activity
20182026
most citedThe electron self-energy in QED at two loops revisited

40 citations · 40 across the 3 of their papers we have counts for

collaborators

5 papers

physics.ao-ph2026

Interpretability of AI weather models via intermediate decoding

Matthias Beylich, Kirsten I. Tempest, Tobias Selz +1

AI weather prediction models are often regarded as black boxes. Despite their impressive skill, there is little understanding of how the input data is processed during inference to…

physics.ao-ph2026

The physics of AI weather models

George Craig, Tobias Selz, Matthias Beylich +1

Could it be that AI weather models are solving physical equations, although they may not be the equations used by conventional NWP models? We compute correlations of forecast skill…

physics.ao-ph2026

Mechanistic Interpretability Tool for AI Weather Models

Kirsten I. Tempest, Matthias Beylich, George C. Craig

Artificial Intelligence (AI) weather models are improving rapidly, and their forecasts are already competitive with long-established traditional Numerical Weather Prediction (NWP).…

hep-ph2019

Theory for the FCC-ee : Report on the 11th FCC-ee Workshop

A. Blondel, J. Gluza, S. Jadach +83

The Future Circular Collider (FCC) at CERN, a proposed 100-km circular facility with several colliders in succession, culminates with a 100 TeV proton-proton collider. It offers a…

hep-ph2018★ 40 cited

The electron self-energy in QED at two loops revisited

Ina Hönemann, Kirsten Tempest, Stefan Weinzierl

We reconsider the two-loop electron self-energy in quantum electrodynamics. We present a modern calculation, where all relevant two-loop integrals are expressed in terms of iterate…