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| EIS-DEEP CDFS-4 J 1 1465 , the SIMBAD biblio (30 results) | C.D.S. - SIMBAD4 rel 1.8 - 2026.10.18CEST12:03:16 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|
|
2004A&A...428.1043L |
15 | D | 1601 | 300 | The VIMOS VLT Deep Survey. Public release of 1599 redshifts to IAB≤24 across the Chandra Deep Field South. | LE FEVRE O., VETTOLANI G., PALTANI S., et al. | |||
|
2004ApJ...600L..93G |
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. | ||
|
2006A&A...449..951G |
1278 | 302 | The GOODS-MUSIC sample: a multicolour catalog of near-IR selected galaxies in the GOODS-South field. | GRAZIAN A., FONTANA A., DE SANTIS C., et al. | |||||
|
2006A&A...452..119O |
3542 | 8 | ESO imaging survey: infrared observations of CDF-S and HDF-S. | OLSEN L.F., MIRALLES J.-M., DA COSTA L., et al. | |||||
|
2006ApJ...640..167A |
15 | D | 98 | 225 | Infrared power-law galaxies in the Chandra Deep Field-South: active galactic nuclei and ultraluminous infrared galaxies. | ALONSO-HERRERO A., PEREZ-GONZALEZ P.G., ALEXANDER D.M., et al. | |||
| 2007ApJ...665..225K | 115 | 15 | Optical variability of infrared Power-Law-Selected galaxies and X-ray sources in the GOODS-South field. | KLESMAN A. and SARAJEDINI V. | |||||
|
2008ApJS..179..114M |
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. | ||
|
2010A&A...512A..12B |
15 | D | 1 | 4352 | 228 | The Great Observatories Origins Deep Survey. VLT/VIMOS spectroscopy in the GOODS-South field: part II. | BALESTRA I., MAINIERI V., POPESSO P., et al. | ||
|
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. | ||
| 2011ApJ...738...44A | 15 | D | 1 | 51 | 59 | X-ray spectral constraints for z ~ 2 massive galaxies: the identification of reflection-dominated active galactic nuclei. | ALEXANDER D.M., BAUER F.E., BRANDT W.N., et al. | ||
|
2011A&A...533A.119E |
15 | D | 1 | 3965 | 926 | GOODS-Herschel: an infrared main sequence for star-forming galaxies. | ELBAZ D., DICKINSON M., HWANG H.S., et al. | ||
|
2012MNRAS.425.2116C |
15 | D | 1 | 7382 | 55 | The Arizona CDFS Environment Survey (ACES): A Magellan/IMACS spectroscopic survey of the Chandra Deep Field-South. | COOPER M.C., YAN R., DICKINSON M., et al. | ||
|
2012ApJS..203...15B |
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. | ||
|
2013ApJS..205...13M |
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 |
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. | ||
|
2013A&A...559A..14L |
15 | D | 1 | 37850 | 306 | The VIMOS VLT Deep Survey final data release: a spectroscopic sample of 35016 galaxies and AGN out to z ∼ 6.7 selected with 17.5 ≤ iAB≤ 24.75. | LE FEVRE O., CASSATA P., CUCCIATI O., et al. | ||
| 2014MNRAS.440.3630R | 15 | D | 2 | 74 | 9 | Evidence for two modes of black hole accretion in massive galaxies at z ∼ 2. | RANGEL C., NANDRA K., BARRO G., et al. | ||
|
2014ApJ...793..101T |
15 | D | 1 | 120 | 15 | No more active galactic nuclei in clumpy disks than in smooth galaxies at z ∼ 2 in CANDELS/3D-HST. | TRUMP J.R., BARRO G., JUNEAU S., et al. | ||
|
2014ApJS..214...24S |
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. | ||
|
2014ApJ...796...60H |
15 | D | 1 | 1489 | 120 | CANDELS/GOODS-S, CDFS, and ECDFS : photometric redshifts for normal and X-Ray-detected galaxies. | HSU L.-T., SALVATO M., NANDRA K., et al. | ||
|
2014MNRAS.443.1999B |
17 | D | 1 | 15 | 67 | Compton thick active galactic nuclei in Chandra surveys. | BRIGHTMAN M., NANDRA K., SALVATO M., et al. | ||
|
2015AJ....149..178M |
16 | D | 1 | 1020 | 31 | A WFC3 grism emission line redshift catalog in the GOODS-South field. | MORRIS A.M., KOCEVSKI D.D., TRUMP J.R., et al. | ||
|
2015MNRAS.453.1079B |
16 | D | 1 | 781 | 30 | Star formation properties of sub-mJy radio sources. | BONZINI M., MAINIERI V., PADOVANI P., et al. | ||
|
2016ApJS..225...27M |
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 |
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. | ||
|
2018A&A...611A..53J |
16 | D | 1 | 24519 | 3 | Automated reliability assessment for spectroscopic redshift measurements. | JAMAL S., LE BRUN V., LE FEVRE O., et al. | ||
|
2019A&A...624A.141U |
16 | D | 1 | 1906 | 76 | The MUSE-Wide Survey: survey description and first data release. | URRUTIA T., WISOTZKI L., KERUTT J., 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. |