PMTOOLS: New Application for Paleomagnetic Data Analysis

封面

如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

Abstract

—This paper introduces PMTools (https://pmtools.ru), a novel cross-platform open-source web application designed for the analysis of paleomagnetic data. Our software offers a user-friendly interface and supports the most commonly used data formats in paleomagnetism, including .pmd, .dir, .pmm, .rs3, .squid, .vgp, and .gpml. It encompasses all the necessary functionalities for conducting principal component analysis of natural remanent magnetization and computing mean paleomagnetic directions along with corresponding virtual geomagnetic (paleomagnetic) poles. PMTools facilitates the application of various paleomagnetic tests to user data, such as the fold test, conglomerate test, and reversals test. Notably, the application allows for seamless import and export of paleomagnetic data (tables) in formats compatible with .csv and MS Excel. Additionally, all generated figures can be exported as high-quality vector graphics in .svg format, specifically designed for direct integration into publications and presentations. Furthermore, PMTools enables the export of sets of paleomagnetic poles in GMap and GPlates software formats, enabling researchers to promptly use their paleomagnetic data for paleotectonic reconstructions. PMTools has an intuitive interface, customizable hotkeys, and an extensive array of graph elements, all of which contribute to making PMTools an appealing, cutting-edge tool for processing and analyzing the results of paleomagnetic studies.

作者简介

I. Efremov

Lomonosov Moscow State University, Faculty of Geology; Schmidt Institute of Physics of the Earth, Russian Academy of Sciences

Email: roman.veselovskiy@ya.ru
Russia, Moscow; Russia, Moscow

R. Veselovskiy

Lomonosov Moscow State University, Faculty of Geology; Schmidt Institute of Physics of the Earth, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: roman.veselovskiy@ya.ru
Russia, Moscow; Russia, Moscow

参考

  1. Храмов А.Н., Гончаров Г.И., Комиссарова Р.А. и др. Палеомагнитология. Л.: Недра. 1982. 312 с.
  2. Chadima M., Hrouda F. Remasoft 3.0 a user-friendly paleomagnetic data browser and analyzer // Travaux G’eophysiques. 2006. V. 27. P. 20–21.
  3. Cogne J.P. PaleoMac: a Macintosh™ application for treating paleomagnetic data and making plate reconstructions // Geochemistry, Geophysics, Geosystems. 2003. V. 4. № 1. https://doi.org/10.1029/2001GC000227
  4. Collinson D. (ed.). Methods in rock magnetism and palaeomagnetism: techniques and instrumentation. Springer Science & Business Media. 2013. 503 p.
  5. Kirschvink J. L. The least-square line and plane and the analysis of paleomagnetic data // Geophysical Journal International. 1980. V. 62(3). P. 699–718. https://doi.org/10.1111/j.1365-246X.1980.tb02601.x
  6. Kirschvink J.L., Kopp R.E., Raub T.D., Baumgartner C.T., Holt J.W. Rapid, precise, and high-sensitivity acquisition of paleomagnetic and rock-magnetic data: Development of a low-noise automatic sample changing system for superconducting rock magnetometers // Geochemistry, Geophysics, Geosystems. 2008. V. 9. P. Q05Y01. https://doi.org/10.1029/2007GC001856
  7. Enkin R.J. A computer program package for analysis and presentation of paleomagnetic data. Geological Survey of Canada. 1994. 16 p.
  8. Enkin R.J. Paleomagnetism data analysis: Version 4.2. Geological Survey of Canada. 2004.
  9. McFadden P.L., McElhinny M.W. Classification of the reversal test in palaeomagnetism // Geophys. J. Int. 1990. V. 103. № 3. P. 725–729. https://doi.org/10.1111/j.1365-246X.1990.tb05683.x
  10. Koymans M.R., Langereis C.G., Pastor-Galán D., van Hinsbergen D.J.J. Paleomagnetism.org: An online multi-platform open source environment for paleomagnetic data analysis // Computers & Geosciences. 2016. V. 93. P. 127–137. https://doi.org/10.1016/j.cageo.2016.05.007
  11. McFadden P.L., McElhinny M.W. Classification of the reversal test in palaeomagnetism // Geophysical J. International. 1990. V. 103. № 3. P. 725–729.
  12. Muller R.D., Cannon J., Qin X., Watson R.J., Gurnis M., Williams S. et al. GPlates: building a virtual Earth through deep time // Geochemistry, Geophysics, Geosystems. 2018. V. 19. № 7. P. 2243–2261. https://doi.org/10.1029/2018GC007584
  13. Tauxe L. Essentials of paleomagnetism. University of California Press. 2010.
  14. Tauxe L., Shaar R., Jonestrask L., Swanson-Hysell N.L., Minnett R., Koppers A.A.P., Constable C.G., Jarboe N., Gaastra K., Fairchild L. PmagPy: Software package for paleomagnetic data analysis and a bridge to the Magnetics Information Consortium (MagIC) Database // Geochemistry, Geophysics, Geosystems. 2016. V. 17. № 6. P. 2450–2463. https://doi.org/10.1002/2016GC006307
  15. Torsvik T., Smethurst M. GMAP v.32: Geographic mapping and palaeoreconstruction package. Norges geologiske underskelse. 1998. 65 p.
  16. Veselovskiy R.V., Dubinya N.V., Ponomarev A.V., Fokin I.V., Patonin A.V., Pasenko A.M., Fetisova A.M., Matveev M.A., Afinogenova N.A., Rud’ko D.V., Chistyakova A.V. Shared Research Facilities “Petrophysics, Geomechanics and Paleomagnetism” of the Schmidt Institute of Physics of the Earth RAS // Geodynamics & Tectonophysics. 2022. V. 13(2). P. 0579. https://doi.org/10.5800/GT-2022-13-2-0579
  17. Watson G. S. A test for randomness of directions // Geophysical Supplements to the Monthly Notices of the Royal Astronomical Society. 1956. V. 7. № 4. P. 160–161.

补充文件

附件文件
动作
1. JATS XML
下载
2.

下载 (158KB)
索引源数据
3.

下载 (931KB)
索引源数据
4.

下载 (1MB)
索引源数据
5.

下载 (716KB)
索引源数据

版权所有 © Russian Academy of Sciences, 2023

##common.cookie##