GLOW: A Unified Particle Flow Transformer
Dmitrii Kobylianskii ⋅ Samuel Van Stroud ⋅ Kwok Wong ⋅ Max Hart ⋅ Etienne Dreyer ⋅ Eilam Gross ⋅ Gabriel Facini ⋅ Tim Scanlon
Abstract
We present GLOW, a transformer-based particle flow model that combines incidence matrix supervision from HGPflow with a MaskFormer architecture. Evaluated on CLIC detector simulations, GLOW achieves state-of-the-art performance and, together with prior work, demonstrates that a single unified transformer architecture can effectively address diverse reconstruction tasks in particle physics.
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