output
19982026
most citedJet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

359 citations

Showing 2020Show all

12 papers · 1 filter

astro-ph.SR2020★ 13 cited

The Solar Neighborhood XLVII: Comparing M Dwarf Models with Hubble Space Telescope Dynamical Masses and Spectroscopy

Serge B. Dieterich, Andrew Simler, Todd J. Henry +1

We use HST/STIS optical spectroscopy of ten M dwarfs in five closely separated binary systems to test models of M dwarf structure and evolution. Individual dynamical masses ranging…

math.GR2020★ 3 cited

The Spectrum of the Burnside Tambara Functor of a Cyclic Group

Maxine Calle, Sam Ginnett

We derive a family of prime ideals of the Burnside Tambara functor for a finite group . In the case of cyclic groups, this family comprises the entire prime spectrum. We include…

nucl-ex2020★ 6 cited

Spectroscopic study of Ca from the decay of K

J. K. Smith, A. B. Garnsworthy, J. L. Pore +30

The decay of K to Ca is an appropriate mechanism for benchmarking interactions spanning the and shells, but current knowledge of the -decay schem…

hep-ph2020★ 79 cited

Simulation-Assisted Decorrelation for Resonant Anomaly Detection

Kees Benkendorfer, Luc Le Pottier, Benjamin Nachman

A growing number of weak- and unsupervised machine learning approaches to anomaly detection are being proposed to significantly extend the search program at the Large Hadron Collid…

physics.class-ph2020★ 13 cited

A Magnetic Velocity Verlet Method

A. Chambliss, J. Franklin

We discuss an extension of the velocity Verlet method that accurately approximates the kinetic-energy-conserving charged particle motion that comes from magnetic forcing. For a uni…

hep-ph2020

Another Unorthodox Introduction to QCD and now Machine Learning

Andrew J. Larkoski

These are lecture notes presented at the online 2020 Hadron Collider Physics Summer School hosted by Fermilab. These are an extension of lectures presented at the 2017 and 2018 CTE…