Searching of new Emission-line Stars using the Astroinformatics Approach
Petr Skoda (Astronomical Institute of the Academy of Sciences), Jaroslav Vazny (Masaryk University)
Using data mining techniques applied on emission line characteristics of Be
stars spectra we attempted to find new Be stars candidates in SDSS survey.
The mid-resolution spectra of confirmed Be stars obtained from VO-compatible
archive of Ondrejov observatory 2m telescope were transformed to the
spectral resolution of SDSS and important characteristics of emission
line profiles were estimated, to be used as a training base of supervised
learning methods. The obtained knowledge base of the characteristic shapes and sizes of Be emission lines was finally used to identify new potential
candidates in SDSS spectral survey. The several newly found Be stars candidates justify our approach and approve Astroinformatics as a viable research methodology.
Poster in PDF format
Paper ID: P141