2015
DOI: 10.1088/0004-637x/811/1/26
|View full text |Cite
|
Sign up to set email alerts
|

The Biases of Optical Line-Ratio Selection for Active Galactic Nuclei and the Intrinsic Relationship Between Black Hole Accretion and Galaxy Star Formation

Abstract: We use 317,000 emission-line galaxies from the Sloan Digital Sky Survey to investigate line-ratio selection of active galactic nuclei (AGNs). In particular, we demonstrate that "star formation dilution" by Hii regions causes a significant bias against AGN selection in low-mass, blue, star-forming, diskdominated galaxies. This bias is responsible for the observed preference of AGNs among high-mass, green, moderately star-forming, bulge-dominated hosts. We account for the bias and simulate the intrinsic populati… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

11
149
0

Year Published

2015
2015
2024
2024

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 153 publications
(160 citation statements)
references
References 146 publications
(222 reference statements)
11
149
0
Order By: Relevance
“…The best-fit intercept (−3.89) is »0.4 dex lower than that expected from the H14 model (i.e., −3.48; shown as the dotted lines in Figure 4); possible reasons are explained in Sections 3.3 and 3.5.1. Our intercept is also similar to the value (»-3.6) derived from Trump et al (2015), which is based on optically selected AGNs in the local universe ( < z 0.1). 26 In general, X-ray emission from XRBs (the dashed lines) is lower compared to that from AGNs, and it is less significant at high SFR.…”
Section: Bhar Dependence On Sfrsupporting
confidence: 86%
See 2 more Smart Citations
“…The best-fit intercept (−3.89) is »0.4 dex lower than that expected from the H14 model (i.e., −3.48; shown as the dotted lines in Figure 4); possible reasons are explained in Sections 3.3 and 3.5.1. Our intercept is also similar to the value (»-3.6) derived from Trump et al (2015), which is based on optically selected AGNs in the local universe ( < z 0.1). 26 In general, X-ray emission from XRBs (the dashed lines) is lower compared to that from AGNs, and it is less significant at high SFR.…”
Section: Bhar Dependence On Sfrsupporting
confidence: 86%
“…, especially in the low-z range (see the rightmost M * bins in the left panels of Figure 5); the dependence of á ñ BHAR on SFR in the high-M * regime is also suggested by some previous studies (e.g., Delvecchio et al 2015;Rodighiero et al 2015;Trump et al 2015). Rosario et al (2013) suggest that among massive galaxies with *  M 10 10.5 ☉ M , X-ray AGNs are more prevalent in high-SFR systems (see also, e.g., Azadi et al 2015).…”
Section: Bhar Dependence On Both Sfr and M *supporting
confidence: 81%
See 1 more Smart Citation
“…Thus, our measurements of p(λsBHAR) may not reflect the underlying distribution of Eddington ratios; in fact, our measurements track the convolution of the probability distribution of Eddington ratios and the distribution of black hole masses at a given galaxy stellar mass. Our measurements are also degenerate with the overall black hole occupation fraction: the low AGN duty cycle that we find could indicate that a large fraction of galaxies in this mass regime simply lack central massive black holes and thus would never be observed as an AGN (see also Trump et al 2015). It is not possible with the current data to break such degeneracies, although our measurements do provide a lower limit on the occupation fraction and show that actively accreting massive black holes can exist in such lowmass galaxies.…”
Section: Agn Activity In Dwarf Galaxiesmentioning
confidence: 80%
“…Most of these galaxies do not show signatures of AGNs in their optical emission line ratios, suggesting heavy obscuration or dilution of emission line ratios by vigorous star formation, both of which are well-known limitations to optical spectroscopic surveys in finding low luminosity AGNs (e.g., Goulding & Alexander 2009;Hopkins et al 2009;Trump et al 2015).…”
Section: Introductionmentioning
confidence: 99%