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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
Affiliation:
GEPI, Paris Observatory Meudon, France, email: rosine.lallement@obspm.fr
H.C Chen
Affiliation:
GEPI, Paris Observatory Meudon, France, email: rosine.lallement@obspm.fr
L. Puspitarini
Affiliation:
GEPI, Paris Observatory Meudon, France, email: rosine.lallement@obspm.fr
P. Bonifacio
Affiliation:
GEPI, Paris Observatory Meudon, France, email: rosine.lallement@obspm.fr
C. Babusiaux
Affiliation:
GEPI, Paris Observatory Meudon, France, email: rosine.lallement@obspm.fr
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.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2014 

References

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