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| US 3145 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST04:11:59 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
1984ApJS...56..393H |
14 | D | 1316 | 21 | Faint blue objects at high galactic latitude. IV. Palomar Schmidt fields centered on selected areas 55 and 94. | HUANG K.-L. and USHER P.D. | |||
| 1986A&AS...63....1B | 207 | 22 | Quasar candidates in the field of SA 94 (2h53m,+0 20'). | BARBIERI C. and CRISTIANI S. | |||||
|
2013ApJ...763...32D |
15 | 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. | ||
|
2014MNRAS.441.1230A |
15 | D | 1 | 5626 | 16 | Newly discovered RR Lyrae stars in the SDSS-Pan-STARRS1-Catalina footprint. | ABBAS M.A., GREBEL E.K., MARTIN N.F., 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. | ||
|
2017ApJ...850...96H |
16 | D | 1 | 13727 | 30 | The geometry of the Sagittarius stream from Pan-STARRS1 3π RR Lyrae. | HERNITSCHEK N., SESAR B., RIX H.-W., et al. | ||
|
2019AJ....158...16S |
16 | 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. | ||
|
2020A&A...638A.104R |
16 | D | 1 | 9495 | 37 | Full 5D characterisation of the Sagittarius stream with Gaia DR2 RR Lyrae. | RAMOS P., MATEU C., ANTOJA T., et al. | ||
|
2021ApJ...911..109S |
17 | D | 1 | 7001 | 17 | Identifying RR Lyrae variable stars in six years of the Dark Energy Survey. | STRINGER K.M., DRLICA-WAGNER A., MACRI L., 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. |