2017
DOI: 10.1103/physrevd.95.103003
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How bright can the brightest neutrino source be?

Abstract: After the discovery of extraterrestrial high-energy neutrinos, the next major goal of neutrino telescopes will be identifying astrophysical objects that produce them. The flux of the brightest source $F_{\rm max}$, however, cannot be probed by studying the diffuse neutrino intensity. We aim at constraining $F_{\rm max}$ by adopting a broken power-law flux distribution, a hypothesis supported by observed properties of any generic astrophysical sources. The first estimate of $F_{\rm max}$ comes from the fact tha… Show more

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Cited by 18 publications
(28 citation statements)
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“…The index above the break F 0 is fixed to the Euclidean value, i.e. 2.5, typical of sources that are homogenously distributed in a local volume [71,72]. This is particularly appropriate for rare emitters, as for the large-flux end of the distribution.…”
Section: B Characterization Of the New Source Classmentioning
confidence: 99%
“…The index above the break F 0 is fixed to the Euclidean value, i.e. 2.5, typical of sources that are homogenously distributed in a local volume [71,72]. This is particularly appropriate for rare emitters, as for the large-flux end of the distribution.…”
Section: B Characterization Of the New Source Classmentioning
confidence: 99%
“…This turns out to yield a significant effect on projections, which weakens sensitivity with the angular power spectrum approach compared with the earlier estimates of Ref. [30] based on analytic calculations. We use the characteristic number of sources (N ) to assess the sensitivities, which is roughly the number of neutrino sources over which the measured intensity is divided, and bright sources like BL Lacs have therefore smaller values (N = 6 × 10 2 ) than numerous, weak sources like starburst galaxies (N = 10 7 ).…”
Section: Introductionmentioning
confidence: 64%
“…The work extends fully analytic treatment of Ref. [30] by adopting more realistic simulations of the expected sky map of neutrino events of given exposure. By repeating these Monte Carlo simulations, we make error estimates more robust by taking cross correlations between different multipole bins fully into account.…”
Section: Introductionmentioning
confidence: 68%
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