On the Run from the Dark Side of the Muon
Pouya Asadi, Austin Batz, Samuel Homiller, Tien-Tien Yu

TL;DR
This paper proposes a novel method using muon parton distribution functions to detect new physics beyond the Standard Model at future muon colliders, demonstrating its effectiveness for certain gauge boson masses.
Contribution
It introduces a PDF-based analysis strategy for probing beyond Standard Model physics in muon colliders, specifically applied to $L_{}-L_{ au}$ gauge bosons, outperforming traditional methods.
Findings
PDF-based approach is effective for 50-100 GeV gauge bosons.
Outperforms direct production searches in specified mass range.
Highlights muon PDFs as a promising new search avenue.
Abstract
We present an analysis strategy for probing physics beyond the Standard Model via modifications to the parton distribution functions (PDFs) in a muon beam, which measurably alter the kinematics of all hard processes at a future muon collider. High-energy muon colliders represent an opportunity to probe new physics using precision measurements and novel search strategies. At sufficiently high energies, light particles act as ``constituents'' of the muon described by PDFs. As a concrete case study, we apply this framework to an gauge boson and demonstrate that, for masses in the range of approximately 50--100 GeV, this indirect PDF-based approach outperforms traditional searches relying on direct gauge boson production. These results highlight muon PDF probes as a powerful and promising avenue for beyond the Standard Model physics searches at a future muon collider.
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 · Computational Physics and Python Applications · Particle Detector Development and Performance
