4.7 Article

Extreme gas kinematics in the z=2.2 powerful radio galaxy MRC 1138-262:: Evidence for efficient active galactic nucleus feedback in the early universe?

期刊

ASTROPHYSICAL JOURNAL
卷 650, 期 2, 页码 693-705

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IOP PUBLISHING LTD
DOI: 10.1086/507266

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cosmology : observations; galaxies : evolution; galaxies : kinematics and dynamics; infrared : galaxies

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To explain the properties of the most massive low-redshift galaxies and the shape of their mass function, recent models of galaxy evolution include strong AGN feedback to complement starburst-driven feedback in massive galaxies. Using the near-infrared integral-field spectrograph SPIFFI on the VLT, we searched for direct evidence for such feedback in the optical emission line gas around the z = 16 powerful radio galaxy MRC 1138 - 262, likely a massive galaxy in formation. The kiloparsec-scale kinematics, with FWHMs and relative velocities less than or similar to 2400 km s(-1) and nearly spherical spatial distribution, do not resemble large-scale gravitational motion or starburst-driven winds. Order-of-magnitude timescale and energy arguments favor the AGN as the only plausible candidate to accelerate the gas, with a total energy injection of a few; 1060 ergs or more, necessary to power the outflow, and relatively efficient coupling between radio jet and ISM. Observed outflow properties are in gross agreement with the models and suggest that AGN winds might have a cosmological significance that is similar to, or perhaps larger than, starburst-driven winds if MRC 1138-262 is indeed archetypal. Moreover, the outflow has the potential to remove significant gas fractions (less than or similar to 50%) from a > L* galaxy within a few tens to 100 Myr, fast enough to preserve the observed [alpha/Fe] overabundance in massive galaxies at low redshift. Using simple arguments, it appears that feedback like that observed in MRC 1138-262 may have sufficient energy to inhibit material from infalling into the dark matter halo and thus regulate galaxy growth as required in some recent models of hierarchical structure formation.

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