Neural simulation-based inference on unbinned top-quark pair data at 13 TeV yields improved gluon PDF precision over traditional binned analyses while incorporating experimental and theoretical uncertainties.
Unbinned measurement of thrust ine +e− collisions at √s = 91.2 GeV with ALEPH archived data
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 2
citation-polarity summary
years
2026 2verdicts
UNVERDICTED 2roles
background 2polarities
background 2representative citing papers
Parnassus faithfully reproduces the ALEPH detector response at event, jet, and particle levels for clean e+e- to Z to qqbar events.
citing papers explorer
-
Proton Structure from Neural Simulation-Based Inference at the LHC
Neural simulation-based inference on unbinned top-quark pair data at 13 TeV yields improved gluon PDF precision over traditional binned analyses while incorporating experimental and theoretical uncertainties.
-
An AI-based Detector Simulation and Reconstruction Model for the ALEPH Experiment at LEP
Parnassus faithfully reproduces the ALEPH detector response at event, jet, and particle levels for clean e+e- to Z to qqbar events.