Geo-neutrinos: a new probe of Earth's interior
arXiv:physics/0508019 · doi:10.1016/j.epsl.2005.06.061
Abstract
In preparation to the experimental results which will be available in the future, we study geo-neutrino production for different models of mantle convection and composition. By using global mass balance for the Bulk Silicate Earth, the predicted flux contribution from distant sources in the crust and in the mantle is fixed within a total uncertainty of +-15%. We also discuss regional effects, provided by subducting slabs or plumes near the detector. In four years a five-kton detector operating at a site relatively far from nuclear power plants can achieve measurements of the geo-neutrino signal accurate to within +-5%. It will provide a crucial test of the Bulk Silicate Earth and a direct estimate of the radiogenic contribution to terrestrial heat.
arXiv comment19 pages, 6 tables, 7 figures; accepted for publication in Earth and Planetary Science Letters
References in corpus (7)
- Direct Evidence for Neutrino Flavor Transformation from Neutral-Current Interactions in the Sudbury Neutrino Observatory
- First Results from KamLAND: Evidence for Reactor Anti-Neutrino Disappearance
- Science and Technology of BOREXINO: A Real Time Detector for Low Energy Solar Neutrinos SOLAR NEUTRINOS
- Reactor-based Neutrino Oscillation Experiments
- Antineutrinos from Earth: A reference model and its uncertainties
- Antineutrino Geophysics with Liquid Scintillator Detectors
- KamLAND, terrestrial heat sources and neutrino oscillations
Cited by in corpus (7)
- Geo-neutrinos
- Potential of a Neutrino Detector in the ANDES Underground Laboratory for Geophysics and Astrophysics of Neutrinos
- Probing the Earth's interior with a large-volume liquid scintillator detector
- Search for electron antineutrino interactions with the Borexino Counting Test Facility at Gran Sasso
- Non-negligible Oscillation Effects in the Crustal Geo-neutrino Calculations
- Considerations For a Dedicated Geoneutrino Detector For Geosciences
- Geo-neutrinos: A systematic approach to uncertainties and correlations