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| [LBX2017] 163 , the SIMBAD biblio (9 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST15:39:02 |
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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 |
|---|---|---|---|---|---|---|---|---|---|
2011ApJS..195...10X 
|
15 | D | 1 | 782 | 508 | The Chandra Deep Field-South survey: 4 Ms source catalogs. | XUE Y.Q., LUO B., BRANDT W.N., et al. | ||
|
2016MNRAS.457..629C
|
16 | D | 1 | 650 | 33 | ZFOURGE catalogue of AGN candidates: an enhancement of 160-µm-derived star formation rates in active galaxies to z = 3.2. | COWLEY M.J., SPITLER L.R., TRAN K.-V.H., et al. | ||
|
2016ApJ...830...51S
|
16 | D | 1 | 67525 | 168 | The FourStar galaxy evolution survey (ZFOURGE): ultraviolet to far-infrared catalogs, medium-bandwidth photometric redshifts with improved accuracy, stellar masses, and confirmation of quiescent galaxies to z ∼ 3.5. | STRAATMAN C.M.S., SPITLER L.R., QUADRI R.F., et al. | ||
|
2017ApJS..228....2L
|
16 | D | 1 | 1061 | 334 | The Chandra Deep Field-South survey: 7 Ms source catalogs. | LUO B., BRANDT W.N., XUE Y.Q., et al. | ||
|
2017ApJ...840...78D
|
16 | D | 2 | 925 | 95 | An ALMA survey of submillimeter galaxies in the Extended Chandra Deep Field South: spectroscopic redshifts. | DANIELSON A.L.R., SWINBANK A.M., SMAIL I., et al. | ||
|
2019ApJ...887...23B
|
16 | D | 1 | 942 | ~ | A submillimeter perspective on the GOODS fields (SUPER GOODS). IV. The submillimeter properties of X-ray sources in the CDF-S. | BARGER A.J., COWIE L.L., BAUER F.E., et al. | ||
|
2020MNRAS.492.1887G
|
16 | D | 1 | 792 | ~ | Physical properties of the CDFS X-ray sources through fitting spectral energy distributions. | GUO X., GU Q., DING N., et al. | ||
| 2025ApJ...980...13T | 19 | D | 1 | 82 | ~ | Rare Occasions: Tidal Disruption Events Rarely Power the AGNs Observed in Dwarf Galaxies. | TAN J., YANG G., WALSH J.L., et al. | ||
| 2025ApJ...987...46Z | 19 | D | 1 | 466 | ~ | Identifying Compton-thick Active Galactic Nuclei with a Machine Learning Algorithm in Chandra Deep Field-South. | ZHANG R., GUO X., GU Q., et al. |
