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Exploiting 3D spatial sampling in inverse modeling of thermochronological data

Abstract:

We have given an overview of a modeling strategy aimed at exploiting the spatial geometry of the sample distributions in order to maximize the retrieval of thermal history information from the thermochronological data. Philosophically, we aim to find thermal history solutions that fit the observations well, but do not have unwarranted complexity. These two requirements are quantified through the Bayesian Information Criterion, which combines the data likelihood and the number of model paramet...

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Publication status:
Published

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Publisher copy:
10.2138/rmg.2005.58.14

Authors


Gallagher, K More by this author
Stephenson, J More by this author
Ballester, P More by this author
Journal:
LOW-TEMPERATURE THERMOCHRONOLOGY: TECHNIQUES, INTERPRETATIONS, AND APPLICATIONS
Volume:
58
Issue:
1
Pages:
375-387
Publication date:
2005
DOI:
ISSN:
1529-6466
URN:
uuid:1f0c260d-1892-45da-9d36-ad60cba722f5
Source identifiers:
116005
Local pid:
pubs:116005
Language:
English

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