activity
19982026
most citedIndication of Electron Neutrino Appearance from an Accelerator-produced Off-axis Muon Neutrino Beam

1.4k citations · 13k across the 243 of their papers we have counts for

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Showing 2004Show all

10 papers · 1 filter

physics.ins-det2004★ 15 cited

Detection of Noble Gas Scintillation Light with Large Area Avalanche Photodiodes (LAAPDs)

R. Chandrasekharan, M. Messina, A. Rubbia

Large Area Avalanche Photodiodes (LAAPDs) were used for a series of systematic measurements of the scintillation light in Ar, Kr, and Xe gas. Absolute quantum efficiencies are deri…

hep-ph2004★ 13 cited

Neutrino detectors for future experiments

A. Rubbia

We review detector technologies which are currently considered for ultimate nucleon decay searches, new generation astrophysical neutrinos studies, and for future long-baseline neu…

physics.ins-det2004★ 16 cited

First operation of a liquid Argon TPC embedded in a magnetic field

A. Badertscher, M. Laffranchi, A. Meregaglia +1

We have operated for the first time a liquid Argon TPC immersed in a magnetic field up to 0.55 T. We show that the imaging properties of the detector are not affected by the presen…

hep-ph2004★ 28 cited

Ideas for future liquid Argon detectors

A. Ereditato, A. Rubbia

We outline a strategy for future experiments on neutrino and astroparticle physics based on the use, at different detector mass scales (100 ton and 100 kton), of the liquid Argon T…

hep-ph2004★ 2 cited

Very massive underground detectors for proton decay searches

A. Rubbia

Massive underground detectors can be considered as sort of observatories for rare physics phenomena like astrophysical neutrino detection and nucleon decay searches. We briefly ove…

hep-ph2004★ 6 cited

Statistical Pattern Recognition: Application to Oscillation Searches Based on Kinematic Criteria

A. Bueno, A. Martinez de la Ossa, S. Navas +1

Classic statistical techniques (like the multi-dimensional likelihood and the Fisher discriminant method) together with Multi-layer Perceptron and Learning Vector Quantization Neur…