An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

Compelling experimental evidence suggests the existence of new physics beyond the well-
established and tested standard model of particle physics. Various current and upcoming …

A new paradigm for data-driven, model-agnostic new physics searches at colliders is
emerging, and aims to leverage recent breakthroughs in anomaly detection and machine …

We propose a new model-agnostic search strategy for physics beyond the standard model
(BSM) at the LHC, based on a novel application of neural density estimation to anomaly …

We describe the outcome of a data challenge conducted as part of the Dark Machines
Initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged …

The lack of evidence for new interactions and particles at the Large Hadron Collider (LHC)
has motivated the high-energy physics community to explore model-agnostic data-analysis …

We propose masked particle modeling (MPM) as a self-supervised method for learning
generic, transferable, and reusable representations on unordered sets of inputs for use in …

A search is presented for a heavy resonance Y decaying into a Standard Model Higgs
boson H and a new particle X in a fully hadronic final state. The full Large Hadron Collider …

We introduce a new technique named latent CATHODE (LaCATHODE) for performing
“enhanced bump hunts,” a type of resonant anomaly search that combines conventional one …

Accurate simulation of physical processes is crucial for the success of modern particle
physics. However, simulating the development and interaction of particle showers with …