5 papers
Cross-Detector Transfer Learning with Parnassus: From ALEPH to SLD
Ya-Feng Lo, Chi Lung Cheng, Benjamin Nachman
Parnassus is a fast detector-simulation and reconstruction framework that maps truth-level particles directly to reconstructed particles. In this work, we investigate cross-detecto…
An AI-ready, Polarized Electron-Positron Collision Dataset
Chi Lung Cheng, Simon Corrodi, T. J. Hobbs +2
We present a modernized, AI-ready release of reconstructed data from the SLD experiment at the SLAC Linear Collider (SLC). The dataset comprises approximately 660{,}000 reconstruct…
Weakly Supervised Anomaly Detection in Events with a Higgs Boson and Exotic Physics
Chi Lung Cheng, Sarah Demers, Sascha Diefenbacher +3
We present a machine learning-based anomaly detection strategy designed to identify anomalous physics in events containing resonant Standard Model physics and demonstrate this meth…
Generator Based Inference (GBI)
Chi Lung Cheng, Ranit Das, Runze Li +5
Statistical inference in physics is often based on samples from a generator (sometimes referred to as a ``forward model") that emulate experimental data and depend on parameters of…
Incorporating Physical Priors into Weakly-Supervised Anomaly Detection
Chi Lung Cheng, Gup Singh, Benjamin Nachman
We propose a new machine-learning-based anomaly detection strategy for comparing data with a background-only reference (a form of weak supervision). The sensitivity of previous str…