COLDz .GN.S1 , the SIMBAD biblio

COLDz .GN.S1 , the SIMBAD biblio (11 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.15CEST05:47:05


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Title First 3 Authors
2011PASJ...63S.379K viz 15       D               1 10045 46 MOIRCS Deep Survey. IX. Deep near-infrared imaging data and source catalog. KAJISAWA M., ICHIKAWA T., TANAKA 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.
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.
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.
2017ApJ...837..139C viz 16       D               1 130 52 A SUbmillimeter PERspective on the GOODS fields (SUPER GOODS). I. An ultradeep SCUBA-2 survey of the GOODS-N. COWIE L.L., BARGER A.J., HSU L.-Y., et al.
2018ApJ...853..172L viz 16       D               1 1255 99 "Super-deblended" dust emission in galaxies. I. The GOODS-North catalog and the cosmic star formation rate density out to redshift 6. LIU D., DADDI E., DICKINSON M., et al.
2018ApJS..235...34O viz 16       D               1 799 10 Deep JVLA imaging of GOODS-N at 20 cm. OWEN F.N.
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.
2018ApJ...864...49P 401           X         10 85 71 The CO Luminosity Density at High-z (COLDz) survey: a sensitive, large-area blind search for low-J CO emission from cold gas in the early universe with the Karl G. Jansky Very Large Array. PAVESI R., SHARON C.E., RIECHERS D.A., et al.
2021MNRAS.501..137H 84               F     1 20 ~ The MOSDEF survey: differences in SFR and metallicity for morphologically selected mergers at z ∼ 2. HORSTMAN K., SHAPLEY A.E., SANDERS R.L., et al.
2023MNRAS.518.4214F 87             C       1 45 1 The MOSDEF survey: probing resolved stellar populations at z ∼ 2 Using a new bayesian-defined morphology metric called patchiness. FETHEROLF T., REDDY N.A., SHAPLEY A.E., et al.

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