VizieR Online Data Catalog: Active deep learning in large spectros. surveys (Skoda+, 2020)
Abstract
Tables containing spectra of emission stars identified by active deep learning (ADL) of the paper.
The table "cans-bad.dat" contains spectra identified as bad, either due to reduction artifacts, extreme noise or due to their wrong class (e.g. pure absorption), despite the prediction of a spectrum as an emission-line object. However, there are some interesting objects as well. The table "cans-hou.dat" contains spectra identified by our ADL method and also by Hou et al. (2016RAA....16..138H). If we were able to cross-match them with SIMBAD the relevant data from SIMBAD are given as well. The table "cans-new.dat" contains spectra of yet unknown emission stars (neither cross-matched with SIMBAD, nor discovered by Hou et al., 2016RAA....16..138H). They deserve further examination. The table "cans-sim.dat" contains spectra of emission stars discovered by ADL which were sucessfully cross-matched with SIMBAD within 20 arcsec radius. They were not found by Hou et al. (2016RAA....16..138H). In fact they may serve, together with the "cans-hou.dat", as a resource of relatively recent spectra of known emission line objects. (4 data files).- Publication:
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VizieR Online Data Catalog
- Pub Date:
- August 2020
- DOI:
- 10.26093/cds/vizier.36430122
- Bibcode:
- 2020yCat..36430122S
- Keywords:
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- Surveys;
- Stars: emission;
- Line Profiles