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| V* NT CMa , the SIMBAD biblio (15 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST08:08:02 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1991AJ....101.2102B | 20 | 42 | BV CCD photometry of the old open cluster NGC 2243. | BERGBUSCH P.A., VANDENBERG D.A. and INFANTE L. | |||||
|
1996A&AS..118..303K |
9 | 24 | Variable stars in the field of the old open cluster NGC 2243. | KALUZNY J., KRZEMINSKI W. and MAZUR B. | |||||
| 2000IBVS.4870....1K | 922 | 40 | The 75th name-list of variable stars. | KAZAROVETS E.V., SAMUS N.N. and DURLEVICH O.V. | |||||
| 2006AcA....56...51K | 22 | 4 | Eclipsing binaries in the open cluster NGC 2243. I. Photometry. | KALUZNY J., KRZEMINSKI W., THOMPSON I.B., 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. | ||
|
2017MNRAS.469.3688D |
16 | D | 1 | 37709 | 106 | The Catalina Surveys Southern periodic variable star catalogue. | DRAKE A.J., DJORGOVSKI S.G., CATELAN M., 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. | ||
|
2020MNRAS.496.4701J |
16 | D | 1 | 23794 | 26 | The Gaia-ESO Survey: membership probabilities for stars in 32 open clusters from 3D kinematics. | JACKSON R.J., JEFFRIES R.D., WRIGHT N.J., et al. | ||
|
2020A&A...643A..71G |
16 | D | 1 | 12328 | 25 | The Gaia-ESO Survey: Calibrating the lithium-age relation with open clusters and associations. I. Cluster age range and initial membership selections. | GUTIERREZ ALBARRAN M.L., MONTES D., GOMEZ GARRIDO 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. | ||
|
2022A&A...666A.121R |
17 | D | 1 | 38011 | 44 | The Gaia-ESO Public Spectroscopic Survey: Implementation, data products, open cluster survey, science, and legacy,. | RANDICH S., GILMORE G., MAGRINI L., et al. | ||
|
2023ApJ...944...88L |
17 | D | 1 | 135907 | 6 | Photometric Metallicity and Distance Estimates for ∼136,000 RR Lyrae Stars from Gaia Data Release 3. | LI X.-Y., HUANG Y., LIU G.-C., et al. | ||
|
2023A&A...671A..61N |
17 | D | 1 | 39409 | 4 | The Gaia-ESO Survey: Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning. | NEPAL S., GUIGLION G., DE JONG R.S., et al. | ||
|
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. | ||
|
2023A&A...676A.129H |
17 | D | 1 | 114943 | ~ | The Gaia-ESO Survey: Homogenisation of stellar parameters and elemental abundances. | HOURIHANE A., FRANCOIS P., WORLEY C.C., et al. |