Asymmetric muon-antimuon emission from $Z^0$ decays: a clear magnetometer in relativistic heavy-ion collisions
Alejandro Ayala, Ana Julia Mizher, and Javier Rend\'on

TL;DR
The paper proposes using asymmetric muon-antimuon emission from Z^0 decays as a clear indicator of strong magnetic fields in early-stage relativistic heavy-ion collisions, revealing anisotropic emission patterns and spectral features.
Contribution
It introduces a novel method to detect strong magnetic fields in heavy-ion collisions via Z^0 decay dimuon pairs, highlighting their anisotropic emission and spectral characteristics.
Findings
Dimuon pairs are mainly emitted out of plane, indicated by negative v_2.
The antimuon transverse momentum peaks higher than the muon peak.
The Z^0 spectral function remains largely undistorted.
Abstract
We show that a very clear signal of the presence of a strong magnetic field during the early stage of a high-energy heavy-ion collision is provided by the decay of the into dimuon pairs. We find that the process is highly anisotropic, producing pairs mainly out of plane, as signaled by a negative value of , and leads to an antimuon transverse momentum distribution which peaks at a higher value of the transverse momentum compared to the peak of the muon transverse momentum distribution. We also show that the process does not produce a significant distortion of the spectral function. The signal can be identified by comparing the dimuon-invariant mass and the individual muon and antimuon spectra produced in semicentral heavy-ion collisions with the corresponding scaled spectra produced in p+p collisions at the peak.
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 · High-Energy Particle Collisions Research · Computational Physics and Python Applications
