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| V* V715 Cyg , the SIMBAD biblio (27 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST00:24:29 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
| 1953RA......3....1M | 65 | T | 1 | 13 | 2 |
Five new Cygnus-cloud variables, VV 11-15. |
MILLER W.J.S.J. | ||
| 1956RA......3..381M | 30 | 1 | Five new RR Lyrae variables in the Cygnus cloud, VV 21-25. | MILLER W.J.S.J. | |||||
| 1968RA......7..313M | 201 | ~ | Ten new variable stars in the Cygnus cloud, VV 191-200. | MILLER W.J. | |||||
| 2010MNRAS.409.1585B | 16 | D | 1 | 33 | 121 | Flavours of variability: 29 RR Lyrae stars observed with Kepler. | BENKO J.M., KOLENBERG K., SZABO R., et al. | ||
| 2011MNRAS.417.1022N | 1304 | D | X C F | 33 | 58 | 80 | Fourier analysis of non-blazhko ab-type RR Lyrae stars observed with the Kepler space telescope. | NEMEC J.M., SMOLEC R., BENKO J.M., et al. | |
| 2013ApJ...773..181N | 15 | D | 5 | 68 | 131 | Metal abundances, radial velocities, and other physical characteristics for the RR Lyrae stars in the Kepler field. | NEMEC J.M., COHEN J.G., RIPEPI V., et al. | ||
|
2014AJ....147..119C |
15 | D | 1 | 8013 | 91 | Contamination in the Kepler field. Identification of 685 KOIs as false positives via ephemeris matching based on Q1-Q12 data. | COUGHLIN J.L., THOMPSON S.E., BRYSON S.T., 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. | ||
|
2016ApJ...829...23D |
16 | D | 1 | 4045 | 212 | The Kepler catalog of stellar flares. | DAVENPORT J.R.A. | ||
| 2016ApJS..227...30N | 94 | D | C | 5 | 47 | 4 | The Palomar Transient Factory and RR Lyrae: the metallicity-light curve relation based on ab-type RR Lyrae in the Kepler field. | NGEOW C.-C., YU P.-C., BELLM E., et al. | |
|
2017AJ....153..204S |
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. | ||
| 2018MNRAS.473..412B | 16 | D | 1 | 37 | 3 | On the connection between almost periodic functions and Blazhko light curves. | BENKO J.M. | ||
|
2018ApJ...864...57M |
16 | D | 1 | 159 | 5 | Chemical compositions of field and globular cluster RR Lyrae stars. I. NGC 3201. | MAGURNO D., SNEDEN C., BRAGA V.F., et al. | ||
|
2018AJ....156..241H |
16 | D | 1 | 311106 | 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 |
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. | ||
| 2019MNRAS.485.5897B | 219 | D | X | 6 | 35 | 2 | Revisiting the Kepler non-Blazhko RR Lyrae sample: cycle-to-cyle variations and additional modes. | BENKO J.M., JURCSIK J. and DEREKAS A. | |
|
2020ApJS..249...18C |
16 | D | 1 | 781605 | 122 | The Zwicky Transient Facility catalog of periodic variable stars. | CHEN X., WANG S., DENG L., et al. | ||
|
2021MNRAS.500.5009M |
17 | D | 1 | 168 | ~ | A theoretical scenario for Galactic RR Lyrae in the Gaia data base: constraints on the parallax offset. | MARCONI M., MOLINARO R., RIPEPI V., et al. | ||
|
2022MNRAS.510.3575H |
17 | D | 1 | 71780 | 1 | Identifying RR Lyrae in the ZTF DR3 data set. | HUANG K.-W. and KOPOSOV S.E. | ||
|
2022ApJ...932..118C |
17 | D | 2 | 730182 | 4 | Searching for Anomalies in the ZTF Catalog of Periodic Variable Stars. | CHAN H.-S., VILLAR V.A., CHEUNG S.-H., et al. | ||
|
2022AJ....164...45N |
17 | D | 2 | 31 | 2 | Evaluating the V-band Photometric Metallicity with Fundamental Mode RR Lyrae in the Kepler Field. | NGEOW C.-C. | ||
|
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. | ||
|
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...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. | ||
|
2023AJ....166...83L |
17 | D | 1 | 14 | ~ | Two Different Weak Modulations in ab-type RR Lyrae Variable V838 Cyg, and Potential Influence of Metal Abundance on Blazhko Modulation. | LI L.-J., QIAN S.-B., SHI X.-D., et al. | ||
| 2025A&A...697A.154B | 19 | D | 1 | 50 | ~ | Connections between the cycle-to-cycle light curve and O-C variations of non-Blazhko RR Lyrae stars. | BENKO J.M., BODI A., PLACHY E., et al. | ||
| 2025A&A...699A..20K | 47 | X | 1 | 13 | ~ | Digging deeper for RR Lyrae stars with low modulation amplitudes. | KOVACS G. |