GOODS-MUSIC 70273 , the SIMBAD biblio

GOODS-MUSIC 70273 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST03:16:48


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Title First 3 Authors
2012ApJ...745..110O 17       D               2 20 103 Expanded search for z ∼ 10 galaxies from HUDF09, ERS, and CANDELS data: evidence for accelerated evolution at z > 8? OESCH P.A., BOUWENS R.J., ILLINGWORTH G.D., et al.
2015ApJ...805..181C viz 16       D               1 135 23 A physical approach to the identification of high-z mergers: morphological classification in the stellar mass domain. CIBINEL A., FLOC'H E.L., PERRET V., et al.
2017ApJS..228....2L viz 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.
2018MNRAS.475.5133R viz 16       D               1 11242 2 Testing the hierarchical assembly of massive galaxies using accurate merger rates out to z ∼ 1.5. RODRIGUES M., PUECH M., FLORES H., et al.
2018ApJS..237...12O viz 16       D               1 25243 42 HDUV: the Hubble Deep UV Legacy Survey. OESCH P.A., MONTES M., REDDY N., et al.
2019ApJ...877....5L viz 16       D               1 439 2 Piercing through highly obscured and Compton-thick AGNs in the Chandra Deep Fields. I. X-ray spectral and long-term variability analyses. LI J., XUE Y., SUN M., et al.
2019ApJ...878...83W 16       D               1 79 3 Evolution of the gas mass fraction of progenitors to today's massive galaxies: ALMA observations in the CANDELS GOODS-S field. WIKLIND T., FERGUSON H.C., GUO Y., et al.
2019ApJ...887...23B viz 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 viz 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.
2020ApJ...901..168A 16       D               1 59 11 Completing the census of AGN in GOODS-S/HUDF: new ultradeep radio imaging and predictions for JWST. ALBERTS S., RUJOPAKARN W., RIEKE G.H., 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.

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