activity
20072014
most citedMeasurement of Scintillation and Ionization Yield and Scintillation Pulse Shape from Nuclear Recoils in Liquid Argon

115 citations · 256 across the 7 of their papers we have counts for

collaborators

7 papers

physics.ins-det2014★ 115 cited

Measurement of Scintillation and Ionization Yield and Scintillation Pulse Shape from Nuclear Recoils in Liquid Argon

H. Cao, T. Alexander, A. Aprahamian +32

We have measured the scintillation and ionization yield of recoiling nuclei in liquid argon as a function of applied electric field by exposing a dual-phase liquid argon time proje…

physics.ins-det2013★ 37 cited

Observation of the Dependence of Scintillation from Nuclear Recoils in Liquid Argon on Drift Field

T. Alexander, H. O. Back, H. Cao +27

We have exposed a dual-phase Liquid Argon Time Projection Chamber (LAr-TPC) to a low energy pulsed narrowband neutron beam, produced at the Notre Dame Institute for Structure and N…

hep-ex2011★ 76 cited

The 2010 Interim Report of the Long-Baseline Neutrino Experiment Collaboration Physics Working Groups

The LBNE Collaboration, T. Akiri, D. Allspach +329

In early 2010, the Long-Baseline Neutrino Experiment (LBNE) science collaboration initiated a study to investigate the physics potential of the experiment with a broad set of diffe…

physics.data-an2009★ 1 cited

Improving Application of Bayesian Neural Networks to Discriminate Neutrino Events from Backgrounds in Reactor Neutrino Experiments

Ye Xu, WeiWei Xu, YiXiong Meng +1

The application of Bayesian Neural Networks(BNN) to discriminate neutrino events from backgrounds in reactor neutrino experiments has been described in Ref.\cite{key-1}. In the pap…

physics.data-an2008★ 1 cited

Applying Bayesian Neural Network to Determine Neutrino Incoming Direction in Reactor Neutrino Experiments and Supernova Explosion Location by Scintillator Detectors

Weiwei Xu, Ye Xu, Yixiong Meng +1

In the paper, it is discussed by using Monte-Carlo simulation that the Bayesian Neural Network(BNN) is applied to determine neutrino incoming direction in reactor neutrino experime…

physics.data-an2008★ 5 cited

Applying Bayesian Neural Networks to Separate Neutrino Events from Backgrounds in Reactor Neutrino Experiments

Ye Xu, Yixiong Meng, Weiwei Xu

A toy detector has been designed to simulate central detectors in reactor neutrino experiments in the paper. The samples of neutrino events and three major backgrounds from the Mon…