250 citations · 1.2k across the 20 of their papers we have counts for
20 papers
Extending the Bump Hunt with Machine Learning
Jack H Collins, Kiel Howe, Benjamin Nachman
The oldest and most robust technique to search for new particles is to look for `bumps' in invariant mass spectra over smoothly falling backgrounds. We present a new extension of t…
Digitizing Gauge Fields: Lattice Monte Carlo Results for Future Quantum Computers
Daniel C. Hackett, Kiel Howe, Ciaran Hughes +3
In the near-future noisy intermediate-scale quantum (NISQ) era of quantum computing technology, applications of quantum computing will be limited to calculations of very modest sca…
Anomaly Detection for Resonant New Physics with Machine Learning
Jack H. Collins, Kiel Howe, Benjamin Nachman
Despite extensive theoretical motivation for physics beyond the Standard Model (BSM) of particle physics, searches at the Large Hadron Collider (LHC) have found no significant evid…
A Flavorful Factoring of the Strong CP Problem
Prateek Agrawal, Kiel Howe
Motivated by the intimate connection between the strong CP problem and the flavor structure of the Standard Model, we present a flavor model that revives and extends the classic ${…
Factoring the Strong CP Problem
Prateek Agrawal, Kiel Howe
We present a new mechanism to solve the strong CP problem using axions, each dynamically relaxing part of the parameter. At high energies the $SU(3)_…
LHCSki 2016 - A First Discussion of 13 TeV Results
W. Adam, J. Pradler, J. Schieck +34
These are the proceedings of the LHCSki 2016 workshop "A First Discussion of 13 TeV Results" that has been held at the Obergurgl Universitätszentrum, Tirol, Austria, April 10 - 15,…