V* SW Psc , the SIMBAD biblio

V* SW Psc , the SIMBAD biblio (24 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST07:18:59


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Title First 3 Authors
1953AJ.....58..141S 186 0 Note on the distribution of RR Lyrae variables. SHAPLEY H.
1971IBVS..532....1U 67 T                   1 1 2 The secondary period of the variable star
SW Piscium.
URECHE V.
1983A&A...128...64C 272 7 A search for halo gradients through RR Lyrae pulsators. CASTELLANI V., MACERONI C. and TOSI M.
1986AJ.....91..354Y 661 25 On optical studies of high-velocity clouds. YORK D.G., BURKS G.S. and GIBNEY T.B.
1996AJ....112.2769S viz 106 31 The Behlen Observatory variable star survey. IV. SCHMIDT E.G. and SETH A.
2003RoAJ...13...83B 112 0 Archive of photometric plates obtained at Cluj astronomical observatory. BLAGA C., CHIS G.-D. and MIRCEA L.
2005IBVS.5641....1S         O           12 9 Revision of the list of galactic field RRab stars with known Blazhko periods. SODOR A. and JURCSIK J.
2006AJ....132.1202K viz 15       D               1185 88 Analysis of RR Lyrae stars in the northern sky variability survey. KINEMUCHI K., SMITH H.A., WOZNIAK P.R., et al.
2007A&A...476..307L viz 52       D   O X         2 127 85 Stellar evolution through the ages: period variations in galactic RRab stars as derived from the GEOS database and TAROT telescopes. LE BORGNE J.F., PASCHKE A., VANDENBROERE J., et al.
2008ApJ...678..865M viz 15       D               1 846 92 Evidence for distinct components of the galactic stellar halo from 838 RR Lyrae stars discovered in the LONEOS-I survey. MICELI A., REST A., STUBBS C.W., et al.
2012AJ....144...39L viz 15       D               1 144 20 The all-sky GEOS RR Lyr survey with the TAROT telescopes: analysis of the Blazhko effect. LE BORGNE J.-F., KLOTZ A., PORETTI E., et al.
2013ApJ...763...32D viz 16       D               1 12288 202 Probing the outer galactic halo with RR Lyrae from the Catalina surveys. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2013A&A...549A.101S viz 16       D               1 242 26 Known Galactic field Blazhko stars. SKARKA M.
2013ApJ...765..154D viz 16       D               1 3239 79 Evidence for a Milky way tidal stream reaching beyond 100 kpc. DRAKE A.J., CATELAN M., DJORGOVSKI S.G., et al.
2014MNRAS.441..715G viz 16       D               1 13079 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.
2012OEJV..147....1P 173 4 A List of Minima and Maxima Timings PASCHKE A.
2016ApJS..224....2H viz 16       D               1 31767 226 The K2 ecliptic plane input catalog (EPIC) and stellar classifications of 138,600 targets in campaigns 1-8. HUBER D., BRYSON S.T., HAAS M.R., et al.
2017MNRAS.465L...1S 43           X         1 4 10 KIC 2831097 - a 2-yr-orbital-period RR Lyrae binary candidate. SODOR A., SKARKA M., LISKA J., 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.
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.
2021AJ....161..193L viz 44           X         1 13 ~ AX UMa, an ab-type RR Lyrae star with a rapidly decreasing pulsation period, and its binarity. LI L.-J., QIAN S.-B., ZHU L.-Y., et al.
2021ApJ...912..144M viz 17       D               1 2105 23 Metallicity of galactic RR Lyrae from optical and infrared light curves. I. Period-Fourier-Metallicity relations for fundamental-mode RR Lyrae. MULLEN J.P., MARENGO M., MARTINEZ-VAZQUEZ C.E., 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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