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| TYC 3125-2265-1 , the SIMBAD biblio (17 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.16CEST22:08:13 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2016AJ....152....6W |
16 | D | 1 | 3060 | 13 | Calibration of LAMOST stellar surface gravities using the Kepler asteroseismic data. | WANG L., WANG W., WU Y., et al. | ||
|
2016ApJS..226....1J |
16 | D | 1 | 894 | 4 | Carbon stars from LAMOST DR2 data. | JI W., CUI W., LIU C., et al. | ||
|
2016A&A...594A..39F |
16 | D | 2 | 51408 | 86 | Activity indicators and stellar parameters of the Kepler targets. An application of the ROTFIT pipeline to LAMOST-Kepler stellar spectra. | FRASCA A., MOLENDA-ZAKOWICZ J., DE CAT P., et al. | ||
|
2017MNRAS.469.4578H |
16 | D | 1 | 8666 | 48 | Deep learning classification in asteroseismology. | HON M., STELLO D. and YU J. | ||
|
2018MNRAS.475.3633W |
16 | D | 1 | 3727 | 38 | Mass and age of red giant branch stars observed with LAMOST and Kepler. | WU Y., XIANG M., BI S., et al. | ||
|
2018MNRAS.476.3233H |
16 | D | 1 | 15009 | 17 | Deep learning classification in asteroseismology using an improved neural network: results on 15 000 Kepler red giants and applications to K2 and TESS data. | HON M., STELLO D. and YU J. | ||
|
2018ApJS..236...42Y |
16 | D | 1 | 16097 | 158 | Asteroseismology of 16,000 Kepler red giants: global oscillation parameters, masses, and radii. | YU J., HUBER D., BEDDING T.R., et al. | ||
|
2020AJ....160..120J |
16 | D | 1 | 365763 | 238 | APOGEE data and spectral analysis from SDSS Data Release 16: seven years of observations including first results from APOGEE-South. | JONSSON H., HOLTZMAN J.A., ALLENDE PRIETO C., et al. | ||
|
2020ApJS..251...15Z |
16 | D | 1 | 20886 | 38 | Phase II of the LAMOST-Kepler/K2 survey. I. Time series of medium-resolution Spectroscopic observations. | ZONG W., FU J.-N., DE CAT P., et al. | ||
|
2021AJ....161..170S |
17 | D | 1 | 16187 | ~ | The Swan: data-driven inference of stellar surface gravities for cool stars from photometric light curves. | SAYEED M., HUBER D., WHEELER A., 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. | ||
|
2022ApJ...927..167L |
17 | D | 2 | 3663 | 12 | Asteroseismology of 3642 Kepler Red Giants: Correcting the Scaling Relations Based on Detailed Modeling. | LI T., LI Y., BI S., 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. | ||
|
2022A&A...664A..78F |
17 | D | 1 | 7452 | 7 | Characterization of Kepler targets based on medium-resolution LAMOST spectra analyzed with ROTFIT,. | FRASCA A., MOLENDA-ZAKOWICZ J., ALONSO-SANTIAGO J., et al. | ||
|
2023A&A...678A.158A |
17 | D | 1 | 171655 | ~ | Spectroscopic age estimates for APOGEE red-giant stars: Precise spatial and kinematic trends with age in the Galactic disc. | ANDERS F., GISPERT P., RATCLIFFE B., et al. | ||
| 2025ApJ...980..265M | 19 | D | 1 | 84 | ~ | High Lithium Abundance Connection with the Chromospheric Helium in Red Giants: Spectroscopic and Asteroseismic Analyses. | MALLICK A., SNEDEN C., REDDY B.E., et al. |