ATLAS OmniFold Full Charged Particle Phase Space Open Data

This dataset is the full phase space measurement of Z(mu mu)+jets production at sqrt(s)=13 TeV performed by the ATLAS Collaboration, unfolded with the OmniFold machine-learning unfolding algorithm. Because the measurement is unbinned, results are provided as a dataset of particle level events simulated with Monte Carlo methods, with per-event weights provided by OmniFold. Applying the weights to the events and binning the events in some observable produces a differential cross section measurement in that observable.<br><br>Each Parquet file is self-contained, combining per-event variable-length arrays of particle kinematics (transverse momentum, pseudorapidity, azimuthal angle, and PDG ID for the two Z-decay muons plus all charged hadrons) with ~164 OmniFold weight columns per event. The release includes:<br><br>- data.parquet, data-hv.parquet: the measurement dataset<br>- pseudodata.parquet, pseudodata-hv.parquet, truth_pseudodata.parquet: a pseudodata dataset for closure testing against known MC truth<br>- truth_madgraph.parquet: Monte Carlo truth-level predictions from MadGraph5_aMC@NLO+Pythia8, for comparison<br>- truth_sherpa.parquet: Monte Carlo truth-level predictions from Sherpa 2.2.11, for comparison<br>- models/: all trained OmniFold network checkpoints used to build the data measurement. Seven iterations of OmniFold are run for each independent run of the method, and 10 ensembles are run per most systematic variations. There are 28 run groups and 2695 checkpoint files total, enabling users to rerun inference for both the nominal result and some of the associated uncertainties.