TY - JOUR
T1 - Algorithms and software for U-Pb geochronology by LA-ICPMS
AU - McLean, Noah M.
AU - Bowring, James F.
AU - Gehrels, George
N1 - Funding Information:
Funding for this work was provided through NSF awards #0930223 and #0929746 and NERC grant NE/I013814/1. The authors offer special thanks to Doug Walker, Sam Bowring, Jeff Vervoort, and Dan Condon for their support and encouragement. We acknowledge the support of the College of Charleston, MIT, the British Geological Survey, the University of Kansas, and the University of Arizona in making this work possible. This paper is theoretical in nature and all the numerical information provided in the figures is for illustration only. No new data are presented here.
Publisher Copyright:
© 2016. American Geophysical Union. All Rights Reserved.
PY - 2016/7/1
Y1 - 2016/7/1
N2 - The past 15 years have produced numerous innovations in geochronology, including experimental methods, instrumentation, and software that are revolutionizing the acquisition and application of geochronological data. For example, exciting advances are being driven by Laser-Ablation ICP Mass Spectrometry (LA-ICPMS), which allows for rapid determination of U-Th-Pb ages with 10s of micrometer-scale spatial resolution. This method has become the most commonly applied tool for dating zircons, constraining a host of geological problems. The LA-ICPMS community is now faced with archiving these data with associated analytical results and, more importantly, ensuring that data meet the highest standards for precision and accuracy and that interlaboratory biases are minimized. However, there is little consensus with regard to analytical strategies and data reduction protocols for LA-ICPMS geochronology. The result is systematic interlaboratory bias and both underestimation and overestimation of uncertainties on calculated dates that, in turn, decrease the value of data in repositories such as EarthChem, which archives data and analytical results from participating laboratories. We present free open-source software that implements new algorithms for evaluating and resolving many of these discrepancies. This solution is the result of a collaborative effort to extend the U-Pb_Redux software for the ID-TIMS community to the LA-ICPMS community. Now named ET_Redux, our new software automates the analytical and scientific workflows of data acquisition, statistical filtering, data analysis and interpretation, publication, community-based archiving, and the compilation and comparison of data from different laboratories to support collaborative science.
AB - The past 15 years have produced numerous innovations in geochronology, including experimental methods, instrumentation, and software that are revolutionizing the acquisition and application of geochronological data. For example, exciting advances are being driven by Laser-Ablation ICP Mass Spectrometry (LA-ICPMS), which allows for rapid determination of U-Th-Pb ages with 10s of micrometer-scale spatial resolution. This method has become the most commonly applied tool for dating zircons, constraining a host of geological problems. The LA-ICPMS community is now faced with archiving these data with associated analytical results and, more importantly, ensuring that data meet the highest standards for precision and accuracy and that interlaboratory biases are minimized. However, there is little consensus with regard to analytical strategies and data reduction protocols for LA-ICPMS geochronology. The result is systematic interlaboratory bias and both underestimation and overestimation of uncertainties on calculated dates that, in turn, decrease the value of data in repositories such as EarthChem, which archives data and analytical results from participating laboratories. We present free open-source software that implements new algorithms for evaluating and resolving many of these discrepancies. This solution is the result of a collaborative effort to extend the U-Pb_Redux software for the ID-TIMS community to the LA-ICPMS community. Now named ET_Redux, our new software automates the analytical and scientific workflows of data acquisition, statistical filtering, data analysis and interpretation, publication, community-based archiving, and the compilation and comparison of data from different laboratories to support collaborative science.
KW - U-Pb
KW - cyberinfrastructure
KW - geochronology
KW - metrology
KW - statistics
KW - uncertainty
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U2 - 10.1002/2015GC006097
DO - 10.1002/2015GC006097
M3 - Article
AN - SCOPUS:84978062313
SN - 1525-2027
VL - 17
SP - 2480
EP - 2496
JO - Geochemistry, Geophysics, Geosystems
JF - Geochemistry, Geophysics, Geosystems
IS - 7
ER -