Detection and Characterisation of H-{alpha} Emission Lines from Gaia BP/RP Spectra
- University of Tartu, Institute of Computer Science, Tartu Observatory (Estonia)
- University of Tartu, Institute of Computer Science (Estonia)
- Tartu Observatory (Estonia)
The Gaia probe, set to launch in 2011, will measure an estimated billion astronomical objects, producing an enormous amount of data. One of the data analysis tasks will be the identification and classification of measured objects. A vast majority of them will be 'ordinary' stars from our Galaxy but a certain percentage will belong to 'peculiar' objects. We are interested in detecting emission line stars (ELS). The characteristic feature of most ELS is the presence of a H-{alpha} emission line in their spectra. In the case of Gaia measurements, the influence of this line could be detected in low resolution prismatic spectra which will be recorded both in blue (BP) and red (RP) spectral region. In this work, we compare different algorithms for detecting and characterising H-{alpha} lines in Gaia spectra. These include a simple, integrated flux ratio-based algorithm and several machine learning algorithms, such as neural networks, support vector machines and support vector regression. We study line detection both from single-transit and over-sampled end-of-mission data.
- OSTI ID:
- 21254928
- Journal Information:
- AIP Conference Proceedings, Vol. 1082, Issue 1; Conference: International conference on classification and discovery in large astronomical surveys, Ringberg Castle (Germany), 14-17 Oct 2008; Other Information: DOI: 10.1063/1.3059087; (c) 2008 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
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