Preprints and Publications:
Katherine Fraser and Matthew D. Schwartz, "Jet Charge and Machine Learning," JHEP 10 (2018) 093, arXiv:1803.08066 [hep-ph].
Katherine Fraser and Matthew Reece, “Axion Periodicity and Coupling Quantization in the Presence of Mixing,” JHEP 05 (2020) 066, arXiv:1910.11349 [hep-ph].
Katherine Fraser, Aditya Parikh, and Weishuang Linda Xu, "A Closer Look at CP-Violating Higgs Portal Dark Matter as a Candidate for the GCE," JHEP 03 (2021) 123, arXiv: 2010.15129 [hep-ph].
Forrest Flesher, Katherine Fraser, Charles Hutchinson, Bryan Ostdiek, Matthew D. Schwartz, "Parameter Inference from Event Ensembles and the Top-Quark Mass," JHEP 09 (2021) 058, arXiv: 2011.04666 [hep-ph].
JiJi Fan, Katherine Fraser, Matthew Reece, John Stout, "Axion Mass from Magnetic Monopole Loops," accepted for publication in PRL, arXiv: 2105.09950 [hep-ph]
I've written several papers on axions and on applications of machine learning to collider physics. In addition to continuing projects on these topics, I've also thought about other problems in beyond the standard model physics, including cosmological effects of neutrino interactions, dark matter models, and positivity constraints from scattering amplitudes.