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| V* EN Hya , the SIMBAD biblio (15 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST00:05:07 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1959AnLei..21..253V | 34 | 22 | Observations of variable stars in the globular clusters NGC 4590 (M 68) and NGC 6266 (M 62). | VAN AGT S.L.T.J. and OOSTERHOFF P.T. | |||||
|
1993ApJ...412..183C |
57 | 39 | The RR Lyrae variables in the globular cluster M 68. | CLEMENT C.M., FERANCE S. and SIMON N.R. | |||||
|
2005A&A...431..143C |
8321 | 16 | The stellar content of the Hamburg/ESO survey. III. Field horizontal-branch stars in the Galaxy. | CHRISTLIEB N., BEERS T.C., THOM C., et al. | |||||
|
2009PASP..121.1378S |
15 | D | 1 | 185 | 42 | A catalog of accurate equatorial coordinates for variable stars in globular clusters. | SAMUS N.N., KAZAROVETS E.V., PASTUKHOVA E.N., et al. | ||
|
2014MNRAS.441..715G |
15 | D | 1 | 13086 | 14 | A mid-infrared study of RR Lyrae stars with the Wide-field Infrared Survey Explorer all-sky data release. | GAVRILCHENKO T., KLEIN C.R., BLOOM J.S., et al. | ||
|
2015MNRAS.446.2251T |
16 | D | 1 | 10532 | 100 | Discovery of ∼9,000 new RR Lyrae in the southern Catalina surveys. | TORREALBA G., CATELAN M., DRAKE A.J., et al. | ||
|
2015A&A...578A.128K |
250 | D | X C | 6 | 67 | 15 | A census of variability in globular cluster M 68 (NGC 4590). | KAINS N., ARELLANO FERRO A., FIGUERA JAIMES R., et al. | |
|
2017AJ....153..204S |
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 |
16 | D | 1 | 311106 | 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 |
16 | 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. | ||
|
2022MNRAS.510.3575H |
17 | D | 1 | 71780 | 1 | Identifying RR Lyrae in the ZTF DR3 data set. | HUANG K.-W. and KOPOSOV S.E. | ||
|
2022MNRAS.513..788G |
17 | D | 1 | 690 | 10 | New LZ and PW(Z) relations of RR Lyrae stars calibrated with Gaia EDR3 parallaxes. | GAROFALO A., DELGADO H.E., SARRO L.M., et al. | ||
|
2022ApJS..261...33D |
17 | 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. | ||
|
2023A&A...674A..18C |
17 | D | 1 | 271810 | 30 | Gaia Data Release 3 Specific processing and validation of all-sky RR Lyrae and Cepheid stars: The RR Lyrae sample. | CLEMENTINI G., RIPEPI V., GAROFALO A., et al. | ||
|
2024A&A...690L..17L |
18 | D | 1 | 11379 | ~ | An 'alien' called the Oosterhoff dichotomy? | LUONGO E., RIPEPI V., MARCONI M., et al. |