V* V1059 Her , the SIMBAD biblio

V* V1059 Her , the SIMBAD biblio (12 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST11:56:51


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Title First 3 Authors
2000AJ....119.1901A viz 14       D               1 1767 300 ROTSE all-sky surveys for variable stars. I. Test fields. AKERLOF C., AMROSE S., BALSANO R., et al.
2001IBVS.5060....1D 73 18 Times of minimum of eclipsing binaries from ROTSE1 CCD data, III: variables classified as type E. DIETHELM R.
2003IBVS.5422....1K 1154 24 The 77th name-list of variable stars. KAZAROVETS E.V., KIREEVA N.N., SAMUS N.N., et al.
2006A&A...446..785M viz 6378 171 A catalogue of eclipsing variables. MALKOV O.Y., OBLAK E., SNEGIREVA E.A., et al.
2013AN....334..860A viz 15       D               1 7255 65 Eclipsing variables: Catalogue and classification. AVVAKUMOVA E.A., MALKOV O.Yu. and KNIAZEV A.Yu.
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.
2022ApJS..259...50S viz 17       D               1 1632 9 New Pulsating Stars Detected in EA-type Eclipsing-binary Systems Based on TESS Data. SHI X.-D., QIAN S.-B. and LI L.-J.
2022ApJS..263...34C viz 17       D               2 247 8 Detection of δ Scuti Pulsators in the Eclipsing Binaries Observed by TESS. CHEN X., DING X., CHENG L., 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.
2023A&A...674A..34G viz 17       D               1 307215 85 Gaia Data Release 3 Stellar multiplicity, a teaser for the hidden treasure. GAIA COLLABORATION, ARENOU F., BABUSIAUX C., et al.
2024ApJS..270...20X 18       D               2 80 ~ The Distribution of Semidetached Binaries. I. An Efficient Pipeline. XIONG J., DING X., LI J., 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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