most citedCommunicating Likelihoods with Normalising Flows

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

hep-ex2026

Non-parametric and continuous extraction of amplitudes in realistic electroweak penguin decays

Tingzhen Xiao, Anja Beck, Eluned Smith

A novel approach to extract decay amplitudes in processes, where represents a meson with either (S-wave) or (P-wave), was recen…

physics.acc-ph2026

Particle tracking with physics-informed deep learning methods

Matthias Remta, Anja Beck, Shanthalakshmi Kilambi +2

Simulating the motion of charged particles in electromagnetic fields is essential for designing and optimising particle accelerators. Conventional tools rely on symplectic integrat…

hep-ex2025

Flavor-physics benchmarks for tracker-based particle identification at the FCC-ee

Anja Beck, Eluned Smith

The correct identification of charged hadrons plays a crucial role in flavor-physics measurements. The final detector configurations at the proposed Future Circular Collider are ye…

hep-ex2025

Seeing the Forest Through the Trees: Knowledge Retrieval for Streamlining Particle Physics Analysis

James McGreivy, Blaise Delaney, Anja Beck +1

Generative Large Language Models (LLMs) are a promising approach to structuring knowledge contained within the corpora of research literature produced by large-scale and long-runni…

hep-ph2025★ 1 cited

Communicating Likelihoods with Normalising Flows

Jack Y. Araz, Anja Beck, Méril Reboud +2

We present a machine-learning-based workflow to model an unbinned likelihood from its samples. A key advancement over existing approaches is the validation of the learned likelihoo…