Cl* NGC 5053 SAW V4 , the SIMBAD biblio

Cl* NGC 5053 SAW V4 , the SIMBAD biblio (13 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST02:50:38


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Title First 3 Authors
1927MiHam...6...92B 10 0 Der Sternhaufen NGC 5053. BAADE W.
1962PZ.....14..255P 11 0 An investigation of variable stars in the globular cluster NGC 5053. PEROVA N.B.
1977AJ.....82..389S 46 46 Halo globular cluster NGC 5053. SANDAGE A., KATEM B. and JOHNSON H.L.
1995AJ....109..618N viz 11 9 B, V photometry of the RR Lyrae stars in the very metal-poor globular cluster NGC 5053. NEMEC J.M., MATEO M. and SCHOMBERT J.M.
2004AJ....127.2185N 24 26 Physical characteristics of the RR Lyrae stars in the very metal poor globular cluster NGC 5053. NEMEC J.M.
2010MNRAS.402..226A viz 15       D               5 45 25 CCD time-series photometry of the globular cluster NGC 5053: RR Lyrae, blue stragglers and SX Phoenicis stars revisited. ARELLANO FERRO A., GIRIDHAR S. and BRAMICH D.M.
2012AJ....144..114S viz 39           X         1 16 28 Template RR Lyrae Hα, Hβ, and Hγ velocity curves. SESAR B.
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.
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.
2017ApJ...850...96H viz 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.
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...31N 17       D               2 114 ~ A search for extra-tidal RR Lyrae in globular clusters NGC 5024 and NGC 5053. NGEOW C.-C., BELECKI J., BURRUSS 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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