2 citations · 3 across the 11 of their papers we have counts for
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Machine Learning Neutrino-Nucleus Cross Sections II: More Leptons
Daniel C. Hackett, Joshua Isaacson, Shirley Weishi Li +2
Neutrino-nucleus cross sections are essential inputs for long-baseline neutrino oscillation experiments, yet remain challenging to model with high precision. Recent work demonstrat…
Drell-Yan lepton pair production from low to high transverse momentum
Benoît Assi, Enrico Bothmann, John Campbell +7
We present a technique for computing Drell-Yan lepton pair production at particle-level that achieves NLO and approximate NLL accuracy at small to moderate transverse mo…
First constraints on the nonperturbative gluon Collins-Soper kernel
Artur Avkhadiev, Yang Fu, Phiala E. Shanahan +2
The gluon Collins-Soper kernel, which encodes the rapidity evolution of transverse-momentum-dependent gluon distributions, is constrained for the first time in the nonperturbative…
Direct calculation of parton distributions in momentum space from lattice QCD
Anthony V. Grebe, Daniel C. Hackett, Michael L. Wagman +2
Coulomb-gauge quasi-parton distributions can be computed directly in momentum space on a finite lattice, enabled by the commutativity of their renormalization and Fourier transform…
Excited-state uncertainties in lattice-QCD calculations of hadron masses and scattering phase shifts
William Detmold, Anthony V. Grebe, Daniel C. Hackett +4
Lattice QCD has historically produced energy results interpretable as either estimates relying on implicit assumptions about asymptotic behavior or one-sided upper bounds. New Lanc…
Excited-state uncertainties in lattice-QCD calculations of multi-hadron systems
William Detmold, Anthony V. Grebe, Daniel C. Hackett +4
Excited-state effects lead to hard-to-quantify systematic uncertainties in lattice quantum chromodynamics (LQCD) spectroscopy calculations when computationally accessible imaginary…