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Least-Squares Deconvolution based analysis of stellar spectra

Published online by Cambridge University Press:  25 February 2014

T. Van Reeth
Affiliation:
Instituut voor Sterrenkunde, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium
A. Tkachenko
Affiliation:
Instituut voor Sterrenkunde, KU Leuven, Celestijnenlaan 200D, 3001 Leuven, Belgium
V. Tsymbal
Affiliation:
Tavrian National University, Department of Astronomy, Simferopol, UKraine
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Abstract

In recent years, astronomical photometry has been revolutionised by space missions such as MOST, CoRoT and Kepler. However, despite this progress, high-quality spectroscopy is still required as well. Unfortunately, high-resolution spectra can only be obtained using ground-based telescopes, and since many interesting targets are rather faint, the spectra often have a relatively low S/N. Consequently, we have developed an algorithm based on the least-squares deconvolution profile, which allows to reconstruct an observed spectrum, but with a higher S/N. We have successfully tested the method using both synthetic and observed data, and in combination with several common spectroscopic applications, such as e.g. the determination of atmospheric parameter values, and frequency analysis and mode identification of stellar pulsations.

Type
Research Article
Copyright
© EAS, EDP Sciences, 2014

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References

Debosscher, J., Aerts, C., Tkachenko, A., , 2013, A&A, 556, A56
Donati, J.-F., Semel, M., Carter, B.D., et al, 1997, MNRAS, 291, 658CrossRef
Ilijić, S., Hensberge, H., Pavlovski, K., & Freyhammer, L.M., 2004, ASP Conf. Ser., 318, 111
Kochukhov, O., Makaganiuk, V., & Piskunov, N., 2010, A&A, 524, A5
Kupka, F., Piskunov, N., Ryabchikova, T.A., , 1999, A&AS, 138, 119
Lehmann, H., Tkachenko, A., Semaan, T., et al, 2011, A&A, 526, A124
Piskunov, N., & Kochukhov, O., 2002, A&A, 381, 736
Rodríguez, E., Rolland, A., Garrido, R., et al, 1998, A&A, 331, 171PubMed
Shulyak, D., Tsymbal, V., Ryabchikova, T., , 2004, A&A, 428, 993
Tkachenko, A., Van Reeth, T., Tsymbal, V., et al, 2013, A&A, 560, A37
Tsymbal, V., 1996, ASP Conf. Ser., 108, 198
Zima, W., 2008, Comm. Asteroseismol., 155, 17CrossRef

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