0 Technical note: Benchmark time-temperature paths provide a shared framework for evaluating and communicating thermochronologic data interpretation Andrea L. Stevens Goddard1, Kendra E. Murray2, Alyssa A. Abbey3, and Mark Wildman

We present a set of six time-temperature (tT) histories, which we refer to as benchmark paths, that can be used as a shared framework for evaluating the sensitivity of a thermochronologic system to the variables inherent in the interpretation of thermochronologic data (e.g., kinetics models, mineral compositions or geometries, etc.). These benchmark paths span 100 Myr, include monotonic and nonmonotonic histories that represent plausible geologic scenarios, and have a range of cooling rates through different chronometer partial retention/annealing temperatures. Here, we demonstrate their utility by presenting a method for “tuning” these paths to 11 different kinetics models for the apatite (U-Th-Sm)/He (n=5), apatite fission-track (n=2), and zircon (U-Th)/He (n=4) systems. These tuned tT paths provide a practical comparison of the kinetics models for each system and the data patterns they predict, thereby offering anyone performing thermal history analysis the ability to consider how their choice of kinetics model may impact their data interpretation. The adoption of benchmark paths for evaluating kinetics models and other variables provides a practical way to evaluate and communicate the decisionmaking processes that are inherent in thermochronologic modeling and data interpretation.

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Published
2026-11-01
DOI
https://doi.org/10.22541/essoar.15011396/v1
Primary Topic
Geological and Geochemical Analysis
Type
preprint
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0 Technical note: Benchmark time-temperature paths provide a shared framework for evaluating and communicating thermochronologic data interpretation Andrea L. Stevens Goddard1, Kendra E. Murray2, Alyssa A. Abbey3, and Mark Wildman

Mark Wildman, Alyssa Abbey, Kendra E. Murray, Andrea L. Stevens Goddard
1 links
Geological and Geochemical Analysis
preprint

0 Technical note: Benchmark time-temperature paths provide a shared framework for evaluating and communicating thermochronologic data interpretation Andrea L. Stevens Goddard1, Kendra E. Murray2, Alyssa A. Abbey3, and Mark Wildman

Mark Wildman, Alyssa Abbey, Kendra E. Murray, Andrea L. Stevens Goddard
preprint en

Abstract

We present a set of six time-temperature (tT) histories, which we refer to as benchmark paths, that can be used as a shared framework for evaluating the sensitivity of a thermochronologic system to the variables inherent in the interpretation of thermochronologic data (e.g., kinetics models, mineral compositions or geometries, etc.). These benchmark paths span 100 Myr, include monotonic and nonmonotonic histories that represent plausible geologic scenarios, and have a range of cooling rates through different chronometer partial retention/annealing temperatures. Here, we demonstrate their utility by presenting a method for “tuning” these paths to 11 different kinetics models for the apatite (U-Th-Sm)/He (n=5), apatite fission-track (n=2), and zircon (U-Th)/He (n=4) systems. These tuned tT paths provide a practical comparison of the kinetics models for each system and the data patterns they predict, thereby offering anyone performing thermal history analysis the ability to consider how their choice of kinetics model may impact their data interpretation. The adoption of benchmark paths for evaluating kinetics models and other variables provides a practical way to evaluate and communicate the decisionmaking processes that are inherent in thermochronologic modeling and data interpretation.

Idaho State University (US), California State University System (US), Indiana University Bloomington (US), Indiana University (US), California State University, Long Beach (US), University of Glasgow (GB)
Geological and Geochemical Analysis
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0 Technical note: Benchmark time-temperature paths provide a shared framework for evaluating and communicating thermochronologic data interpretation Andrea L. Stevens Goddard1, Kendra E. Murray2, Alyssa A. Abbey3, and Mark Wildman — Mark Wildman, Alyssa Abbey, et al. · (2026) | TGRS Research Map | TGRS