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| UCAC4 326-100328 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST11:38:21 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2019ApJ...879...69T |
16 | D | 1 | 222610 | 141 | The Payne: self-consistent ab initio fitting of stellar spectra. | TING Y.-S., CONROY C., RIX H.-W., et al. | ||
|
2019AJ....158..147H |
16 | D | 1 | 44781 | 43 | Spectrophotometric parallaxes with linear models: accurate distances for luminous red-giant stars. | HOGG D.W., EILERS A.-C. and RIX H.-W. | ||
|
2020ApJ...901..109H |
16 | D | 1 | 45439 | 31 | Exploring the stellar age distribution of the Milky Way bulge using APOGEE. | HASSELQUIST S., ZASOWSKI G., FEUILLET D.K., et al. | ||
|
2022AJ....163..152S |
17 | D | 1 | 583193 | 11 | APOGEE Net: An Expanded Spectral Model of Both Low-mass and High-mass Stars. | SPRAGUE D., CULHANE C., KOUNKEL M., et al. | ||
|
2022ApJS..259...35A |
17 | D | 1 | 611005 | 320 | The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data. | ABDURRO'UF, ACCETTA K., AERTS C., et al. | ||
|
2022ApJ...929...33H |
17 | D | 1 | 114072 | 2 | Quantifying Chemical and Kinematical Properties of Galactic Disks. | HU G. and SHAO Z. | ||
|
2023A&A...677A..21K |
17 | D | 1 | 18722 | ~ | Investigating Gaia EDR3 parallax systematics using asteroseismology of Cool Giant Stars observed by Kepler, K2, and TESS I. Asteroseismic distances to 12 500 red-giant stars. | KHAN S., MIGLIO A., WILLETT E., et al. | ||
|
2024AJ....167...50S |
18 | D | 1 | 7678 | ~ | The APO-K2 Catalog. I. ∼7500 Red Giants with Fundamental Stellar Parameters from APOGEE DR17 Spectroscopy and K2-GAP Asteroseismology. | SCHONHUT-STASIK J., ZINN J.C., STASSUN K.G., et al. | ||
|
2024A&A...685A..66B |
18 | D | 1 | 17 | ~ | A catalogue of asteroseismically calibrated ages for APOGEE DR17 The predictions of a CatBoost machine learning model based on the [Mg/Ce] chemical clock and other stellar parameters. | BOULET T. |