Search for anomalies in vector-boson fusion production of the Higgs boson in $H(\rightarrow \gamma\gamma) jj$ events using 164 fb$^{-1}$ of $pp$ collision data collected at $\sqrt{s}=13.6$ TeV with the ATLAS detector
ATLAS Collaboration

TL;DR
This paper investigates Higgs boson properties in vector-boson fusion events using ATLAS data, employing advanced analysis techniques to test for deviations from the Standard Model, and finds results consistent with the Standard Model predictions.
Contribution
It introduces a neural network-based classification method and combines multiple analyses to improve constraints on Higgs couplings and CP-odd interactions.
Findings
Results are consistent with the Standard Model
Enhanced sensitivity through neural network classification
Improved constraints on CP-odd couplings
Abstract
This article details two studies of Higgs boson properties using the vector-boson fusion production mode and the final state. Both efforts are based on a data sample corresponding to 164 fb of TeV proton--proton collisions recorded by the ATLAS experiment at the Large Hadron Collider. The first study employs matrix element-based optimal observables to constrain CP-odd couplings beyond the Standard Model within the Standard Model Effective Field Theory framework, expressed in the Warsaw basis. The second study exploits angular distributions to probe the Higgs boson's couplings to longitudinally and transversely polarised and bosons in the production of the Higgs boson. To maximise the sensitivity, the constraints of the CP-odd couplings are combined with those from a previous analysis performed in events in a data sample…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · Quantum Chromodynamics and Particle Interactions
