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| ClG J1055-0504 , the SIMBAD biblio (11 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST03:03:45 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
| 2003ApJ...597..218W | 26 | 51 | Weak-lensing discovery and tomography of a cluster at z = 0.68. | WITTMAN D., MARGONINER V.E., TYSON J.A., et al. | |||||
| 2006ApJ...643..128W | 1 | 26 | 127 | First results on shear-selected clusters from the Deep Lens Survey: optical imaging, spectroscopy, and X-ray follow-up. | WITTMAN D., DELL'ANTONIO I.P., HUGHES J.P., et al. | ||||
| 2007RMxAC..29..170J | 1 | 0 | A catalogue of high redshift clusters. | JUNCOSA R. and GUTIERREZ C.M. | |||||
| 2008ApJ...675..115K | 4 | 6 | Study of errors in strong gravitational lensing. | KLING T.P. and FRITTELLI S. | |||||
| 2009ApJ...702..603A | 15 | D | 1 | 26 | 24 | Shear-selected clusters from the deep lens survey. III. Masses from weak lensing. | ABATE A., WITTMAN D., MARGONINER V.E., et al. | ||
2012MNRAS.423.3561C 
|
15 | D | 1 | 424 | 44 | The cosmological analysis of X-ray cluster surveys – II. Application of the CR–HR method to the XMM archive. | CLERC N., SADIBEKOVA T., PIERRE M., et al. | ||
|
2015MNRAS.450.3665S
|
16 | D | 1 | 430 | 35 | CoMaLit - III. Literature catalogues of weak lensing clusters of galaxies (LC2). | SERENO M. | ||
| 2017ApJ...839..124D | 16 | D | 4 | 26 | ~ | X-ray temperatures, luminosities, and masses from XMM-Newton follow-up of the first shear-selected galaxy cluster sample. | DESHPANDE A.J., HUGHES J.P. and WITTMAN D. | ||
|
2021A&A...652A..12K
|
17 | D | 1 | 1564 | 14 | The X-CLASS survey: A catalogue of 1646 X-ray-selected galaxy clusters up to z ∼ 1.5. | KOULOURIDIS E., CLERC N., SADIBEKOVA T., et al. | ||
|
2022MNRAS.513.3013Y
|
17 | D | 2 | 1644 | 7 | Dynamical state of galaxy clusters evaluated from X-ray images. | YUAN Z.S., HAN J.L. and WEN Z.L. | ||
| 2023MNRAS.524.5368K | 44 | X | 1 | 3 | ~ | Optimizing machine learning methods to discover strong gravitational lenses in the deep lens survey. | KEERTHI VASAN G.C., SHENG S., JONES T., et al. |
