TYC 3147-1049-1 , the SIMBAD biblio

TYC 3147-1049-1 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.19CEST01:23:10


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Title First 3 Authors
2014A&A...572L...5M viz 16       D               1 1210 165 Mixed modes in red giants: a window on stellar evolution. MOSSER B., BENOMAR O., BELKACEM K., et al.
2016ApJ...823..114N viz 16       D               1 72935 173 Spectroscopic determination of masses (and implied ages) for red giants. NESS M., HOGG D.W., RIX H.-W., et al.
2016AJ....152....6W viz 16       D               1 3060 13 Calibration of LAMOST stellar surface gravities using the Kepler asteroseismic data. WANG L., WANG W., WU Y., et al.
2016MNRAS.460.3179W viz 16       D               1 77460 19 Distance and extinction determination for APOGEE stars with Bayesian method. WANG J., SHI J., PAN K., et al.
2016ApJ...829...23D viz 16       D               1 4044 212 The Kepler catalog of stellar flares. DAVENPORT J.R.A.
2016A&A...594A..39F viz 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.466.3344E viz 16       D               1 6111 26 A new method for the asteroseismic determination of the evolutionary state of red-giant stars. ELSWORTH Y., HEKKER S., BASU S., et al.
2017ApJ...844..102H viz 16       D               1 2236 180 Asteroseismology and Gaia: testing scaling relations using 2200 Kepler stars with TGAS parallaxes. HUBER D., ZINN J., BOJSEN-HANSEN M., et al.
2018MNRAS.476.3233H viz 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 viz 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.
2019MNRAS.482..616B viz 17       D               1 6658 8 Coefficients of variation for detecting solar-like oscillations. BELL K.J., HEKKER S. and KUSZLEWICZ J.S.
2018ApJS..239...32P viz 16       D               1 6680 193 The second APOKASC catalog: the empirical approach. PINSONNEAULT M.H., ELSWORTH Y.P., TAYAR J., et al.
2019ApJ...878...21T viz 17       D               1 20765 54 The vertical motion history of disk stars throughout the Galaxy. TING Y.-S. and RIX H.-W.
2019ApJ...879...69T viz 17       D               1 222609 141 The Payne: self-consistent ab initio fitting of stellar spectra. TING Y.-S., CONROY C., RIX H.-W., et al.
2019MNRAS.489.4641E viz 17       D               1 6661 ~ Insights from the APOKASC determination of the evolutionary state of red-giant stars by consolidation of different methods. ELSWORTH Y., HEKKER S., JOHNSON J.A., et al.
2020A&A...639A...7J viz 17       D               1 276 10 Li-rich K giants, dust excess, and binarity. JORISSEN A., VAN WINCKEL H., SIESS L., et al.
2020AJ....160..120J viz 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.
2020ApJ...900....4S viz 17       D               1 121537 14 The age distribution of stars in the Milky Way bulge. SIT T. and NESS M.K.
2021A&A...650A.115D viz 17       D               1 2056 6 Seismic constraints on the internal structure of evolved stars: From high-luminosity RGB to AGB stars. DREAU G., MOSSER B., LEBRETON Y., et al.

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