Astronomy and Astrophysics – Astronomy
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21722603b&link_type=abstract
American Astronomical Society, AAS Meeting #217, #226.03; Bulletin of the American Astronomical Society, Vol. 43, 2011
Astronomy and Astrophysics
Astronomy
Scientific paper
Observations of a small sample of eclipsing binary systems composed exclusively of low mass stars (< 0.8 Msun, spectral type K and M) indicate that theoretical models of stellar structure and evolution (e.g. Baraffe et al. 1998) systematically under-predict the observed radii by 10%. Tidal effects and rotation-induced magnetic fields in close binaries may be responsible for this disagreement, but the small observed sample of these objects presents difficulties in testing this hypothesis. Large scale time-domain surveys are an effective method for discovery and characterization of these intrinsically faint eclipsing binaries. Here, we present results of a search for periodic variables in multi-band sparsely sampled timeseries data from SDSS Stripe 82, including the discovery of 200 eclipsing binary candidates. These include 51 K and 79 M-dwarf eclipsing binaries as classified by their SDSS colors. We discuss the general properties of this sample, including the period, spectral type, and binary type distributions. For 30 of these objects that have sufficient phase coverage and secure orbital period determinations, we model the SDSS riz-band light-curves using the Wilson-Devinney code (Wilson & Devinney 1971), and determine relative radii, temperatures, luminosities, and orbital inclinations. Finally, we identify 5 M-dwarf eclipsing binaries in this sample with median SDSS r < 18.0 mag that are particularly suitable for photometric and spectroscopic followup observations. These observations will result in precise measurements of the binary components' masses and radii, placing better constraints on the observed mass-radius relation of the lower main-sequence, and the extent of its disagreement with predictions from theoretical models.
Based on data from the Sloan Digital Sky Survey (http://www.sdss.org). This research was supported in part by NASA grant NAG5-7697.
Bhatti Waqas
Ford Holland C.
Petro Larry D.
Richmond Michael William
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