4.7 Article

UNDI: An open-source library to simulate muon-nuclear interactions in solids

期刊

COMPUTER PHYSICS COMMUNICATIONS
卷 260, 期 -, 页码 -

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ELSEVIER
DOI: 10.1016/j.cpc.2020.107719

关键词

Muon spin rotation and relaxation spectroscopy; Spin Hamiltonian; Data analysis; Density Functional Theory; Magnetism; Python 3

资金

  1. ISCRA C allocation, Italy at CINECA [HP10CJLG7W]

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UNDI is an open-source program for analyzing the time dependent spin polarization of an isolated muon interacting with surrounding nuclear magnetic dipoles in standard experiments. The tool, combined with ab initio estimations of the electric field gradient at the nuclei, can be a valuable complement for identifying muon sites in crystals with large nuclear magnetic moments. It allows for investigating physical properties influenced by electric field gradients, such as avoided level crossing resonance and charge ordered states, and has been shown to be efficient and effective in realistic examples.
We present UNDI, an open-source program to analyze the time dependent spin polarization of an isolated muon interacting with the surrounding nuclear magnetic dipoles in the context of standard muon spin rotation and relaxation spectroscopy experiments. The code can perform both exact and approximated estimates of the muon polarization function in presence of external fields and electric field gradients on the nuclei surrounding the muon. We show that this tool, combined to ab initio estimations of the electric field gradient at the nuclei interacting with the muon, can become a valuable complement to supercell based identifications of muon sites in crystals when large nuclear magnetic moments are present in the sample. In addition, it allows to properly investigate physical properties influenced by the presence of a non negligible electric field gradient such as avoided level crossing resonance, nature of the ground state, disentanglement of electronic and nuclear magnetic moments or charge ordered states. The efficiency and effectiveness of this method is shown along the lines of three realistic examples. (C) 2020 Elsevier B.V. All rights reserved.

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