5 papers
Graph theory inspired anomaly detection at the LHC
Jack Y. Araz, Dimitrios Athanasakos, Mateusz Ploskon +1
Designing model-independent anomaly detection algorithms for analyzing LHC data remains a central challenge in the search for new physics, due to the high dimensionality of collide…
Diffusion-Based Point-Cloud Generation of Heavy-Ion Events
Rita Sadek, Vinicius Mikuni, Mateusz Ploskon
Heavy-ion collisions produce final states with thousands to tens of thousands of particles, making their simulation among the most computationally intensive tasks in high-energy nu…
White Paper on Software Infrastructure for Advanced Nuclear Physics Computing
P. M. Jacobs, A. Boehnlein, B. Sawatzky +49
This White Paper documents the discussion and consensus conclusions of the workshop "Software Infrastructure for Advanced Nuclear Physics Computing" (SANPC 24), which was held at J…
Imaging the initial condition of heavy-ion collisions and nuclear structure across the nuclide chart
Jiangyong Jia, Giuliano Giacalone, Benjamin Bally +18
High-energy nuclear collisions encompass three key stages: the structure of the colliding nuclei informed by low-energy nuclear physics, the initial condition (IC) leading to the f…
Is infrared-collinear safe information all you need for jet classification?
Dimitrios Athanasakos, Andrew J. Larkoski, James Mulligan +2
Machine learning-based jet classifiers are able to achieve impressive tagging performance in a variety of applications in high-energy and nuclear physics. However, it remains uncle…