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| Cl* NGC 7099 SAW V3 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.23CEST20:00:20 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
1996AJ....112.1061B 
|
1 | 6 | 19 | Luminosity functions for post-turnoff stars in globular clusters. II. NGC 7099. | BERGBUSCH P.A. | ||||
|
1949MmSAI..20...63R
|
D | X | 3 | 5 | Ricerche sugli ammassi globulari. I. Distribuzione e variabilita delle stelle del' ammasso M 30 e valutazione della sua distanza. | ROSINO L. | |||
|
2013A&A...555A..36K
|
484 | D | S X | 12 | 31 | 18 | Estimating the parameters of globular cluster M 30 (NGC 7099) from time-series photometry. | KAINS N., BRAMICH D.M., ARELLANO FERRO A., 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. | ||
|
2017MNRAS.469.3688D
|
16 | D | 1 | 37711 | 106 | The Catalina Surveys Southern periodic variable star catalogue. | DRAKE A.J., DJORGOVSKI S.G., CATELAN M., et al. | ||
|
2017ApJ...850...96H
|
16 | D | 1 | 13727 | 30 | The geometry of the Sagittarius stream from Pan-STARRS1 3π RR Lyrae. | HERNITSCHEK N., SESAR B., RIX H.-W., et al. | ||
|
2018MNRAS.478.1520B
|
16 | D | 1 | 11619 | 300 | A catalogue of masses, structural parameters, and velocity dispersion profiles of 112 Milky Way globular clusters. | BAUMGARDT H. and HILKER M. | ||
|
2018AJ....156..241H
|
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
|
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
|
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. |
