activity
20222026
most citedUnbinned multivariate observables for global SMEFT analyses from machine learning

22 citations · 45 across the 5 of their papers we have counts for

collaborators

6 papers

hep-ph2026

Determining the Threshold Excess in Top-Quark Pair Production through a Global PDF Analysis

Richard D. Ball, Jaco ter Hoeve

We present an empirical determination of the threshold excess in top-quark pair production, taking full account of correlated uncertainties with PDFs, the top-quark mass …

hep-ph2024★ 2 cited

Mapping the SMEFT at High-Energy Colliders: from LEP and the (HL-)LHC to the FCC-ee

Eugenia Celada, Tommaso Giani, Jaco ter Hoeve +5

We present SMEFiT3.0, an updated global SMEFT analysis of Higgs, top quark, and diboson production data from the LHC complemented by electroweak precision observables (EWPOs) from…

hep-ph2023

Region analysis of QED massive fermion form factor

Jaco ter Hoeve, Eric Laenen, Coenraad Marinissen +2

We perform an analysis of the one- and two-loop massive quark form factor in QED in a region expansion, up to next-to-leading power in the quark mass. This yields an extensive set…

hep-ph2023★ 1 cited

The automation of SMEFT-Assisted Constraints on UV-Complete Models

Jaco ter Hoeve, Giacomo Magni, Juan Rojo +2

The ongoing Effective Field Theory (EFT) program at the LHC and elsewhere is motivated by streamlining the connection between experimental data and UV-complete scenarios of heavy n…

hep-ph2022★ 22 cited

Unbinned multivariate observables for global SMEFT analyses from machine learning

Raquel Gomez Ambrosio, Jaco ter Hoeve, Maeve Madigan +2

Theoretical interpretations of particle physics data, such as the determination of the Wilson coefficients of the Standard Model Effective Field Theory (SMEFT), often involve the i…

cond-mat.mtrl-sci2022★ 20 cited

Spatially-Resolved Band Gap and Dielectric Function in 2D Materials from Electron Energy Loss Spectroscopy

Abel Brokkelkamp, Jaco ter Hoeve, Isabel Postmes +6

The electronic properties of two-dimensional (2D) materials depend sensitively on the underlying atomic arrangement down to the monolayer level. Here we present a novel strategy fo…