Blind signal separation methods for the identification of interstellar carbonaceous nanoparticles

Authors:
O. Berné;Y. Deville;C. Joblin
Affiliations:
CNRS et Univ. Paul Sabatier Toulouse 3, Observatoire Midi-Pyrénées, France and Lab. d’Astrophysique de Toulouse-Tarbes, CNRS et Univ. Paul Sabatier, Toulouse 3, Observatoire Midi-P ...;Laboratoire d’Astrophysique de Toulouse-Tarbes, CNRS et Universit´e Paul Sabatier, Toulouse 3, Observatoire Midi-Pyrénées, Toulouse, France;Centre d’Etude Spatiale des Rayonnements, CNRS et Université Paul Sabatier Toulouse 3, Observatoire Midi-Pyrénées, Toulouse cedex 04, France
Venue:
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Year:
2007

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Abstract

The use of Blind Signal Separation methods (ICA and other approaches) for the analysis of astrophysical data remains quite unexplored. In this paper, we present a new approach for analyzing the infrared emission spectra of interstellar dust, obtained with NASA's Spitzer Space Telescope, using FastICA and Non-negative Matrix Factorization (NMF). Using these two methods, we were able to unveil the source spectra of three different types of carbonaceous nanoparticles present in interstellar space. These spectra can then constitute a basis for the interpretation of the mid-infrared emission spectra of interstellar dust in the Milky Way and nearby galaxies. We also show how to use these extracted spectra to derive the spatial distribution of these nanoparticles.