PG 1632+088 , the SIMBAD biblio

PG 1632+088 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2024.04.25CEST07:25:59


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Title First 3 Authors
1986ApJS...61..305G viz 1882 923 The Palomar-Green catalog of ultraviolet-excess stellar objects. GREEN R.F., SCHMIDT M. and LIEBERT J.
1988SAAOC..12....1K viz 1210 56 A catalogue of spectroscopically identified hot subdwarf stars. KILKENNY D., HEBER U. and DRILLING J.S.
1991ApJS...76.1001P viz 1762 52 Photoelectric UBV photometry of stars selected in the HK objective-prism survey. PRESTON G.W., SHECTMAN S.A. and BEERS T.C.
1992AJ....104..203W 318 79 Studies of hot B subdwarfs. VIII. Stromgren photometry of hot, hydrogen-rich subdwarf candidates in the Palomar-Green and Kitt Peak-Downes surveys. WESEMAEL F., FONTAINE G., BERGERON P., et al.
1997A&A...317..689T viz 170 23 Proper motions of the hot subdwarfs. The kinematic population membership of the sdB. THEJLL P., FLYNN C., WILLIAMSON R., et al.
2001MNRAS.326.1391M 2 54 348 The binary fraction of extreme horizontal branch stars. MAXTED P.F.L., HEBER U., MARSH T.R., et al.
2007ApJS..168..277B viz 15       D               1 1525 8 A catalog of candidate field horizontal-branch and A-type stars. III. A 2MASS-cleaned version. BEERS T.C., ALMEIDA T., ROSSI S., et al.
2019A&A...621A..38G viz 17       D               1 39805 85 The population of hot subdwarf stars studied with Gaia. II. The Gaia DR2 catalogue of hot subluminous stars. GEIER S., RADDI R., GENTILE FUSILLO N.P., et al.
2019MNRAS.490.3158C viz 17       D               1 465834 28 A catalogue of stellar diameters and fluxes for mid-infrared interferometry. CRUZALEBES P., PETROV R.G., ROBBE-DUBOIS S., et al.
2021ApJS..256...28L viz 17       D               1 2206 16 Hot subdwarf atmospheric parameters, kinematics, and origins based on 1587 hot subdwarf stars observed in Gaia DR2 and LAMOST DR7. LUO Y., NEMETH P., WANG K., et al.
2022ApJS..259...63S viz 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.

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