304 citations · 2.2k across the 92 of their papers we have counts for
101 papers
Parnassus for the CLD Detector: A Generative Machine-Learning Surrogate for Detector Simulation and Reconstruction at the FCC-ee
Umar Sohail Qureshi, Benjamin Nachman, Caterina Vernieri
Detector simulation and event reconstruction will be computationally expensive for future collider programs and are currently critical bottlenecks for accurate feasibility…
Damping Ring Optimization in Natural Emittance and IBS Dominated Regimes
Matthew Andorf, Nigel Lockyer, Emilio Nanni +2
Linear electron-positron colliders enable precision measurements of Standard Model observables and beyond. Modern linear colliders need damping rings wherein the emittance of the s…
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…
Higgs Self-Coupling Measurement at a Linear Collider at 550 GeV
Mikael Berggren, Bryan Bliewert, Jenny List +5
The Higgs mechanism is essential for the success of the Standard Model (SM) and can be experimentally verified with the determination of the Higgs self-coupling. As the simplest mo…
Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)
Julia Gonski, Jennifer Ott, Jenni Ott +129
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…
Beam-Beam Backgrounds for the Cool Copper Collider
Dimitrios Ntounis, Laith Gordon, Lindsey Gray +4
In this paper, we present a comprehensive characterization of beam-beam backgrounds for the Cool Copper Collider (C), a proposed linear collider designed for preci…