Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-12-04T19:48:19.339Z Has data issue: false hasContentIssue false

Learning mid-IR emission spectra of PAH populations from observations

Published online by Cambridge University Press:  12 October 2020

Sacha Foschino
Affiliation:
IRAP, université de Toulouse, CNRS, CNES, UPS mail: [email protected]
Olivier Berné
Affiliation:
IRAP, université de Toulouse, CNRS, CNES, UPS mail: [email protected]
Christine Joblin
Affiliation:
IRAP, université de Toulouse, CNRS, CNES, UPS mail: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Observations of the mid-infrared (mid-IR, 3-15 μm) spectra of photo-dissociation regions reveal ubiquitous, broad and intense emission bands, the aromatic infrared bands (AIBs), attributed to polycyclic aromatic hydrocarbons (PAHs). Studies of the AIBs showed spectral variations (e.g. in the band positions) between different astrophysical objects, or even within single object, thanks to hyperspectral images. The James Webb Space Telescope (JWST) will allow to get further spectral and spatial details compared to former space observatories. This will come with large data sets, which will require specific tools in order to perform efficient scientific analysis.

We propose in this study a method based on blind signal separation to reduce the analysis of such large data set to that of a small number of elementary spectra, spectrally representative of the data set and physically interpretable as the spectra of populations of mid-IR emitters. The robustness and fastness of the method are improved compared to former algorithms. It is tested on a ISO-SWS data set, which approaches the best the characteristics of JWST data, from which four elementary spectra are extracted, attributed to cationic, neutral PAHs, evaporating very small grains and large and ionized PAHs.

Type
Contributed Papers
Copyright
© International Astronomical Union 2020

References

Allamandola, L. J., Tielens, A. G. G. M., & Barker, J. R. 1985, A&A, 290, L25 Google Scholar
Berné, O., Joblin, C., Deville, Y., Smith, J. D., Rapacioli, M., Bernard, J. P., Thomas, J., Reach, W., & Abergel, A. 2007, A&A, 469, 575 Google Scholar
Boulais, A., Deville, Y., & Berné, O. 2015, 2015 IEEE International Workshop of ECMSM, 1Google Scholar
Joblin, C., Szczerba, R.,Berné, O., & Szyszka, C. 2008, A&A, 490, 189 Google Scholar
Leger, A. & Puget, J. L. 1984, A&A, 137, L5 Google Scholar
Pilleri, P., Montillaud, J., Berné, O., & Joblin, C. 2012, A&A, 542, A69 Google Scholar
Rapacioli, M., Joblin, C., & Boissel, P. 2005, A&A, 429, 193 Google Scholar