Articles | Volume 4, issue 1
https://doi.org/10.5194/gi-4-45-2015
https://doi.org/10.5194/gi-4-45-2015
Research article
 | 
27 Feb 2015
Research article |  | 27 Feb 2015

COSIMA data analysis using multivariate techniques

J. Silén, H. Cottin, M. Hilchenbach, J. Kissel, H. Lehto, S. Siljeström, and K. Varmuza

Viewed

Total article views: 2,241 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,116 1,007 118 2,241 154 140
  • HTML: 1,116
  • PDF: 1,007
  • XML: 118
  • Total: 2,241
  • BibTeX: 154
  • EndNote: 140
Views and downloads (calculated since 15 Aug 2014)
Cumulative views and downloads (calculated since 15 Aug 2014)

Cited

Saved (preprint)

Latest update: 13 Dec 2024
Download
Short summary
COSIMA, an advanced TOF-SIMS instrument measuring the mass spectrum of dust grains collected at comet P67 by the ROSETTA spacecraft, is predicted to encounter complex mixtures of minerals and organic compounds. To extract information from this data set, we have developed a multivariate technique tested on laboratory measurements made by an identical instrument under controlled conditions. We have shown that minerals can be identified and separated with high level of confidence.