An algorithm for U-Pb isotope dilution data reduction and uncertainty propagation

• Published in: Geochemistry, geophysics, geosystems : G3 Vol. 12; no. 6; pp. np - n/a
• Main Authors: McLean, N. M., Bowring, J. F., Bowring, S. A.
• Format: Journal Article
• Language: English
• Published: Washington Blackwell Publishing Ltd 01.06.2011; John Wiley & Sons, Inc
• Subjects: Algorithms; Computer science; Computer simulation; Correlation; Data reduction; geochronology; Geological time; Ionization; Mass spectrometry; Mathematical analysis; Monte Carlo methods; Monte Carlo simulation; Scientific apparatus & instruments; Simplification; U-Pb; Uncertainty; uncertainty propagation
• ISSN: 1525-2027; 1525-2027
• DOI: 10.1029/2010GC003478

High‐precision U‐Pb geochronology by isotope dilution‐thermal ionization mass spectrometry is integral to a variety of Earth science disciplines, but its ultimate resolving power is quantified by the uncertainties of calculated U‐Pb dates. As analytical techniques have advanced, formerly small sources of uncertainty are increasingly important, and thus previous simplifications for data reduction and uncertainty propagation are no longer valid. Although notable previous efforts have treated propagation of correlated uncertainties for the U‐Pb system, the equations, uncertainties, and correlations have been limited in number and subject to simplification during propagation through intermediary calculations. We derive and present a transparent U‐Pb data reduction algorithm that transforms raw isotopic data and measured or assumed laboratory parameters into the isotopic ratios and dates geochronologists interpret without making assumptions about the relative size of sample components. To propagate uncertainties and their correlations, we describe, in detail, a linear algebraic algorithm that incorporates all input uncertainties and correlations without limiting or simplifying covariance terms to propagate them though intermediate calculations. Finally, a weighted mean algorithm is presented that utilizes matrix elements from the uncertainty propagation algorithm to propagate random and systematic uncertainties for data comparison between other U‐Pb labs and other geochronometers. The linear uncertainty propagation algorithms are verified with Monte Carlo simulations of several typical analyses. We propose that our algorithms be considered by the community for implementation to improve the collaborative science envisioned by the EARTHTIME initiative. Key Points We present a complete and transparent U‐Pb data reduction algorithm We derive and present a new and improved uncertainty propagation algorithm Accuracy of the uncertainty propagation is verified by the Monte Carlo method