297 citations · 416 across the 3 of their papers we have counts for
3 papers
hep-ph2017★ 297 cited
Classification without labels: Learning from mixed samples in high energy physics
Eric M. Metodiev, Benjamin Nachman, Jesse Thaler
Modern machine learning techniques can be used to construct powerful models for difficult collider physics problems. In many applications, however, these models are trained on impe…
hep-ph2017★ 118 cited
Pileup Mitigation with Machine Learning (PUMML)
Patrick T. Komiske, Eric M. Metodiev, Benjamin Nachman +1
Pileup involves the contamination of the energy distribution arising from the primary collision of interest (leading vertex) by radiation from soft collisions (pileup). We develop…
physics.acc-ph2015★ 1 cited
Thomas-BMT equation generalized to electric dipole moments and field gradients
Eric M. Metodiev
An expression is presented for the relativistic equations of motion, including field gradients, of a particle and its spin with electric and magnetic dipole moments aligned along t…