HRG14 J033232.03-274537.1 , the SIMBAD biblio

HRG14 J033232.03-274537.1 , the SIMBAD biblio (19 results) C.D.S. - SIMBAD4 rel 1.8 - 2026.10.19CEST00:45:52

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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
2010ApJ...713..115G 22       D               1 15 237 The stellar mass density and specific star formation rate of the universe at z ∼ 7. GONZALEZ V., LABBE I., BOUWENS R.J., et al.
2010ApJ...725.1587B 15       D               1 35 66 z ∼ 7 galaxy candidates from NICMOS observations over the HDF-South and the CDF-South and HDF-North GOODS fields. BOUWENS R.J., ILLINGWORTH G.D., GONZALEZ V., et al.
2012ApJ...759..135O 17       D               1 30 120 The bright end of the ultraviolet luminosity function at z ∼ 8: new constraints from CANDELS data in GOODS-south. OESCH P.A., BOUWENS R.J., ILLINGWORTH G.D., et al.
2012ApJ...761..177Y 39           X         1 19 42 Luminous and high stellar mass candidate galaxies at z ~ 8 discovered in the cosmic assembly near-infrared deep extragalactic legacy survey. YAN H., FINKELSTEIN S.L., HUANG K.-H., et al.
2013MNRAS.429..150L 15       D               1 36 30 Constraining the bright-end of the UV luminosity function for z ∼ 7-9 galaxies: results from CANDELS/GOODS-south. LORENZONI S., BUNKER A.J., WILKINS S.M., et al.
2013MNRAS.432.2696M viz 15       D               1 209 345 A new multifield determination of the galaxy luminosity function at z = 7-9 incorporating the 2012 Hubble ultra-deep field imaging. McLURE R.J., DUNLOP J.S., BOWLER R.A.A., et al.
2016ApJ...826..113S 17       D               1 14 28 Keck/MOSFIRE spectroscopy of z = 7-8 galaxies: Lyα emission from a galaxy at z = 7.66. SONG M., FINKELSTEIN S.L., LIVERMORE R.C., et al.
2017MNRAS.464..469S 28       D               1 11 281 Lyα and C III] emission in z = 7-9 Galaxies: accelerated reionization around luminous star-forming systems? STARK D.P., ELLIS R.S., CHARLOT S., et al.
2019A&A...626A..85O 22 ~ Starburst and post-starburst high-redshift protogalaxies. The feedback impact of high energy cosmic rays. OWEN E.R., WU K., JIN X., et al.
2021A&A...646A..26B 2993 T   A   O X C F     69 16 ~ A puzzling non-detection of [O III] and [C II] from a z ≃ 7.7 galaxy observed with ALMA. BINGGELI C., INOUE A.K., HASHIMOTO T., et al.
2021MNRAS.504..723Y 59       D     X         2 10 ~ The prospects for observing [O III] 52 micron emission from galaxies during the Epoch of Reionization. YANG S., LIDZ A. and POPPING G.
2023ApJS..269...16R viz 17       D               1 2653 ~ JADES Initial Data Release for the Hubble Ultra Deep Field: Revealing the Faint Infrared Sky with Deep JWST NIRCam Imaging. RIEKE M.J., ROBERTSON B., TACCHELLA S., et al.
2024A&A...682A..40W 18       D               2 18 ~ Inside the bubble: exploring the environments of reionisation-era Lyman-α emitting galaxies with JADES and FRESCO. WITSTOK J., SMIT R., SAXENA A., et al.
2024A&A...683A.238J viz 63       D     X         2 95 ~ JADES: The emergence and evolution of Lyα emission and constraints on the intergalactic medium neutral fraction. JONES G.C., BUNKER A.J., SAXENA A., et al.
2024A&A...684A..84S 18       D               1 36 ~ JADES: The production and escape of ionizing photons from faint Lyman-alpha emitters in the epoch of reionization. SAXENA A., BUNKER A.J., JONES G.C., et al.
2024NatAs...8..384W 493           X C F     9 10 ~ Deciphering Lyman-α emission deep into the epoch of reionization. WITTEN C., LAPORTE N., MARTIN-ALVAREZ S., et al.
2024ApJ...973..111J 63       D     X         2 48 ~ Multivariate Predictors of Lyman Continuum Escape. II. Predicting Lyman Continuum Escape Fractions for High-redshift Galaxies. JASKOT A.E., SILVEYRA A.C., PLANTINGA A., et al.
2025MNRAS.536.2355J 47           X         1 13 ~ JADES: measuring reionization properties using Lyman-alpha emission. JONES G.C., BUNKER A.J., SAXENA A., et al.
2025ApJ...983...91P 560       S   X C       10 4 ~ Constraining Reionization with Lyα Damping-wing Absorption in Galaxy Spectra: A Machine Learning Model Based on Reionization Simulations. PARK H., JUNG I., YAJIMA H., et al.

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