COSIMA data analysis using multivariate techniques

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

doi:https://doi.org/10.5194/gi-4-45-2015

Articles | Volume 4, issue 1

https://doi.org/10.5194/gi-4-45-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gi-4-45-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 4, issue 1

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

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Final revised paper (published on 27 Feb 2015)
Preprint (discussion started on 15 Aug 2014)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC C155: 'COSIMA', Anonymous Referee #1, 02 Sep 2014
- AC C158: 'Anonymous referee #1', Johan Silen, 15 Sep 2014
RC C191: 'Mathematical evaluation of manuscript gi-2014-10 by J. Silen et al.', Pentti Paatero, 10 Oct 2014
- AC C196: 'Reply to "Interactive comment" by Dr. Paatero', Johan Silen, 15 Oct 2014

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.