other query modes : |
Identifier query |
Coordinate query |
Criteria query |
Reference query |
Basic query |
Script submission |
TAP |
Output options |
Object types |
Help |
V* HZ Lyr , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST03:19:11 |
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 |
---|---|---|---|---|---|---|---|---|---|
1951VeSon...1..407H | 217 | 2 | Die veraenderlichen Sterne der nordlichen Milchstrasse. Teil VI. | HOFFMEISTER C., ROHLFS E. and AHNERT P. | |||||
1978PASP...90..526B | 83 | 39 | A spectroscopic survey of high-latitude blue variables. II. | BOND H.E. | |||||
1980VeSon...9..197M | 47 | 9 | Bearbeitung von 47 blauen Veranderlichen in hohen galaktischen Breiten. | MEINUNGER I. | |||||
2000IBVS.4905....1K | 281 | 4 | Coordinates and identifications for Sonneberg variables on MVS 301-308. | KINNUNEN T. and SKIFF B.A. | |||||
2014AJ....147..119C | 16 | D | 1 | 8010 | 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 | 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. | ||
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. | ||
2018AJ....156..241H | 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 | 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. | ||
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. |