Which is Moving?—Pinning Down the Origin of Fluctuations in Muon Spin Relaxation—
© The Physical Society of Japan
This article is on
Distinguishing Ion Dynamics from Muon diffusion in Muon Spin Relaxation
(JPSJ Editors' Choice)
J. Phys. Soc. Jpn.
93,
044602
(2024)
.
The study demonstrated that we can distinguish between the diffusion motion of the muon itself and the motion of the surrounding ions in muon spin relaxation.

In the muon spin relaxation (µSR) measurements, the distribution (described by linewidth D) of internal magnetic field H(t) and its temporal fluctuations (with mean fluctuation rate n) can be observed by implanting spin-polarized muons into a material. However, distinguishing whether the fluctuations are caused by the diffusive motion of the muon itself or the motion of the ions around it, is difficult. In this study, by reviewing the strong collision model, which is an assumption used to describe spin relaxation, we observed that the difference in the cause of the fluctuation appeared as a difference in the spin relaxation function. The new model reproduces well the spin relaxation owing to the local rotational motion of cation molecules observed in hybrid perovskites; this opens the way to distinguish the cause of fluctuations solely from the µSR data.
When a muon exhibits jump-diffusion in a nonmagnetic material, the configuration of the nuclear magnetic moments around the muon changes simultaneously before and after the site change. The fluctuation of H(t) owing to these jumps is well approximated by the strong collision model [where the autocorrelation of H(t) is given by equation H(t)H(0)~D2exp(-nt)], and the time evolution of the muon spin polarization, Gz(t), is described by the dynamical Kubo–Toyabe (KT) relaxation function. However, if the H(t) fluctuations are due to the jump diffusion of ions, only a part of the ion configuration around the muon changes in one jump, and the strong collision model is not necessarily expected to be applicable.
Therefore, we performed Monte Carlo simulations for Gz(t) using a model in which the fluctuations of H(t) owing to ion motion were described by an Edwards–Anderson type autocorrelation function with the quasi-static and dynamic components of the autocorrelation separated by parameter Q [where H(t)H(0)~QD2exp(-nt) + (1-Q)D2], and Gz(t) was noted to deviate significantly from the KT function. To further verify this model, we compared the µSR spectra observed in the hybrid organic–inorganic perovskite FAPbI3 [FA refers to HC(NH2)2] with the simulation results. The least-squares curve fitting results showed excellent agreement with the model with Q = 0.947(3), yielding reasonable fluctuation frequencies for the dynamical component. This result opens the possibility of experimentally distinguishing between fluctuations owing to the dynamics of ions around muons and fluctuations owing to the self-diffusion of muons.
Written by T. U. Ito and R. Kadono
Distinguishing Ion Dynamics from Muon diffusion in Muon Spin Relaxation
(JPSJ Editors' Choice)
J. Phys. Soc. Jpn.
93,
044602
(2024)
.
Share this topic
Fields
Related Articles
-
Unveiling the Nodal Topology of the Spin-Triplet Superconductor Candidate UTe2
Structure and mechanical and thermal properties in condensed matter
Superconductivity
2026-4-13
Using high-quality UTe2 (Tc = 2.1 K), we identify its nodal gap structure. Field-angle‑resolved specific‑heat reveals a b-axis singularity, supporting spin-triplet superconductivity with nodes along the b axis.
-
Toward Clarification of Physical Properties of Quasicrystals: Noncollinear Magnetic Orders in Icosahedral Approximants
Cross-disciplinary physics and related areas of science and technology
Electronic transport in condensed matter
Magnetic properties in condensed matter
2026-4-6
An effective model based on magnetic anisotropy arising from a crystalline electric field is constructed for icosahedral approximants, which not only explains measured ferromagnets and antiferromagnets but also reveals new types of noncollinear magnetic orders.
-
Creation of Chiral Phonons−How Lattice Chirality Imparts Angular Momentum to Phonons?
Structure and mechanical and thermal properties in condensed matter
2026-3-2
Chiral crystals host phonons with intrinsic angular momentum, whose quantization and energy splitting reflect the lattice chirality and reveal the microscopic features of interatomic interactions.
-
Topological Recast of Vortex Structures in Human Heart Blood Flow
Cross-disciplinary physics and related areas of science and technology
Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics
2026-2-16
We developed a new topological data analysis method to objectively identify the cardiac vortex structures. The method provides robust quantitative metrics for advancing cardiovascular diagnostics.
-
Rethinking Replica Analysis of Learning
Cross-disciplinary physics and related areas of science and technology
Statistical physics and thermodynamics
2026-1-19
The statistical physics analysis of learning parametric models was revisited by combining the replica method with a grand canonical ensemble and variational approach, enabling prediction error estimation for learning systems with real data.
