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THE SUPERMASSIVE BLACK HOLE MASS–SPHEROID STELLAR MASS RELATION FOR SÉRSIC AND CORE-SÉRSIC GALAXIES

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Published 2013 April 16 © 2013. The American Astronomical Society. All rights reserved.
, , Citation Nicholas Scott et al 2013 ApJ 768 76 DOI 10.1088/0004-637X/768/1/76

This article is corrected by 2014 ApJ 792 143

0004-637X/768/1/76

ABSTRACT

We have examined the relationship between supermassive black hole mass (MBH) and the stellar mass of the host spheroid (Msph, *) for a sample of 75 nearby galaxies. To derive the spheroid stellar masses we used improved Two Micron All Sky Survey Ks-band photometry from the archangel photometry pipeline. Dividing our sample into core-Sérsic and Sérsic galaxies, we find that they are described by very different MBHMsph, * relations. For core-Sérsic galaxies—which are typically massive and luminous, with MBH ≳ 2 × 108M—we find MBH$M_\mathrm{sph,*}^{0.97 \pm 0.14}$, consistent with other literature relations. However, for the Sérsic galaxies—with typically lower masses, Msph, * ≲ 3 × 1010M—we find $M_\mathrm{BH} \propto {M}_\mathrm{sph,*}^{2.22 \pm 0.58}$, a dramatically steeper slope that differs by more than 2 standard deviations. This relation confirms that, for Sérsic galaxies, MBH is not a constant fraction of Msph, *. Sérsic galaxies can grow via the accretion of gas which fuels both star formation and the central black hole, as well as through merging. Their black hole grows significantly more rapidly than their host spheroid, prior to growth by dry merging events that produce core-Sérsic galaxies, where the black hole and spheroid grow in lockstep. We have additionally compared our Sérsic MBHMsph, * relation with the corresponding relation for nuclear star clusters, confirming that the two classes of central massive object follow significantly different scaling relations.

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1. INTRODUCTION

Supermassive black hole masses, MBH, are well known to scale with a number of properties of their host galaxy. This was first reported by Kormendy & Richstone (1995), who found a linear correlation between supermassive black hole mass and host spheroid luminosity. Later studies found log-linear correlations between supermassive black hole mass and: stellar velocity dispersion, σ (Ferrarese & Merritt 2000; Gebhardt et al. 2000), stellar concentration (Graham et al. 2001), and dynamical mass, Mdyn∝σ2 R (Magorrian et al. 1998; Marconi & Hunt 2003; Häring & Rix 2004). These initial studies reported strong log-linear correlations.

Recent work using larger galaxy samples, with accurate measurements of their black hole masses and host galaxy properties, has indicated that these simple log-linear scaling relations are not always sufficient descriptions of the observed distribution. In particular, Graham & Driver (2007) showed that the black hole mass–Sérsic index (n) relation was not log-linear, and Graham (2012a) showed that the MBHMsph, dyn relation requires two separate log-linear relations: with a slope of ∼2 for Sérsic galaxies (whose bulge surface brightness profiles are well-represented by a single Sérsic 1968, model 3 ) and with a slope ∼1 for core-Sérsic galaxies (whose bulge surface brightness profiles deviate from a single Sérsic function by having a partially depleted core: Graham et al. 2003; Graham & Guzmán 2003; Trujillo et al. 2004; Ferrarese et al. 2006b). In addition Graham & Scott (2013, hereafter GS13) demonstrated that the MBHLsph relation is also better described by two log-linear relations, with Ks-band slopes ∼2.73  ±  0.55 and ∼1.10  ±  0.20 for the Sérsic and core-Sérsic galaxies, respectively. In contrast the MBH–σ relation is well described by a single log-linear relation with slope ∼5 (Ferrarese & Merritt 2000; Graham et al. 2011; McConnell & Ma 2013; Park et al. 2012, GS13) over this same black hole mass range, once the offset barred and pseudobulge galaxies are properly taken into account (Graham 2008a; Hu 2008; Graham & Li 2009).

These revisions to the supermassive black hole scaling relations are in fact expected, given other observed galaxy scaling relations. As observational samples have explored a broader range in galaxy luminosity, the L–σ relation has been revised from L∝σ4 (Faber & Jackson 1976) to exhibit two different slopes at high and low luminosity. The relation for luminous galaxies is given by L∝σ5 (Schechter 1980; Liu et al. 2008) but for MB > −20.5 mag L∝σ2 (Davies et al. 1983; Matković & Guzmán 2005). Cappellari et al. (2012) have recently reported a bent M–σ relation, with a break at 5 × 1010M. Given this form of the L–σ relation, and the log-linear MBH–σ relation, the MBHL relation cannot be log-linear—it must exhibit the same bend as the L–σ relation. From these correlations, the expected form of the MBHLsph relation is MBH$L_\mathrm{sph}^{1.0}$ for luminous core-Sérsic galaxies and MBH$L_\mathrm{sph}^{2.5}$ for the typically less-luminous Sérsic galaxies, consistent with the findings of GS13.

The steep MBHLsph relation for Sérsic galaxies implies that their black hole must grow much more rapidly than their host spheroid. In these intermediate-mass galaxies, the accretion of gas plays a significant role in the growth of the spheroid and in fueling the central supermassive black hole. This is seen at high redshift through the coexistence of active galactic nuclei (AGNs) with rapidly star-forming submillimeter galaxies (e.g., Blain et al. 1999; Page et al. 2001; Alexander et al. 2005; Pope et al. 2008; Page et al. 2012; Simpson et al. 2012) and ultra-luminous far-IR-detected galaxies (e.g., Norman & Scoville 1988; Alonso-Herrero et al. 2006; Daddi et al. 2007; Murphy et al. 2009), and through large spectroscopic surveys of AGN hosts (e.g., Silverman et al. 2009; Chen et al. 2013). At low redshift this is evident from the coincidence of ongoing star formation or young stellar populations and AGN activity (e.g., Kauffmann et al. 2003a; Netzer 2009; Rosario et al. 2013). These observations are all consistent with a model in which there is a strong physical link between star formation and AGN activity (Hopkins et al. 2006). In a large sample of low-redshift AGNs, LaMassa et al. (2013) find that the star formation rate is related to the black hole accretion rate by: $\dot{M} \propto {\rm SFR}^{2.78}$, indicating that gas accretion contributes much more significantly to black hole growth than to star formation.

An accurate determination of the true form of the supermassive black hole scaling relations is critical in a number of areas of extragalactic astrophysics. Supermassive black holes play a critical role in semi-analytic models of galaxy formation, through their ability to regulate star formation via AGN feedback (Silk & Rees 1998; Kauffmann & Haehnelt 2000). This feedback is vital in matching the predicted galaxy/bulge luminosity functions of such models to observations. Modern semi-analytic models use the observed local supermassive black hole scaling relations as a key constraint on the rate of black hole growth (e.g., Springel et al. 2005; Bower et al. 2006; Croton et al. 2006; Di Matteo et al. 2008; Booth & Schaye 2009; Dubois et al. 2012). Using an incorrect form of the local scaling relations can significantly alter the degree of AGN feedback in these simulations, resulting in an inaccurate determination of the efficacy of that feedback, or in incorrect rates of star formation and build-up of stellar mass.

Another important application of the local supermassive black hole scaling relations is to the study of the evolution of the black hole–host spheroid connection with redshift. The MBHLsph and MBHMsph, * relations have been determined over a range of redshifts, including at z ≲ 0.5 (Woo et al. 2006; Salviander et al. 2007; Shen et al. 2008; Canalizo et al. 2012; Hiner et al. 2012), z ∼ 1 (Peng et al. 2006; Salviander et al. 2007; Merloni et al. 2010; Bennert et al. 2011; Bluck et al. 2011; Zhang et al. 2012) and z > 2 (Borys et al. 2005; Kuhlbrodt et al. 2005; Peng et al. 2006; Shields et al. 2006). These studies typically search for changes in the high-redshift scaling relations with respect to the local scaling relations in an effort to identify evolution in the relationship between supermassive black holes and their host spheroids. From any apparent evolution, they then attempt to determine whether the onset of spheroid or black hole growth occurred first, and therefore which is the driving mechanism for the local correlations. Correctly determining the local scaling relations is therefore critical in identifying any evolution with redshift—as the local scaling relations are much more accurately known than those at high redshift much of the constraint on evolution comes from the local scaling relations. Using an incorrect local scaling relation can hide (or incorrectly identify) evolution with redshift in the black hole–host spheroid connection.

In this work we extend the investigation of the bent supermassive black hole scaling relations to include the stellar mass of the host spheroid; the MBHMsph, * relation. In Section 2 we present our sample of galaxies containing supermassive black holes and describe the derivation of their associated spheroid's stellar luminosity and mass. The luminosities used here differ slightly from those in GS13 due to our use of updated photometry, which we describe below. In Section 3 we use a linear regression to examine the bent nature of the MBHMsph, * relation. In Section 4 we discuss the implications of bent supermassive black hole scaling relations on the intrinsic scatter of supermassive black hole scaling relations, the coevolution of supermassive black holes and their host spheroids, and the alleged common origins of nuclear star clusters and supermassive black holes. We present our conclusions in Section 5.

2. SAMPLE AND DATA

We make use of the sample of 78 supermassive black hole masses and host spheroid magnitudes presented in GS13. Following GS13, we continue to exclude M32 (due to an unknown amount of stellar stripping), the Milky Way (due to its uncertain bulge magnitude due to dust extinction) and NGC 1316 (due to its uncertain core type), giving a final sample of 75 galaxies. All galaxies in the sample have directly measured supermassive black hole masses, with typical uncertainties ∼50% (for detailed references see GS13, their Section 2). GS13 provide apparent B- and Ks -band magnitude data and a prescription to determine absolute spheroid magnitudes. Although we make use of their B-band magnitudes, we use different initial Ks -band apparent total galaxy magnitudes as described below.

GS13 used Ks -band magnitudes from the Two Micron All Sky Survey (2MASS) Extended Source Catalogue (Jarrett et al. 2000); however, they noted that some errors have recently been reported for the 2MASS catalogue photometry (Schombert & Smith 2012). Given these concerns we derive new total galaxy magnitudes from the same 2MASS Ks -band images using the archangel photometry pipeline (Schombert & Smith 2012). The pipeline takes a galaxy's name as input, parsing the name through the NASA Extragalactic Database (NED) to resolve its position on the sky. The pipeline then extracts the four sky strip images surrounding the galaxy's coordinates from the 2MASS Atlas Image Server, stitching the images together to form a single raw image. The 2MASS project provides calibrated, flattened, kernel-smoothed, sky-subtracted images so these steps are not duplicated by the pipeline. An accurate sky determination is then made using user-defined sky boxes clear of obvious stellar or galaxy sources, which are then summed and averaged. The final step is the extraction of isophotal values as a function of radius using an ellipse fitting routine. Elliptical apertures are used to determine curves of growth for determination of photometric values.

Our new Ks magnitudes improve on the 2MASS Extended Source Catalogue values in three ways. First, as described in Schombert & Smith (2012), the sky background is over-subtracted by the 2MASS data reduction pipeline, resulting in an underestimation of the total galaxy magnitude. This over-subtraction truncates the surface brightness profile of luminous elliptical galaxies at large radii, causing the 2MASS pipeline to underestimate the physical size of each object. This results in the total magnitude being measured from an aperture that significantly underestimates the true physical size of an object, thus resulting in a total magnitude that is 10%–40% lower than the total magnitudes derived by archangel. Finally, our archangel derived magnitudes are determined from pipeline fits to the surface brightness profiles, extending out to radii where the uncertainty in the surface brightness of the object exceeds 1 mag arcsec−2, which is typically further than the four-half-light-radii apertures used for 2MASS total magnitudes. For low Sérsic index profiles there is little difference in the total magnitudes derived from these two apertures; however, as shown in Figure 1, for Sérsic n ≳ 3 the flux missed by the 2MASS aperture can be significant.

Figure 1.

Figure 1. The total flux found at radii greater than four effective radii for Sérsic surface brightness profiles as a function of Sérsic index n. For galaxies with n ≳ 3, the flux found at large radii is significant. Total magnitudes in the 2MASS Extended Source Catalogue miss this additional flux at large radius, however this is not the case for our archangel derived total magnitudes.

Standard image High-resolution image

In Figure 2 we show a comparison between the 2MASS catalogue magnitudes and our new archangel magnitudes for 67 galaxies. Eight galaxies of our 75 were too large on the sky to model readily with archangel. For these eight remaining galaxies we derived a correction to their 2MASS magnitudes using the following procedure. We divided the sample of 67 galaxies into three morphological types (ellipticals, lenticulars and spirals) and fit linear relations to the 2MASS versus archangel magnitudes for each subset (indicated by the lines in Figure 2). Based on these relations and the 2MASS catalog magnitude we derived corrected magnitudes for the 2/8 remaining elliptical galaxies and used the 2MASS magnitudes for the 6/8 S0 and Sa disk galaxies. The relation between the 2MASS and archangel Ks -band magnitudes for elliptical galaxies in our sample is:

Equation (1)

The two galaxies for which this procedure was used are indicated with a † in Table 1, along with the six disk galaxies for which we used 2MASS photometry. As tabulated in GS13, total apparent B-band magnitudes were drawn from the Third Reference Catalogue of Bright Galaxies (de Vaucouleurs et al. 1991).

Figure 2.

Figure 2. Comparison of galaxy total magnitudes between the 2MASS catalogue values and our own archangel magnitudes for ellipticals (red filled circles), S0s (pink open circles) and spirals (blue stars). 67/68 galaxies for which we derived archangel magnitudes are shown (NGC 2974 was excluded due to a nearby bright star affecting its 2MASS magnitude). Each panel shows the difference between the 2MASS and archangel magnitudes as a function of 2MASS magnitude. In each of the upper, middle and lower panels we show linear fits to the data for the elliptical, S0 and spiral subsets of our sample. The solid line shows the best fit, with the dashed lines indicating the 1σ uncertainty on each fit.

Standard image High-resolution image

Table 1. Properties of Our Sample of 75 Nearby Galaxies Hosting a Supermassive Black Hole

GalaxyTypeCore MBH Ks, sph BKs Msph, *
(108M)(mag)(mag)(1010M)
Abel1836BCGy?39$^{+ 4}_{- 5}$ −26.294.5769$^{+59}_{-32}$
Abel3565BCGy?11$^{+ 2}_{- 2}$ −25.844.1337$^{+32}_{-17}$
CenA†S0n?0.45$^{+ 0.17}_{- 0.10}$ −22.873.031.4$^{+2.0}_{-0.8}$
CygnusA†S?y?25$^{+ 7}_{- 7}$ −25.815.0155$^{+80}_{-33}$
IC1459E3y?24$^{+ 10}_{- 10}$ −25.504.1327$^{+23}_{-12}$
IC2560SBbn?0.044$^{+0.044}_{-0.022}$ −22.973.952.4$^{+3.5}_{-1.4}$
M31†Sbn1.4$^{+ 0.9}_{- 0.3}$ −21.693.020.46$^{+0.68}_{-0.28}$
M81†Sabn0.73$^{+?}_{-?}$ −22.562.971.0$^{+1.5}_{-0.6}$
M84E1y9.0$^{+ 0.9}_{- 0.8}$ −25.253.9019$^{+16}_{-9}$
M87†E0y58$^{+ 3.5}_{- 3.5}$ −25.433.9623$^{+ 19}_{- 10}$
NGC 253†SBcn0.10$^{+ 0.10}_{- 0.05}$ −21.424.090.61$^{+0.89}_{-0.36}$
NGC 524S0y8.3$^{+ 2.7}_{- 1.3}$ −23.823.674.6$^{+6.6}_{-2.7}$
NGC 821En0.39$^{+ 0.26}_{- 0.09}$ −24.603.9511$^{+9}_{-5}$
NGC 1023SB0n0.42$^{+ 0.04}_{- 0.04}$ −23.073.251.9$^{+2.7}_{-1.1}$
NGC 1068SBbn0.084$^{+0.003}_{-0.003}$ −23.574.124.5$^{+6.6}_{-2.7}$
NGC 1194S0n?0.66$^{+ 0.03}_{- 0.03}$ −22.803.221.4$^{+2.1}_{-0.8}$
NGC 1300SBbcn0.73$^{+ 0.69}_{- 0.35}$ −21.733.690.66$^{+0.97}_{-0.40}$
NGC 1332S0y?15$^{+ 2}_{- 2}$ −23.923.554.7$^{+6.9}_{-2.8}$
NGC 1399Ey4.7$^{+ 0.6}_{- 0.6}$ −25.324.3726$^{+22}_{-12}$
NGC 2273SBan0.083$^{+0.004}_{-0.004}$ −22.943.612.0$^{+2.9}_{-1.2}$
NGC 2549SB0n0.14$^{+ 0.02}_{- 0.13}$ −21.423.180.39$^{+0.57}_{-0.23}$
NGC 2778SB0n0.15$^{+ 0.09}_{- 0.1}$ −21.193.400.35$^{+0.52}_{-0.21}$
NGC 2787SB0n0.40$^{+ 0.04}_{- 0.05}$ −20.963.550.30$^{+0.45}_{-0.18}$
NGC 2960Sa?n?0.12$^{+0.005}_{-0.005}$ −23.853.063.5$^{+5.1}_{-2.1}$
NGC 2974En1.7$^{+ 0.2}_{- 0.2}$ −24.034.066.7$^{+5.7}_{-3.1}$
NGC 3079SBcn0.024$^{+0.024}_{-0.012}$ −21.844.040.88$^{+1.28}_{-0.52}$
NGC 3115S0n8.8$^{+ 10.0}_{- 2.7}$ −23.093.211.9$^{+2.7}_{-1.1}$
NGC 3227SBan0.14$^{+ 0.10}_{- 0.06}$ −22.602.730.93$^{+1.37}_{-0.56}$
NGC 3245S0n2.0$^{+ 0.5}_{- 0.5}$ −22.633.261.24$^{+1.8}_{-0.7}$
NGC 3368SBabn0.073$^{+0.015}_{-0.015}$ −22.293.150.86$^{+1.26}_{-0.51}$
NGC 3377E5n0.77$^{+ 0.04}_{- 0.06}$ −22.873.782.0$^{+1.7}_{-0.9}$
NGC 3379E1y4.0$^{+ 1.0}_{- 1.0}$ −23.873.945.4$^{+4.7}_{-2.5}$
NGC 3384SB0n0.17$^{+ 0.01}_{- 0.02}$ −22.483.431.2$^{+1.7}_{-0.7}$
NGC 3393SBan0.34$^{+ 0.02}_{- 0.02}$ −23.893.684.9$^{+7.1}_{-2.9}$
NGC 3414S0n2.4$^{+ 0.3}_{- 0.3}$ −22.983.582.0$^{+2.9}_{-1.2}$
NGC 3489SB0n0.058$^{+0.008}_{-0.008}$ −21.953.260.66$^{+0.97}_{-0.40}$
NGC 3585S0n3.1$^{+ 1.4}_{- 0.6}$ −23.943.675.1$^{+7.4}_{-3.0}$
NGC 3607S0n1.3$^{+ 0.5}_{- 0.5}$ −23.533.062.6$^{+3.8}_{-1.5}$
NGC 3608E2y2.0$^{+ 1.1}_{- 0.6}$ −23.563.433.2$^{+2.7}_{-1.5}$
NGC 3842Ey97$^{+ 30}_{- 26}$ −26.754.47100$^{+86}_{-46}$
NGC 3998S0y?8.1$^{+ 2.0}_{- 1.9}$ −22.373.961.4$^{+2.1}_{-0.9}$
NGC 4026S0n1.8$^{+ 0.6}_{- 0.3}$ −22.223.340.88$^{+1.30}_{-0.53}$
NGC 4151SBabn0.65$^{+ 0.07}_{- 0.07}$ −22.603.361.3$^{+1.9}_{-0.8}$
NGC 4258SBbcn0.39$^{+ 0.01}_{- 0.01}$ −21.583.630.56$^{+0.82}_{-0.34}$
NGC 4261E2y5.0$^{+ 1.0}_{- 1.0}$ −25.464.3529$^{+25}_{-13}$
NGC 4291E2y3.3$^{+ 0.9}_{- 2.5}$ −23.894.136.1$^{+5.2}_{-2.8}$
NGC 4342S0n4.5$^{+ 2.3}_{- 1.5}$ −21.703.710.65$^{+0.96}_{-0.39}$
NGC 4388Sbn?0.075$^{+0.002}_{-0.002}$ −23.573.503.3$^{+4.9}_{-2.0}$
NGC 4459S0n0.68$^{+ 0.13}_{- 0.13}$ −22.903.752.0$^{+3.0}_{-1.2}$
NGC 4473E5n1.2$^{+ 0.4}_{- 0.9}$ −24.024.136.9$^{+5.9}_{-3.2}$
NGC 4486aE2n0.13$^{+ 0.08}_{- 0.08}$ −22.244.191.4$^{+1.2}_{-0.6}$
NGC 4552Ey4.7$^{+ 0.5}_{- 0.5}$ −24.253.947.7$^{+6.6}_{-3.6}$
NGC 4564S0n0.59$^{+ 0.03}_{- 0.09}$ −22.103.610.90$^{+1.3}_{-0.5}$
NGC 4594Say6.4$^{+ 0.4}_{- 0.4}$ −23.913.203.9$^{+5.7}_{-2.3}$
NGC 4596SB0n0.79$^{+ 0.38}_{- 0.33}$ −22.843.641.8$^{+2.7}_{-1.1}$
NGC 4621En3.9$^{+ 0.4}_{- 0.4}$ −24.493.668.4$^{+7.2}_{-3.9}$
NGC 4649E1y47$^{+ 10}_{- 10}$ −25.504.1227$^{+23}_{-12}$
NGC 4697E4n1.8$^{+ 0.2}_{- 0.1}$ −24.063.786.0$^{+5.2}_{-2.8}$
NGC 4736Sabn?0.060$^{+0.014}_{-0.014}$ −21.543.170.43$^{+0.64}_{-0.26}$
NGC 4826Sabn?0.016$^{+0.004}_{-0.004}$ −22.473.111.0$^{+1.5}_{-0.6}$
NGC 4889cDy210$^{+ 160}_{- 160}$ −27.004.41122$^{+105}_{-57}$
NGC 4945†SBcdn?0.014$^{+0.014}_{-0.007}$ −20.604.210.30$^{+0.45}_{-0.18}$
NGC 5077E3y7.4$^{+ 4.7}_{- 3.0}$ −25.404.4929$^{+25}_{-13}$
NGC 5576E3n1.6$^{+ 0.3}_{- 0.4}$ −24.504.2411$^{+10}_{-5}$
NGC 5813Ey6.8$^{+ 0.7}_{- 0.7}$ −25.253.9720$^{+17}_{-9}$
NGC 5845E3n2.6$^{+ 0.4}_{- 1.5}$ −22.994.252.8$^{+2.4}_{-1.3}$
NGC 5846Ey11$^{+ 1}_{- 1}$ −25.324.2124$^{+20}_{-11}$
NGC 6086Ey37$^{+ 18}_{- 11}$ −26.504.4278$^{+67}_{-36}$
NGC 6251E2y?5.9$^{+ 2.0}_{- 2.0}$ −26.574.7396$^{+83}_{-44}$
NGC 6264S?n?0.31$^{+0.004}_{-0.004}$ −23.613.573.6$^{+5.2}_{-2.1}$
NGC 6323Sabn?0.10$^{+0.001}_{-0.001}$ −23.373.362.6$^{+3.8}_{-1.5}$
NGC 7052Ey3.7$^{+ 2.6}_{- 1.5}$ −25.974.7355$^{+48}_{-26}$
NGC 7582SBabn0.55$^{+ 0.26}_{- 0.19}$ −22.833.061.4$^{+2.0}_{-0.8}$
NGC 7768†Ey13$^{+ 5}_{- 4}$ −26.414.2164$^{+55}_{-30}$
UGC3789SBabn?0.11$^{+0.005}_{-0.005}$ −22.663.181.2$^{+1.8}_{-0.7}$

Note. † Galaxies for which we did not obtain new archangel photometry. Column (1): Galaxy identifier. Column (2): Morphological type. Column (3): Core type. y indicates the galaxy contains a core, n indicates the galaxy does not have a depleted core. ? indicates that the classification is based on the velocity dispersion. Column (4): Supermassive black hole mass. References are provided in GS13. Column (5): Inclination and dust corrected Ks absolute spheroid magnitude. For elliptical galaxies the typical uncertainty on Ks, sph is 0.25 mag. For disk galaxies this increases to 0.75 mag, due to the additional dust and bulge-to-total corrections. Column (6): (BKs ) spheroid color. Column (7): Spheroid stellar mass. For elliptical galaxies the typical uncertainty on Msph, * is 0.2 dex, for disk galaxies this increases to 0.36 dex.

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Following GS13, apparent magnitudes were converted to absolute magnitudes using distance moduli primarily from the surface brightness fluctuation based measurements of Tonry et al. (2001), after applying the 0.06 mag correction of Blakeslee et al. (2002, see GS13 for a full list of references for the distance determinations). All magnitudes were corrected for Galactic extinction following Schlegel et al. (1998), cosmological redshift dimming, and K-corrections.

In addition to the standard corrections mentioned above, two further "corrections" were applied to the absolute magnitude of disk galaxies to derive spheroid magnitudes. Given the large sample size, individual spheroid fractions were not derived for each object, but instead a mean statistical correction was applied based on each object's morphological type and disk inclination. The relationship between the applied correction (for both dust and bulge fraction) is based on the galaxy's morphological type and inclination and is given by Equation (5) in GS13. The dust correction follows the method of Driver et al. (2008) and depends on the galaxy inclination and passband. The correction for the bulge-to-disk flux ratio was derived from the observed bulge-to-disk flux ratios presented in Graham & Worley (2008), as adapted slightly by GS13. The bulge-to-disk correction depends on morphological type and passband, and is given in Table 2 of GS13 for the B- and Ks -bands.

While the above prescription results in significant uncertainties for the spheroid magnitudes of individual bulges, the ensemble average correction is considerably more accurate, scaling with $\sqrt{N}$. Such a statistical correction is only now viable given the sufficiently large sample of supermassive black hole masses in disk galaxies that are available in the literature. Our updated inclination and dust corrected Ks -band spheroid magnitudes for the full sample are given in Table 1, the B-band values are given in Table 2 of GS13.

We use the absolute galaxy magnitudes of the elliptical galaxies and the inclination and dust corrected bulge magnitudes of the disk galaxies to derive stellar masses for all spheroids in our final sample of 75 galaxies. Using the optical–NIR (BKs ) color of the spheroids, we derive stellar mass-to-light ratios (M/L) using the relations presented in Bell & de Jong (2001). For the Ks -band stellar mass-to-light ratio, $M/L_{K_s}$ and the (BKs ) color, the relation is:

Equation (2)

We derive stellar mass-to-light ratios in the Ks -band as this ratio shows the smallest sensitivity to color in this band. For the range of BKs colors found in our sample, $M/L_{K_s}$ varies by a factor of two, compared to a factor of seven for the B-band mass-to-light ratio. Ks -band magnitudes also suffer the least from dust extinction, though as noted by Bell & de Jong (2001) the conversion to stellar mass based on an optical–NIR color is not significantly affected by dust. The final stellar masses for all 75 spheroids in our sample are given in Table 1.

Last, we note that for all 75 galaxies, GS13 identified them as either Sérsic or core-Sérsic galaxies. For the majority of galaxies this classification was based upon examination of their surface brightness profiles taken from Hubble Space Telescope (HST) imaging. For 19 galaxies without HST imaging GS13 assigned a core type based on the galaxy's velocity dispersion (see GS13 for further details, including a list of those objects with velocity dispersion based core type assignments). The most massive galaxies are typically core-Sérsic galaxies and the least massive galaxies are exclusively Sérsic galaxies; however, there is a significant region of overlap, with spheroids in the 1010–1011M region showing both profile types. For all of these galaxies in the overlap region the classification was based on their observed light profile.

2.1. Sources of Uncertainty on MBH and Msph, *

The uncertainty on MBH for each individual object is given in Table 1; these are drawn from the same sources as the black hole mass measurements themselves and have been adjusted to the distances tabulated in GS13—detailed references are given in GS13. The typical uncertainty on MBH is 50%.

The total uncertainty on Msph, * has contributions from two or three separate components. For elliptical galaxies these are the uncertainty on the Ks magnitudes measured by archangel, and the uncertainty in converting this magnitude into a stellar mass. The uncertainty in the magnitudes derived from the 2MASS photometry are determined by the archangel pipeline, and are typically ∼0.25 mag (or 0.1 dex). The uncertainty in the M/L used to convert these magnitudes to stellar masses depends on the uncertainty in the (BKs ) color, and on the uncertain star formation history of each object. Bell & de Jong (2001) give $M/L_{K_s}$ for a range of star formation histories, allowing the uncertainty in M/L due to the uncertain star formation history to be estimated. For our sample, the uncertainty on $M/L_{K_s}$ (due to both the uncertainty on the observed color and the uncertain star formation history) is typically 0.17 dex. In elliptical galaxies the typical total uncertainty on Msph, * for diskless systems is 0.2 dex.

In systems with a stellar disk there is the additional source of uncertainty in converting the total magnitude into a spheroid magnitude by applying both a dust correction and a correction for the bulge-to-disk flux ratio. The uncertainty due to the dust correction is estimated by Driver et al. (2008) to be 5% in both the B- and K-bands. The uncertainty in the bulge-to-disk flux ratio can be estimated from the data presented in Graham & Worley (2008, their Table 4), and for the galaxies in our sample is typically 0.3 dex. For systems with a disk this is the dominant source of uncertainty and the total typical uncertainty in Msph, * is 0.36 dex.

3. ANALYSIS

In Figure 3 we show the spheroid stellar mass plotted against the supermassive black hole mass for all galaxies in Table 1. We separate galaxies into Sérsic (filled blue symbols) and core-Sérsic (open red symbols). We fit separate linear regressions to the Sérsic and core-Sérsic galaxy subsamples, using the bces bisector regression of Akritas & Bershady (1996). This technique takes into account the measurement uncertainties in both black hole mass and stellar spheroid mass and accounts for (though does not determine) the intrinsic scatter. For the core-Sérsic galaxies the best-fitting symmetrical regression is

Equation (3)

and for Sérsic galaxies the best-fitting symmetrical regression is

Equation (4)

with rms residuals of 0.47 and 0.90 dex respectively in the log MBH direction. These linear relations are shown in Figure 3 as the solid red and blue lines for the core-Sérsic and Sérsic galaxies, respectively. For comparison, the linear regression to the combined sample is shown as the black dashed line, which has a slope of 1.50  ±  0.12 (c.f. Laor 2001) and an rms residual of 0.67 dex. The best-fitting regressions for the two different types of galaxy have significantly different slopes that are not consistent with each other given the confidence intervals on the slopes. Sérsic galaxies follow an approximately quadratic relation, whereas core-Sérsic galaxies follow an approximately linear relation. This is in agreement with the analysis and conclusions of Graham (2012a) who studied the MBHMsph, dyn relation.

Figure 3.

Figure 3. Supermassive black hole mass vs. spheroid stellar mass for core-Sérsic (open red symbols) and Sérsic (filled blue symbols) galaxies. The best-fitting linear relations to the two samples are, given by Equations (3) and (4) shown as the solid lines. For comparison, the best-fitting linear regression for the full sample is shown as the dashed line and is dependent on the sample selection. A representative error bar is shown in the upper left corner.

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The bend or break in the MBHMsph, * distribution occurs where the core-Sérsic and Sérsic relations overlap. This is at a spheroid stellar mass Msph, * ∼ 3 × 1010M, corresponding to a black hole mass MBH ∼ 2 × 108M. The significance of this "break mass" will be discussed in Section 4. Here we simply note that very few Sérsic galaxies have MBH greater than this break mass; equally no core-Sérsic galaxy has a black hole mass below this value.

Park et al. (2012) examined the effect of using different linear regression techniques on the MBH–σ relation but their results are applicable to supermassive black hole scaling relations in general. They reported that three popular regression techniques, bces (as used in this work), a modified version of fitexy (Press et al. 1992; Tremaine et al. 2002), and a Bayesian technique developed by Kelly (2007), linmix_err, return consistent results. However, if the measurement uncertainties are larger than ∼15% in the ordinate when using the "forward" regression, they find that the bces routine may be biased to higher slopes (as was noted by Tremaine et al. 2002). Because of the significant uncertainties on many of our low-mass spheroid stellar masses (due to our statistical bulge-disk separation), we redetermined our core-Sérsic and Sérsic relations using the modified fitexy and the linmix_err linear regression methods to test the robustness of our result. Following GS13, we determine a symmetrical bisector regression from the linmix_err routine by determining the "forward" and "inverse" regressions, then determining the line that bisects those two regressions. Using the linmix_err method we find bisector slopes for the core-Sérsic and Sérsic samples of 1.10  ±  0.07 and 2.11  ±  0.46, respectively. We adopt a similar approach with fitexy; determining the "forward" and "inverse" regressions, then determining the bisector line. This method yields bisector regressions for the core-Sérsic and Sérsic samples with slopes of 1.08 and 2.48, respectively. With all three symmetric regression methods we find consistent best-fitting relations, and in all cases the slope for the Sérsic galaxies is greater than 2σ steeper than that for core-Sérsic galaxies. We conclude that our principal result—that core-Sérsic and Sérsic galaxies follow different MBHMsph, * relations is robust against the choice of linear regression method.

The core-Sérsic/Sérsic classification is similar to the slow rotator/fast rotator (SR/FR) classification of Emsellem et al. (2007), though as discussed in Emsellem et al. (2011) the overlap between the two systems is not perfect. Of our objects, 33/75 are part of the ATLAS3D survey (Cappellari et al. 2011) and have FR/SR classifications from Emsellem et al. (2011). We also examined the spheroid stellar mass versus supermassive black hole mass relation for these galaxies. We again fit linear regressions to the two samples of 9 SR and 24 FR galaxies. With this smaller sample we do not find significantly different slopes for the FR and SR samples; the slopes for the FR and SR samples are 1.71  ±  0.27 and 1.32  ±  0.44, respectively. While the slope for FRs is somewhat steeper, the difference is not significant given the formal uncertainty on the derived slopes. However, this may be caused by the galaxies with the most massive black holes and the least massive galaxies not having an FR/SR classification and therefore not being included in these regressions. This same sampling effect, where galaxies at the extremes of the supermassive black hole mass scaling relations were not well-sampled, led to a single log-linear relation being sufficient to describe the data in the past. It is only recently, where increased numbers of objects at the extremes of the relations have been added, has the bend in the supermassive black hole mass scaling relations become evident. Alternatively, the core-Sérsic/Sérsic classification may be more closely linked to the mechanism(s) responsible for black hole growth than the FR/SR classification. Indeed, FR lenticular galaxies with depleted cores are known to exist (Dullo & Graham 2013; Krajnović et al. 2013). A larger sample of galaxies with both measured supermassive black hole masses and kinematic classifications would be desirable.

From Equation (4), the expected variation of MBH/Msph, * with Msph, * is close to linear for the Sérsic galaxies, with the black holes of more massive spheroids representing a larger fraction of their host spheroid's mass. In Figure 4 we show the ratio of supermassive black hole mass to spheroid stellar mass as a function of spheroid stellar mass. In previous studies which found $M_\mathrm{BH} \propto {M}_\mathrm{sph,*}^{\sim 1}$, this ratio was thought to be constant, with the supermassive black hole having a mass ∼0.15%–0.20% of its host spheroid's mass (Merritt & Ferrarese 2001; Marconi & Hunt 2003). Here we find that this remains approximately true for the core-Sérsic galaxies, albeit with MBH ∼ 0.55% of Msph, * (the relation for core-Sérsic galaxies is consistent with a slope of 1 hence a constant mass fraction). However, for Sérsic galaxies, we find that the average MBH/Msph, * is offset to a lower mean value of 0.3% for our particular sample's mass range and it also displays a large range, from ∼0.02%–2%.

Figure 4.

Figure 4. The ratio of supermassive black hole mass to spheroid stellar mass, MBH/Msph, * vs. Msph, *. As previously, core-Sérsic galaxies are shown as red open symbols and Sérsic galaxies as blue filled symbols. A representative error bar is shown in the upper right corner.

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4. DISCUSSION

4.1. Comparison to Previous Studies

In this work we have identified a break in the MBHMsph, * diagram, caused by two separate log-linear relations with significantly different slopes for core-Sérsic and Sérsic galaxies. While this result is a significant change from the commonly accepted view of single log-linear scaling relations describing the relationship between black holes and their host spheroids, this work is not the first to identify this change. As noted in Section 1, Graham (2012a) and GS13 have both previously reported the need for separate log-linear relations for core-Sérsic and Sérsic galaxies to describe the trend of black hole mass with host galaxy dynamical mass and host spheroid luminosity, respectively. In addition, Graham (2007) had previously noted that both the MBH–σ and MBHL relations cannot both be log-linear due to the non-linear L–σ relation for early-type galaxies.

While in this paper we have quantified the first bent relation between black hole mass and host spheroid stellar mass, we can compare our results with past work pertaining to the host's dynamical mass. GS13 reported an MBH$L_{K_S}$ relation for the Sérsic galaxies with a slope of 2.73  ±  0.55, which they equated to a slope of 2.34  ±  0.47 in the MBHMdyn diagram using $M/L_{K_s} \propto {L}_{K_s}^{1/6}$ (e.g., La Barbera et al. 2010; Magoulas et al. 2012). Prior to that, Graham (2012a) had reported a slope of 1.92  ±  0.38 for the MBHMdyn relation based on independent data. These two steep slopes compare well with our slope of 2.22  ±  0.58 for the Sérsic galaxy MBHMsph, * relation. For the core-Sérsic galaxies, GS13 had reported a slope of 1.10  ±  0.20 in the MBH$L_{K_S}$ diagram. If core-Sérsic galaxies are predominantly built by dry mergers of galaxies near or above the high-mass end of the Sérsic distribution, then the slope in the MBHMsph, * diagram should be the same as the slope in the MBHL diagram. Graham (2012a) had additionally reported a slope of 1.01  ±  0.52 for the core-Sérsic galaxies in the MBHMdyn, sph diagram (with the large uncertainty reflecting their small sample size). These two shallower slopes are consistent with our slope of 0.97  ±  0.14 in the MBHMsph, * diagram.

Other authors have noted that low luminosity (or mass) galaxies are consistently offset from single log-linear black hole scaling relations derived from samples dominated by massive systems. Greene et al. (2008) identified a population of low mass galaxies (stellar masses in the range 109–1010M) whose black hole masses were offset below the MBHMbulge relation of Häring & Rix (2004) by an order of magnitude. More recently, Mathur et al. (2012) determined black hole masses for a sample of 10 narrow-line Seyfert galaxies with host spheroid luminosities in the range 3 × 109–3 × 1010L (corresponding to a range in stellar mass of approximately 1010–1011M) and again found their galaxies to be offset below the Häring & Rix (2004) relation. While Mathur et al. (2012) attribute much of this offset to five of their objects being "pseudobulges", the remaining five are "classical" bulges and are still substantially offset from the MBHLbulge relation of Gültekin et al. (2009). Greene et al. (2008) also identify many of their objects which are significantly offset below the classical log-linear MBHMbulge relation as being well fit with a de Vaucouleurs (n = 4) profile, suggesting they are not pseudobulges. The offset objects found by both these studies are consistent with the log-linear scaling relations for Sérsic galaxies reported in this work, Graham (2012a) and in GS13. While we do not identify pseudobulges in our sample, we note that both NGC 4486a and NGC 821, both "classical" elliptical galaxies with no indication of a pseudobulge, are consistent with our Sérsic scaling relation and offset from the core-Sérsic relation, arguing against the offset nature of the low-mass systems being a pseudobulge phenomena.

Sani et al. (2011), Vika et al. (2012) and Beifiori et al. (2012) have all recently constructed MBHMsph, * relations (or in the case of Vika et al. 2012, the closely-related MBHLK, sph relation) for large samples (∼50 galaxies). All three studies only considered single log-linear fits to their data and are dominated by massive galaxies with Msph, * > 3 × 1010M. As expected from their high-mass-dominated samples, all three studies find MBHMsph, * relations with slopes ∼1, consistent with our finding for core-Sérsic galaxies. However, in all three studies a number of galaxies are offset below those authors' single log-linear relations. With host spheroid masses around 3 × 1010M, they are consistent with the high-mass regime of our Sérsic galaxy relation. These studies highlight the need to extend the range of supermassive black hole masses and host spheroid masses used to examine the black hole scaling relations.

4.2. Scatter about the MBH Msph, * Relation

As well as determining the slope of the supermassive black hole scaling relations, many studies also examine the scatter about the relations. In particular, this is done to argue that one of the relations has reduced intrinsic scatter compared to the other common scaling relations, and therefore is the "fundamental" driving relation. At low masses the scatter in our Figure 3 is dominated by the large measurement uncertainties due to our statistical dust and bulge correction, making such a comparison difficult for this study. Instead, we will make a few simple observations on the revised expectations for the intrinsic scatter as a result of our bent scaling relation.

As noted in Section 3, the observed scatter (the sum of the intrinsic scatter and measurement uncertainty) in the black hole mass direction is significantly larger for the Sérsic galaxies than for the core-Sérsic galaxies: 0.90 dex compared to 0.47 dex. An increase is expected given the typically larger measurement uncertainties for the Sérsic galaxies due to the statistical dust and bulge correction. However, we also expect the scatter in the vertical direction to increase because of the increased slope of the relation for the Sérsic galaxies. This is not the case for the intrinsic scatter orthogonal to the relation—we would expect this to be reduced relative to a single log-linear relation fit to the entire data. The orthogonal scatter we find for the core-Sérsic galaxies is 0.26 dex, and for the Sérsic galaxies it is 0.29 dex, an improvement over the 0.31 dex orthogonal scatter we find for the single log-linear relation.

Finally, a number of theoretical studies have examined the idea of the supermassive black hole scaling relations being the product of the repeated merging of a randomly seeded initial population of black holes and host galaxies (Peng 2007; Jahnke & Macciò 2011). These studies predict a decrease in the intrinsic scatter as host galaxy mass increases (though Jahnke & Macciò 2011 note that the addition of star formation to their model reduces the rate of this decrease in scatter). Given the large measurement uncertainties for many of our Sérsic galaxies it is difficult to quantify any variation of the intrinsic scatter with host mass in our sample. Moreover, we expect that only for the core-Sérsic galaxies is the binary merging of both galaxies and black holes the dominant mechanism of growth. As these galaxies only span a relatively narrow range in host spheroid mass, any systematic variation of the intrinsic scatter within this subsample is uncertain.

4.3. Comparing Supermassive Black Hole and Nuclear Star Cluster Scaling Relations

Ferrarese et al. (2006a) and Wehner & Harris (2006) have argued that nuclear star clusters and supermassive black holes form a single class of central massive object (CMO) based on their allegedly common mass scaling relations, though recent studies (Balcells et al. 2007; Graham & Spitler 2009; Graham 2012b; Erwin & Gadotti 2012; Leigh et al. 2012; Scott & Graham 2013) have since argued against this scenario. We briefly re-examine the connection between nuclear star cluster and supermassive black hole scaling relations in the light of the bent MBHMsph, * relation. In Figure 5 we show MCMO versus Msph, * for the Sérsic galaxies presented in this study and the nuclear star clusters presented in Scott & Graham (2013). The two lines show the best-fitting linear relations to the two samples. The MNCMsph, * line is taken from Scott & Graham (2013) and has a slope of 0.88  ±  0.19. The relation for the nuclear star clusters is 2.3σ shallower than that for the supermassive black holes. This difference is more pronounced than that reported by Scott & Graham (2013), due to our improved bent supermassive black hole scaling relation, strongly suggesting that supermassive black holes and nuclear star clusters do not follow a common scaling relation and therefore do not have a common formation mechanism.

Figure 5.

Figure 5. Central massive object mass, MCMO vs. spheroid stellar mass, Msph, * for our Sérsic galaxies (blue points) and for the nuclear star clusters (and host spheroids) of Scott & Graham (2013; open green squares). The blue and green lines are the best-fitting symmetrical linear relations to the two samples (the green line is taken from Scott & Graham 2013).

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4.4. The Growth of Supermassive Black Holes and Stellar Spheroids

As noted in Section 3, the break or bend in the MBHMsph, * relation occurs at Msph, * ≃ 3 × 1010M. This mass scale has been identified by a number of authors as marking a change in early-type galaxy properties. Below this mass galaxies are typically young, low-surface density objects (Kauffmann et al. 2003b), whose spheroid's surface brightness is well fit by a Sérsic profile (Graham & Guzmán 2003; Balcells et al. 2003), and define a sequence of increasing M/L and bulge fraction (Cappellari et al. 2012)—until dwarf spheroidal systems appear around MB ∼ −14 mag. Above this mass galaxies are typically old with high Sérsic indices (Graham et al. 2001; Kauffmann et al. 2003b), have core-Sérsic surface brightness profiles (Graham & Guzmán 2003), are bulge-dominated and show only a narrow range in M/L (Cappellari et al. 2012). Tremonti et al. (2004) also report that the mass–metallicity relation flattens above this mass scale.

The results discussed above are all consistent with a scenario in which galaxies with spheroid masses below the rough 3 × 1010M divide grow predominantly through gas-rich processes involving significant in situ star formation whereas the growth of those galaxies above this mass scale is dominated by "dry" processes involving little gas and the direct accretion of stars via mergers. This is similar to a scenario adopted by Shankar et al. (2012) based on their semi-analytic model of black hole and galaxy formation.

In the high-mass regime where little gas is involved, black hole growth will be dominated by the binary merger of supermassive black holes during galaxy mergers. In a dry merger, to first order, the masses of the two progenitor galaxies will simply be added, as will the masses of their supermassive black holes. Thus, in this regime we can roughly expect a linear relationship between supermassive black hole mass and host stellar mass, as observed.

In the low mass regime gas plays a more significant role, complicating the picture. Galaxies can grow from the direct cooling of gas from their immediate surroundings, and even when mergers do play a significant role the resulting growth (of both stellar mass and black hole mass) will not be simply additive as the "wet" mergers will likely be accompanied by significant star formation. The slope of ∼2.2 in the MBHMsph, * relation that we find for Sérsic galaxies implies that black holes have grown more rapidly than their host spheroids. This is consistent with the growth of these galaxies being dominated by gaseous processes (e.g., gas-rich mergers, cooling of hot gas, secular evolution: see Hopkins & Hernquist 2009, for a detailed discussion of the full range of processes) that efficiently channel material onto the central black hole (see e.g., Marconi et al. 2004) but are less effective at growing the host galaxy spheroid. One such example of a supermassive black hole growing more rapidly than its host galaxy has recently been observed by Seymour et al. (2012). This steepening of the supermassive black hole mass–host spheroid stellar mass relation has been reproduced in a number of simulations (Cirasuolo et al. 2005; Dubois et al. 2012; Neistein & Netzer 2013, Figures 5, 3, and 8, respectively), though these authors have typically focused on the agreement with the classical single log-linear relation in massive galaxies, rather than the downturn at lower mass in their simulated data.

5. CONCLUSIONS

The results in Section 3 represent a major revision to the accepted picture of the relationship between supermassive black holes and their host galaxies. Our results have significant implications for studies of how supermassive black holes and their hosts co-evolve over cosmic time; the detection of intermediate-mass supermassive black holes; and models of feedback from AGNs due to supermassive black hole growth.

We have examined the bent nature of the supermassive black hole mass–spheroid stellar mass relation for a large sample of 75 galaxies. We find that, when separating galaxies into core-Sérsic and Sérsic galaxies based on their central light profiles, they follow significantly different supermassive black hole scaling relations whose slopes are not consistent with one another. For the core-Sérsic galaxies $M_\mathrm{BH} \propto {M}_\mathrm{sph,*}^{0.97\,{\pm}\, 0.14}$, whereas for the Sérsic galaxies $M_\mathrm{BH} \propto {M}_\mathrm{sph,*}^{2.22\,{\pm}\, 0.58}$. These results are consistent with the expectation from a single log-linear supermassive black hole mass–host velocity dispersion relation combined with a bent relationship between host spheroid luminosity and host velocity dispersion. We find that the supermassive black hole mass is an approximately constant 0.55% of a core-Sérsic galaxy's spheroid stellar mass. The non-log-linear MBHMsph, * relation implies that, for Sérsic galaxies, MBH is not a constant fraction of the host spheroid mass, but represents an increasing fraction with increasing Msph, *.

This research was supported by Australian Research Council funding through grants DP110103509 and FT110100263.

Footnotes

  • The Sérsic model is reviewed in detail in Graham & Driver (2005)

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10.1088/0004-637X/768/1/76