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http://hdl.handle.net/20.500.12386/31030
Title: | Constraints on Dynamical Dark Energy Models from the Abundance of Massive Galaxies at High Redshifts | Authors: | MENCI, Nicola GRAZIAN, Andrea CASTELLANO, MARCO SANTINI, Paola GIALLONGO, Emanuele LAMASTRA, Alessandra Fortuni, F FONTANA, Adriano MERLIN, Emiliano WANG, YU Elbaz, D Sanchez, NG |
Issue Date: | 2020 | Journal: | THE ASTROPHYSICAL JOURNAL | Number: | 900 | Issue: | 2 | First Page: | 108 | Abstract: | We compare the maximal abundance of massive systems predicted in different dynamical dark energy (DDE) models at high redshifts z ≈ 4-7 with the measured abundance of the most massive galaxies observed to be already in place at such redshifts. The aim is to derive constraints for the evolution of the dark energy equation-of-state parameter w that are complementary to existing probes. We adopt the standard parameterization for the DDE evolution in terms of the local value w 0 and of the lookback time derivative of the equation of state w a. We derive constraints on combinations of (w 0, w a) in the different DDE models by using three independent probes: (i) the observed stellar mass function of massive objects at z ≥ 6 derived from the CANDELS survey; (ii) the estimated volume density of massive halos derived from the observation of massive, star-forming galaxies detected in the submillimeter range at z ≈ 4; (iii) the rareness of the most massive system (with an estimated gas mass exceeding 3 × 1011 M o˙) observed to be in place at z ≈ 7, a far-infrared-luminous object recently detected in the South Pole Telescope survey. Finally, we show that the combination of our results from the three above probes excludes a sizable fraction of the DDE parameter space w a ⪆ -3/4 - (w 0 + 3/2) presently allowed (or even favored) by existing probes. | URI: | http://hdl.handle.net/20.500.12386/31030 | URL: | https://api.elsevier.com/content/abstract/scopus_id/85092045164 | ISSN: | 0004-637X | DOI: | 10.3847/1538-4357/aba9d2 | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
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Menci_2020_ApJ_900_108.pdf | Pdf editoriale | 1.67 MB | Adobe PDF | View/Open |
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