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2MASS J13125227+1811050 , the SIMBAD biblio (12 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.27CEST05:22:02 |
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 |
---|---|---|---|---|---|---|---|---|---|
1974ATsir.832....7G | 7 | 1 | Periods of 6 variables stars in the globular cluster M 53. | GORANSKIJ V.P. | |||||
1997PAZh...23..454E | 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 | 44 | 14 | Variable stars in the globular cluster M53. | KOPACKI G. | |||||
2009A&A...507..803D | 167 | D | X C | 4 | 118 | 17 | Study of globular cluster M53: new variables, distance, metallicity. | DEKANY I. and KOVACS G. | |
2011MNRAS.416.2265A | 92 | D | F | 5 | 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 | 15 | D | 1 | 150 | 4 | Variables in globular cluster NGC 5024. | SAFONOVA M. and STALIN C.S. | ||
2012MNRAS.420.1333A | 93 | D | F | 4 | 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. | |
2014MNRAS.445.1584S | 16 | D | 1 | 556 | 7 | Characteristics of bright AB-type RR Lyrae stars from the ASAS and WASP surveys. | SKARKA M. | ||
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. | ||
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. | ||
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 | 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. |