The Compton-thick AGN population and the NH distribution of low-mass AGN in our cosmic backyard
The Compton-thick AGN population and the NH distribution of low-mass AGN in our cosmic backyard
We present a census of the Compton-thick (CT) active galactic nucleus (AGN) population and the column density (NH)
distribution of AGN in our cosmic backyard using a mid-infrared selected AGN sample within 15 Mpc. The column densities
are measured from broad-band X-ray spectral analysis, mainly using data from Chandra and NuSTAR. Our sample probes AGN
with intrinsic 2–10 keV luminosities of L2−10,int = 1037-1043 erg s−1, reaching a parameter space inaccessible to more distant
samples. We directly measure a 32 +30−18 per cent CT AGN fraction and obtain an NH distribution that agrees with that inferred by the Swift-BAT survey. Restricting the sample to the largely unexplored domain of low-luminosity AGN with L2−10,int ≤ 1042 erg s−1, we found a CT fraction of 19+30−14 per cent, consistent with those observed at higher luminosities. Comparing the host-galaxy properties between the two samples, we find consistent star formation rates, though the majority of our galaxy have lower stellar masses (by ≈ 0.3 dex). In contrast, the two samples have very different black hole mass (MBH) distributions, with our sample having ≈1.5 dex lower mean mass (MBH ∼ 106 M®). Additionally, our sample contains a significantly higher number of LINERs and HII-type nuclei. The Eddington ratio range probed by our sample, however, is the same as Swift-BAT, although the latter dominates at higher accretion rates, and our sample is more evenly distributed. The majority of our sample with λEdd ≥ 10−3 tend to be CT, while those with λEdd < 10−3 are mostly unobscured or mildly obscured.
astro-ph.GA, astro-ph.HE, galaxies: active, techniques: spectroscopic, X-rays: galaxies, galaxies: nuclei
3827-3849
Annuar, A.
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Alexander, D.M.
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Gandhi, P.
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Lansbury, G.B.
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Rosli, M.N.
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Stern, D.
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Asmus, D.
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Ballantyne, D.R.
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Baloković, M.
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Bauer, F.E.
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Boorman, P.G.
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Brandt, W.N.
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Brightman, M.
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Chen, C.T.J.
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Moro, A. Del
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Farrah, D.
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Harrison, F.A.
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Koss, M.J.
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Lanz, L.
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Marchesi, S.
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Mohanadas, P.
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Nardini, E.
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Ricci, C.
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Zappacosta, L.
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25 June 2025
Annuar, A.
fcfdf59b-482d-4803-a47a-191363766ad4
Alexander, D.M.
a0a7e768-8bc4-4947-8a48-d72f1f185597
Gandhi, P.
5bc3b5af-42b0-4dd8-8f1f-f74048d4d4a9
Lansbury, G.B.
10f7c7e0-27f9-4ea7-9b59-df92b191faed
Rosli, M.N.
70c34776-32c9-40fc-b4ef-91b22ed4028d
Stern, D.
84242e0f-41ca-407d-a69d-ac9531a23897
Asmus, D.
fc4ebd0b-dfb2-4777-b2e9-7381c6b51c67
Ballantyne, D.R.
e034d251-0b2f-40b0-8b9c-3f8eb655b836
Baloković, M.
b21feecb-a338-41bd-9b96-100116abf44a
Bauer, F.E.
7aace96d-7b8b-4589-9ff8-03c720a85469
Boorman, P.G.
e5240793-37c1-4b7b-9840-3b996cef8dd3
Brandt, W.N.
4ef44645-85dc-4225-86c6-4680a8ed839f
Brightman, M.
d4c4b8b2-327a-495e-94c2-ff56adf34b5f
Chen, C.T.J.
e418b9d2-1865-43b9-809e-b3345c2d800b
Moro, A. Del
237ccfa7-e599-4b52-90e3-9d669565ea9c
Farrah, D.
4ea056ff-3df4-4a81-8b08-e03e7174409f
Harrison, F.A.
e6a0d64c-9477-454d-b6ca-2a098779a53e
Koss, M.J.
a97ad3e2-ba81-4272-9774-a71efa053b09
Lanz, L.
8560c8af-8d09-4fa3-a496-5ac244eddd62
Marchesi, S.
8c89e3b7-0f2b-425d-8242-316e2ffb1e59
Mohanadas, P.
d0136351-6573-4448-ac0e-440899f48775
Nardini, E.
5a8fd6eb-724e-4f34-b0d3-cbe02b72d851
Ricci, C.
e4224106-0272-49b7-92f8-90951b539165
Zappacosta, L.
f0860387-cda8-4038-bd48-a23df75517da