Limits and biases on the three-dimensional vorticity analysis using porphyroblast system

a discussion and application to natural example

D Iacopini, C Frassi , R Carosi , C Montomoli

Research output: Contribution to journalArticle

Abstract

A description on the systematic errors associated with the measurement of the vorticity numbers is presented and an application to a real example is discussed. We show that strong biases and systematic errors derive both from some physical assumptions (Jeffery or Mulchrone model) rarely encountered by natural systems as well as by the fact that these vorticity techniques require measurements of the geometrical parameters of porphyroblasts-matrix system by using outcrop surfaces or thin section methods that are inherently biased. Applying different vorticity plots we analyse an example and discuss in detail the effective systematic errors distribution and the ambiguity in measuring the mean vorticity numbers Wn.
Original languageEnglish
Pages (from-to)368-371
Number of pages4
JournalTrabajos de Geología
Volume29
Publication statusPublished - Dec 2009

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Limits and biases on the three-dimensional vorticity analysis using porphyroblast system : a discussion and application to natural example . / Iacopini, D; Frassi , C; Carosi , R; Montomoli, C.

In: Trabajos de Geología, Vol. 29, 12.2009, p. 368-371.

Research output: Contribution to journalArticle

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AB - A description on the systematic errors associated with the measurement of the vorticity numbers is presented and an application to a real example is discussed. We show that strong biases and systematic errors derive both from some physical assumptions (Jeffery or Mulchrone model) rarely encountered by natural systems as well as by the fact that these vorticity techniques require measurements of the geometrical parameters of porphyroblasts-matrix system by using outcrop surfaces or thin section methods that are inherently biased. Applying different vorticity plots we analyse an example and discuss in detail the effective systematic errors distribution and the ambiguity in measuring the mean vorticity numbers Wn.

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