4 papers
Inferring Unreported Measurement Uncertainties via Information Geometry in Astrophysics
Marko ImbriÅ¡ak, KreÅ¡imir TisaniÄ
Modern radio and multi-instrument astrophysical datasets are increasingly assembled from surveys with different sensitivities and selection effects. In such heterogeneous datasets,…
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…