CANDELS UDS F160W J033228.51-274658.1 , the SIMBAD biblio

CANDELS UDS F160W J033228.51-274658.1 , the SIMBAD biblio (40 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST03:24:35


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Title First 3 Authors
2008ApJS..179..114M viz 15       D               1 523 107 The VLA 1.4 GHz survey of the Extended Chandra Deep Field-South: first data release. MILLER N.A., FOMALONT E.B., KELLERMANN K.I., et al.
2011A&A...533A.119E viz 15       D               1 3965 926 GOODS-Herschel: an infrared main sequence for star-forming galaxies. ELBAZ D., DICKINSON M., HWANG H.S., et al.
2012ApJS..203...15B viz 15       D               1 894 38 The sub-mJy radio population of the E-CDFS: optical and infrared counterpart identification. BONZINI M., MAINIERI V., PADOVANI P., et al.
2013A&A...549A..63K viz 15       D               1 245 70 GMASS ultradeep spectroscopy of galaxies at z ∼ 2. VII. Sample selection and spectroscopy. KURK J., CIMATTI A., DADDI E., et al.
2013ApJS..205...13M viz 15       D               1 894 109 The Very Large Array 1.4 GHz survey of the Extended Chandra Deep Field South: second data release. MILLER N.A., BONZINI M., FOMALONT E.B., et al.
2013MNRAS.436.3759B viz 15       D               1 885 125 The sub-mJy radio sky in the Extended Chandra Deep Field-South: source population. BONZINI M., PADOVANI P., MAINIERI V., et al.
2014ApJ...791...52B 16       D               1 47 144 CANDELS+3D-HST: compact SFGs at z ∼ 2-3, the progenitors of the first quiescent galaxies. BARRO G., FABER S.M., PEREZ-GONZALEZ P.G., et al.
2014ApJS..214...24S viz 15       D               1 97940 733 3D-HST WFC3-selected photometric catalogs in the five CANDELS/3D-HST fields: photometry, photometric redshifts, and stellar masses. SKELTON R.E., WHITAKER K.E., MOMCHEVA I.G., et al.
2015MNRAS.453.1079B viz 16       D               1 781 30 Star formation properties of sub-mJy radio sources. BONZINI M., MAINIERI V., PADOVANI P., et al.
2016ApJ...827L..32B 88               F     1 6 118 Sub-kiloparsec ALMA imaging of compact star-forming galaxies at z ∼ 2.5: revealing the formation of dense galactic cores in the progenitors of compact quiescent galaxies. BARRO G., KRIEK M., PEREZ-GONZALEZ P.G., et al.
2016ApJS..225...27M viz 16       D               1 19341 548 The 3D-HST survey: Hubble Space Telescope WFC3/G141 grism spectra, redshifts, and emission line measurements for ∼ 100,000 galaxies. MOMCHEVA I.G., BRAMMER G.B., VAN DOKKUM P.G., et al.
2016ApJ...830...51S viz 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 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.
2017ApJ...840...78D viz 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.
2017Msngr.167...31M viz 16       D               1 879 3 VANDELS: Exploring the physics of high-redshift galaxy evolution. McLURE R., PENTERICCI L. (The VANDELS Team)
2018ApJ...853...24U 16       D               1 30 14 ALMA 26 arcmin2 survey of GOODS-S at one-millimeter (ASAGAO): X-ray AGN properties of millimeter-selected galaxies. UEDA Y., HATSUKADE B., KOHNO K., 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.
2018ApJ...861....7F 16       D               2 53 41 ALMA 26 arcmin2 survey of GOODS-S at one millimeter (ASAGAO): average morphology of high-z dusty star-forming galaxies in an exponential disk (n ≃ 1). FUJIMOTO S., OUCHI M., KOHNO K., 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.
2018A&A...616A.110E 687           X C       16 24 125 Starbursts in and out of the star-formation main sequence. ELBAZ D., LEITON R., NAGAR N., et al.
2018ApJ...865..106C viz 16       D               1 93 54 A submillimeter perspective on the GOODS fields (SUPER GOODS). III. A large sample of ALMA sources in the GOODS-S. COWIE L.L., GONZALEZ-LOPEZ J., BARGER A.J., et al.
2018A&A...620A..82C viz 217       D     X C       5 45 40 SUPER. I. Toward an unbiased study of ionized outflows in z ∼ 2 active galactic nuclei: survey overview and sample characterization. CIRCOSTA C., MAINIERI V., PADOVANI P., et al.
2018A&A...620A.152F 20       D               3 31 153 GOODS-ALMA: 1.1 mm galaxy survey. I. Source catalog and optically dark galaxies. FRANCO M., ELBAZ D., BETHERMIN M., et al.
2019ApJ...875...80G viz 16       D               1 153 ~ Nature of faint radio sources in GOODS-North and GOODS-South fields. I. Spectral index and Radio-FIR correlation. GIM H.B., YUN M.S., OWEN F.N., et al.
2019MNRAS.486.2643M 16       D               1 16 1 Studying the physical properties of tidal features - I. Extracting morphological substructure in CANDELS observations and VELA simulations. MANTHA K.B., McINTOSH D.H., CIASCHI C.P., et al.
2019ApJ...886L..28M 81             C       1 5 ~ Anomalously narrow line widths of Compact massive star-forming galaxies at z ∼ 2.3: a possible inclination bias in the size-mass plane. MOWLA L.A., NELSON E.J., VAN DOKKUM P., et al.
2019ApJ...886..124W viz 16       D               1 781 76 The KMOS3D survey: data release and final survey paper. WISNIOSKI E., FORSTER SCHREIBER N.M., FOSSATI M., 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.
2019A&A...632A..79B 408           X         10 21 52 Cold dust and stellar emissions in dust-rich galaxies observed with ALMA: a challenge for SED-fitting techniques. BUAT V., CIESLA L., BOQUIEN M., 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               3 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.
2020A&A...643A..30F 17       D               2 38 38 GOODS-ALMA: The slow downfall of star formation in z = 2-3 massive galaxies. FRANCO M., ELBAZ D., ZHOU L., et al.
2020PASJ...72...69Y 16       D               5 31 ~ ALMA twenty-six arcmin2 survey of GOODS-S at one millimeter (ASAGAO): Millimeter properties of stellar mass selected galaxies. YAMAGUCHI Y., KOHNO K., HATSUKADE B., et al.
2021A&A...647A.150G viz 17       D               1 2166 44 The VANDELS ESO public spectroscopic survey. Final data release of 2087 spectra and spectroscopic measurements. GARILLI B., McLURE R., PENTERICCI L., et al.
2021MNRAS.503.5329H 17       D               1 46 5 Integral field spectroscopy of luminous infrared main-sequence galaxies at cosmic noon. HOGAN L., RIGOPOULOU D., MAGDIS G.E., et al.
2022A&A...658A..43G 17       D               1 54 37 GOODS-ALMA 2.0: Source catalog, number counts, and prevailing compact sizes in 1.1 mm galaxies. GOMEZ-GUIJARRO C., ELBAZ D., XIAO M., et al.
2023ApJ...952...28C 17       D               1 77 1 2 mm Observations and the Search for High-redshift Dusty Star-forming Galaxies. COWIE L.L., BARGER A.J. and BAUER F.E.
2024A&A...690A.141T 152       D     X         4 15 ~ SUPER VIII. Fast and furious at z ∼ 2: Obscured type-2 active nuclei host faster ionised winds than type-1 systems. TOZZI G., CRESCI G., PERNA M., et al.
2024A&A...691A.178B viz 18       D               1 56 ~ KASHz+SUPER: Evidence of cold molecular gas depletion in AGN hosts at cosmic noon. BERTOLA E., CIRCOSTA C., GINOLFI M., 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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