CD-28 583 , the SIMBAD biblio

CD-28 583 , the SIMBAD biblio (10 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST05:46:02

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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
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.
2008AcA....58..405S viz 15       D               1 810 27 Coronal activity from the ASAS eclipsing binaries. SZCZYGIEL D.M., SOCRATES A., PACZYNSKI B., et al.
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.
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.
2012OEJV..142....1P 87 7 A List of Minima and Maxima Timings PASCHKE A.
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.
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.
2022ApJS..258...16P viz 17       D               1 4582 43 TESS Eclipsing Binary stars. I. Short-cadence observations of 4584 eclipsing binaries in sectors 1-26. PRSA A., KOCHOSKA A., CONROY K.E., et al.
2023A&A...674A..16M viz 17       D               1 2184478 19 Gaia Data Release 3 The first Gaia catalogue of eclipsing-binary candidates. MOWLAVI N., HOLL B., LECOEUR-TAIBI I., et al.
2024AJ....167..192D viz 18       D               1 1374 ~ Detection of Contact Binary Candidates Observed By TESS Using the Autoencoder Neural Network. DING X., SONG Z., WANG C., et al.

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