2020
DOI: 10.1111/sed.12770
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Anisotropy of magnetic susceptibility as an indicator for palaeocurrent analysis in folded turbidites (Outer Western Carpathians, Poland)

Abstract: The anisotropy of magnetic susceptibility is a well-known geological proxy in revealing the directional tectonic and sedimentological features of rocks, although it can be ambiguous in situations where these two factors co-occur. This paper demonstrates the usefulness of the anisotropy of magnetic susceptibility in determining palaeotransport directions in turbiditic rocks that underwent subsequent thrusting and folding. This study demonstrates that the magnetic lineation is largely unsuitable as a palaeocurre… Show more

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Cited by 12 publications
(5 citation statements)
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“…[43]. The direction of the paleo-current inferred from the surrounding strata indicates a NE-SW-directed material transport [44]. This direction coincides with the orientation of the observed deformation, but the arrangement of grains indicates that the deformation overprinted the primary sedimentary microstructure.…”
Section: Microstructure Interpretation: a Case Studymentioning
confidence: 58%
“…[43]. The direction of the paleo-current inferred from the surrounding strata indicates a NE-SW-directed material transport [44]. This direction coincides with the orientation of the observed deformation, but the arrangement of grains indicates that the deformation overprinted the primary sedimentary microstructure.…”
Section: Microstructure Interpretation: a Case Studymentioning
confidence: 58%
“…The filtration was based on the median and 25% and 75% quartiles. Samples above the level described by the formula Q3 + 1.5 × IQR, where Q3 is the 75% quartile, and IQR is the interquartile range between the 25% and 75% quartiles, were removed due to anomalously high values of the parameters (Hodge and Austin, 2004; Stachowska et al, 2020; Teodorski et al, 2021). The IQR outliers method is not dependent on abnormally high boundary values, unlike the standard deviation method.…”
Section: Methodsmentioning
confidence: 99%
“…Parameters ε 12 and ε 23 are used to evaluate the statistical significance of L and F , where ε 12 is the confidence angle of K max in the plane joining K max and K int , and ε 23 is the confidence angle of K int in the plane joining K int and K min , following the approach of Lagroix & Banerjee (2004). For simplicity, this study considers the larger of the two confidence angles calculated for both the K max and K int axes, with their confidence angles denoted as ε 12 and ε 23 , respectively (Stachowska et al ., 2020). These confidence angles are used to arbitrarily classify L (ε 12 ) and F (ε 23 ) as follows: ε < 45° (defined) and ε > 45° (absent; Lagroix & Banerjee, 2004; Stachowska et al ., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…For simplicity, this study considers the larger of the two confidence angles calculated for both the K max and K int axes, with their confidence angles denoted as ε 12 and ε 23 , respectively (Stachowska et al ., 2020). These confidence angles are used to arbitrarily classify L (ε 12 ) and F (ε 23 ) as follows: ε < 45° (defined) and ε > 45° (absent; Lagroix & Banerjee, 2004; Stachowska et al ., 2020). All of the above parameters and experimental results were corrected, counted and calculated using the Anisoft‐4.2 and Safyr software packages (AGICO; Constable & Tauxe, 1990).…”
Section: Methodsmentioning
confidence: 99%