2014
DOI: 10.1016/j.tecto.2014.05.013
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Paleomagnetic dating: Methods, MATLAB software, example

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Cited by 5 publications
(4 citation statements)
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“…An additional opportunity comes from the method giving posterior distributions for pole ages. There is a long history of paleomagnetists comparing undated (or poorly dated) paleomagnetic poles with APWPs to gain insight on their age (Hnatyshin & Kravchinsky, 2014; McCabe et al., 1984). These methods typically rely on comparison between designated pole pairs or consider the reference APWP to not have uncertainty.…”
Section: Challenges and Opportunities In The Application Of Paleomagn...mentioning
confidence: 99%
“…An additional opportunity comes from the method giving posterior distributions for pole ages. There is a long history of paleomagnetists comparing undated (or poorly dated) paleomagnetic poles with APWPs to gain insight on their age (Hnatyshin & Kravchinsky, 2014; McCabe et al., 1984). These methods typically rely on comparison between designated pole pairs or consider the reference APWP to not have uncertainty.…”
Section: Challenges and Opportunities In The Application Of Paleomagn...mentioning
confidence: 99%
“…The increasing number of high-resolution regional reference curves and better-constrained global models that have emerged in the past decades, as well as increased study of global paleointensity records, has opened a wide geographic range of volcanoes for numerical PSV dating (e.g., Panovska et al 2018;Di Chiara 2020;Béguin et al 2021;Mochizuki et al 2021). The development of PSV dating tools (Pavón-Carrasco et al 2011;Hnatyshin and Kravchinsky 2014) that use Bayesian statistics to compare the results of volcanic samples to the reference curve has allowed recent studies to obtain one or multiple discrete age ranges for a specific result, allowing for more precise dating of historic and prehistoric eruptions (Roperch et al 2015;Yasuda et al 2020).…”
Section: From Relative To Numerical Datingmentioning
confidence: 99%
“…In such times, it is possible to use paleosecular variation (PSV) records to provide ages (28,30,31). Archaeomagnetic dating is based on the statistical comparison of the archaeomagnetic data with the expected values from a reference regional curve (32,33).…”
Section: Significancementioning
confidence: 99%