Spectroscopically Identified Cataclysmic Variables from LAMOST survey. I. The Sample
arXiv:1911.08338 · doi:10.3847/1538-3881/ab5962
Abstract
A sample of Cataclysmic Variables (CVs) is presented including spectroscopically identified 380 spectra of 245 objects, of which 58 CV candidates are new discoveries. The BaggingTopPush and the Random Forest algorithms are applied to the Fifth Data Release (DR5) of LAMOST to retrieve CVs with strong emission lines and with broad absorption lines respectively. Based on spectroscopic classification, 134 dwarf novae, 41 nova-like variables and 19 magnetic CVs are identified from the sample. In addition, 89 high--inclination systems and 33 CVs showing companion stars are recognized and discussed for their distinct spectral characteristics. Comparisons between CVs from LAMOST and from published catalogs are made in spatial and magnitude distribution, and the difference of their locus in Gaia color--absolute magnitude diagram (CaMD) are also investigated. More interestingly, for two dwarf novae observed through LAMOST and SDSS in different epoch, their spectra both in quiescence phase and during outburst are exhibited.
arXiv commentAccepted by AJ, 21 pages, 17 figures
References in corpus (17)
- The SIMBAD astronomical database
- The First Data Release (DR1) of the LAMOST general survey
- LAMOST Experiment for Galactic Understanding and Exploration (LEGUE) The survey science plan
- A Catalog and Atlas of Cataclysmic Variables - The Living Edition
- SDSS unveils a population of intrinsically faint cataclysmic variables at the minimum orbital period
- Cataclysmic Variables from SDSS II. The Second Year
- Cataclysmic Variables from SDSS I. The First Results
- Cataclysmic Variables from the Catalina Real-time Transient Survey
- Cataclysmic Variables from SDSS. VIII. The Final Year (2007-2008)
- Cataclysmic Variables from SDSS VII. The Seventh Year (2006)
- One thousand cataclysmic variables from the Catalina Real-time Transient Survey
- Carbon stars identified from LAMOST DR4 using Machine Learning
- Statistical properties of dwarf novae-type cataclysmic variables: The Outburst Catalogue
- High speed photometry of faint Cataclysmic Variables - VII. Targets selected from the Sloan Digital Sky Survey and the Catalina Real-time Transient Survey
- Flux rope proxies and fan-spine structures in active region NOAA 11897
- High-speed photometry of faint cataclysmic variables - VIII. Targets from the Catalina Real-time Transient Survey
- An Efficient Method for Rare Spectra Retrieval in Astronomical Databases