Measuring, Processing, and Analyzing Hysteresis Data

Greig A. Paterson, Xiang Zhao, Mike Jackson, David Heslop

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Magnetic hysteresis loops are important in theoretical and applied rock magnetism with applications to paleointensities, paleoenvironmental analysis, and tectonic studies, among many others. Information derived from these data is among the most ubiquitous rock magnetic data used by the Earth science community. Despite their prevalence, there are no general guidelines to aid scientists in obtaining the best possible data and no widely available software to allow the efficient analysis of hysteresis loop data using the most advanced and appropriate methods. Here we outline detrimental factors and simple approaches to measuring better hysteresis data and introduce a new software package called Hysteresis Loop analysis box (HystLab) for processing and analyzing loop data. Capable of reading a wide range of data formats, HystLab provides an easy-to-use interface allowing users to visualize their data and perform advanced processing, including loop centering, drift correction, high-field slope corrections, and loop fitting to improve the results from noisy specimens. A large number of hysteresis loop properties and statistics are calculated by HystLab and can be exported to text files for further analysis. All plots generated by HystLab are customizable and user preferences can be saved for future use. In addition, all plots can be exported to encapsulated postscript files that are publication ready with little or no adjustment. HystLab is freely available for download at https://github.com/greigpaterson/HystLab and in combination with our simple measurement guide should help the paleomagnetic and rock magnetic communities get the most from their hysteresis data.

Original languageEnglish (US)
Pages (from-to)1925-1945
Number of pages21
JournalGeochemistry, Geophysics, Geosystems
Volume19
Issue number7
DOIs
StatePublished - Jul 2018

Bibliographical note

Funding Information:
We thank Andy Biggin, Liao Chang, Cao Changqian, Mimi Hill, Jinhua Li, Suzhen Liu, Adrian Muxworthy, Eduard Petrovsky, Daniele Thallner, Yuhji Yamamoto, and Lake Shore Cryotronics for providing test data. Richard Bono and Peat Solheid are thanked for their thoughts and discussion. We are very grateful to Harry Reichard and Brad Dodrill of Lake Shore Cryotronics for their valuable discussion on this work and their help and advice over many years. G. A. P. acknowledges funding from a NERC Independent Research Fellowship (NE/P017266/1) and NSFC grants 41574063 and 41621004, and CAS project XDB18010203. M. J. acknowledges support of the Institute for Rock Magnetism, funded by the NSF Instruments and Facilities program and by the University of Minnesota. The data presented here are available with the HystLab software package (https:// github.com/greigpaterson/HystLab).

Funding Information:
We thank Andy Biggin, Liao Chang, Cao Changqian, Mimi Hill, Jinhua Li, Suzhen Liu, Adrian Muxworthy, Eduard Petrovsky, Daniele Thallner, Yuhji Yamamoto, and Lake Shore Cryotronics for providing test data. Richard Bono and Peat Solheid are thanked for their thoughts and discussion. We are very grateful to Harry Reichard and Brad Dodrill of Lake Shore Cryotronics for their valuable discussion on this work and their help and advice over many years. G. A. P. acknowledges funding from a NERC Independent Research Fellowship (NE/P017266/1) and NSFC grants 41574063 and 41621004, and CAS project XDB18010203. M. J. acknowledges support of the Institute for Rock Magnetism, funded by the NSF Instruments and Facilities program and by the University of Minnesota. The data presented here are available with the HystLab software package (https://github.com/greigpaterson/HystLab).

Publisher Copyright:
©2018. The Authors.

Keywords

  • MAGNETIC hysteresis
  • paleomagnetism
  • rock magnetism
  • software

Fingerprint

Dive into the research topics of 'Measuring, Processing, and Analyzing Hysteresis Data'. Together they form a unique fingerprint.

Cite this