12 research outputs found
Frequency of the canine leucocyte adhesion deficiency (CLAD) mutation among Irish red setters in Germany
Mechanical stratigraphy and structural control of oil accumulations in fractured carbonates of the Irati Formation, Paraná Basin, Brazil
Real-time supernova neutrino burst monitor at Super-Kamiokande
We present a real-time supernova neutrino burst monitor at Super-Kamiokande
(SK). Detecting supernova explosions by neutrinos in real time is crucial for
giving a clear picture of the explosion mechanism. Since the neutrinos are
expected to come earlier than light, a fast broadcasting of the detection may
give astronomers a chance to make electromagnetic radiation observations of the
explosions right at the onset. The role of the monitor includes a fast
announcement of the neutrino burst detection to the world and a determination
of the supernova direction. We present the online neutrino burst detection
system and studies of the direction determination accuracy based on simulations
at SK.Comment: 15 pages, 8 figures, accepted for publication in Astroparticle
Physic
Neutron tagging following atmospheric neutrino events in a water Cherenkov detector
International audienceWe present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimated to be 26%, with a mis-tag rate of 0.016 per neutrino event. The uncertainty of the tagging efficiency is estimated to be 9.0%. Measurement of the tagging efficiency with data from an Americium-Beryllium calibration agrees with this value within 10%. The tagging procedure was performed on 3,244.4 days of SK-IV atmospheric neutrino data, identifying 18,091 neutrons in 26,473 neutrino events. The fitted neutron capture lifetime was measured as 218±9 μs
Neutron Tagging following Atmospheric Neutrino Events in a Water Cherenkov Detector
International audienceWe present the development of neutron-tagging techniques in Super-Kamiokande IV using a neural network analysis. The detection efficiency of neutron capture on hydrogen is estimated to be 26%, with a mis-tag rate of 0.016 per neutrino event. The uncertainty of the tagging efficiency is estimated to be 9.0%. Measurement of the tagging efficiency with data from an Americium-Beryllium calibration agrees with this value within 10%. The tagging procedure was performed on 3,244.4 days of SK-IV atmospheric neutrino data, identifying 18,091 neutrons in 26,473 neutrino events. The fitted neutron capture lifetime was measured as 218 \pm 9 \mu s