Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Fundamentals of Fission-Track Thermochronology

Authors: T. Tagami;

Fundamentals of Fission-Track Thermochronology

Abstract

Fission-track (FT) analysis has developed into one of the most useful techniques used throughout the geologic community to reconstruct the low-temperature thermal history of rocks over geological time. The FT method is based on the accumulation of narrow damage trails (i.e., fission tracks) in uranium-rich mineral grains (e.g., apatite, zircon, titanite) and natural glasses, which form as a result of spontaneous nuclear fission decay of 238U in nature (Price and Walker 1963; Fleischer et al. 1975). The time elapsed since fission tracks began to accumulate is estimated by determining the density of accumulated tracks in a particular material in relation to the uranium content of that material. Chemical etching can be used to enlarge fission tracks that have formed within a mineral in order to make them readily observable under an ordinary optical microscope (Price and Walker 1962). If a host rock is subjected to elevated temperatures, fission tracks that have formed up to that point in time are shortened progressively and eventually erased by the thermal recovery (i.e., annealing) of the damage (Fleischer et al. 1975). Because thermal diffusion basically governs the annealing process, the reduction in FT length is a function of heating time and temperature. Importantly, fission tracks are partially annealed over different temperature intervals within different minerals. This characteristic allows for the construction of time-temperature paths of many different rock types by (a) plotting FT (and other isotopic) ages from different minerals versus their closure temperatures, which is applicable in the case of a monotonous cooling history (e.g., Wagner et al. 1977; Zeilter et al. 1982), and/or by (b) the inverse modeling of observed FT age and confined track length data (e.g., Corrigan 1991; Lutz and Omar 1991; Gallagher 1995; Ketcham et al. 2000; see also Ketcham 2005 …

Related Organizations
  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    106
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
106
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!