Speaker
Description
Parnassus is a generative detector-simulation model that learns the mapping from generator-level particles to reconstructed particle-flow objects. We apply it to simulated hadronic Z-boson events from legacy e⁺e⁻ collider experiments. Using ALEPH simulation, we validate Parnassus across particle-, jet-, and event-level observables, including particle identification, reconstructed vertices, jet substructure, visible mass, and thrust. The model reproduces the full-simulation reference accurately, particularly for detector-sensitive and correlated observables. We further apply Parnassus to SLD by training a dedicated model on SLD simulation, with planned studies using DELPHI samples for additional cross-experiment comparison. This is the first study within Parnassus to transfer a generative detector-simulation model across different legacy e⁺e⁻ detectors.