Advancing global SMEFT fits in the LHC precision era

Project Information

EFT4ward

Grant agreement ID: 101149078

DOI

10.3030/101149078

Project closed

EC signature date 26 March 2024

Start date 1 October 2024

End date 30 September 2026

Funded under

• Marie Skłodowska-Curie Actions (MSCA)

Total cost

No data

EU contribution

€ 165 312,96

Coordinated by

UNIVERSITAT DE VALENCIA
Spain

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Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Publications

Peer reviewed articles (7)

Colibri: A new tool for fast-flying PDF fits

Author(s): Mark N. Costantini, Luca Mantani, James M. Moore, Valentina Schütze Sánchez, Maria Ubiali
Published in: The European Physical Journal C, Issue 86, 2026, ISSN 1434-6052
Publisher: Springer Science and Business Media LLC
DOI: 10.1140/EPJC/S10052-025-15185-8

Higgs trilinear coupling in the standard model effective field theory at the high luminosity LHC and the FCC-ee

Author(s): Jaco ter Hoeve, Luca Mantani, Juan Rojo, Alejo N. Rossia, Eleni Vryonidou
Published in: Physical Review D, Issue 112, 2026, ISSN 2470-0010
Publisher: American Physical Society (APS)
DOI: 10.1103/QTZ8-BKD4

A linear PDF model for Bayesian inference

Author(s): Mark N. Costantini, Luca Mantani, James M. Moore, Maria Ubiali
Published in: Journal of High Energy Physics, Issue 2026, 2026, ISSN 1029-8479
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/JHEP04(2026)068

Probing the flavour-blind SMEFT: EFT validity and the interplay of energy scales

Author(s): Luca Mantani, Veronica Sanz
Published in: Journal of High Energy Physics, Issue 2025, 2025, ISSN 1029-8479
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/JHEP06(2025)147

Connecting scales: RGE effects in the SMEFT at the LHC and future colliders

Author(s): Jaco ter Hoeve, Luca Mantani, Juan Rojo, Alejo N. Rossia, Eleni Vryonidou
Published in: Journal of High Energy Physics, Issue 2025, 2025, ISSN 1029-8479
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/JHEP06(2025)125

Tailored PDFs for new physics searches

Author(s): Ella Cole, Mark N. Costantini, Elie Hammou, Luca Mantani, Francesco Merlotti, Manuel Morales-Alvarado, Maria Ubiali
Published in: Journal of High Energy Physics, Issue 2026, 2026, ISSN 1029-8479
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/JHEP07(2026)043

Data-Driven Discovery Strategy for Standard Model Effective Field Theory Searches

Author(s): Martin Hirsch, Luca Mantani, Veronica Sanz
Published in: Physical Review Letters, Issue 135, 2026, ISSN 0031-9007
Publisher: American Physical Society (APS)
DOI: 10.1103/RSC4-68TB