GSA 2020 Connects Online

Paper No. 141-14
Presentation Time: 4:40 PM

RECONSTRUCTING LUNAR METEORITE THERMAL HISTORIES WITH 40AR/39AR THERMOCHRONOLOGY


TREMBLAY, Marissa M.1, MARK, Darren F.2, CARTER, John N.3, MASON, Simon1, ROBINSON, Abigail4 and CHUNG, Peter5, (1)Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907, (2)Scottish Universities Environmental Research Centre, Rankin Avenue, East Kilbride, Scotland, G75 0QF, United Kingdom; Department of Earth and Environmental Sciences, University of St Andrews, Irvine Building, St Andrews, KY16 9AL, United Kingdom, (3)Scottish Universities Environmental Research Centre, Rankin Avenue, East Kilbride, Scotland, G75 0QF, United Kingdom, (4)Institut de Physique du Globe de Paris, Paris, 75005, France, (5)School of Geographical and Earth Sciences, University of Glasgow, Glasgow, G12 8QQ, United Kingdom

Much of our knowledge about the evolution of the Moon’s surface comes from geochemical studies of Apollo samples. In particular, the application of the 40Ar/39Ar system to Apollo samples has formed the backbone of our understanding of the Moon’s bombardment through time. However, the existing body of lunar 40Ar/39Ar datasets are biased, in that the Apollo missions sampled a small fraction of the lunar surface. Moreover, the framework in which many existing lunar 40Ar/39Ar datasets have been interpreted is overly simplistic and does not account for the complex thermal histories that many lunar samples demonstrably experienced. To address these issues, we conducted detailed, temperature-controlled 40Ar/39Ar measurements on more than a dozen lunar meteorites that, based on a comparison of their bulk elemental composition to remote sensing data, likely sample regions of the Moon’s surface outside of the Apollo mission landing sites. The 40Ar/39Ar analyses were conducted on individual lithic or impact melt clasts or impact melt regions identified in each sample from initial characterization using scanning electron microscopy. We will present 40Ar/39Ar step-heating datasets from a subset of the meteorites studied, and interpret these datasets using (1) Bayesian, nonparametric multiple diffusion domain models that account for Ar diffusion from multiple K-bearing phases, and (2) forward models that predict the entire 40Ar/39Ar age spectrum as a function of a sample’s geologic and subsequent laboratory thermal histories. These new 40Ar/39Ar datasets and interpretations will contribute to a more complete representation of the lunar crust’s thermal evolution and therefore inform outstanding debates about the Moon’s early impact history that rely heavily on existing 40Ar/39Ar datasets from Apollo samples.