12 papers
Dffusion: Capturing the Beam-Beam Physics of Collisions with Diffusion Models
Antonio Chahine, Mariarosaria D'Alfonso, Jan Eysermans +10
Beam-induced backgrounds at high-luminosity colliders, such as the FCC-ee, are dominated by incoherent pair creation (IPC), and require computationally expensive simulatio…
Particle-Lund Multimodality in Jet Taggers
Loukas Gouskos, Benedikt Maier
The Lund plane offers a physics-motivated, hierarchical representation of QCD radiation within jets, while transformer-based taggers have reached state-of-the-art performance by le…
Autonomous Discovery of Particle Physics Theories from Experimental Data
Stephon Alexander, Benjamin Bradley, Loukas Gouskos +1
The search for physics beyond the Standard Model is hindered by a combinatorial explosion of possible theories. We introduce \textsc{Albert}, a neuro-symbolic artificial intelligen…
Contrastive Metric Learning for Point Cloud Segmentation in Highly Granular Detectors
Max Marriott-Clarke, Lazar Novakovic, Elizabeth Ratzer +3
We propose a novel clustering approach for point-cloud segmentation based on supervised contrastive metric learning (CML). Rather than predicting cluster assignments or object-cent…
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…
Modern jet flavour tagging in hadronic Z decays with archived ALEPH data
Matteo M. Defranchis, Jacopo Fanini, Apranik Fatehi +6
We present a reanalysis of archived data from the ALEPH experiment at LEP in the final state. We apply modern jet flavour tagging techniques to improve th…