NGC 5272 1105 , the SIMBAD biblio

NGC 5272 1105 , the SIMBAD biblio (26 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.20CEST17:45:33


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Title First 3 Authors
1908AnPar..25....1V viz 1572 ~ Catalogue de 1571 etoiles contenues dans l'amas globulaire Messier 3 (NGC 5272). VON ZEIPEL M.H.
1955AJ.....60..185R 71 69 The region of instability for RR Lyrae stars in the color-magnitude diagram for M 3. ROBERTS M. and SANDAGE A.
1956AJ.....61..283B 98 14 Ultraviolet light-curves of selected variable stars in M 3. BAKER R.H. and BAKER H.V.
1981ApJ...248..161S 130 224 The Oosterhoff period groups and the age of globular clusters. II. Properties of RR Lyrae stars in six clusters: the P-L-A relation. SANDAGE A.
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.
1994A&AS..104..161T viz 728 21 Proper motion study of the globular cluster M 3. TUCHOLKE H.-J., SCHOLZ R.-D. and BROSCHE P.
1994PAZh...20..693E viz 287 ~ Identifications and coordinates of variable stars in the globular cluster M 3 = NGC 5272. EVSTIGNEEVA N.M., SAMUS N.N., TSVETKOVA T.M., et al.
1998MNRAS.296..347K 52 68 A search for variable stars in the globular cluster M3. KALUZNY J., HILDITCH R.W., CLEMENT C., et al.
1998MNRAS.298.1005C 62 32 RR Lyrae variables in the globular cluster M3 (NGC 5272) - I. BVI CCD photometry. CARRETTA E., CACCIARI C., FERRARO F.R., et al.
1998MNRAS.300..251S 107 15 Metallicity of clusters from RRab pulsators: results of an automatic analysis. SCHWARZENBERG-CZERNY A. and KALUZNY J.
1999AJ....118..453C viz 45 21 New CCD observations of the RR Lyrae variables in the Oosterhoff type II cluster M9. CLEMENT C.M. and SHELTON I.
2001A&A...371..579K viz 380 96 Empirical relations for cluster RR Lyrae stars revisited. KOVACS G. and WALKER A.R.
2001AJ....122.3183C 209 59 BV photometry of the RR Lyrae variables of the globular cluster M 3. CORWIN T.M. and CARNEY B.W.
2001AJ....122.3212S 39 12 The RR Lyrae variables in M3. I. Abundance determinations. SANDSTROM K., PILACHOWSKI C.A. and SAHA A.
2003A&A...403..587J 32 3 The metallicity range of variables in M 3. JURCSIK J.
2005AJ....129.1596H viz 181 11 BVI photometric variability survey of M3. HARTMAN J.D., KALUZNY J., SZENTGYORGYI A., et al.
2012MNRAS.419.2173J viz 93       D         F     2 141 30 Long-term photometric monitoring of RR Lyrae stars in Messier 3. JURCSIK J., HAJDU G., SZEIDL B., et al.
2014MNRAS.439.3765D viz 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.
2014MNRAS.445.1584S viz 16       D               1 556 7 Characteristics of bright AB-type RR Lyrae stars from the ASAS and WASP surveys. SKARKA M.
2015AJ....150..129S viz 16       D               2 313 ~ The Swift UVOT stars survey. II. RR Lyrae stars in M3 and M15. SIEGEL M.H., PORTERFIELD B.L., BALZER B.G., et al.
2017AJ....153..204S viz 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.468.1317J 260       D     X   F     6 195 21 Photometric and radial-velocity time series of RR Lyrae stars in M3: analysis of single-mode variables. JURCSIK J., SMITOLA P., HAJDU G., et al.
2018AJ....156..241H viz 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 viz 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..220B viz 17       D               1 240 ~ Near-infrared census of RR Lyrae variables in the Messier 3 globular cluster and the period-luminosity relations. BHARDWAJ A., REJKUBA M., DE GRIJS R., et al.
2022ApJS..261...33D viz 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.

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