We present an accurate and efficient method to calculate the effect of random fluctuations of the local field at the muon, for instance in the case of muon diffusion, within the framework of the strong collision approximation. The method is based on a reformulation of the Markovian process over a discretized time base, leading to a summation equation for the muon polarization function which is solved by discrete Fourier transform. The latter is formally analogous, though not identical, to the integral equation of the original continuous-time model, solved by Laplace transform. With real-case parameter values, the solution of the discrete-time strong collision model is found to approximate the continuous-time solution with excellent accuracy even with a coarse-grained time sampling. Its calculation by the fast Fourier transform algorithm is very efficient and suitable for real time fitting of experimental data even on a slow computer.
A numerical method to calculate the muon relaxation function in the presence of diffusion / Allodi, Giuseppe; DE RENZI, Roberto. - In: PHYSICA SCRIPTA. - ISSN 0031-8949. - 89:11(2014), pp. 115201-1-115201-8. [10.1088/0031-8949/89/11/115201]
A numerical method to calculate the muon relaxation function in the presence of diffusion
ALLODI, Giuseppe;DE RENZI, Roberto
2014-01-01
Abstract
We present an accurate and efficient method to calculate the effect of random fluctuations of the local field at the muon, for instance in the case of muon diffusion, within the framework of the strong collision approximation. The method is based on a reformulation of the Markovian process over a discretized time base, leading to a summation equation for the muon polarization function which is solved by discrete Fourier transform. The latter is formally analogous, though not identical, to the integral equation of the original continuous-time model, solved by Laplace transform. With real-case parameter values, the solution of the discrete-time strong collision model is found to approximate the continuous-time solution with excellent accuracy even with a coarse-grained time sampling. Its calculation by the fast Fourier transform algorithm is very efficient and suitable for real time fitting of experimental data even on a slow computer.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.