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| V* AY Oct , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST13:17:52 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 1981MitVS...9...16G | 74 | 0 | Bearbeitung von 74 Veranderlichen am Sudhimmel. | GESSNER H. | |||||
1993PASP..105..127D 
|
819 | 152 | A catalog and atlas of cataclysmic variables. | DOWNES R.A. and SHARA M.M. | |||||
|
1997A&AS..124...55C
|
620 | 19 | Southern and equatorial irregular variables. I. Photoelectric photometry. | CIESLINSKI D., JABLONSKI F.J. and STEINER J.E. | |||||
|
1997PASP..109..345D
|
1017 | 137 | A catalog and atlas of cataclysmic variables-second edition. | DOWNES R., WEBBINK R.F. and SHARA M.M. | |||||
|
1998A&AS..131..119C
|
176 | 19 | Southern and equatorial irregular variables. II. Optical spectroscopy. | CIESLINSKI D., STEINER J.E. and JABLONSKI F.J. | |||||
|
2001PASP..113..764D
|
1714 | 277 | A catalog and atlas of cataclysmic variables: the living edition. | DOWNES R.A., WEBBINK R.F., SHARA M.M., et al. | |||||
|
2016AcA....66..131S
|
16 | D | 1 | 46551 | 96 | The OGLE Collection of Variable Stars. Over 45 000 RR Lyrae Stars in the Magellanic System. | SOSZYNSKI I., UDALSKI A., SZYMANSKI M.K., et al. | ||
|
2019A&A...622A..60C
|
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. | ||
| 2019AcA....69...87S | 17 | D | 2 | 47837 | ~ | Final Release of the OGLE Collection of Cepheids and RR Lyrae Stars in the Magellanic System. The Outer Regions. | SOSZYNSKI I., UDALSKI A., SZYMANSKI M.K., et al. | ||
|
2022ApJS..261...33D
|
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. |
