Emmet P. Forrestel

collaborators

2 papers

hep-ph2026

D $e^{+} e^{-}$ ffusion: Capturing the Beam-Beam Physics of $e^{+} e^{-}$ Collisions with Diffusion Models

Antonio Chahine, Mariarosaria D'Alfonso, Jan Eysermans +10

Beam-induced backgrounds at high-luminosity $e^{+} e^{-}$ colliders, such as the FCC-ee, are dominated by incoherent pair creation (IPC), and require computationally expensive simulatio…

physics.ins-det2026

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Julia Gonski, Jenni Ott, Shiva Abbaszadeh +118

The next generation of particle physics experiments will face a new era of challenges in data acquisition, due to unprecedented data rates and volumes along with extreme environmen…

De+e−ffusion: Capturing the Beam-Beam Physics of e+e− Collisions with Diffusion Models

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

D $e^{+} e^{-}$ ffusion: Capturing the Beam-Beam Physics of $e^{+} e^{-}$ Collisions with Diffusion Models