Cargando…
Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method
Magnetic force microscopy has unsurpassed capabilities in analysis of nanoscale and microscale magnetic samples and devices. Similar to other Scanning Probe Microscopy techniques, quantitative analysis remains a challenge. Despite large theoretical and practical progress in this area, present method...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405750/ https://www.ncbi.nlm.nih.gov/pubmed/30846777 http://dx.doi.org/10.1038/s41598-019-40477-x |
_version_ | 1783401155276046336 |
---|---|
author | Nečas, David Klapetek, Petr Neu, Volker Havlíček, Marek Puttock, Robert Kazakova, Olga Hu, Xiukun Zajíčková, Lenka |
author_facet | Nečas, David Klapetek, Petr Neu, Volker Havlíček, Marek Puttock, Robert Kazakova, Olga Hu, Xiukun Zajíčková, Lenka |
author_sort | Nečas, David |
collection | PubMed |
description | Magnetic force microscopy has unsurpassed capabilities in analysis of nanoscale and microscale magnetic samples and devices. Similar to other Scanning Probe Microscopy techniques, quantitative analysis remains a challenge. Despite large theoretical and practical progress in this area, present methods are seldom used due to their complexity and lack of systematic understanding of related uncertainties and recommended best practice. Use of the Tip Transfer Function (TTF) is a key concept in making Magnetic Force Microscopy measurements quantitative. We present a numerical study of several aspects of TTF reconstruction using multilayer samples with perpendicular magnetisation. We address the choice of numerical approach, impact of non-periodicity and windowing, suitable conventions for data normalisation and units, criteria for choice of regularisation parameter and experimental effects observed in real measurements. We present a simple regularisation parameter selection method based on TTF width and verify this approach via numerical experiments. Examples of TTF estimation are shown on both 2D and 3D experimental datasets. We give recommendations on best practices for robust TTF estimation, including the choice of windowing function, measurement strategy and dealing with experimental error sources. A method for synthetic MFM data generation, suitable for large scale numerical experiments is also presented. |
format | Online Article Text |
id | pubmed-6405750 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64057502019-03-11 Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method Nečas, David Klapetek, Petr Neu, Volker Havlíček, Marek Puttock, Robert Kazakova, Olga Hu, Xiukun Zajíčková, Lenka Sci Rep Article Magnetic force microscopy has unsurpassed capabilities in analysis of nanoscale and microscale magnetic samples and devices. Similar to other Scanning Probe Microscopy techniques, quantitative analysis remains a challenge. Despite large theoretical and practical progress in this area, present methods are seldom used due to their complexity and lack of systematic understanding of related uncertainties and recommended best practice. Use of the Tip Transfer Function (TTF) is a key concept in making Magnetic Force Microscopy measurements quantitative. We present a numerical study of several aspects of TTF reconstruction using multilayer samples with perpendicular magnetisation. We address the choice of numerical approach, impact of non-periodicity and windowing, suitable conventions for data normalisation and units, criteria for choice of regularisation parameter and experimental effects observed in real measurements. We present a simple regularisation parameter selection method based on TTF width and verify this approach via numerical experiments. Examples of TTF estimation are shown on both 2D and 3D experimental datasets. We give recommendations on best practices for robust TTF estimation, including the choice of windowing function, measurement strategy and dealing with experimental error sources. A method for synthetic MFM data generation, suitable for large scale numerical experiments is also presented. Nature Publishing Group UK 2019-03-07 /pmc/articles/PMC6405750/ /pubmed/30846777 http://dx.doi.org/10.1038/s41598-019-40477-x Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nečas, David Klapetek, Petr Neu, Volker Havlíček, Marek Puttock, Robert Kazakova, Olga Hu, Xiukun Zajíčková, Lenka Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method |
title | Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method |
title_full | Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method |
title_fullStr | Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method |
title_full_unstemmed | Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method |
title_short | Determination of tip transfer function for quantitative MFM using frequency domain filtering and least squares method |
title_sort | determination of tip transfer function for quantitative mfm using frequency domain filtering and least squares method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6405750/ https://www.ncbi.nlm.nih.gov/pubmed/30846777 http://dx.doi.org/10.1038/s41598-019-40477-x |
work_keys_str_mv | AT necasdavid determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT klapetekpetr determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT neuvolker determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT havlicekmarek determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT puttockrobert determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT kazakovaolga determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT huxiukun determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod AT zajickovalenka determinationoftiptransferfunctionforquantitativemfmusingfrequencydomainfilteringandleastsquaresmethod |