral index of γ=2.58-0.09+0.10 and per-flavor normalization of φper-flavorAstro=1.68-0.22+0.19×10-18×GeV-1 cm-2 s-1 sr-1 (at 100 TeV). The sensitive energy range for this dataset is 3-550 TeV under the SPL assumption. This data was also used to measure the flux under a broken power law, however we did not find any evidence of a low energy cutoff.
- Published
- 2024