113 citations · 229 across the 8 of their papers we have counts for
6 papers · 1 filter
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…
Dark Matter Freeze-out during Confinement
Jessica N. Howard, Seyda Ipek, Tim M. P. Tait +1
We explore the possibility that dark matter is a pair of vector-like fermionic doublets and propose a novel mechanism of dark matter production that procee…
Learning to Simulate High Energy Particle Collisions from Unlabeled Data
Jessica N. Howard, Stephan Mandt, Daniel Whiteson +1
In many scientific fields which rely on statistical inference, simulations are often used to map from theoretical models to experimental data, allowing scientists to test model pre…
How to GAN Higher Jet Resolution
Pierre Baldi, Lukas Blecher, Anja Butter +6
QCD-jets at the LHC are described by simple physics principles. We show how super-resolution generative networks can learn the underlying structures and use them to improve the res…
QCD Baryogenesis
Djuna Croon, Jessica N. Howard, Seyda Ipek +1
We explore a simple model which naturally explains the observed baryon asymmetry of the Universe. In this model the strong coupling is promoted to a dynamical quantity, which evolv…
The Magnetic Dipole Moment at Future Lepton Colliders
Jessica N. Howard, Arvind Rajaraman, Rebecca Riley +1
The magnetic moment of the lepton is an interesting quantity that is potentially sensitive to physics beyond the Standard Model. Electroweak gauge invariance implies that a hea…