OGLE Scl 3827 , the SIMBAD biblio

OGLE Scl 3827 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.20CEST06:21:25


Sort references on where and how often the object is cited
trying to find the most relevant references on this object.
More on score
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
1995A&AS..112..407K viz 14       D               232 100 OGLE catalogue of variable stars in the Sculptor dwarf spheroidal Galaxy. KALUZNY J., KUBIAK M., SZYMANSKI M., et al.
1995AJ....110.2747S viz 1221 65 The absolute proper motion and a membership survey of the Sculptor dwarf spheroidal galaxy. SCHWEITZER A.E., CUDWORTH K.M., MAJEWSKI S.R., et al.
1995IBVS.4252....1A 162 0 On new variables in the Sculptor galaxy. ANTIPIN S.V. and SAMUS N.N.
2001A&A...371..579K viz 380 96 Empirical relations for cluster RR Lyrae stars revisited. KOVACS G. and WALKER A.R.
2004yCat.2250....0S viz 15       D               3359 107 Combined General Catalogue of Variable Stars. SAMUS N.N. and DURLEVICH O.V.
2005MNRAS.363..734C viz 150 20 The metal abundance distribution of the oldest stellar component in the Sculptor dwarf spheroidal galaxy. CLEMENTINI G., RIPEPI V., BRAGAGLIA A., et al.
2016MNRAS.462.4349M viz 16       D               1 675 25 Variable stars in Local Group Galaxies - II. Sculptor dSph. MARTINEZ-VAZQUEZ C.E., STETSON P.B., MONELLI M., et al.
2018MNRAS.481..578G 99       D         F     2 58 3 SMHASH: a new mid-infrared RR Lyrae distance determination for the Local Group dwarf spheroidal galaxy Sculptor. GAROFALO A., SCOWCROFT V., CLEMENTINI G., 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.
2019AJ....158...16S viz 17       D               1 5775 ~ Identification of RR Lyrae stars in multiband, sparsely sampled data from the Dark Energy Survey using template fitting and random forest classification. STRINGER K.M., LONG J.P., MACRI L.M., 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.

goto View the references in ADS