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

By N. McLean, James Frederick Bowring, S. Bowring. 2011

350 citations recorded by the source corpus.

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are increasingly important, and thus previous simplifications for data reduction and uncertainty propagation are no longer valid.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.

Subfields: Astronomy and Astrophysics, Global and Planetary Change, Inorganic Chemistry

View Paper: https://www.semanticscholar.org/paper/c0631bf1c552166a03340273a56cb559abaf9fc6

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In Astronomy and Astrophysics

  1. Pieter Vermeesch
  2. S. Bowring
  3. N. McLean
  4. A. Schmitt
  5. M. Horstwood
  6. S. Burgess
  7. S. Shen
  8. U. Schaltegger

In Global and Planetary Change

  1. Pieter Vermeesch
  2. S. Bowring
  3. N. McLean
  4. A. Schmitt
  5. M. Horstwood
  6. S. Burgess
  7. S. Shen
  8. U. Schaltegger

In Inorganic Chemistry

  1. Pieter Vermeesch
  2. S. Bowring
  3. M. Horstwood
  4. A. Schmitt
  5. U. Schaltegger
  6. S. Burgess
  7. S. Shen
  8. N. McLean

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