Publications (5)
Big Variates: Visualizing and identifying key variables in a multivariate world
S. J. Watts, L. Crow
Big Data involves both a large number of events but also many variables. This paper will concentrate on the challenge presented by the large number of variables in a Big Dataset. I…
An information theoretic limit to data amplification
S. J. Watts, L. Crow
In recent years generative artificial intelligence has been used to create data to support science analysis. For example, Generative Adversarial Networks (GANs) have been trained u…
Tests of Modulated Intensity Small Angle Scattering in time of flight mode
G. Brandl, J. Lal, J. Carpenter +5
We report results of tests of the MISANS technique at the CG-1D beamline at High Flux Isotope Reactor (HFIR), Oak Ridge National Laboratory (ORNL). A chopper at 40 Hz simulated a p…
Limits to classification performance by relating Kullback-Leibler divergence to Cohen's Kappa
L. Crow, S. J. Watts
The performance of machine learning classification algorithms are evaluated by estimating metrics, often from the confusion matrix, using training data and cross-validation. Howeve…
New Search for Mirror Neutrons at HFIR
L. J. Broussard, K. M. Bailey, W. B. Bailey +22
The theory of mirror matter predicts a hidden sector made up of a copy of the Standard Model particles and interactions but with opposite parity. If mirror matter interacts with or…