2015
DOI: 10.1088/0067-0049/217/2/28
|View full text |Cite
|
Sign up to set email alerts
|

Eclipsing Binaries From the Cstar Project at Dome A, Antarctica

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
10
2

Year Published

2017
2017
2023
2023

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 16 publications
(13 citation statements)
references
References 51 publications
1
10
2
Order By: Relevance
“…Various efforts have been made to reduce the systematic errors and to push the photometric precision below a few mmag, including the modeling of the inhomogeneous effects of clouds (Wang et al 2012), the ghost images (Meng et al 2013), and the systematic diurnal residuals (Wang et al 2014b). Based on the detrended light curves obtained during the 2008 winter season, comprehensive studies on exoplanet candidates (Wang et al 2014a), stellar variability , eclipsing binaries (Yang et al 2015), and stellar flares (Liang et al 2016) were carried out. Other independent studies include those on variable sources (Wang et al 2011(Wang et al , 2013Oelkers et al 2015), and specific studies on the pulsation modes of RR Lyrae stars (Huang et al 2015) and δ Scuti variables based on the CSTAR observations in single or multiple years from 2008 through 2010.…”
Section: Introductionmentioning
confidence: 99%
“…Various efforts have been made to reduce the systematic errors and to push the photometric precision below a few mmag, including the modeling of the inhomogeneous effects of clouds (Wang et al 2012), the ghost images (Meng et al 2013), and the systematic diurnal residuals (Wang et al 2014b). Based on the detrended light curves obtained during the 2008 winter season, comprehensive studies on exoplanet candidates (Wang et al 2014a), stellar variability , eclipsing binaries (Yang et al 2015), and stellar flares (Liang et al 2016) were carried out. Other independent studies include those on variable sources (Wang et al 2011(Wang et al , 2013Oelkers et al 2015), and specific studies on the pulsation modes of RR Lyrae stars (Huang et al 2015) and δ Scuti variables based on the CSTAR observations in single or multiple years from 2008 through 2010.…”
Section: Introductionmentioning
confidence: 99%
“…The luminosities of the components are computed with L=4πσR 2 T 4 as L 1 =2.62L e and L 2 =0.064L e , respectively, and the spectral type of the secondary star is estimated as K4 according to its temperature. The parameters obtained from this work and those from Yang et al (2015) are listed in Table 4. According to the morphologies of automated classifier, CSTAR036162 was classified as a semi-detached binary system by Yang et al (2015).…”
Section: Cstar036162mentioning
confidence: 99%
“…CSTAR consists of four 14.5 cm optical Schmidt-Cassegrain telescopes, each of which has a field of view of 4°.5×4°.5 with different (g, r, i and open) Sloan filters (Frei et al 1996;. Fifty-three eclipsing binaries among more than 260 variable stars have been detected from the three-year observations (Yang et al 2015). Three stars, CSTAR036162, CSTAR055495, and CSTAR057775, are found to have relatively high precision and long duration coverage data in three filters, and they receive top priority to be analyzed among these eclipsing binary stars.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…A total of 1879 EBs from the Kepler mission (Prša et al 2011a) were also analyzed using the EBAI ANN, and their physical parameters were extracted from their LCs. More recently, Yang et al (2015) employed the EBAI pipeline to calculate the physical parameters of 50 EBs observed with the Chinese Small Telescope ARray (CSTAR). In spite of these successful applications, it must be kept in mind that only some of the physical parameters can be extracted from the LCs, namely those that have a significant effect on the LC and differ between EB subtypes.…”
Section: Introductionmentioning
confidence: 99%