Electroweak ALP Searches at a Muon Collider
Yunjia Bao, JiJi Fan, Lingfeng Li

TL;DR
A high-energy muon collider offers a promising environment for detecting TeV-scale axion-like particles through electroweak interactions, surpassing current collider sensitivities and exploring new parameter space.
Contribution
This paper provides detailed analysis and projected constraints for ALP searches at a muon collider, highlighting its advantages over existing colliders in probing EW gauge boson couplings.
Findings
Muon collider can probe ALP couplings an order of magnitude better than HL-LHC.
Electroweak VBF and associated production channels are effective for ALP detection.
Projected constraints extend the accessible ALP parameter space significantly.
Abstract
A high-energy muon collider with center-of-mass energy around and above 10 TeV is also a vector boson fusion (VBF) machine, due to the significant virtual electroweak (EW) gauge boson content of high-energy muon beams. This feature, together with the clean environment, makes it an ideal collider to search for TeV-scale axion-like particles (ALP) coupling to Standard Model EW gauge bosons, which current and other future colliders have limited sensitivities to. We present detailed analyses of heavy ALP searches in both the VBF and associated production channels at a muon collider with different running benchmarks. We also show projected constraints on the ALP couplings in the effective field theory, including an operator with its coefficient not determined by the mixed Peccei-Quinn anomaly. We demonstrate that a muon collider could probe new ALP parameter space and push the sensitivities…
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
TopicsDark Matter and Cosmic Phenomena · Particle physics theoretical and experimental studies · Computational Physics and Python Applications
