2015
DOI: 10.1088/0004-637x/802/2/135
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DETECTION OF QUASAR FEEDBACK FROM THE THERMAL SUNYAEV–ZEL’DOVICH EFFECT INPLANCK

Abstract: Poorly understood feedback processes associated with highly-luminous black hole accretion in quasars may dramatically affect the properties of their host galaxies. We search for the effect of quasar feedback on surrounding gas using Planck maps of the thermal Sunyaev-Zel'dovich effect (tSZ). By stacking tSZ Compton-y maps centered on the locations of 26,686 spectroscopic quasars from the Sloan Digital Sky Survey, we detect a strong but unresolved tSZ Compton-y signal at >5σ significance that likely originates … Show more

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Cited by 39 publications
(81 citation statements)
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“…However, we find a much smaller tSZ signal than both the high and low redshift results of Ruan et al (2015), although it is suspected that their values are significantly overestimated (e.g., Cen & Safarzadeh 2015b). We also find a slightly smaller tSZ signal than the simulated results of Cen & Safarzadeh (2015b), and our results favor their CS model, which associates quasars with lower mass dark matter halos.…”
Section: Discussionsupporting
confidence: 46%
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“…However, we find a much smaller tSZ signal than both the high and low redshift results of Ruan et al (2015), although it is suspected that their values are significantly overestimated (e.g., Cen & Safarzadeh 2015b). We also find a slightly smaller tSZ signal than the simulated results of Cen & Safarzadeh (2015b), and our results favor their CS model, which associates quasars with lower mass dark matter halos.…”
Section: Discussionsupporting
confidence: 46%
“…Plugging these into the theoretical AGN feedback energy equation and solving for  k , we get feedback efficiencies of -+ 1.5 1.6 1.3 % for low-z and -+ 1.3 3.1 3.5 % for high-z. These values are very uncertain, though they do hint at feedback efficiencies slightly lower than the suggested 5% (i.e., Scannapieco et al 2005;Ruan et al 2015).…”
Section: Removing Residual Contamination Using Planck Datamentioning
confidence: 90%
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