28 August 2022 to 2 September 2022
Science and Technology Campus, University of Parma
Europe/Rome timezone
The Open Access Conference Proceedings is Now Available!

MuSpinSim: spin dynamics calculations for muon science.

O-24
31 Aug 2022, 11:00
20m
Science and Technology Campus, University of Parma

Science and Technology Campus, University of Parma

University of Parma, Italy
Oral Site calculations Oral contributions

Speaker

Leandro Liborio (Scientific Computing Department, Rutherford Appleton)

Description

MuSpinSim is a Python software to simulate muon ($\mu$SR) experiments. In particular, it simulates the spin dynamics of a system of a muon plus other spins such as electrons and atomic nuclei. MuSpinSim can simulate various common experimental setups used in $\mu$SR, such as zero, transverse and longitudinal field experiments; and it can simulate $\mu$SR experiments that are resolved in time, field, or temperature. Furthermore, MuSpinSim can account for the effects of hyperfine, dipolar, quadrupolar and Zeeman couplings, as well as simulate quantum systems exchanging energy with the environment with the Lindblad master equation. Finally, MuSpinSim can be used to fit experimental $\mu$SR data with simulations that use all of the capabilities described above. The fittings can be run in parallel on multiple cores, which significantly reduces the computational cost of the most expensive tasks. In this work, we present the Python package MuSpinSim with all the utilities it provides to facilitate simulations of $\mu$SR experiments, demonstrate the effectiveness of the method with some chosen example systems and show a prototype application of MuonGalaxy, a web-based implementation of MuSpinSim that is based on the Galaxy platform.

Primary author

Leandro Liborio (Scientific Computing Department, Rutherford Appleton)

Co-authors

Dr Simone Sturniolo (Scientific Computing Department, STFC, UKRI, UK) Mr Eli Chadwick (Scientific Computing Department, STFC, UKRI, UK) Mr Jyothish Thomas (Scientific Computing Department, STFC, UKRI, UK) Mr Anish Mudaraddi (Scientific Computing Department, STFC, UKRI, UK)

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