422 citations · 2.4k across the 71 of their papers we have counts for
4 papers · 1 filter
Model-independent extraction of form factors and in with hadronic tagging at BaBar
BaBar Collaboration, J. P. Lees, V. Poireau +208
Using the entire BaBar data set, the first two-dimensional unbinned angular analysis of the semileptonic decay is perfor…
Designing Observables for Measurements with Deep Learning
Owen Long, Benjamin Nachman
Many analyses in particle and nuclear physics use simulations to infer fundamental, effective, or phenomenological parameters of the underlying physics models. When the inference i…
Unbinned Deep Learning Jet Substructure Measurement in High ep collisions at HERA
The H1 collaboration, V. Andreev, M. Arratia +142
The radiation pattern within high energy quark- and gluon-initiated jets (jet substructure) is used extensively as a precision probe of the strong force as well as an environment f…
Search for Mesogenesis at BABAR
BABAR Collaboration, J. P. Lees, V. Poireau +239
A new mechanism has been proposed to simultaneously explain the presence of dark matter and the matter-antimatter asymmetry in the universe. This scenario predicts exotic meson…