Doctoral thesis: Multivariate study of polarisation states in electroweak vector boson scattering WZ events using ATLAS data at the LHC. CERN repository · doi:10.17181/cw32k-7w243
About
I am a particle physicist in the ATLAS collaboration. During my Doctorate at the Laboratoire d'Annecy de Physique des Particules (LAPP), I measured the single and joint longitudinal polarisation states of the W and Z bosons in Vector Boson Scattering (VBS), a process directly linked to electroweak symmetry breaking and among the rarest signatures accessible at the LHC.
With only a few tens of -EW events expected, my work focused on Machine Learning techniques to exploit the full information of the Monte Carlo simulations: Deep Neural Networks (DNN) and a binning built from clustering algorithms and Voronoi regions, which led to the highest sensitivity achieved so far for this channel within ATLAS. In parallel, I developed DNN-based identification and calibration of forward electrons for the HL-LHC in the Combined Performance group, and an active-learning framework to explore high-dimensional parameter spaces with theorists from LAPTh. My research, with the schemes →
Doctoral thesis
Multivariate study of polarisation states in electroweak vector boson scattering WZ events using ATLAS data at the LHC
This thesis presents the first measurement of the longitudinal polarisation states of one or both bosons in processes, using the data recorded by the ATLAS experiment during the full Run-2 of the LHC ( at ) combined with the first part of Run-3 ( at ). Deep neural networks are trained to separate events from the background and then to disentangle the polarisation states. Their outputs define a two-dimensional discriminant plane, in which a clustering algorithm builds an optimised Voronoi binning that maximises the sensitivity of a binned maximum-likelihood fit. The fraction in which the boson is longitudinally polarised regardless of the polarisation of the boson is measured to be , for a prediction of , with an observed (expected) significance of () standard deviations, providing the first evidence for longitudinally polarised -boson states in events. In the context of the High-Luminosity LHC, this thesis also presents a first calibration and identification of electrons in the forward region with the ITk, improving the background rejection at fixed identification efficiency and preparing future analyses with Run-4 data.
Research
2023 – 2026 · ATLAS Standard Model group
Polarisation in VBS WZ
A signal-background DNN and a polarisation DNN combined into a two-dimensional template, binned with Voronoi regions: evidence at standard deviations for a longitudinally polarised Z boson. On arXiv:2607.20246, presented at ICHEP 2026.
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2023 – 2026 · ATLAS Combined Performance group
Forward electrons for Run-4
DNN-based working points and energy calibration for forward electrons, using the new ITk and HGTD variables up to , decorrelated from and implemented in Athena. Three ATLAS internal notes.
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2023 – 2025 · with LAPTh
Active learning for BSM scans
Active-learning-driven neural networks to explore the high-dimensional parameter space of scotogenic models, compared with Markov-Chain Monte Carlo. Joint paper on arXiv:2512.06378, in submission to SciPost.
Read more →Publications
ATLAS Collaboration, Evidence for longitudinally polarised Z bosons in electroweak production in association with two jets from pp collisions at and with the ATLAS detector. arXiv:2607.20246
Polarisation measurements in WZ VBS production, proceedings of the JRJC 2025. HAL
U. de Noyers, M. Dubau, B. Herrmann, O. Arnaez, On the efficiency of parameter space exploration: a scotogenic case study. arXiv:2512.06378
Talks and conferences
VBS Run-3 polarisation: future plans · WZ Run-3 Umbrella Workshop, LAPP, Annecy
Reconstruction plan and activities for Run-4 · Workshop, Edinburgh
reconstruction perspective for Run-4 · End-of-the-year Physics Workshop, CERN
Polarisation measurements in WZ VBS production · Journées de Rencontre des Jeunes Chercheurs proceedings
ML techniques for the enhancement of WZ VBS polarised final states · WZ Run-3 Umbrella Workshop, CERN
Polarisation measurements in WZ VBS production · Physique ATLAS France, LAPP, Annecy
Forward electrons in Run-3 and Run-4 · Workshop, CERN
Machine learning for polarisation measurement in VBS at the LHC · seminar, Jagiellonian University, Krakow
COMETA Workshop on Vector Boson Polarisation, L2IT, Toulouse workshop
Workshop, Valencia workshop
Teaching and outreach
CERN Guide · visits of CERN for the public
Introduction to Python, university lectures · Université Savoie Mont Blanc
Journée de la Science · LAPP, Annecy
Education
Doctorate in particle physics · LAPP, Université Savoie Mont Blanc · supervisor Olivier Arnaez
Master's degree in physics, subatomic path · Université Claude Bernard Lyon 1
Bachelor's degree in physics · Université de Bordeaux
Schools
École de GIF: les futurs collisionneurs et leur physique · IPHC, Strasbourg
CERN School of Computing (CSC 2025) · Lund
European School of High-Energy Physics (ESHEP 2024) · Peebles, Scotland
Skills
Programming
Python (advanced), C, C++ (proficient), ROOT, bash, Fortran (minimal)
Machine Learning
TensorFlow, Keras, scikit-learn, XGBoost, TMVA, Bayesian optimisation
Data analysis
NumPy, pandas, SciPy, Matplotlib, Plotly, binned likelihood fits (TRExFitter)
Software
LaTeX, TikZ, Beamer, Git, Docker, Athena
Languages
French (native), English (C1, fluent), Spanish (A2–B1), Italian (currently learning)
Interests
Triathlon, marathon, badminton · board games, movies
Contact and links
GitHub · LinkedIn · INSPIRE · ORCID · Google Scholar · ResearchGate