pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities

The Small Circle (SC) methods are founded upon two main starting hypotheses: (i) the analyzed sites were remagnetized contemporarily, acquiring the same paleomagnetic direction. (ii) The deviation of the acquired paleomagnetic signal from its original direction is only due to tilting around the bedd...

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Detalles Bibliográficos
Autores: Calvín Ballester, Pablo, Villalaín Santamaria, Juan José, Casas Sainz, Antonio M., Tauxe, Lisa ., Torres López, Sara
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:España
Institución:Universidad de Burgos (UBU)
Repositorio:Repositorio Institucional de la Universidad de Burgos (RIUBU)
OAI Identifier:oai:riubu.ubu.es:10259/4677
Acceso en línea:http://hdl.handle.net/10259/4677
Access Level:acceso abierto
Palabra clave:Small circle
SCI method
Fold-test
Remagnetization
Synfolding
pySCu
Physics
Paleontology
Física
Paleontología
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spelling pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilitiesCalvín Ballester, PabloVillalaín Santamaria, Juan JoséCasas Sainz, Antonio M.Tauxe, Lisa .Torres López, SaraSmall circleSCI methodFold-testRemagnetizationSynfoldingpySCuPhysicsPaleontologyFísicaPaleontologíaThe Small Circle (SC) methods are founded upon two main starting hypotheses: (i) the analyzed sites were remagnetized contemporarily, acquiring the same paleomagnetic direction. (ii) The deviation of the acquired paleomagnetic signal from its original direction is only due to tilting around the bedding strike and therefore the remagnetization direction must be located on a small circle (SC) whose axis is the strike of bedding and contains the in situ paleomagnetic direction. Therefore, if we analyze several sites (with different bedding strikes) their SCs will intersect in the remagnetization direction. The SC methods have two applications: (1) the Small Circle Intersection (SCI) method is capable of providing adequate approximations to the expected paleomagnetic direction when dealing with synfolding remagnetizations. By comparing the SCI direction with that predicted from an apparent polar wander path, the (re)magnetization can be dated. (2) Once the remagnetization direction is known, the attitude of the beds (at each site) can be restored to the moment of the acquisition of the remagnetization, showing a palinspastic reconstructuion of the structure. Some caveats are necessary under more complex tectonic scenarios, in which SC-based methods can lead to erroneous interpretations. However, the graphical output of the methods tries to avoid ‘black-box’ effects and can minimize misleading interpretations or even help, for example, to identify local or regional vertical axis rotations. In any case, the methods must be used with caution and always considering the knowledge of the tectonic frame. In this paper, some utilities for SCs analysis are automatized by means of a new Python code and a new technique for defining the uncertainty of the solution is proposed. With pySCu the SCs methods can be easily and quickly applied, obtaining firstly a set of text files containing all calculated information and subsequently generating a graphical output on the fly.CGL2012-38481 and CGL2016-77560 of the MINECO (Spanish Ministry of Economy and Competitiveness) with also FEDER founding (European Union). PC acknowledges the MINECO for the F.P.I. research grant BES-2013-062988. LT acknowledges support from National Science Foundation grant # EAR 1345003.Elsevier201720172019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttp://hdl.handle.net/10259/4677reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)instname:Universidad de Burgos (UBU)InglésComputers & Geosciences. 2017, V. 109, p. 32-42https://doi.org/10.1016/j.cageo.2017.07.002info:eu-repo/grantAgreement/MINECO/CGL2012-38481/info:eu-repo/grantAgreement/MINECO/CGL2016-77560/Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riubu.ubu.es:10259/46772026-05-28T07:56:11Z
dc.title.none.fl_str_mv pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
title pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
spellingShingle pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
Calvín Ballester, Pablo
Small circle
SCI method
Fold-test
Remagnetization
Synfolding
pySCu
Physics
Paleontology
Física
Paleontología
title_short pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
title_full pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
title_fullStr pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
title_full_unstemmed pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
title_sort pySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
dc.creator.none.fl_str_mv Calvín Ballester, Pablo
Villalaín Santamaria, Juan José
Casas Sainz, Antonio M.
Tauxe, Lisa .
Torres López, Sara
author Calvín Ballester, Pablo
author_facet Calvín Ballester, Pablo
Villalaín Santamaria, Juan José
Casas Sainz, Antonio M.
Tauxe, Lisa .
Torres López, Sara
author_role author
author2 Villalaín Santamaria, Juan José
Casas Sainz, Antonio M.
Tauxe, Lisa .
Torres López, Sara
author2_role author
author
author
author
dc.subject.none.fl_str_mv Small circle
SCI method
Fold-test
Remagnetization
Synfolding
pySCu
Physics
Paleontology
Física
Paleontología
topic Small circle
SCI method
Fold-test
Remagnetization
Synfolding
pySCu
Physics
Paleontology
Física
Paleontología
description The Small Circle (SC) methods are founded upon two main starting hypotheses: (i) the analyzed sites were remagnetized contemporarily, acquiring the same paleomagnetic direction. (ii) The deviation of the acquired paleomagnetic signal from its original direction is only due to tilting around the bedding strike and therefore the remagnetization direction must be located on a small circle (SC) whose axis is the strike of bedding and contains the in situ paleomagnetic direction. Therefore, if we analyze several sites (with different bedding strikes) their SCs will intersect in the remagnetization direction. The SC methods have two applications: (1) the Small Circle Intersection (SCI) method is capable of providing adequate approximations to the expected paleomagnetic direction when dealing with synfolding remagnetizations. By comparing the SCI direction with that predicted from an apparent polar wander path, the (re)magnetization can be dated. (2) Once the remagnetization direction is known, the attitude of the beds (at each site) can be restored to the moment of the acquisition of the remagnetization, showing a palinspastic reconstructuion of the structure. Some caveats are necessary under more complex tectonic scenarios, in which SC-based methods can lead to erroneous interpretations. However, the graphical output of the methods tries to avoid ‘black-box’ effects and can minimize misleading interpretations or even help, for example, to identify local or regional vertical axis rotations. In any case, the methods must be used with caution and always considering the knowledge of the tectonic frame. In this paper, some utilities for SCs analysis are automatized by means of a new Python code and a new technique for defining the uncertainty of the solution is proposed. With pySCu the SCs methods can be easily and quickly applied, obtaining firstly a set of text files containing all calculated information and subsequently generating a graphical output on the fly.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017
2019
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10259/4677
url http://hdl.handle.net/10259/4677
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Computers & Geosciences. 2017, V. 109, p. 32-42
https://doi.org/10.1016/j.cageo.2017.07.002
info:eu-repo/grantAgreement/MINECO/CGL2012-38481/
info:eu-repo/grantAgreement/MINECO/CGL2016-77560/
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la Universidad de Burgos (RIUBU)
instname:Universidad de Burgos (UBU)
instname_str Universidad de Burgos (UBU)
reponame_str Repositorio Institucional de la Universidad de Burgos (RIUBU)
collection Repositorio Institucional de la Universidad de Burgos (RIUBU)
repository.name.fl_str_mv
repository.mail.fl_str_mv
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