Equivariant, safe and sensitive — graph networks for new physics
(2024)
Journal Article
Bhardwaj, A., Englert, C., Naskar, W., Ngairangbam, V. S., & Spannowsky, M. (2024). Equivariant, safe and sensitive — graph networks for new physics. Journal of High Energy Physics, 2024(7), Article 245. https://doi.org/10.1007/jhep07%282024%29245
This study introduces a novel Graph Neural Network (GNN) architecture that leverages infrared and collinear (IRC) safety and equivariance to enhance the analysis of collider data for Beyond the Standard Model (BSM) discoveries. By integrating equivar... Read More about Equivariant, safe and sensitive — graph networks for new physics.