Analysis of the emission of very small dust particles from Spitzer-IRS observations, using blind signal separation methods

Details Analysis of the emission of very small dust particles from Spitzer-IRS observations, using blind signal separation methods Analysis of the emission of very small dust particles from Spitzer-IRS observations, using blind signal separation methods

Jun 2006

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006sf2a.conf..221b&link_type=abstract

SF2A-2006: Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics Eds.: D. Barret, F. Casoli, G.

Astronomy and Astrophysics

Astrophysics

Scientific paper

The nature of the very small dust particles which carry the mid infrared interstellar emission is still uncertain. The combination of spectral and spatial studies of photodissociation regions (PDRs) is one way to have access to the nature of these particles, by probing their processing under UV radiation. Several PDRs were observed as part of the SPECPDR program, using the Spitzer-IRS spectrograph in the spectral mapping mode. In order to extract as much information as possible from the data, we applied signal processing algorithms known as``Blind Signal Separation" methods to the spectral cubes of four PDRs. For each one of them, we were able to extract two to three spectra with similar properties from a PDR to another. The extracted spectra were attributed to populations of polycyclic aromatic hydrocarbons (PAHs) and a population of very small grains (VSGs). Using the spatial information from the reconstructed distribution maps of these populations, and the spectral information in the extracted spectra, we infer the chemical properties of these particles, and their evolution inside the PDR.

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