Reviews in Mineralogy & Geochemistry Vol. 58, pp. 589-622, 2005 22 Copyright © Mineralogical Society of America Computational Tools for Low-Temperature Thermochronometer Interpretation Todd A. Ehlers, Tehmasp Chaudhri, Santosh Kumar Department of Geological Sciences University of Michigan Ann Arbor, Michigan, 48109-1005, U.S.A.
[email protected] Chris W. Fuller, Sean D. Willett Department of Earth and Space Sciences University of Washington Seattle, Washington, 98195, U.S.A. Richard A. Ketcham Jackson School of Geosciences University of Texas at Austin Austin, Texas, 78712-0254, U.S.A. Mark T. Brandon Department of Geology and Geophysics Yale University New Haven, Connecticut, 06520-8109, U.S.A. David X. Belton, Barry P. Kohn, Andrew J.W. Gleadow School of Earth Sciences The University of Melbourne Victoria 3010, Australia Tibor J. Dunai Faculty of Earth and Life Sciences Vrije Universiteit De Boelelaan 1085, 1081 HV Amsterdam, The Netherlands Frank Q. Fu School of Geosciences University of Sydney, NSW 2006, Australia and CSIRO Exploration and Mining, PO Box 1130, Bentley, WA, Australia INTRODUCTION This volume highlights several applications of thermochronology to different geologic settings, as well as modern techniques for modeling thermochronometer data. Geologic interpretations of thermochronometer data are greatly enhanced by quantitative analysis of the data (e.g., track length distributions, noble gas concentrations, etc.), and/or consideration of the thermal fi eld samples cooled through. Unfortunately, the computational tools required for a rigorous analysis and interpretation of the data are often developed and used by individual labs, but rarely distributed to the general public. One reason for this is the lack of a good 1529-6466/05/0058-0022$05.00 DOI: 10.2138/rmg.2005.58.22 590 Ehlers et al.