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Towards Extraction of Massive DIB Datasets from Stellar Spectroscopic Surveys

Published online by Cambridge University Press:  21 February 2014

R. Lallement ,
H.C Chen ,
L. Puspitarini ,
P. Bonifacio ,
C. Babusiaux  and
V. Hill
R. Lallement
Affiliation:
GEPI, Paris Observatory Meudon, France, email: [email protected]
H.C Chen
Affiliation:
GEPI, Paris Observatory Meudon, France, email: [email protected]
L. Puspitarini
Affiliation:
GEPI, Paris Observatory Meudon, France, email: [email protected]
P. Bonifacio
Affiliation:
GEPI, Paris Observatory Meudon, France, email: [email protected]
C. Babusiaux
Affiliation:
GEPI, Paris Observatory Meudon, France, email: [email protected]
V. Hill
Affiliation:
CASSIOPEE/Cote d'Azur Observatory, Nice, FRANCE
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Abstract

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Medium to high-resolution stellar spectroscopic surveys can potentially be used to build DIB databases by means of automated methods of analysis. Multiplex spectrographs increase strongly those potentialities and allow small-scale variability studies. Because measurements of the stellar parameters are generally the primary goal of the surveys, synthetic spectra can be computed and used to extract DIBs from late-type star data. Large datasets should allow deeper investigations on the DIB variability in response to stellar radiation fields, DIB reddening relationships, and help localizing interstellar clouds. Here we describe our attempts to build and test automated methods adapted to both early and late type stars.

Keywords

ISMDiffuse Interstellar BandsExtinction
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 9 , Symposium S297: The Diffuse Interstellar Bands , May 2013 , pp. 113 - 116
Copyright
Copyright © International Astronomical Union 2014 

References

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