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SquidLab : a user-friendly program for background subtraction and fitting of magnetization data
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Coak, Matthew John, Liu, Cheng, Jarvis, David M., Park, Seunghyun, Cliffe, Matthew J. and Goddard, Paul A. (2020) SquidLab : a user-friendly program for background subtraction and fitting of magnetization data. Review of Scientific Instruments, 91 (2). 023901. doi:10.1063/1.5137820 ISSN 0034-6748.
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WRAP-SquidLab-a-user-friendly-program-background-subtraction-fitting-magnetization-data-Coak-2020.pdf - Accepted Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (1668Kb) |
Official URL: https://doi.org/10.1063/1.5137820
Abstract
We present an open-source program free to download for academic use with a full user-friendly graphical interface for performing flexible and robust background subtraction and dipole fitting on magnetization data. For magnetic samples with small moment sizes or sample environments with large or asymmetric magnetic backgrounds, it can become necessary to separate background and sample contributions to each measured raw voltage measurement before fitting the dipole signal to extract magnetic moments. Originally designed for use with pressure cells on a Quantum Design MPMS3 SQUID magnetometer, SquidLab is a modular object-oriented platform implemented in Matlab with a range of importers for different widely available magnetometer systems (including MPMS, MPMS-XL, MPMS-IQuantum, MPMS3, and S700X models) and has been tested with a broad variety of background and signal types. The software allows background subtraction of baseline signals, signal preprocessing, and performing fits to dipole data using Levenberg–Marquardt non-linear least squares or a singular value decomposition linear algebra algorithm that excels at picking out noisy or weak dipole signals. A plugin system allows users to easily extend the built-in functionality with their own importers, processes, or fitting algorithms. SquidLab can be downloaded, under Academic License, from the University of Warwick depository (wrap.warwick.ac.uk/129665).
| Item Type: | Journal Article | |||||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software Q Science > QC Physics |
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| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | SquidLab , Computer programming, Magnetism, Magnetism -- Data processing, Magnetism -- Computer simulation, Magnetometers | |||||||||||||||
| Journal or Publication Title: | Review of Scientific Instruments | |||||||||||||||
| Publisher: | American Institute of Physics | |||||||||||||||
| ISSN: | 0034-6748 | |||||||||||||||
| Official Date: | 2020 | |||||||||||||||
| Dates: |
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| Volume: | 91 | |||||||||||||||
| Number: | 2 | |||||||||||||||
| Article Number: | 023901 | |||||||||||||||
| DOI: | 10.1063/1.5137820 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||
| Date of first compliant deposit: | 21 January 2020 | |||||||||||||||
| Date of first compliant Open Access: | 31 January 2020 | |||||||||||||||
| RIOXX Funder/Project Grant: |
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