Cl* NGC 5024 KRA 8 , the SIMBAD biblio

Cl* NGC 5024 KRA 8 , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST12:32:31

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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
1990ATsir1544...21K 12 1 The new variable stars in the central region of the globular cluster M 53. KRAVTSOV V.V.
1997PAZh...23..454E viz 77 ~ Identification and coordinates of variable stars in the globular clusters M 53 = NGC 5024 and NGC 2808. EVSTIGNEEVA N.M., SAMUS N.N. and ALCAINO G.
2000A&A...358..547K viz 44 14 Variable stars in the globular cluster M53. KOPACKI G.
2009A&A...507..803D viz 165       D     X         5 118 17 Study of globular cluster M53: new variables, distance, metallicity. DEKANY I. and KOVACS G.
2011MNRAS.416.2265A viz 280       D     X   F     7 106 35 Exploring the variable stars in the globular cluster NGC 5024 (M53): new RR Lyrae and SX Phoenicis stars. ARELLANO FERRO A., FIGUERA JAIMES R., GIRIDHAR S., et al.
2011AJ....142..179S 356       D     X C       9 150 4 Variables in globular cluster NGC 5024. SAFONOVA M. and STALIN C.S.
2012MNRAS.420.1333A viz 511       D     X C F     12 83 22 The unusually large population of Blazhko variables in the globular cluster NGC 5024 (M53). ARELLANO FERRO A., BRAMICH D.M., FIGUERA JAIMES R., et al.
2012MNRAS.424.2722B viz 38           X         1 91 5 Investigation of variable star candidates in the globular cluster NGC 5024 (M53). BRAMICH D.M., ARELLANO FERRO A., FIGUERA JAIMES R., et al.
2019A&A...622A..60C viz 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.
2020AJ....160...31N 16       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.
2021ApJ...909..200B 17       D               1 71 20 RR Lyrae variables in Messier 53: near-infrared period-luminosity relations and the calibration using Gaia Early Data Release 3. BHARDWAJ A., REJKUBA M., DE GRIJS R., et al.
2022ApJS..261...33D viz 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.

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