arXiv subjects

Cedric Verstege

Publications and source records attributed to Cedric Verstege.

3 recordsLinked to original sources

arXiv2026

Standard Model W, Z (+jet) at CMS and ATLAS

Recent measurements of Standard Model W and Z boson production performed by the ATLAS and CMS Collaborations at the CERN Large Hadron Collider are reviewed. These include a search for charged lepton flavour violating decays of Z and Z' bosons, a measurement of W-boson angular coefficients and transverse momentum distributions, a triple-differential measurement of Z+jet production, and a study of the jet mass in boosted hadronic W boson decays with an extraction of the W boson mass. Together, these results highlight the role of precision measurements as stringent tests of perturbative quantum chromodynamics and electroweak theory. The large Run 2 dataset enables multi-differential measurements with enhanced sensitivity to parton distribution functions and increasingly precise tests of theoretical predictions.

hep-ex↗

arXiv2024

Nonperturbative effects in triple-differential dijet and Z+jet production at the LHC

In comparisons of precision measurements at colliders to the most accurate predictions available in perturbative quantum chromodynamics (QCD), it is required to correct for nonperturbative effects. By means of Monte Carlo event generators this article investigates the impact of such nonperturbative effects on two processes relevant for precision determinations of the strong coupling constant and the proton structure: triple-differential dijet and Z+jet production. We observe significant differences between the two processes. Whether this non-universal behaviour is realized in nature remains an open question. We therefore propose a triple-differential measurement of the underlying event in Z+jet production.

hep-ph↗

arXiv2022

kafe2 -- a Modern Tool for Model Fitting in Physics Lab Courses

Fitting models to measured data is one of the standard tasks in the natural sciences, typically addressed early on in physics education in the context of laboratory courses, in which statistical methods play a central role in analysing and interpreting experimental results. The increased emphasis placed on such methods in modern school curricula, together with the availability of powerful free and open-source software tools geared towards scientific data analysis, form an excellent premise for the development of new teaching concepts for these methods at the university level. In this article, we present kafe2, a new tool developed at the Faculty of Physics at the Karlsruhe Institute of Technology, which has been used in physics laboratory courses for several years. Written in the {\it Python} programming language and making extensive use of established numerical and optimization libraries, {\it kafe2} provides simple but powerful interfaces for numerically fitting model functions to data. The tools provided allow for fine-grained control over many aspects of the fitting procedure, including the specification of the input data and of arbitrarily complex model functions, the construction of complex uncertainty models, and the visualization of the resulting confidence intervals of the model parameters.

physics.ed-ph↗