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TYC 2277-250-1 , the SIMBAD biblio (10 results) | C.D.S. - SIMBAD4 rel 1.8 - 2024.03.28CET14:47:41 |
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 |
---|---|---|---|---|---|---|---|---|---|
2006MNRAS.372.1117C | 47 | 50 | The SuperWASP wide-field exoplanetary transit survey: candidates from fields 23 h < RA < 03 h. | CHRISTIAN D.J., POLLACCO D.L., SKILLEN I., et al. | |||||
2007MNRAS.375..951C | 4 | 29 | 247 | WASP-1b and WASP-2b: two new transiting exoplanets detected with SuperWASP and SOPHIE. | COLLIER CAMERON A., BOUCHY F., HEBRARD G., et al. | ||||
2007MNRAS.380.1230C | 17 | D | 2 | 73 | 296 | Efficient identification of exoplanetary transit candidates from SuperWASP light curves. | COLLIER CAMERON A., WILSON D.M., WEST R.G., et al. | ||
2015MNRAS.449.1401H | 16 | D | 1 | 3011 | 6 | A large sample of metallic-line star candidates from LAMOST Data Release 1. | HOU W., LUO A., YANG H., et al. | ||
2018AJ....156..234C | 16 | D | 1 | 1130 | 48 | The KELT follow-up network and transit false-positive catalog: pre-vetted false positives for TESS. | COLLINS K.A., COLLINS K.I., PEPPER J., et al. | ||
2018A&A...620A.172Z | 16 | D | 1 | 127607 | 99 | 3D mapping of young stars in the solar neighbourhood with Gaia DR2. | ZARI E., HASHEMI H., BROWN A.G.A., et al. | ||
2019MNRAS.488.4905S | 17 | D | 1 | 1041 | ~ | SuperWASP dispositions and false positive catalogue. | SCHANCHE N., COLLIER CAMERON A., ALMENARA J.M., et al. | ||
2022ApJS..258...16P | 18 | D | 1 | 4579 | 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 | 18 | 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..259...63S | 18 | D | 2 | 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. |