Angular power spectrum analysis on current and future high-energy neutrino data

Dekker, Ariane; Ando, Shinʼichiro

doi:10.1088/1475-7516/2019/02/002

Cited by 16 publications

(14 citation statements)

References 52 publications

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“…However, due to the uncertainties present, there is still a long tail in the joint distribution out to n 0 ∼10 −10 Mpc −3 and L∼5×10 44 ergs −1 . The constraints that we find for n 0 are similar to those reported using an angular power spectrum analysis in Dekker and Ando [50].…”

Section: Ntotsupporting

confidence: 88%

Bayesian constraints on the astrophysical neutrino source population from IceCube data

2020

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We present constraints on an astrophysical population of neutrino sources imposed by recent data from the IceCube neutrino observatory. By using the IceCube point source search method to model the detection of sources, our detection criterion is more sensitive than using the observation of high-energy neutrino multiplets for source identification. We frame the problem as a Bayesian hierarchical model to connect the high-level population parameters to the IceCube data, allowing us to consistently account for all relevant sources of uncertainty in our model assumptions. Our results show that sources with a local density of n 0 ≳ 10 −7 Mpc −3 and luminosity L ≲ 10 43 erg s −1 are the most likely candidates, but that populations of rare sources with n 0 ≃ 10 −9 Mpc −3 and L ≃ 10 45 erg s −1 can still be consistent with the IceCube observations. We demonstrate that these conclusions are strongly dependent on the source evolution considered, for which we consider a wide range of models. In doing so, we present realistic, modelindependent constraints on the population parameters that reflect our current state of knowledge from astrophysical neutrino observations. We also use our framework to investigate constraints in the case of possible source detections and future instrument upgrades. Our approach is flexible and can be used to model specific source cases and extended to include multimessenger information.

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Section: Ntotsupporting

confidence: 88%

Bayesian constraints on the astrophysical neutrino source population from IceCube data

2020

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“…This distribution has to be computed in the case of events distributed according to the background plus signal case 2 . The likelihood is assumed to take the multi-Poissonian form (21). If we call Λ the likelihood ratio, its distribution in the vicinity of the maximum can be well approximated by a Gaussian with a mean value of:Λ…”

Section: High Energy Gamma From Decaying Dark Matter: Background Cmentioning

confidence: 99%

Decaying dark matter at IceCube and its signature on High Energy gamma experiments

Chianese

Fiorillo

Miele

et al. 2019

J. Cosmol. Astropart. Phys.

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The origin of neutrino flux observed in IceCube is still mainly unknown. Typically two flux components are assumed, namely: atmospheric neutrinos and an unknown astrophysical term. In principle the latter could also contain a top-down contribution coming for example from decaying dark matter. In this case one should also expect prompt and secondary gamma's as well. This leads to the possibility of a multimessenger analysis based on the simultaneous comparison of the Dark Matter hypothesis both with neutrino and high energy gamma rays data. In this paper, we analyze, for different decaying Dark Matter channels, the 7.5 years IceCube HESE data, and compare the results with previous exclusion limits coming from Fermi data. Finally, we test whether the Dark Matter hypothesis could be further scrutinised by using forthcoming high energy gamma rays experiments. * m.chianese@uva.nl † dfgfiorillo@na.infn.it ‡ miele@na.infn.it § smorisi@na.infn.t ¶ a hard isotropic extragalactic neutrino flux and an additional softer one with a potential galactic origin [27][28][29][30][31][32][33]. This two-component hypothesis is at the same time supported by the first combined analysis of IceCube and ANTARES data [34]. It turns out that both IceCube and ANTARES telescopes have measured in the same energy range (about 40-200 TeV) a slight excess with respect to an astrophysical power-law flux deduced by TG data (γ ≤ 2.2), after the background subtraction [34][35][36][37].An alternative source for this diffuse UHE neutrino flux is decaying Dark Matter (DM) . While another available source might be identified with annihilating DM [33,35,39,[63][64][65][66][67], the unitarity limit leads in general to small neutrinos fluxes which are therefore not detectable. Bounds are available in previous studies both for decaying [68,69] and annihilating DM [70,71]. Analyses mainly devoted to the neutrino energy spectrum are able to distinguish among different DM decay channels. Moreover, different DM models are further constrained through the informations coming from gamma-ray observations. The current data (neutrinos and gamma-rays) show that hadronic final states are strongly disfavored or excluded, while leptonic ones are slightly disfavored or allowed [72]. The most favorable case is a heavy DM candidate coupled only to neutrinos.The foregoing observations have shown that gamma-rays constraints, mainly coming from observations of the Fermi-LAT experiment, have been critical in excluding or disfavoring various DM decay channels. It is therefore all the more interesting to find out whether gamma-rays experiments in different energy ranges would be able to put further constraints on the existence of decaying DM fluxes. While the lower energy range (up to few hundreds GeV) is mainly explored by Fermi LAT [73], the higher energy range (from about 100 TeV) is explored by air shower experiments [74] and has already been used in exploring constraints on annihilating or decaying Dark Matter through data by Pierre Auger [75], CASA-MIA [76] and KASCADE [77];...

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“…Moreover, we can set stringent constraints on the contribution of bright sources such as BL Lacs and FSRQs in future if not observed individually. If, however, we do observe clustering of events in future, we can constrain the contribution of less bright sources like starburst galaxies, and the exclusion tendencies will change as can be found in [7], where we also discuss the detectability of different source classes. We find comparable exclusion trends for IceCube-Gen2 and KM3NeT, which is probably due to the effective area of IceCube-Gen2 being 10 times larger while the angular resolution is improved by a factor of 10 of KM3NeT.…”

Section: Resultsmentioning

confidence: 95%

Interpreting the high-energy neutrino sky through an angular power spectrum analysis

Dekker¹,

Ando²,

Chianese³

2021

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

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Angular power spectrum analysis on current and future high-energy neutrino data

Cited by 16 publications

References 52 publications

Bayesian constraints on the astrophysical neutrino source population from IceCube data

Bayesian constraints on the astrophysical neutrino source population from IceCube data

Decaying dark matter at IceCube and its signature on High Energy gamma experiments

Interpreting the high-energy neutrino sky through an angular power spectrum analysis

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