14 citations · 14 across the 5 of their papers we have counts for
5 papers · 1 filter
Rapid Uncertainty Quantification on a Latent Field using Fisher Information
Karl Daningburg, A. E. Lovell, Arvind T. Mohan +1
Many inverse problems in physics infer an unobserved field from measurements connected to it through a governing equation. We combine Fisher information with a differentiable solve…
Reducing parametric uncertainties through information geometry methods
M. Imbrišak, A. E. Lovell, M. R. Mumpower
Information geometry is a study of applying differential geometry methods to challenging statistical problems, such as uncertainty quantification. In this work, we use information…
An optical-lensing inspired data thinning method for nuclear cross section data
M. Imbrišak, A. E. Lovell, M. R. Mumpower
In the study of nuclear cross sections, the computational demands of data assimilation methods can become prohibitive when dealing with large data sets. We have developed a novel v…
Weighted Levenberg-Marquardt methods for fitting multichannel nuclear cross section data
M. Imbrišak, A. E. Lovell, M. R. Mumpower
We present an extension of the Levenberg-Marquardt algorithm for fitting multichannel nuclear cross section data. Our approach offers a practical and robust alternative to conventi…
A novel emulator for fission event generators
Karl Daningburg, A. E. Lovell, R. O'Shaughnessy
A wide variety of emulators have been developed for nuclear physics, particularly for use in quantifying and propagating parametric uncertainties to observables. Most of these meth…