CSIDRS – stable isotope data reduction software for the CAMECA LG SIMS

Abstract

Reduction of stable isotope data from the CAMECA LG SIMS is a vital stage in stable isotope analysis. Currently, both visual basic programs and excel spreadsheets, and other in-house programs are used for this data reduction from raw data to final δ values; uncertainty propagations have previously been carried out using the Taylor expansion method. In this paper an open-source program, CSIDRS, which uses Monte Carlo uncertainty propagation, is presented for community use and development. Two example datasets are provided and compared to previous data reduction strategies. Additionally, CSIDRS can be used for quality checking of stable isotope SIMS data.