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| NGC 3201 4209 , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.17CEST00:14:54 |
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 |
|---|---|---|---|---|---|---|---|---|---|
| 1976A&AS...26..251A | 50 | 16 | The globular cluster NGC 3201. | ALCAINO G. | |||||
| 1977A&AS...28..409L | 66 | 68 | UBV photometry of bright stars in NGC 3201. | LEE S.W. | |||||
| 1984AJ.....89..231C | 105 | 30 | BV photometry of RR Lyrae variables in the globular cluster NGC 3201. | CACCIARI C. | |||||
| 1990ApJ...350..603S | 339 | 168 | The vertical height of the horizontal branch: the range in the absolute magnitudes of RR Lyrae stars in a given globular cluster. | SANDAGE A. | |||||
1996PAZh...22..269S 
|
97 | ~ | The giant branch and variable stars in the globular cluster NGC 3201. | SAMUS N.N., KRAVTSOV V.V., PAVLOV M.V., et al. | |||||
| 2003AJ....125..208L | 59 | 18 | Photometry of the globular cluster NGC 3201 and its variable stars. | LAYDEN A.C. and SARAJEDINI A. | |||||
|
2014MNRAS.439.3765D
|
16 | D | 1 | 377 | 16 | Mid-infrared period-luminosity relations for globular cluster RR Lyrae. | DAMBIS A.K., RASTORGUEV A.S. and ZABOLOTSKIKH M.V. | ||
|
2018ApJ...864...57M
|
99 | D | C | 7 | 159 | 5 | Chemical compositions of field and globular cluster RR Lyrae stars. I. NGC 3201. | MAGURNO D., SNEDEN C., BRAGA V.F., 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. | ||
|
2020AJ....160..120J
|
17 | D | 1 | 365761 | 238 | APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. | JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., 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. |
