Statistical Society of Australia (SSA) Canberra Meetings 2019
Matt Moores will be presenting at the Statistical Society of Australia (SSA) Canberra Meeting on 25 June 2019. The title of his presentation is “Statistics from Mars: Bayesian signal processing for Raman spectroscopy”.
The planned Mars 2020 mission to Jezero crater will include a rover equipped with 2 Raman spectrometers: SuperCam and SHERLOC. This would be the first time that this type of spectroscopy has been performed on the Martian surface, which will enable new kinds of analysis of minerals and organic molecules. In the meantime, the Mars Science Laboratory Curiosity rover continues to build on the massive dataset of laser-induced breakdown spectroscopy (LIBS) that it has been accumulating since 2012. These data pose particular challenges for statistical signal processing, since pre-flight calibration on Earth can only approximate Martian environmental conditions. Analytical methods must be robust to artefacts and other changes in the spectral profile, such as nonlinear interactions between signals. This talk will introduce a Bayesian method for source separation of spectroscopy. We derive informative priors from online databases of known reference spectra, as well as quantum-mechanical computer models. The components of the combined spectrum are identified and quantified using a sequential Monte Carlo algorithm. An open-source implementation of our method is available in the R package ‘serrsBayes.’
This is joint work with Kary Myers, Earl Lawrence & Sham Bhat (Los Alamos National Laboratory, USA), Jake Carson (University of Warwick, UK) and Mark Girolami (Alan Turing Institute for Data Science, UK).