CD-61 901 , the SIMBAD biblio

CD-61 901 , the SIMBAD biblio (22 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST11:44:05


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Title First 3 Authors
2003A&A...403..247F viz 1217 54 A systematic study of X-ray variability in the ROSAT all-sky survey. FUHRMEISTER B. and SCHMITT J.H.M.M.
2004ApJ...608..166N 61 48 Nonthermal hard X-ray emission in galaxy clusters observed with the BeppoSAX PDS. NEVALAINEN J., OOSTERBROEK T., BONAMENTE M., et al.
2009ApJS..184..138H viz 15       D               2 20623 68 XID II: statistical cross-association of ROSAT bright source catalog X-ray sources with 2MASS point source catalog near-infrared sources. HAAKONSEN C.B. and RUTLEDGE R.E.
2010OEJV..128....1B 25 2 Chromospherically active stars in the ASAS-3 database: Paper 2. BERNHARD K. and BERNHARD C.
2010BAVSM.211....1B 151           X C       3 25 0 Chromospherically active stars in the ASAS-3 database: Paper 2. 25 new variables. BERNHARD K. and BERNHARD C.
2012AcA....62...67K viz 15       D               1 2326 121 ASAS photometry of ROSAT sources. I. Periodic variable stars coincident with bright sources from the ROSAT All Sky Survey. KIRAGA M.
2012ApJ...756...27L viz 15       D               1 4347 64 Classification of X-ray sources in the XMM-Newton serendipitous source catalog. LIN D., WEBB N.A. and BARRET D.
2013AJ....146..134K viz 15       D               1 419759 301 The radial velocity experiment (RAVE): fourth data release. KORDOPATIS G., GILMORE G., STEINMETZ M., et al.
2017AJ....153...75K viz 16       D               1 451448 394 The Radial Velocity Experiment (RAVE): fifth data release. KUNDER A., KORDOPATIS G., STEINMETZ M., et al.
2014ASPC..485..223B viz 15       D               1 465820 45 The JMMC stellar diameters catalog v2 (JSDC): a new release based on SearchCal improvements BOURGES L., LAFRASSE S., MELLA G., et al.
2017AJ....153..257O viz 16       D               1 10625 142 Comoving stars in Gaia DR1: an abundance of very wide separation comoving pairs. OH S., PRICE-WHELAN A.M., HOGG D.W., et al.
2018A&A...609A.116R viz 16       D               1 143018 65 Empirical photometric calibration of the Gaia red clump: Colours, effective temperature, and absolute magnitude. RUIZ-DERN L., BABUSIAUX C., ARENOU F., et al.
2018AJ....155..149B viz 16       D               1 9764 5 Fundamental properties of co-moving stars observed by Gaia. BOCHANSKI J.J., FAHERTY J.K., GAGNE J., et al.
2018ApJS..239....2B viz 16       D               1 4222 229 A revised exoplanet yield from the Transiting Exoplanet Survey Satellite (TESS). BARCLAY T., PEPPER J. and QUINTANA E.V.
2019AJ....157..211M viz 16       D               1 792 5 Detecting unresolved binaries in TESS data with speckle imaging. MATSON R.A., HOWELL S.B. and CIARDI D.R.
2019MNRAS.490.3158C viz 16       D               1 465839 28 A catalogue of stellar diameters and fluxes for mid-infrared interferometry. CRUZALEBES P., PETROV R.G., ROBBE-DUBOIS S., et al.
2020ApJ...890...46T viz 16       D               1 403 45 Superflares on solar-type stars from the first year observation of TESS. TU Z.-L., YANG M., ZHANG Z.J., et al.
2020AJ....160...83S viz 16       D               1 451375 83 The sixth Data Release of the Radial Velocity Experiment (RAVE). II. Stellar atmospheric parameters, chemical abundances, and distances. STEINMETZ M., GUIGLION G., McMILLAN P.J., et al.
2020AJ....160..120J viz 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.
2022AJ....163..152S viz 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 viz 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..143W viz 17       D               1 2785 1 Continuous Habitable Zones: Using Bayesian Methods to Prioritize Characterization of Potentially Habitable Worlds. WARE A., YOUNG P., TRUITT A., et al.

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