A paleomagnetic and paleointensity study on Pleistocene and Pliocene basaltic flows from the Djavakheti Highland (Southern Georgia, Caucasus)

Calvo‐Rathert, Manuel; Goguitchaichvili, Avto; Bógalo, María Felicidad; Vegas‐Tubía, Néstor; Carrancho, Ángel; Sologashvili, Jemal

doi:10.1016/j.pepi.2011.03.008

Cited by 19 publications

(11 citation statements)

References 41 publications

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“…Data were retrieved from the global absolute paleointensity (PINT) database (Biggin et al, 2009) and had to satisfy the following conditions: (i) Paleointesities had to be obtained with a Thellier-type method; (ii) pTRM checks to attest the absence of alteration during heatings must have been performed during the determination. Selected data stem from different latitudes (Juarez and Tauxe, 2000;Tauxe, 2006;Lawrence et al, 2009) like Hawaii (Coe et al, 1984;Leonhardt et al, 2009), Alaska (Stone and Layer, 2006), Antarctica (Tauxe et al, 2004), and more specifically from another sequence located in the Djavakheti Highland in the Caucasus (Calvo-Rathert et al, 2011). As previously mentioned, it can be observed that only some of the values of the Virtual Dipole Moment obtained in this work are similar to those reported by Calvo-Rathert et al (2011) for the same region and approximately the same age (1.9 Ma, Table 2).…”

Section: Sample Sr12-7supporting

confidence: 74%

“…Selected data stem from different latitudes (Juarez and Tauxe, 2000;Tauxe, 2006;Lawrence et al, 2009) like Hawaii (Coe et al, 1984;Leonhardt et al, 2009), Alaska (Stone and Layer, 2006), Antarctica (Tauxe et al, 2004), and more specifically from another sequence located in the Djavakheti Highland in the Caucasus (Calvo-Rathert et al, 2011). As previously mentioned, it can be observed that only some of the values of the Virtual Dipole Moment obtained in this work are similar to those reported by Calvo-Rathert et al (2011) for the same region and approximately the same age (1.9 Ma, Table 2). Paleointensity data, reported in Table 3, are scattered, and therefore it is not possible to observe a firm correlation, between the latter and the paleointensity data obtained in this work.…”

Section: Sample Sr12-7supporting

confidence: 74%

“…Camps et al (1996), Gogichaishvili et al (2000Gogichaishvili et al ( , 2009, Calvo-Rathert et al (2011, 2013 and the present study. Paleointensity results from Gogichaishvili et al (2000) without specific age data have been omitted.…”

Section: Sample Sr12-7supporting

confidence: 68%

“…Fig. 10 shows paleointensity data obtained in previous studies (Camps et al, 1996;Gogichaishvili et al, 2000;Goguitchaichvili et al, 2009;Calvo-Rathert et al, 2011, 2013, with all these determinations having been performed on Pleistocene and Pliocene volcanic flows using Thellier-type methods. On this figure three kinds of behavior can be recognized: Many paleointensity determinations display field values in the 35-55 lT range.…”

Section: Sample Sr12-7mentioning

confidence: 99%

“…No systematic intensity drops are related, however, to the pre and post transitional regimes. Although some new Pleistocene and Pliocene absolute paleointensity data from Georgia are already available from previous studies (Camps et al, 1996;Gogichaishvili et al, 2000Gogichaishvili et al, , 2001Gogichaishvili et al, , 2009Calvo-Rathert et al, 2011, 2013, new paleointensity results from this region are still much needed. In 2012 we sampled a radiometrically dated Pleistocene lava flow sequence consisting of 39 consecutive, independent lava flows in the Djavakheti region (Southern Georgia).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Absolute paleointensity determinations by using of conventional double-heating and multispecimen approaches on a Pliocene lava flow sequence from the Lesser Caucasus

Goguitchaichvili

Caccavari

Calvo‐Rathert

et al. 2016

Physics of the Earth and Planetary Interiors

Self Cite

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Section: Sample Sr12-7supporting

confidence: 74%

Section: Sample Sr12-7supporting

confidence: 74%

Section: Sample Sr12-7supporting

confidence: 68%

Section: Sample Sr12-7mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Absolute paleointensity determinations by using of conventional double-heating and multispecimen approaches on a Pliocene lava flow sequence from the Lesser Caucasus

Goguitchaichvili

Caccavari

Calvo‐Rathert

et al. 2016

Physics of the Earth and Planetary Interiors

Self Cite

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On improving the selection of Thellier-type paleointensity data

Paterson

Tauxe

Biggin

et al. 2014

Geochem. Geophys. Geosyst.

180

268

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The selection of paleointensity data is a challenging, but essential step for establishing data reliability. There is, however, no consensus as to how best to quantify paleointensity data and which data selection processes are most effective. To address these issues, we begin to lay the foundations for a more unified and theoretically justified approach to the selection of paleointensity data. We present a new compilation of standard definitions for paleointensity statistics to help remove ambiguities in their calculation. We also compile the largest-to-date data set of raw paleointensity data from historical locations and laboratory control experiments with which to test the effectiveness of commonly used sets of selection criteria. Although most currently used criteria are capable of increasing the proportion of accurate results accepted, criteria that are better at excluding inaccurate results tend to perform poorly at including accurate results and vice versa. In the extreme case, one widely used set of criteria, which is used by default in the ThellierTool software (v4.22), excludes so many accurate results that it is often statistically indistinguishable from randomly selecting data. We demonstrate that, when modified according to recent single domain paleointensity predictions, criteria sets that are no better than a random selector can produce statistically significant increases in the acceptance of accurate results and represent effective selection criteria. The use of such theoretically derived modifications places the selection of paleointensity data on a more justifiable theoretical foundation and we encourage the use of the modified criteria over their original forms.

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PSV10: A Global Data Set for 0–10 Ma Time‐Averaged Field and Paleosecular Variation Studies

Cromwell

Johnson

Tauxe

et al. 2018

Geochem Geophys Geosyst

249

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Globally distributed paleomagnetic data from discrete volcanic sites have previously been used for statistical studies of paleosecular variation and the structure of the time‐averaged field. We present a new data compilation, PSV10, selected from high‐quality paleodirections recorded over the past 10 Ma and comprising 2,401 sites from 81 studies. We require the use of modern laboratory and processing methods, a minimum of four samples per site, and within‐site Fisher precision parameter, kw, ≥50. Studies that identify significant tectonic effects or explicitly target transitional field states are excluded, thereby reducing oversampling of transitional time intervals. Additionally, we apply two approaches using geological evidence to minimize effects of short‐term serial correlation. PSV10 is suitable for use in new global geomagnetic and paleomagnetic studies as it has greatly improved spatial coverage of sites, especially at equatorial and high latitudes. VGP dispersion is latitudinally dependent, with substantially higher values in the Southern Hemisphere than at corresponding northern latitudes when no VGP cutoff is imposed. Average inclination anomalies for 10° latitude bins range from about +3 ± 2° to −7.5 ± 2° for the entire data set, with the largest negative values occurring at equatorial and mid‐northern latitudes. New 0–5 Ma TAF models (LN3 and LN3‐SC) based on selections of normal polarity data from PSV10 indicate a g20 term that is 3.0% of g10. Non‐zonal variations in field structure are observed near the magnetic equator and in regions of increased radial flux at high latitudes over the Americas, the Indian Ocean, and Asia.

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A paleomagnetic and paleointensity study on Pleistocene and Pliocene basaltic flows from the Djavakheti Highland (Southern Georgia, Caucasus)

Cited by 19 publications

References 41 publications

Absolute paleointensity determinations by using of conventional double-heating and multispecimen approaches on a Pliocene lava flow sequence from the Lesser Caucasus

Absolute paleointensity determinations by using of conventional double-heating and multispecimen approaches on a Pliocene lava flow sequence from the Lesser Caucasus

On improving the selection of Thellier-type paleointensity data

PSV10: A Global Data Set for 0–10 Ma Time‐Averaged Field and Paleosecular Variation Studies

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