BSM global fits with GAMBIT: a Dark Matter EFT fit
Tom\'as E. Gonzalo
TL;DR
This paper presents the first comprehensive global fit of a dark matter effective field theory using GAMBIT, exploring extensive parameter space with current experimental constraints from detection, relic abundance, and collider searches.
Contribution
It introduces a novel application of GAMBIT to perform a full global fit of a dark matter EFT including operators up to dimension 7, incorporating diverse experimental data.
Findings
Identified viable parameter regions consistent with current constraints.
Demonstrated the impact of various operators on dark matter detection signals.
Provided a comprehensive analysis of dark matter EFT parameter space.
Abstract
In this conference paper I present the first full global fit of a dark matter effective field theory with the global fitting framework GAMBIT. I show the results of exhaustive parameter space explorations of the effective dark matter model, including a general set of operators up to dimension 7, and using the most up-to-date constraints from direct and indirect detection of dark matter, relic abundance requirements and collider searches for dark matter candidates.
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 · Dark Matter and Cosmic Phenomena · Cosmology and Gravitation Theories