Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone

Anisotropy of magnetic susceptibility (AMS) is a straightforward geophysical tool that can detect unobservable rock fabrics. Many previous studies use AMS results for examining fabric and deformation at the outcrop scale or in combination with other geological tools, commonly breaking the AMS ellips...

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Main Author: Baumgarte, Julia
Format: Text
Language:unknown
Published: Carleton Digital Commons 2021
Subjects:
AMS
Online Access:https://digitalcommons.carleton.edu/comps/2892
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spelling ftcarletoncoll:oai:digitalcommons.carleton.edu:comps-3929 2024-02-11T10:05:07+01:00 Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone Baumgarte, Julia 2021-01-01T08:00:00Z application/pdf https://digitalcommons.carleton.edu/comps/2892 unknown Carleton Digital Commons https://digitalcommons.carleton.edu/comps/2892 Integrated Comprehensive Exercises (Comps) AMS block rotation Tjörnes Fracture Zone text 2021 ftcarletoncoll 2024-01-22T19:17:38Z Anisotropy of magnetic susceptibility (AMS) is a straightforward geophysical tool that can detect unobservable rock fabrics. Many previous studies use AMS results for examining fabric and deformation at the outcrop scale or in combination with other geological tools, commonly breaking the AMS ellipsoid into its axes to analyze separately. Because AMS data are ellipsoidal and therefore complex packages of data, it is important that they be treated with rigorous statistical methods. I use AMS data from the Tjörnes Fracture Zone in northern Iceland to test the utility of AMS as a geological tool in rocks that are regionally extensive and largely homogenous. I show that applying orientation statistics to these complex data can reveal flow direction in lavas at a regional scale and detect other spatial trends that are statistically robust. Text Iceland Carleton College: Digital Commons
institution Open Polar
collection Carleton College: Digital Commons
op_collection_id ftcarletoncoll
language unknown
topic AMS
block rotation
Tjörnes Fracture Zone
spellingShingle AMS
block rotation
Tjörnes Fracture Zone
Baumgarte, Julia
Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone
topic_facet AMS
block rotation
Tjörnes Fracture Zone
description Anisotropy of magnetic susceptibility (AMS) is a straightforward geophysical tool that can detect unobservable rock fabrics. Many previous studies use AMS results for examining fabric and deformation at the outcrop scale or in combination with other geological tools, commonly breaking the AMS ellipsoid into its axes to analyze separately. Because AMS data are ellipsoidal and therefore complex packages of data, it is important that they be treated with rigorous statistical methods. I use AMS data from the Tjörnes Fracture Zone in northern Iceland to test the utility of AMS as a geological tool in rocks that are regionally extensive and largely homogenous. I show that applying orientation statistics to these complex data can reveal flow direction in lavas at a regional scale and detect other spatial trends that are statistically robust.
format Text
author Baumgarte, Julia
author_facet Baumgarte, Julia
author_sort Baumgarte, Julia
title Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone
title_short Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone
title_full Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone
title_fullStr Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone
title_full_unstemmed Statistics on Anisotropy of Magnetic Susceptibility Ellipsoids: a Case Study from the Tjörnes Fracture Zone
title_sort statistics on anisotropy of magnetic susceptibility ellipsoids: a case study from the tjörnes fracture zone
publisher Carleton Digital Commons
publishDate 2021
url https://digitalcommons.carleton.edu/comps/2892
genre Iceland
genre_facet Iceland
op_source Integrated Comprehensive Exercises (Comps)
op_relation https://digitalcommons.carleton.edu/comps/2892
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