18 citations · 22 across the 5 of their papers we have counts for
6 papers
Physics-Constrained Modeling and Inference of the Equation of State for Dissociative Materials
Jolypich Pek, Ben Seiyon Lee, Jason Bernstein +1
Equations of state (EOSs) describe how a material's internal energy and pressure change with temperature and density. They are inputs to hydrodynamic simulations in materials scien…
A Tutorial on Bayesian Analysis of Linear Shock Compression Data
Jason Bernstein, Philip C. Myint, Beth A. Lindquist +1
Gas gun and other shock compression experiments often produce shock wave velocity measurements that are linearly associated with particle velocity. Traditionally, this empirical re…
Computing the Instantaneous Collision Probability between Satellites using Characteristic Function Inversion
Jason Bernstein
The probability that two satellites overlap in space at a specified instant of time is called their instantaneous collision probability. Assuming Gaussian uncertainties and spheric…
Star-Galaxy Image Separation with Computationally Efficient Gaussian Process Classification
Amanda L. Muyskens, Imène R. Goumiri, Benjamin W. Priest +4
We introduce a novel method for discerning optical telescope images of stars from those of galaxies using Gaussian processes (GPs). Although applications of GPs often struggle in h…
Bayesian Fusion of Data Partitioned Particle Estimates
Caleb Miller, Michael D. Schneider, Jem N. Corcoran +1
We present a Bayesian data fusion method to approximate a posterior distribution from an ensemble of particle estimates that only have access to subsets of the data. Our approach r…
A Bayesian Analysis of Nuclear Deformation Properties with Skyrme Energy Functionals
N. Schunck, K. R. Quinlan, J. Bernstein
In spite of numerous scientific and practical applications, there is still no comprehensive theoretical description of the nuclear fission process based solely on protons, neutrons…