29 citations · 46 across the 4 of their papers we have counts for
4 papers
Visualization and Efficient Generation of Constrained High-dimensional Theoretical Parameter Spaces
Jason Baretz, Nicholas Carrara, Jacob Hollingsworth +1
We describe a set of novel methods for efficiently sampling high-dimensional parameter spaces of physical theories defined at high energies, but constrained by experimental measure…
Efficient sampling of constrained high-dimensional theoretical spaces with machine learning
Jacob Hollingsworth, Michael Ratz, Philip Tanedo +1
Models of physics beyond the Standard Model often contain a large number of parameters. These form a high-dimensional space that is computationally intractable to fully explore. Ex…
Resonance Searches with Machine Learned Likelihood Ratios
Jacob Hollingsworth, Daniel Whiteson
We demonstrate the power of machine-learned likelihood ratios for resonance searches in a benchmark model featuring a heavy Z' boson. The likelihood ratio is expressed as a functio…
Geometric representation of spin correlations and applications to ultracold systems
Rick Mukherjee, Anthony E. Mirasola, Jacob Hollingsworth +2
We provide a one-to-one map between the spin correlations and certain three-dimensional shapes, analogous to the map between single spins and Bloch vectors, and demonstrate its uti…