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| TYC 3125-282-1 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST17:23:04 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
2013A&A...557L..10N 
|
16 | D | 1 | 12151 | 189 | Rotation periods of 12000 main-sequence Kepler stars: dependence on stellar spectral type and comparison with v sin i observations. | NIELSEN M.B., GIZON L., SCHUNKER H., et al. | ||
|
2013A&A...560A...4R
|
16 | D | 1 | 24132 | 291 | Rotation and differential rotation of active Kepler stars. | REINHOLD T., REINERS A. and BASRI G. | ||
|
2015A&A...583A..65R
|
16 | D | 1 | 20938 | 134 | Rotation, differential rotation, and gyrochronology of active Kepler stars. | REINHOLD T. and GIZON L. | ||
|
2016A&A...594A..39F
|
16 | D | 1 | 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. | ||
|
2019ApJ...873L...5C
|
17 | D | 1 | 160 | 16 | Discovery of resolved magnetically split lines in SDSS/APOGEE spectra of 157 Ap/Bp stars. | CHOJNOWSKI S.D., HUBRIG S., HASSELQUIST S., et al. | ||
|
2019A&A...628A..81S
|
17 | D | 1 | 245 | ~ | Strongly magnetic Ap stars in the Gaia DR2 Hertzsprung-Russell diagram. I. Selecting the most reliable astrometric and photometric data. | SCHOLZ R.-D., CHOJNOWSKI S.D. and HUBRIG S. | ||
|
2020AJ....160..120J
|
17 | D | 1 | 365761 | 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. | ||
|
2020A&A...640A..40H
|
17 | D | 1 | 1016 | 21 | A plethora of new, magnetic chemically peculiar stars from LAMOST DR4. | HUMMERICH S., PAUNZEN E. and BERNHARD K. | ||
|
2022ApJS..259...63S
|
18 | D | 1 | 10264 | 2 | Objective Separation between CP1 and CP2 Based on Feature Extraction with Machine Learning. | SHANG L.-H., LUO A.-L., WANG L., et al. |
