IceCube: Multiwavelength Search for Neutrinos from Transient Point Sources
Creators
- 1. Max-Planck-Institute for Nuclear Physics, Saupfercheckweg 1, 69117 Heidelberg (Germany)
Description
In this paper we discuss the strategy developed in order to associate neutrinos with their cosmic sources using historical light curves. Periods of very intense photon activity are selected through a novel analysis approach. The statistical method called Maximum Likelihood Blocks is applied for the .rst time on light curves of high frequency blazars. In order to avoid any possible bias in the selection of periods with intense photon activity, the arrival time and incoming direction of the neutrinos are kept blinded. Following the approach here reported, neutrino fluxes below the atmospheric neutrino background level can become accessible. We report as well on a first step to establish a target-of-opportunity program based on neutrinos detected in IceCube which are used as alerting messenger particles
Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 60
- Journal Issue
- 1
- Journal Page Range
- p. 223-226
- ISSN
- 1742-6596
Conference
- Title
- TeV particle astrophysics II workshop
- Dates
- 28-31 Aug 2006
- Place
- Madison, WI (United States)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 38078446
- Subject category
- S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COSMIC NEUTRINOS; COSMIC PHOTONS; COSMIC RAY DETECTION; MAXIMUM-LIKELIHOOD FIT; NEUTRINO DETECTION; POINT SOURCES; TRANSIENTS
- Descriptors DEC
- BOSONS; COSMIC RADIATION; DETECTION; ELEMENTARY PARTICLES; FERMIONS; IONIZING RADIATIONS; LEPTONS; MASSLESS PARTICLES; MATHEMATICAL SOLUTIONS; NEUTRINOS; NUMERICAL SOLUTION; PHOTONS; RADIATION DETECTION; RADIATION SOURCES; RADIATIONS
Optional Information
- Collaborations
- IceCube Collaboration