BPS CS 22949-0020 , the SIMBAD biblio

BPS CS 22949-0020 , the SIMBAD biblio (9 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST22:07:15

Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
Bibcode/DOI Score in Title|Abstract|
Keywords 		in a table in teXt, Caption, ... Nb occurence Nb objects in ref Citations
(from ADS) 		Title First 3 Authors
1991ApJS...76.1001P viz 1762 52 Photoelectric UBV photometry of stars selected in the HK objective-prism survey. PRESTON G.W., SHECTMAN S.A. and BEERS T.C.
1992AJ....103..267B viz 14       D               2 754 66 Spectroscopy of hot stars in the galactic halo. BEERS T.C., PRESTON G.W., SHECTMAN S.A., et al.
1999AJ....117.2329W viz 1125 45 Spectroscopy of hot stars in the galactic halo. III. Analysis of a large sample of field horizontal-branch and other A-type stars. WILHELM R., BEERS T.C., SOMMER-LARSEN J., et al.
2013ApJ...763...32D viz 16       D               1 12288 202 Probing the outer galactic halo with RR Lyrae from the Catalina surveys. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2014NewA...27....1M viz 16       D               1 120 4 APASS BVgri search for and characterization of RR Lyr variables candidate members of the Aquarius halo stream. MUNARI U., HENDEN A. and FRIGO A.
2017AJ....153..204S viz 16       D               1 46977 123 Machine-learned identification of RR Lyrae stars from sparse, multi-band data: the PS1 sample. SESAR B., HERNITSCHEK N., MITROVIC S., et al.
2018AJ....156..241H viz 16       D               1 311114 199 A first catalog of variable stars measured by the Asteroid Terrestrial-impact Last Alert System (ATLAS). HEINZE A.N., TONRY J.L., DENNEAU L., et al.
2019A&A...622A..60C viz 17       D               1 150347 194 Gaia Data Release 2. Specific characterisation and validation of all-sky Cepheids and RR Lyrae stars. CLEMENTINI G., RIPEPI V., MOLINARO R., et al.
2022ApJS..261...33D viz 18       D               1 104673 3 Photometric Metallicity Prediction of Fundamental-mode RR Lyrae Stars in the Gaia Optical and Ks Infrared Wave Bands by Deep Learning. DEKANY I. and GREBEL E.K.

goto View the references in ADS