Articles | Volume 6, issue 2
Solid Earth, 6, 475–495, 2015
https://doi.org/10.5194/se-6-475-2015

Special issue: Deformation mechanisms and ductile strain localization in...

Solid Earth, 6, 475–495, 2015
https://doi.org/10.5194/se-6-475-2015

Research article 07 May 2015

Research article | 07 May 2015

An evaluation of different measures of dynamically recrystallized grain size for paleopiezometry or paleowattometry studies

M. A. Lopez-Sanchez and S. Llana-Fúnez M. A. Lopez-Sanchez and S. Llana-Fúnez
  • Departamento de Geología, Universidad de Oviedo, Oviedo, Spain

Abstract. Paleopiezometry and paleowattometry studies are essential to validate models of lithospheric deformation and therefore increasingly common in structural geology. These studies require a single measure of dynamically recrystallized grain size in natural mylonites to estimate the magnitude of differential paleostress (or the rate of mechanical work). This contribution tests the various measures of grain size used in the literature and proposes the frequency peak of a grain size distribution as the most robust estimator for paleopiezometry or paleowattometry studies. The novelty of the approach resides in the use of the Gaussian kernel density estimator as an alternative to the classical histograms, which improves reproducibility. A free, open-source, easy-to-handle script named GrainSizeTools ( http://www.TEOS-10.org) was developed with the aim of facilitating the adoption of this measure of grain size in paleopiezometry or paleowattometry studies. The major advantage of the script over other programs is that by using the Gaussian kernel density estimator and by avoiding manual steps in the estimation of the frequency peak, the reproducibility of results is improved.

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Short summary
This contribution tests the various measures of grain size used in the paleopiezometry and proposes the frequency peak of the apparent 2D grain size distribution as the most robust estimator. The novelty of the approach resides in the use of the Gaussian kernel density estimator as an alternative to the classical histograms, which improves reproducibility. A free and easy-to-handle script (http://bit.ly/grainSizeTools) was developed with the aim of facilitating the adoption of this measure.