T82 What’s the Cosmognosis? Recent Advances in Understanding Earth and Planetary Processes with Cosmogenic Nuclides
Monday, 23 September 2024
8:00 AM - 12:00 PM
212B
QUANTIFYING REPLICATION THROUGH REPEATED ANALYSIS OF UVM-A, A LIQUID REFERENCE MATERIAL FOR COSMOGENIC 10Be AND 26Al STUDIES
Paper number: T82-2
Program: Technical Sessions
Time: 8:05 AM – 8:20 AM
Authors
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Paul R. BiermanUniversity of Vermont, Burlington, VT
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Marc W. CaffeePurdue University, West Lafayette, IN
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Alan J. HidyLawrence Livermore National Laboratory, Livermore, CA
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Thomas E. WoodruffPurdue University, West Lafayette, IN
Abstract
Freely available to the community, UVM-A contains ~250 ppm Be and ~1000 ppm Al in 1% nitric acid. Created at University of Vermont in 2018 by dissolving the CRONUS-A reference material, it is spiked with both the rare and the common isotopes such that the 10Be/9Be and 26Al/27Al ratios are set. Cosmogenic nuclide sample preparation laboratories can process UVM-A as a means of quality control. UVM-A is currently being used in 19 sample preparation laboratories in 5 countries; thus far, we have focused on studying the data from the University of Vermont preparation laboratory.
Based on this dataset, we suggest preliminary consensus values of 1.45 ± 0.06 x 10-13 for 10Be/9Be (mean, one standard deviation, n = 96) and 4.47 ± 0.22 x 10-13 for 26Al/27Al (mean, one standard deviation, n = 27). We find that 10Be/9Be ratios measured at the different AMS facilities (n = 26, Lawrence Livermore National Laboratory; and n = 70, Purdue Rare Isotope Measurement Laboratory) have statistically indistinguishable central tendencies, matching to within 0.1%. For both 10Be/9Be and 26Al/27Al, the relative standard deviations of the measured ratios are similar to the reported analytic uncertainties of sample measurement, suggesting that sample preparation introduced little additional scatter beyond the uncertainty of isotopic analysis.
This dataset demonstrates that robust sample preparation and measurement can generate cosmogenic isotope ratio data reproducible at the level of counting statistics. Future work will focus on comparisons between preparation laboratories and between a larger number of AMS facilities.
Geological Society of America Abstracts with Programs. Vol. 56, No. 5
doi: 10.1130/abs/2024AM-404049
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