V* V638 Her , the SIMBAD biblio

V* V638 Her , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST14:44:13


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Title First 3 Authors
1972IBVS..717....1K 1829 16 58th name-list of variable stars. KUKARKIN B.V., KHOLOPOV P.N., KUKARKINA N.P., et al.
1983MitVS..10....1M 32 2 Veranderliche in einem Feld um den Kugelhaufen M 92. MEINUNGER L.
2015MNRAS.452..765G viz 16       D               2 1185 8 An independent test of the photometric selection of white dwarf candidates using LAMOST DR3. GENTILE FUSILLO N.P., REBASSA-MANSERGAS A., GANSICKE B.T., et al.
2019A&A...621A..38G viz 16       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.
2020AJ....159...43H viz 16       D               1 182 17 Spectroscopically identified cataclysmic variables from the LAMOST survey. I. The sample. HOU W., LUO A.-L., LI Y.-B., et al.
2021ApJS..257...65S viz 17       D               1 328 5 A catalog of 323 cataclysmic variables from LAMOST DR6. SUN Y., CHENG Z., YE S., et al.
2022ApJ...928...20B viz 17       D               2 1219 10 New Variable Hot Subdwarf Stars Identified from Anomalous Gaia Flux Errors, Observed by TESS, and Classified via Fourier Diagnostics. BARLOW B.N., CORCORAN K.A., PARKER I.M., et al.
2022A&A...662A..40C viz 17       D               1 62976 9 The population of hot subdwarf stars studied with Gaia. IV. Catalogues of hot subluminous stars based on Gaia EDR3. CULPAN R., GEIER S., REINDL N., et al.
2023AJ....165..148H viz 104       D     X         3 220 1 Spectroscopically Identified Cataclysmic Variables from the LAMOST Survey. II. Period Estimates. HOU W., LUO A.-L., DONG Y.-Q., et al.
2023AJ....165..163C viz 17       D               1 1619 ~ Galactic Model Parameters and Spatial Density of Cataclysmic Variables in the Gaia Era: New Constraints on Population Models. CANBAY R., BILIR S., OZDONMEZ A., et al.
2025A&A...693A.268R viz 19       D               1 581 ~ Variability in hot sub-luminous stars and binaries: Machine-learning analysis of Gaia DR3 multi-epoch photometry. RANAIVOMANANA P., UZUNDAG M., JOHNSTON C., et al.

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