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IsoplotR: A free and open toolbox for geochronology
Open accessAbstract
This paper reviews the basic principles of radiometric geochronology as implemented in a new software package called IsoplotR , which was designed to be free, flexible and future-proof. IsoplotR is free because it is written in non-proprietary languages ( R , Javascript and HTML ) and is released under the GPL license. The program is flexible because its graphical user interface (GUI) is separated from the command line functionality, and because its code is completely open for inspection and modification. To increase future-proofness, the software is built on free and platform-independent foundations that adhere to international standards, have existed for several decades, and continue to grow in popularity. IsoplotR currently includes functions for U-Pb, Pb-Pb, 40 Ar/ 39 Ar, Rb-Sr, Sm-Nd, Lu-Hf, Re-Os, U-Th-He, fission track and U-series disequilibrium dating. It implements isochron regression in two and three dimensions, visualises multi-aliquot datasets as cumulative age distributions, kernel density estimates and radial plots, and calculates weighted mean ages using a modified Chauvenet outlier detection criterion that accounts for the analytical uncertainties in heteroscedastic datasets. Overdispersion of geochronological data with respect to these analytical uncertainties can be attributed to either a proportional underestimation of the analytical uncertainties, or to an additive geological scatter term. IsoplotR keeps track of error correlations of the isotopic ratio measurements within aliquots of the same samples. It uses a statistical framework that will allow it to handle error correlations between aliquots in the future. Other ongoing developments include the implementation of alternative user interfaces and the integration of IsoplotR with other data reduction software.
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Cites
The Statistical Analysis of Compositional Data
Aitchison, J. (1986) · doi:10.1007/978-94-009-4109-0 · Cited by 4,383
Kernel density estimation via diffusion
Botev, Z. I., Grotowski, J. F., & Kroese, D. P. (2010) · The Annals of Statistics · doi:10.1214/10-aos799 · Cited by 1,689
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Zindler, A., & Hart, S. (1986) · Annual Review of Earth and Planetary Sciences · doi:10.1146/annurev.ea.14.050186.002425 · Cited by 4,456
Interpreting and reporting 40Ar/39Ar geochronologic data
Schaen, A. J., Jicha, B. R., Hodges, K. V., Vermeesch, P., Stelten, M. E., Mercer, C. M., Phillips, D., Rivera, T. A., Jourdan, F., Matchan, E. L., et al. (2021) · GSA Bulletin · doi:10.1130/b35560.1 · Cited by 283
Self-citationLooser, N., Madritsch, H., Guillong, M., Laurent, O., Wohlwend, S., & Bernasconi, S. M. (2021) · Tectonics · doi:10.1029/2020tc006439 · Cited by 72
Gao, P., & Santosh, M. (2019) · Precambrian Research · doi:10.1016/j.precamres.2019.105429 · Cited by 53
The exhumation of the Indo-Burman Ranges, Myanmar
Najman, Y., Sobel, E. R., Millar, I., Stockli, D. F., Govin, G., Lisker, F., Garzanti, E., Limonta, M., Vezzoli, G., Copley, A., et al. (2020) · Earth and Planetary Science Letters · doi:10.1016/j.epsl.2019.115948 · Cited by 48
Metadata
- Authors
- Vermeesch, P.
- Venue
- Geoscience Frontiers
- Publisher
- Elsevier BV
- Published
- 2018-09
- Volume
- 9
- Issue
- 5
- Pages
- 1479-1493
- ISSN
- 1674-9871 (ISSN-L)
- OpenAlex
- W2796600848
- Cited by
- 3,537
- References
- 2
- FWCI
- 123.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
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