activity
19962014
most citedThe Luminosities and Distance Scales of Type II Cepheid and RR Lyrae variables

134 citations · 533 across the 17 of their papers we have counts for

collaborators

17 papers

astro-ph.SR2014★ 11 cited

The Identification of RR Lyrae and Delta Scuti Stars from Variable GALEX Ultraviolet Sources

T. D. Kinman, Warren R. Brown

We identify the RR Lyrae and delta Scuti (DSCT) stars in three catalogs of GALEX variable sources. The NUV amplitude of RR Lyrae stars is about twice that in V-band, so we find a l…

astro-ph.SR2014★ 17 cited

Seven New Carbon-Enhanced Metal-Poor RR Lyrae Stars

Catherine R. Kennedy, Richard J. Stancliffe, Charles Kuehn +6

We report estimated carbon-abundance ratios, [C/Fe], for seven newly-discovered carbon-enhanced metal-poor (CEMP) RR Lyrae stars. These are well-studied RRab stars that had previou…

astro-ph.GA2012★ 12 cited

A New CEMP-s RR Lyrae Star

T. D. Kinman, W. Aoki, T. C. Beers +1

We show that SDSS J170733.93+585059.7 (hereafter SDSS J1707+58), previously identified by Aoki and collaborators as a carbon-enhanced metal-poor star (with s-process-element enhanc…

astro-ph.GA2012★ 51 cited

The Kinematic Properties of BHB and RR Lyrae stars towards the Anticentre and the North Galactic Pole: The Transition between the Inner and the Outer Halo

T. D. Kinman, C. Cacciari, A. Bragaglia +2

We identify 51 blue horizontal branch (BHB) stars, 12 possible BHB stars and 58 RR Lyrae stars in Anticentre fields. Their selection does not depend on their kinematics. Light curv…

astro-ph.GA2011★ 3 cited

The BHB stars in the Survey Fields of Rodgers et al. (1993): New Observations and Comparisons with other Recent Surveys

T. D. Kinman, Warren R. Brown

We study blue horizontal branch (BHB) and RR Lyrae stars in the Rogers et al. (1993a) fields and compare their velocity and density distributions with other surveys in the same par…

astro-ph.GA2010★ 16 cited

Low-Amplitude Variables: Distinguishing RR Lyrae stars from Eclipsing Binaries

T. D. Kinman, Warren R. Brown

It is not easy to identify and classify low-amplitude variables, but it is important that the classification is done correctly. We use photometry and spectroscopy to classify low-a…