[LBX2017] 637 , the SIMBAD biblio

[LBX2017] 637 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.17CEST16:47:08

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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
2004ApJ...600L..93G viz 15       D               1 7819 1453 The Great Observatories Origins Deep Survey: initial results from optical and near-infrared imaging. GIAVALISCO M., FERGUSON H.C., KOEKEMOER A.M., et al.
2008A&A...482...21C 13 17 459 GMASS ultradeep spectroscopy of galaxies at z ∼ 2. II. Superdense passive galaxies: how did they form and evolve? CIMATTI A., CASSATA P., POZZETTI L., et al.
2009Msngr.135...40K 75               F     1 10 4 A VLT large programme to study galaxies at z ∼ 2: GMASS - the Galaxy Mass Assembly Ultra-deep Spectroscopy Survey. KURK J., CIMATTI A., DADDI E., et al.
2009ApJ...704L..34C 170       D     X C F     3 14 158 Dynamical masses of early-type galaxies at z ∼ 2: are they truly superdense? CAPPELLARI M., DI SEREGO ALIGHIERI S., CIMATTI A., et al.
2010ApJ...718.1460F 85           X         2 6 125 Cosmic evolution of size and velocity dispersion for early-type galaxies. FAN L., LAPI A., BRESSAN A., et al.
2011ApJ...739L..44D viz 15       D               1 417 135 Red nuggets at high redshift: structural evolution of quiescent galaxies over 10 Gyr of cosmic history. DAMJANOV I., ABRAHAM R.G., GLAZEBROOK K., et al.
2011ApJ...743..146C viz 15       D               1 4132 61 Active and passive galaxies at z ∼ 2: rest-frame optical morphologies with WFC3. CAMERON E., CAROLLO C.M., OESCH P.A., 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.
2013ApJ...771...85V viz 16       D               1 75 184 Stellar kinematics of z ∼ 2 galaxies and the inside-out growth of quiescent galaxies. VAN DE SANDE J., KRIEK M., FRANX M., 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.
2015A&A...573A.110G 16       D               1 19 2 Lower mass normalization of the stellar initial mass function for dense massive early-type galaxies at z ∼ 1.4. GARGIULO A., SARACCO P., LONGHETTI M., 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.
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.
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...905..170M viz 16       D               1 4760 24 Galaxy sizes since z = 2 from the perspective of stellar mass distribution within galaxies. MOSLEH M., HOSSEINNEJAD S., HOSSEINI-SHAHISAVANDI S.Z., 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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