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Neutrino Astrophysics with the ANTARES Telescope

  • Book
  • © 2015

Overview

Authors:
  1. Vladimir Kulikovskiy

    1. physics department, Università degli Studi di Genova, Genoa, Italy

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  • Nominated as an outstanding Ph.D. thesis by the University of Genoa, Italy
  • Presents an overview of modern high-energy neutrino astrophysics
  • Outlines the best neutrino flux limits for the Fermi bubble regions
  • Provides an overview of the statistical approaches for the analyses with the off-zones
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Theses (Springer Theses)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction

    • Vladimir Kulikovskiy
    Pages 1-23

  3. The ANTARES Detector

    • Vladimir Kulikovskiy
    Pages 25-48

  4. Simulation of the ANTARES Detector Work

    • Vladimir Kulikovskiy
    Pages 49-69

  5. Event Reconstruction and Data Selection

    • Vladimir Kulikovskiy
    Pages 71-88

  6. A Search for Neutrino Emission from the Fermi Bubbles

    • Vladimir Kulikovskiy
    Pages 89-113

  7. Back Matter

    Pages 115-119
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Keywords

About this book

This thesis is devoted to ANTARES, the first underwater neutrino telescope in the Mediterranean sea. As the main scientific analysis, a search for high-energy neutrino emission from the region of the Fermi bubbles has been performed using data from the ANTARES detector. A method for the background estimation using off-zones has been developed specially for this measurement. A new likelihood for the limits calculation which treats both observations in the on-zone and in the off-zone in the similar way and also includes different systematic uncertainties has been constructed. The analysis of 2008–2011 ANTARES data yielded a 1.2 σ  excess of events in the Fermi bubble regions, compatible with the no-signal hypothesis. For the optimistic case of no energy cutoff in the flux, the upper limit is within a factor of three of the prediction of the purely hadronic model based on the measured gamma-ray flux. The sensitivity improves as more data are accumulated (more than 65% gain in the sensitivity is expected once 2012–2016 data are added to the analysis).

Authors and Affiliations

  • physics department, Università degli Studi di Genova, Genoa, Italy

    Vladimir Kulikovskiy

About the author

2006 – 2008 Master thesis, Moscow State University. KM3NeT detector simulations.
2009 – 2011 INFN fellow, Genoa. Supernova detection with ANTARES.
2011 –  2013 PhD thesis, Genoa & Paris VII. Fermi bubbles analysis with the ANTARES data. Neutrino mass hierarchy study with ORCA.
2014 – 2015 INFN Postdoc, Laboratori Nazionali del Sud. KM3NeT detector construction & tests. KM3NeT sensitivity to Dark Matter.

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