000071104 001__ 71104
000071104 005__ 20190709135515.0
000071104 0247_ $$2doi$$a10.1016/j.cageo.2017.07.002
000071104 0248_ $$2sideral$$a100723
000071104 037__ $$aART-2017-100723
000071104 041__ $$aeng
000071104 100__ $$aCalvín, Pablo
000071104 245__ $$apySCu: A new python code for analyzing remagnetizations directions by means of small circle utilities
000071104 260__ $$c2017
000071104 5060_ $$aAccess copy available to the general public$$fUnrestricted
000071104 5203_ $$aThe 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.
000071104 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/BES-2013-062988$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2012-38481$$9info:eu-repo/grantAgreement/ES/MINECO/CGL2016-77560
000071104 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
000071104 590__ $$a2.567$$b2017
000071104 591__ $$aGEOSCIENCES, MULTIDISCIPLINARY$$b62 / 189 = 0.328$$c2017$$dQ2$$eT1
000071104 591__ $$aCOMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS$$b37 / 105 = 0.352$$c2017$$dQ2$$eT2
000071104 592__ $$a1.35$$b2017
000071104 593__ $$aInformation Systems$$c2017$$dQ1
000071104 593__ $$aComputers in Earth Sciences$$c2017$$dQ1
000071104 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/acceptedVersion
000071104 700__ $$aVillalaín, Juan J.
000071104 700__ $$0(orcid)0000-0003-3652-3527$$aCasas-Sainz, Antonio M.$$uUniversidad de Zaragoza
000071104 700__ $$aTauxe, Lisa
000071104 700__ $$aTorres-López, Sara
000071104 7102_ $$12000$$2428$$aUniversidad de Zaragoza$$bDpto. Ciencias de la Tierra$$cÁrea Geodinámica Interna
000071104 773__ $$g109 (2017), 32-42 [45 pp.]$$pComput. geosci.$$tCOMPUTERS & GEOSCIENCES$$x0098-3004
000071104 8564_ $$s1074018$$uhttps://zaguan.unizar.es/record/71104/files/texto_completo.pdf$$yPostprint
000071104 8564_ $$s52378$$uhttps://zaguan.unizar.es/record/71104/files/texto_completo.jpg?subformat=icon$$xicon$$yPostprint
000071104 909CO $$ooai:zaguan.unizar.es:71104$$particulos$$pdriver
000071104 951__ $$a2019-07-09-11:54:46
000071104 980__ $$aARTICLE