4,901 research outputs found

    The Galactic Contribution to IceCube's Astrophysical Neutrino Flux

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    High energy neutrinos have been detected by IceCube, but their origin remains a mystery. Determining the sources of this flux is a crucial first step towards multi-messenger studies. In this work we systematically compare two classes of sources with the data: Galactic and extragalactic. We assume that the neutrino sources are distributed according to a class of Galactic models. We build a likelihood function on an event by event basis including energy, event topology, absorption, and direction information. We present the probability that each high energy event with deposited energy Edep>60E_{\rm dep}>60 TeV in the HESE sample is Galactic, extragalactic, or background. For Galactic models considered the Galactic fraction of the astrophysical flux has a best fit value of 1.3%1.3\% and is <9.5%<9.5\% at 90\% CL. A zero Galactic flux is allowed at <1σ<1\sigma.Comment: Updated with 6 year HESE data from IceCube, accepted for publication in JCA

    Activating the 4th Neutrino of the 3+1 Scheme

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    Non-Standard Interactions (NSI) of neutrinos with matter has received renewed interest in recent years. In particular, it has been shown that NSI can reconcile the 3+13+1 solution with IceCube atmospheric data with Eν>500E_\nu >500 GeV, provided that the effective coupling of NSI is large, e.g. 6GF\sim 6 G_F. The main goal of the present paper is to show that contrary to intuition, it is possible to build viable models with large NSI by invoking a new U(1)U(1) gauge symmetry with gauge boson of mass 10\sim 10 eV. We refer to these new constructions as 3+1+U(1)3+1+ U(1) models. In the framework of a 3+13+1 solution to LSND and MiniBooNE anomalies, we show that this novel NSI can help to solve the tension with cosmological bounds and constraints from IceCube atmospheric data with Eν>500E_\nu>500 GeV. We then discuss the implications of the MINOS and MINOS+ results for the 3+1+U(1)U(1) scenario.Comment: 24 pages, 5 figure

    The Effective Δmee2\Delta m^2_{ee} in Matter

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    In this paper we generalize the concept of an effective Δmee2\Delta m^2_{ee} for νe/νˉe\nu_e/\bar{\nu}_e disappearance experiments, which has been extensively used by the short baseline reactor experiments, to include the effects of propagation through matter for longer baseline νe/νˉe\nu_e/\bar{\nu}_e disappearance experiments. This generalization is a trivial, linear combination of the neutrino mass squared eigenvalues in matter and thus is not a simple extension of the usually vacuum expression, although, as it must, it reduces to the correct expression in the vacuum limit. We also demonstrated that the effective Δmee2\Delta m^2_{ee} in matter is very useful conceptually and numerically for understanding the form of the neutrino mass squared eigenstates in matter and hence for calculating the matter oscillation probabilities. Finally we analytically estimate the precision of this two-flavor approach and numerically verify that it is precise at the sub-percent level.Comment: 9 pages, 6 figures, 1 table, comments welcom

    A laminar flow model of aerosol survival of epidemic and non-epidemic strains of Pseudomonas aeruginosa isolated from people with cystic fibrosis

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    Cystic fibrosis (CF) is an inherited multi-system disorder characterised by chronic airway infection with pathogens such as Pseudomonas aeruginosa. Acquisition of P. aeruginosa by patients with CF is usually from the environment, but recent studies have demonstrated patient to patient transmission of certain epidemic strains, possibly via an airborne route. This study was designed to examine the survival of P. aeruginosa within artificially generated aerosols. Survival was effected by the solution used for aerosol generation. Within the aerosols it was adversely affected by an increase in air temperature. Both epidemic and non-epidemic strains of P. aeruginosa were able to survive within the aerosols, but strains expressing a mucoid phenotype had a survival advantage. This would suggest that segregating individuals free of P. aeruginosa from those with chronic P. aeruginosa infection who are more likely to be infected with mucoid strains may help reduce the risk of cross-infection. Environmental factors also appear to influence bacterial survival. Warming and drying the air within clinical areas and avoidance of humidification devices may also be beneficial in reducing the risk of cross-infection
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