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Deep ALMA photometry of distant X-ray AGN: improvements in star formation rate constraints, and AGN identification.
- Source :
-
Monthly Notices of the Royal Astronomical Society . Aug2018, Vol. 478 Issue 3, p3721-3739. 19p. - Publication Year :
- 2018
-
Abstract
- We present the star formation rates (SFRs) of a sample of 109 galaxies with X-ray-selected active galactic nuclei (AGNs) with moderate to high X-ray luminosities ($$\mathrel {L_{\rm 2-8\,keV}}\,=\, 10^{42}-10^{45} \mathrel {\rm erg \, s^{-1}}$$), at redshifts 1 <  z  < 4.7, that were selected to be faint or undetected in the Herschel bands. We combine our deep Atacama large (sub-)millimetre array (ALMA) continuum observations with deblended 8–500 $$\mathrel {\rm \,\mu m}$$ photometry from Spitzer and Herschel , and use infrared (IR) spectral energy distribution (SED) fitting and AGN – star formation decomposition methods. The addition of the ALMA photometry results in an order of magnitude more X-ray AGN in our sample with a measured SFR (now 37 %). The remaining 63 % of the sources have SFR upper limits that are typically a factor of 2–10 times lower than the pre-ALMA constraints. With the improved constraints on the IR SEDs, we can now identify a mid-IR (MIR) AGN component in 50 % of our sample, compared to only ∼1 % previously. We further explore the $$F_{870\mathrel {\rm \,\mu m}}$$ / $$F_{24\mathrel {\rm \,\mu m}}$$ –redshift plane as a tool for the identification of MIR-emitting AGN, for three different samples representing AGN-dominated, star formation-dominated, and composite sources. We demonstrate that the $$F_{870\mathrel {\rm \,\mu m}}$$ / $$F_{24\mathrel {\rm \,\mu m}}$$ –redshift plane can successfully split between AGN and star formation-dominated sources, and can be used as an AGN identification method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00358711
- Volume :
- 478
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Monthly Notices of the Royal Astronomical Society
- Publication Type :
- Academic Journal
- Accession number :
- 131008977
- Full Text :
- https://doi.org/10.1093/mnras/sty1044