Issue |
A&A
Volume 521, October 2010
|
|
---|---|---|
Article Number | A55 | |
Number of page(s) | 8 | |
Section | Extragalactic astronomy | |
DOI | https://doi.org/10.1051/0004-6361/200913146 | |
Published online | 20 October 2010 |
The mass function of nearby black hole candidates
L. I. Caramete1,2,
- P. L. Biermann1,3,4,5,6
1 - Max Planck Institute for Radio Astronomy, Auf dem Hügel 69, 53121 Bonn, Germany
2 -
Institute for Space Sciences, PO Box MG-23, Ro 077125 Bucharest-Magurele, Romania
3 -
Department of Physics and Astronomy, University of Bonn, Endenicher Allee 11-13, Bonn, Germany
4 -
Department of Physics and Astronomy, University of Alabama, Tuscaloosa, Alabama 35487, USA
5 -
Department of Physics, University of Alabama at Huntsville, 301 Sparkman Drive Huntsville, AL 35899, USA
6 -
Karlsruhe Institute of Technology, PO Box 3640, 76021 Karlsruhe, Germany
Received 19 August 2009 / Accepted 13 July 2010
Abstract
Context. The mass function of supermassive black holes in
our cosmic neighborhood is required to understand the statistics of
their activity and consequently the origin of ultra high energy
particles.
Aims. We determine a mass function of supermassive black hole candidates from the entire sky except for the Galactic plane.
Methods. Using the 2MASS catalogue as a starting point, and the
well-established correlation between black hole mass and the bulge of
old population of stars, we derive a list of nearby black hole
candidates within the redshift range
z < 0.025, then perform an additional
selection based on the Hubble type. We present our resulting catalogue
elsewhere. The final list of black hole candidates above a mass of
has 5829 entries. We perform a Hubble-type correction to account for
selection effects, which reduces this number to 2919 black hole
candidates. Here we use this catalogue to derive the black-hole mass
function. We also correct for volume, so that this mass function is a
volume-limited distribution to redshift 0.025.
Results. The differential mass function of nearby black hole
candidates is a curved function, with a straight simple power-law of
index -3 above
that becomes progressively flatter towards lower masses, turns off towards a gap below
,
and then extends into the range where nuclear star clusters replace
black holes. The shape of this mass function can be explained in a
simple merger picture. Integrating this mass function over the redshift
range for which it has been derived, infers a total number of black
holes with
z < 0.025, and
of about
,
or, if we average uniformly, 0.6 for every square degree on the sky.
Key words: black hole physics - galaxies: general - acceleration of particles
1 Introduction
In the quest to identify the origin of ultra high energy cosmic-ray particles, many proposed mechanisms use the power of supermassive black holes, obtained either from accretion (e.g., Falcke & Biermann 1995), from spin-down (e.g., Blandford & Znajek 1977), or in some other way (e.g., Biermann & Frampton 2006). It is not a priori clear, what is the most effective constraining argument to use when trying to identify which small fraction of all supermassive black holes produce ultra high energy particles. As long as the mechanism is unclear, we need to consider all plausible supermassive black holes. Therefore, it is important to obtain the mass function of black holes in order to estimate the number of black holes to within the sphere from where ultra high energy particles might come. Since various other groups have also derived the mass function of black holes, using different methods, we have a good way of checking our work.
Supermassive black hole characteristics are strongly correlated with the properties of their host galaxies, and we use this correlation to obtain abundant statistics, but also to control the quality of our data set. We wish to address a number of questions related to the super-massive black holes in the universe: a) it appears that super-massive black holes have a low cut-off in their mass distribution, which it is important to verify and whose existence we should try to understand; it also appears that the black holes mass function has an upper limit, and we need to understand whether this is a statistical fluke or has a physical meaning; b) what is the slope of the mass function? This will surely constrain our insight into how black holes grow; c) what is the energy input into the universe during the growth? This is an additional constraint; d) what is the number of black holes? This will constrain any search for directional correlations with ultra high energy cosmic-ray events.
2 Derivation
Super-massive black holes are common at the centers of galaxies, and their mass is correlated with the properties of the surrounding galaxy, for instance the velocity dispersion of the galactic stars, and the mass of stars in the spheroidal distribution of the old stellar population.
Since the old stellar population has a spectrum peaking near 2 microns (
)
(van der Wel et al. 2006),
and it is the properties of this population that correlates with those
of the black holes, we use the 2MASS catalogue as our starting point (Skrutskie et al. 2006): we focus on early Hubble-type galaxies
(Caramete & Biermann, in prep.)
and use the black-hole mass-spheroid correlation (e.g., Häring & Rix 2004; Silk & Rees 1998; Faber et al. 1997; Aller & Richstone 2007; Wang & Biermann 1998; Magorrian et al. 1998; Tremaine et al. 2002)
to derive the black hole mass function. We select down to 0.03 Jy at 2
microns, which is far brighter than the 2MASS catalogue completeness
limit.
The procedure is as follows:
- Step 1:
- We select first the 2 micron flux-density-limited sample of 10 284. We use all the distance corrections available for this sample.
- Step 2:
- We limit the sample to well determined Hubble types of only early Hubble type, obtaining a sample of size 5894.
- Step 3:
- We attempt to eliminate all galaxies for which
we do not have an equivalent method to find a black hole of a given
mass for all Hubble types. This reduce the sample by another factor of
two to 2928.
For this sample of 2928, we show that the luminosity function exhibits the classical Press-Schechter function (Schechter 1976), a powerlaw with an exponential cutoff. This agrees with previous work in the literature, but uses a different approach, suitable for larger numbers of black holes.
- Step 4:
- We derive the semi-final BH candidate mass function, extending apparently down to about 105 solar masses.
We now describe our procedure in more detail.
The mass of the central black hole is proportional to the flux
density of the stellar emission at 2 micron and also proportional to
the luminosity distance squared. We need to determine the
proportionality constant. This constant differs however for different
Hubble types of galaxies, and we have to determine the constant
separately, and then check for self-consistency. Since the spheroidal
stellar population is far more compact in size for later Hubble types,
these differences can be large. Because the estimate of the black hole
masses uses the redshift, which is a poor indicator of the true
distance at distances smaller than that of the Virgo cluster, we use
the available distances provided by the work of B. F. Madore and I. P.
Steer who
compiled a database of 3065 accurate, contemporary distances to 1073
galaxies with modest recessional velocities (that is, less than
1/8 c) published almost exclusively between 1990 and 2006.
From this, we match 429 distances to those in the catalog of massive
black hole, and for the rest of distances smaller than that of the
Virgo cluster we used distances with respect to only the Virgo infall
provided by NED.
We use known black hole masses to calibrate the various early
Hubble types: this control sample comprises 58 black holes selected
from the recent literature where we use only galaxies earlier than type
Sc, including type Sb. These fits provide an error bar of 0.4 dex, slightly worse than the
0.3 dex error given by more sophisticated fits using a much better but also much smaller data set (Aller & Richstone 2007). These corrections affect a large fraction of the candidate black holes. The final list above
comprises 5829 black hole candidates. The main error is
0.4 dex, which affects most of the binning of the sample.
In Table 1, we show how many galaxies of various kinds are excluded, and it becomes obvious that from these statistics at worst we have a factor of less than 2 error, if all excluded galaxies of no known Hubble type are indeed either E or S0.
![]() |
Figure 1: This is the correction factor required to obtain the black hole mass from the 2 micron emission of the old stellar population, as a function of Hubble type, relative to elliptical galaxies. |
Open with DEXTER |
![]() |
Figure 2: Histogram of the calculated black hole masses for the sample of black holes obtained from the literature. |
Open with DEXTER |
Table 1: The number of galaxies of different type for each selection.
We show how the correction factor depends on the Hubble type relative to the typical value for elliptical galaxies in Fig. 1.
In Fig. 2, we show that we have galaxies with black hole masses over the entire range of
to
as calibrators.
We derive a mass function by going to the minimum mass at each redshift, for which the list is complete to the chosen flux density in the 2MASS catalogue, starting with 0.025 and going down, always correcting for smaller volume. In our adopted procedure, we obtain the number of black holes in several bins above the minimum mass that we can find for both spirals and ellipticals, at redshift z = 0.025. We then go down in redshift, correcting for different accessible volumes for a complete sample. Figure 3 illustrates the procedure.
![]() |
Figure 3: Plot of mass over redshift for the massive black hole catalog with the selection curve for elliptical galaxies. This also shows the stepwise selection procedure with the two most extreme cases of the lowest mass and the highest redshift. |
Open with DEXTER |
This diagram of black hole mass versus redshift shows clearly that near the flux density limit, at any redshift, we have only spirals since for a given redshift and given flux density, elliptical galaxies have an inferred black hole mass a factor of up to 5 higher than spirals, Sb spirals having the greatest factor. To eliminate this bias, we divided the entire sample again such that we have a black hole mass limit at each redshift, which allows both spirals and ellipticals to enter the sample. This procedure eliminates many, but not all, of the late type spirals from our final sample for determining the mass function. The structures seen in this diagram illustrate the bias introduced by the correction factor when deriving black hole masses from flux-density-limited data. This reduces the fraction of spirals in the final ``Hubble-selected'' sample to about twenty percent, so greatly reducing the error contribution from the Hubble-type correction shown above.
We therefore follow the curved line in Fig. 3,
determine the number in that mass bin, and calculate the ratio relative
to volume; hence we continue to add bins at lower mass until we reach
the smallest bin that we wish to consider. This procedure ends at
redshift
z = 0.0045 for
,
and at
z = 0.0024 for
.
We now present our luminosity and mass functions obtained using this final selection of galaxies and their black hole candidates.
![]() |
Figure 4:
Integral luminosity function corrected for Hubble-type
sampling, 2928 objects selected in K-band, the parameters of the
Schechter function fit are
|
Open with DEXTER |
The luminosity functions (Fig. 4) agree with previous results in the literature, as we discuss below; they are all well fitted with a Press-Schechter law (1974), a power law with an exponential cutoff. Since our completeness criterion differ from that of most others, we note that our luminosity functions are similar. Since we selected far above the completeness limit of the 2MASS sky survey, and aim to select a galaxy sample that consists of almost 80 percent elliptical and S0-galaxies, our procedure of selection may be more complete for the task at hand, i.e., to determine the black hole mass function, independent of any other property of the black hole or the activity of its surroundings.
The errors included here include an estimate from the binning error induced by uncertain distances, and of course, also Poisson statistics, which are strongly relevant only to the highest mass bin where we have 25 galaxies with their presumed black holes. We consciously ignored all super-massive black holes in late Hubble type galaxies, which implies that our numbers are underestimates. Correcting for the Galactic plane using a histogram of numbers per latitude bin (see Caramete & Biermann, in prep.) increases our number by 12.5 percent. We show the result in Fig. 5, with error bars and fits through the data.
![]() |
Figure 5:
Integral mass function corrected for Hubble type sampling,
2928 objects, the slope of the lines is: thick line -2.0 fitting >
|
Open with DEXTER |
Since it is unlikely that all these galaxies actually include a central black hole, we cut the distribution near
,
the mass of our Galactic center black hole; we obtain, including the correction for the missing Galactic plane (12.5 percent)
![]() |
(1) |
between about
and about
,
and
![]() |
(2) |
above about
.
These two laws are reasonably good fits, and match near
.
We imposed the exponents pragmatically, since they can be determined
from the data only with large error bars, strongly depending on which
bins are included. Simple power laws are adequate.
Between a nominal
and
,
we have only 6 candidates, between
and
we have 46 candidates, and between
and
we have 185. In the mass range between
and
,
there is increasing uncertainty at lower masses, about whether we
really detect a black hole, and not just a nuclear star cluster.
Comparing this and various other fits that we tried, we
summarize these attempts including error bars from the original
calibration to various Hubble types; however, after our correction for
Hubble type selection there are few Sb spirals left in the sample
(128). Comparing a fit to both the ellipticals and S0s and the entire
sample, after applying a low mass cut, with that without any cut
provides an estimate of the error in the absolute normalization of
about 0.25 in the log; since there are systematics in allocating Hubble
types, and in either including or excluding galaxies, we increase our
estimate of the error by about
to a value of 0.4 in the log. We estimated the errors in the absolute
scaling, and the exponent from the fit. A lowering of the low mass
cutoff by a factor of 3 from
to
corresponds to a negligible increase in the integral number; the
integral mass function is nearly flat in that range, which of course
implies that the differential mass function in this interval is
consistent with zero. A final test was perforemed in which the
mass-redshift diagram was cut even more severely to check for edge
effects in the sampling, the black hole density increasing marginally,
less than 0.2 in the log.
Since any evolution in the black hole mass function is expected to vary approximately with
,
up to a redshift of 0.025 any evolutionary effects ought to be
negligible. On the other hand, it is unclear that we have reached the
distance range over which the universe is already perfectly
homogeneous, a distance possibly larger than 500 Mpc (Rudnick et
al. 2007; Kashlinsky et al. 2008); there is no reliable statistical
evidence that galaxies in the universe alter their properties
dramatically between 100 Mpc and 500 Mpc or even across a
widwr volume of the local universe.
![]() |
Figure 6:
Histogram of the black hole candidates, corrected for Hubble
type sampling, Hubble type correction, cut in BH mass at
|
Open with DEXTER |
In Fig. 6, we show our numbers of black holes above
as
a function of redshift and the fit to redshifts of a little above
0.015, where our procedure should be fairly complete for such a mass
limit. A homogeneous universe fit is amazingly adequate, but the data
also clearly demonstrate that near the redshift limit we begin to miss
galaxies, here about 15 percent of the total.
3 Comparisons
There have been a large number of studies of black hole mass functions, and their energy input, and here we compare with these papers.
3.1 Numbers of black holes
We obviously cannot be certain that all these black hole candidates
are really black holes: this question was thoroughly investigated by Greene et al. (2008), who could not find a large number of black holes below
.
We remain unable to state the extent to which this amounts to a selection effect. On the other hand, it was shown by Côté et al. (2006)
that the correlations between galaxy parameters and super-massive black
hole mass apparently seamlessly merge into a correlation with nuclear
star clusters. Nuclear star clusters can in turn become super-massive
stars, which collapse to form black holes (Portegies Zwart et al. 2004; Sanders 1970). This may in turn also explain the mass of the black holes near the transition.
The mass function is probably most accurately determined near a mass of
,
where we get a density of
.
At that mass the density agrees, within the error bars, with both Lauer et al. (2007), who show a possible range from
to
,
and Benson et al. (2007), who show a number near
(after correcting for the Hubble constant).
Greene & Ho (2007a) determined
the black hole mass function, with particular emphasis on low masses,
selecting galaxies on the basis of their activity. First, their numbers
show that this distribution peaks near
,
confirming that it may be reasonable to apply a cut at this mass.
Second, they confirm the slope which we obtain. However, their total
numbers are very much lower - by a factor of about 5000 - than in Benson et al. (2007); Lauer et al. (2007), and our results because of their very different selection procedure, which was based on the activity of black holes.
We conclude here, that our statistics are consistent with those of earlier studies.
3.2 Energy input from black holes
As black holes grow, they accrete from an emitting accretion disk, whose luminosity depends on the growth rate, and their final mass is therefore a direct measure of all growth (Novikov & Thorne 1973; Lüst 1952; Shakura & Sunyaev 1973). In a similar way, all reliably studied active galactic nuclei have radio emission (e.g., Nagar et al. 2005), which we interpret as originating in a relativistic jet (e.g., Falcke & Biermann 1995); however, in this case also, all energy dissipated and emitted by the jet is a measure of growth. On the other hand, mergers of black holes (e.g., Gergely & Biermann 2009), are more likely to emit abundant gravitational waves, which have been invisible so far in the normal universe. To study this, we need to obtain the total growth in black holes, hence their total mass.
If we integrate from
,
the total mass density in black holes is given by
![]() |
(3) |
which is barely dependent on where we cut the distribution, since at low masses the integral function goes flat, and at high masses the distribution becomes steep.
This compares, for instance with the number obtained by Kronberg et al. (2001), which has been derived from radio emission signatures, and so depends on the efficiency of the conversion process. These authors obtain a lower limit of
![]() |
(4) |
where
is the efficiency in units of ten percent. Kronberg et al. (2001)
derived their numbers from a selection of higher mass black holes, and
provide a lower limit. One could argue that all power output by black
holes in the mass range between
and
mostly influences the host galaxy, and is less relevant to the
intergalactic medium; it could, for instance, mostly contribute to
driving a galactic wind (see Everett et al. 2008; Breitschwerdt 2008). We ignored this contribution above.
We can simply convert the units to derive the mass density derived to be
![]() |
(5) |
which corresponds to a cosmological density of (assuming a Hubble constant of 70.1 km s-1Mpc-1 and a critical density of
Komatsu et al. 2009)
![]() |
(6) |
where the error bar in the first factor corresponds to a range of
to
.
Assuming that growth of black holes is mostly via baryonic accretion (Novikov & Thorne 1973; Shakura & Sunyaev 1973), the energy input into intergalactic space from the production of all these black holes is given by
![]() |
(7) |
which is by a factor of order
- excluding the uncertainties - far below that due to the microwave background (at
); this number is an average over all space, derived from the local universe to redshift 0.025.
We need to compare this estimate with the energy density visible directly in the electromagnetic background, with the energy density inferred to be there in the form of turbulent motion, heat, magnetic fields, and energetic particles, and comprehensive simulations of all these processes.
The electromagnetic radiation background in other wavelengths
is approximately (compilation by Kneiske 2009, priv. comm.) at FIR and
optical frequencies lower than the microwave background by
,
in X-rays lower by
,
and yet lower at higher frequencies to a factor of
for
-rays.
The energy input from the growth of black holes, even at only 10
percent efficiency as used above, exceeds all other energy densities,
and could be marginally consistent with the FIR and optical background.
The energy input has also been estimated by Gopal-Krishna & Wiita (2001), and Enßlin et al. (1998). Enßlin et al. obtain (2.5-
,
while Gopal-Krishna et al. derive
in
filaments, similar to what we obtain. We conclude that our numbers are
consistent with earlier estimates, which were derived differently.
We should also compare this with the numbers inferred from simulating the turbulent dynamo in the intergalactic medium (Ryu et al. 2008);
Ryu (2009), private communication. In this case, we need to compare our
numbers with the energy directed into thermal motions and magnetic
fields. Ryu obtained a magnetic field energy density of
averaged over the universe at zero redshift. In filaments they determined a magnetic field energy density of
,
on average a thermal energy density
,
and in kinetic energy a density
.
All this energy in these simulations originates in the gravitational
wells of the dark-matter large-scale structure, including the galactic
halos. Any need to inject far more energy from the activity and growth
of central black holes could present a serious problem. The energy
input from active galactic nuclei into magnetic fields might be far
less than 10 percent efficient; to satisfy observational constraints,
we then have the condition
![]() |
(8) |
where
is
here the efficiency with which we can channel energy from black hole
growth into overall magnetic field. We might satisfy this by arguing
that far less than 10 percent of all black holes ever become radio
galaxies, or alternatively that all super-massive black holes are radio
galaxies for much less than 10 percent of their time, and much
less than 1 percent of their accretion energy is channelled into
magnetic fields (we need a factor of
). This may then be consistent with the reasoning of Kronberg et al. (2001),
who consider only the manifest energy blown into the intergalactic
medium by radio galaxies, traceable through their nonthermal radio
emission, to derive numbers for the black hole density.
There are several ways out of this possible dilemma, an obvious answer being that the fraction of energy going into various channels, i.e., electromagnetic, kinetic and magnetic fields remains unclear. A last resort is to note that much of the energy emitted during the growth of black holes via mergers could go into gravitational waves.
3.3 Extrapolation to lower masses?
We must recall that we cannot be absolutely sure that the low mass cutoff is at
,
because it might be on a stellar scale (e.g., Clark et al. 2002; Irwin et al. 2009). There are very few confirmed black hole candidates with a mass that significantly exceeds 10
,
and is below
(see Trudolyubov & Priedhorsky 2004; Gebhardt et al. 2005; Abubekerov et al. 2009; Ulvestad et al. 2007; Patruno et al. 2006; van Kerkwijk et al. 1996; Casella et al. 2008; Maccarone & Koerding 2006; Orosz et al. 2007; Farrell et al. 2009; Silverman & Filippenko 2008).
One of the most convincing cases for an intermediate mass black hole is
the candidate in the cluster G1 within the galaxy M 31 also known
as Andromeda.
Since the integral mass function flattens out just near the
mass, where there may be very few black holes anymore, there may be
little mass below
.
The mass to there is only
.
This is far below the numbers for stellar mass black holes, according to some estimates (Agol & Kamionkowski 2002). We note that the total mass in stellar size black holes inside our Galaxy is estimated to be of the order of a few
to which our law clearly does not connect. It is then reassuring that there is little evidence for black holes between 20 and
(Barth et al. 2005,2008b,2004,2008a; Greene & Ho 2007b; Greene et al. 2008; Barth et al. 2009; Greene & Ho 2007a; Greene et al. 2006), and there appears to be many black holes between
and
,
but probably not enough to fill the distribution. These stellar black
holes increase a factor to the cosmological density of black holes
overall.
The finding of few black holes in this gap region is consistent with many other arguments (Körding et al. 2002),
implying that there may be no or very few intermediate mass black
holes. On the other hand, since the accretion statistics of any
hypothetical intermediate-mass black holes are unknown, the observed
distribution of candidate sources (Körding et al. 2002) might just be compatible with our statistics. If we were to require that this energy density stays at the level of the 10-5 fluctuations in the microwave background, then
would have to be beyond the upper end of the distribution. Whatever the
energy transmitted during the growth of black holes to the observed
distribution, it cannot have much effect on the low wave-number
fluctuations in the microwave background.
To spin this out, one could imagine that black holes grow initially fast by feeding on dark matter (Munyaneza & Biermann 2006,2005) and then continue to grow mostly by mergers; in this scheme, most of the black hole feeding would have come from dark matter. The gravitational waves emitted by all these growth events and mergers might obey the equation of state for dark energy (see Marochnik et al. 2008). It does not appear convincing that first all dark matter has to be black holes (see Abramowicz et al. 2009), and second that all dark energy originate in gravitational waves. At present, this extreme situation does not appear to be a viable solution.
4 The slope of the mass function
The shape of the mass function constrains the growth of the distribution. A simple power law at high masses suggests a self-similar process.
Silk & Takahashi (1979) illustrated how it is possible to estimate the building of a mass function from a repeated merger process, building on yet earlier work. We now consider whether their approach can also explain the slope that we find here.
We assume that all black holes grow by merging with other black holes and that baryonic accretion is just a multiplying factor, which is equivalent to perhaps always adding a factor of 1.5 in mass. It may well represent a narrow distribution of added fractional mass.
When writing the coalescence rate as
,
they find
that the resulting mass function in its power law form becomes
.
In our context, this implies that
.
This then says that the product of cross-section, typical velocity, and
sticking probability also follow this combined dependence on mass. In Gergely & Biermann (2009) we argued that the cross section increases as
.
On the other hand, small systems such as the Local Group, have a lower typical velocity of order 200 km s-1 than larger systems such as clusters of galaxies, with velocity dispersions of order 2000 km s-1. This leads to a crude dependence estimate of
with a large uncertainty. We estimate the stickiness to be 100 percent
for the chosen cross-section, after a few spiral-down orbits. The
combination would imply
,
compatible with what we obtain, allowing for large error bars. It is
possible that the merger cross-section increases more steeply with mass
than we have assumed here, and an exponent close to unity would allow a
closer match with data. We conclude that mergers between black holes
might be able to explain the entire mass distribution.
However, we have to ask whether this growth process could operate in a similar way for both nuclear star clusters and black holes. All these merger arguments may work as well for nuclear star clusters as for black holes surrounded by stars.
In this picture, the upper end of the distribution is just the maximum that can be reached given the density of galaxies and the mass of the central black holes.
5 The transition in mass
Why is there a minimum mass in super-massive black holes?
As we argued earlier, the available observational data and much work by Greene et al. (2008) and others show that there are very few black holes near to and below
.
There is a variety of explanations of why this is so (Munyaneza & Biermann 2006; Portegies Zwart et al. 2004; Munyaneza & Biermann 2005).
It seems plausible to assume that the transition from massive black
holes to nuclear star clusters holds a clue to solving this question. A
possible transition from a nuclear star cluster to a super-massive star
has been discussed by Sanders (1970), and again by Portegies Zwart et al. (2004), with the latter team arguing for a transition to a super-massive black hole (Heger et al. 2003; Appenzeller & Fricke 1972b,a). However, the results of Appenzeller & Fricke (1972a,b) preclude any contribution from super-massive stars near or above
,
since these stars completely explode because of an instability
predicted by General Relativity, leaving no black hole behind; we
therefore require no mechanism that manages to produce black holes
below this cutoff. Yungelson et al. (2008) demonstrated that wind mass loss effectively competes with agglomeration, so would limit massive stars of a few hundred
to below 100
;
this implies that it would be difficult to overcome this barrier in
mass. On the other hand, agglomeration is a runaway process, while
stellar winds are a quasi-steady process, basically limited to the
Eddington luminosity; so perhaps more extreme conditions are required
to achieve a serious runaway in agglomeration.
There are a number of processes that contribute to black home growth. One is the simple momentum exchange between stars on a timescale of (Spitzer 1962; Binney & Tremaine 1987; Chandrasekhar 1942; Spitzer 1987)
![]() |
(9) |
where
is the velocity dispersion of the stars in the system, which are assumed to be in virial equilibrium,
is the mass of the stars,
is the density of the stars, and
is the Coulomb logarithm, typically of value 20. For nuclear star
clusters, it is difficult to understand how this process by itself
would lead to a sudden transition at a specific mass, although a
gravo-thermal catastrophe could in principle achieve this (Spitzer 1987);
however, this process by itself implies that the objects of lower mass
become a black hole and those of higher mass remain a star cluster, in
contrast to observation.
On the other hand, the agglomeration of stars is governed by their collision timescale, which is
![]() |
(10) |
where
is the total number of stars,
is the density of stars, and
is
the cross-section of typical stars. We only need one star to start a
runaway coalescence, and that is also why we have the factor
.
The question is whether either of these two processes or a combination
of the two would allow a transition at a specific mass to a nuclear
star cluster. McMillan & Portegies Zwart (2007)
suggest that there is a very wide mass range across which the process
of agglomeration produces a wide variety of masses of intermediate mass
black holes. Therefore their conclusion is that this would not lead to
a relatively sharp transition.
Some have suggested (Perets & Alexander 2008) that in the case of a binary merger of equal black holes masses a gravitational rocket effect could eject black holes from galactic centers, and one could so imagine that all lower mass black holes might form, but no longer be in galactic centers. In this case, these black holes below the transition point would exist, but be invisible. However, in Gergely & Biermann (2009) we show that this process is unlikely to be statistically relevant.
To summarize, if we were to accept the process of agglomeration, we ask what could modify the conclusion of previous authors that a variety of masses is formed, and reduce the mass range for the transition mass? We now consider several possibilities.
First, galaxies grow by merging, starting from some minimum
size. Could this minimum size of a central black hole correspond to the
minimum size of a galaxy? This is difficult to answer, even
considering, that Gilmore et al. (2007) identified a minimum mass of order
,
most of it being in dark matter. To grow a galaxy such as ours that
contains a central black hole close to the low mass cut-off, would
require so many merger events, that it is difficult to see that much of
any connection to the minimum mass galaxy could survive in terms of
some a signature, except for properties that survive in all galaxies,
independent of whether they contain a black hole at their center.
Second, in a merger process we do obtain a central spike in dark matter from the merger density profile (Kravtsov et al. 1998; Moore et al. 1998; Navarro et al. 1997)
where
,
a scaled radial coordinate, and
is of order unity; various variants of this profile formula have been discussed (Kravtsov et al. 1998). This indicates that there is a central dark matter component of mass enclosed within R of
.
Applying this first to stars alone implies a radial dependence of
,
and velocity dispersion of
.
The combination implies that
,
hence an arbitrarily short timescale of stellar agglomeration
at
the center of merged galaxies. This implies that all galaxies have a
central super-massive black hole, not just those above a specific mass,
in contradiction to observational data. However, including the process
of massive star formation (e.g., Bartko et al. 2009)
near the center of a galaxy might require a certain minimum amount of
gaseous turn-over by star (star formation, mass ejection by winds, and
explosions), and so it is conceivable that these processes define a
threshold for run-away agglomeration.
Third, in a speculation on the nature of the dark matter particle's, Munyaneza & Biermann (2006,2005),
following earlier work, suggested that a keV Fermion would naturally
help to identify a mass scale from a degenerate configuration, and this
mass for a dark matter particle is consistent with a few
.
This mass appears consistent with a) the low mass cutoff in the galaxy distribution found by Gilmore et al. (2007), b) the early star formation (Loewenstein et al. 2009; Stasielak et al. 2007; Biermann & Kusenko 2006), and c) new galaxy data interpretation (de Vega & Sanchez 2009).
For some of these applications, it is important to remember that a
thermal keV particle is already excluded as a dark matter candidate (Shaposhnikov 2007); it would have to be substantially sub-thermal.
Fourth, if supermassive stars of all masses do form, evolve, and
explode, it is conceivable, that they do not form a black hole, but
a naked singularity (Joshi 2007),
which then due to quantum loop gravity effects disperses, leaving no
remnant behind. This would have to occur only in the mass range between
about 20 and
,
and neither above nor below.
Fifth, collapsing stars might undergo a phase transition to a SUSY-state (Clavelli 2006) before forming a black hole, which then also blows up all the star, leaving no remnant behind.
Finally, we need to remember, that in agglomeration of stars any massive star near to or above
becomes unstable and explodes, and does so on very short timescales, leaving no remnant behind (Appenzeller & Fricke 1972a,b).
Therefore, all stars reaching masses just below this limit will become
a black hole, and perhaps consist of the abundances of the early
universe; those very early massive stars near to but below instability
threshold will also become black holes rather than completely explode.
This instability defines a threshold, and makes it obvious why the
initial black holes - in the agglomeration picture - cannot originate
in stars of mass above about
.
If an evolving star moves up the main sequence, steadily growing in
mass, it becomes ever more unstable simply due to the increasing
fraction of pressure held by radiation. When it approaches instability,
it might just collapse, forming a black hole just below the mass
threshold. A proper evolutionary calculation is required to test this.
One could imagine, that such a dark matter core would also help to induce a runaway agglomeration process among stars as well; both run-away agglomeration and degenerate dark matter cores, or even a combination of both, seem feasible.
6 Conclusions
We have derived the mass function of black hole candidates in the centers of galaxies down to
.
At high mass, it is consistent with a straight steep power law, of
slope -2 in the integral mass function. Since all of the black holes
that we have been able to check has been declared a black hole by more
sophisticated measurements, we feel fairly confident, that almost all
the black hole candidates are indeed black holes; the most likely
problem with this identification is below the considered mass range.
We first conclude that this distribution function cannot possibly continue through the gap between about 30 and
,
in agreement with Greene et al. (2006), Maccarone et al. (2007) and Maccarone & Servillat (2008). From relatively high masses, it flattens near
,
giving a contribution to the cosmological density of only
![]() |
(11) |
which is consistent with many other earlier estimates. As in some other analyses, our distribution flattens below
(Benson et al. 2007; Lauer et al. 2007).
As a corollary, we note that Frampton (2009) pointed out that black holes constitute a huge reservoir of entropy. Integrating the mass function to obtain the total entropy, we have found that the entropy is dominated by the most massive black holes, and is quite large. However, allowing for the errors in the exponent, the entropy might be logarithmically evenly distributed among all masses. Therefore, the entropy is almost unaffected by the speculation that the black hole mass function may extend to lower masses, and it is indeed curious that a logarithmically even distribution in entropy be realized in Nature. However, this implies that the summed entropy of all super-massive black holes is a reasonably well defined quantity, a new cosmological parameter, that requires an understanding.
As a second corollary, we note that the early energy input of gravitational waves from the first merging black holes approaches oddly the energy density of dark energy at a very high redshift, of order 50, possible since very massive stars may have formed at even earlier redshift, such as 80 (Biermann & Kusenko 2006).
Second, the energy input from the growth of all these black holes is at the fraction of a percent level of the microwave background, which may mostly be lost in expansion, but some traces should remain. If some of this energy is transferred to magnetic fields, beyond what is given to intergalactic magnetic field from the large-scale gravitational potential wells, the effect on the scattering of ultra high energy particles could be strong. This channeling of energy, however, might present a problem. The fraction of black-hole growth energy going into this channel is constrained to be less than a few percent.
Third and last, just going to a distance of 100 Mpc, or redshift of 0.025, and going to
our results give
black
holes, or on the sky 0.6 per every square degree. There is some
evidence that every super-massive black hole is active at an observable
level in radio emission (Nagar et al. 2005).
Radio emission implies non-thermal particles, and so the speculation,
that each and everyone might contribute also to ultra high energy
cosmic rays, is not immediately discountable. More specific models,
with testable predictions, are required to investigate this
possibility.
Useful and inspiring discussions with R. Beck, J. Becker, S. Britzen, L. Clavelli, T. Enßlin, L. Gergely, Gopal-Krishna, B. Harms, E. van den Heuvel, J. Irwin, P. Joshi, H. Kang, T. Kneiske, P.P. Kronberg, N. Langer, T. Maccarone, S. Portegies-Zwart, J. Rachen, D. Ryu, N. Sanchez, T. Stanev, H. de Vega, and P. Wiita are gratefully acknowledged. We thank the anonymous referee for very useful corrections and comments. Work with PLB was supported by contract AUGER 05 CU 5PD 1/2 via DESY/BMB and by VIHKOS via FZ Karlsruhe; by Erasmus/Sokrates EU-contracts with the universities in Bucharest, Cluj-Napoca, Budapest, Szeged, Cracow, and Ljubljana; by the DFG, the DAAD and the Humboldt Foundation; and by research foundations in Japan, Korea, China, Australia, India, Europe, the USA and Brazil. L.I.C. is partially supported by CNCSIS Contract 539/2009 and CNMP Contract 82077/2008. L.I.C. wishes to express his thanks to the MPIfR for support when finishing this project. This research has made use of the NASA/IPAC Extragalactic Database (NED) which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration. This research also made use of the ViZier system at the Centre de Donneés astronomiques de Strasbourg (CDS) (Ochsenbein et al. 2000).
References
- Abramowicz, M. A., Becker, J. K., Biermann, P. L., et al. 2009, ApJ, 705, 659 [NASA ADS] [CrossRef] [Google Scholar]
- Abubekerov, M. K., Antokhina, E. A., Bogomazov, A. I., & Cherepashchuk, A. M. 2009, Astron. Rep., 53, 232 [NASA ADS] [CrossRef] [Google Scholar]
- Agol, E., & Kamionkowski, M. 2002, MNRAS, 334, 553 [NASA ADS] [CrossRef] [Google Scholar]
- Aller, M. C., & Richstone, D. O. 2007, ApJ, 665, 120 [NASA ADS] [CrossRef] [Google Scholar]
- Appenzeller, I., & Fricke, K. 1972a, A&A, 18, 10 [NASA ADS] [Google Scholar]
- Appenzeller, I., & Fricke, K. 1972b, A&A, 21, 285 [NASA ADS] [Google Scholar]
- Barth, A. J., Ho, L. C., Rutledge, R. E., & Sargent, W. L. W. 2004, ApJ, 607, 90 [NASA ADS] [CrossRef] [Google Scholar]
- Barth, A. J., Greene, J. E., & Ho, L. C. 2005, ApJ, 619, L151 [NASA ADS] [CrossRef] [Google Scholar]
- Barth, A. J., Bentz, M. C., Greene, J. E., & Ho, L. C. 2008a, ApJ, 683, L119 [NASA ADS] [CrossRef] [Google Scholar]
- Barth, A. J., Greene, J. E., & Ho, L. C. 2008b, AJ, 136, 1179 [NASA ADS] [CrossRef] [Google Scholar]
- Barth, A. J., Strigari, L. E., Bentz, M. C., Greene, J. E., & Ho, L. C. 2009, ApJ, 690, 1031 [NASA ADS] [CrossRef] [Google Scholar]
- Bartko, H., Martins, F., Fritz, T. K., et al. 2009, ApJ, 697, 1741 [NASA ADS] [CrossRef] [Google Scholar]
- Benson, A. J., Dzanovic, D., Frenk, C. S., & Sharples, R. 2007, MNRAS, 379, 841 [NASA ADS] [CrossRef] [Google Scholar]
- Biermann, P. L., & Frampton, P. H. 2006, Phys. Lett. B, 634, 125 [NASA ADS] [CrossRef] [Google Scholar]
- Biermann, P. L., & Kusenko, A. 2006, Phys. Rev. Lett., 96, 091301 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Binney, J., & Tremaine, S. 1987, Galactic dynamics [Google Scholar]
- Blandford, R. D., & Znajek, R. L. 1977, MNRAS, 179, 433 [NASA ADS] [CrossRef] [Google Scholar]
- Breitschwerdt, D. 2008, Nature, 452, 826 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Caramete, L. I., & Biermann, P. L. 2010, in preparation [Google Scholar]
- Casella, P., Ponti, G., Patruno, A., et al. 2008, MNRAS, 387, 1707 [NASA ADS] [CrossRef] [Google Scholar]
- Chandrasekhar, S. 1942, Principles of stellar dynamics [Google Scholar]
- Clark, J. S., Goodwin, S. P., Crowther, P. A., et al. 2002, A&A, 392, 909 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Clavelli, L. 2006, High Energy Density Physics, 2, 97 [NASA ADS] [CrossRef] [Google Scholar]
- Côté, P., Piatek, S., Ferrarese, L., et al. 2006, ApJS, 165, 57 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
- de Vega, H. J., & Sanchez, N. G. 2009, preprint [arXiv:0907.0006] [Google Scholar]
- Enßlin, T. A., Wang, Y., Nath, B. B., & Biermann, P. L. 1998, A&A, 333, L47 [NASA ADS] [Google Scholar]
- Everett, J. E., Zweibel, E. G., Benjamin, R. A., et al. 2008, ApJ, 674, 258 [NASA ADS] [CrossRef] [Google Scholar]
- Faber, S. M., Tremaine, S., Ajhar, E. A., et al. 1997, AJ, 114, 1771 [NASA ADS] [CrossRef] [Google Scholar]
- Falcke, H., & Biermann, P. L. 1995, A&A, 293, 665 [NASA ADS] [Google Scholar]
- Farrell, S. A., Webb, N. A., Barret, D., Godet, O., & Rodrigues, J. M. 2009, Nature, 460, 73 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Frampton, P. H. 2009, preprint [arXiv:0905.2535] [Google Scholar]
- Gebhardt, K., Rich, R. M., & Ho, L. C. 2005, ApJ, 634, 1093 [Google Scholar]
- Gergely, L. Á., & Biermann, P. L. 2009, ApJ, 697, 1621 [Google Scholar]
- Gilmore, G., Wilkinson, M. I., Wyse, R. F. G., et al. 2007, ApJ, 663, 948 [NASA ADS] [CrossRef] [Google Scholar]
- Gopal-Krishna, & Wiita, P. J. 2001, ApJ, 560, L115 [NASA ADS] [CrossRef] [Google Scholar]
- Greene, J. E., & Ho, L. C. 2007a, ApJ, 670, 92 [NASA ADS] [CrossRef] [Google Scholar]
- Greene, J. E., & Ho, L. C. 2007b, in The Central Engine of Active Galactic Nuclei, ed. L. C. Ho, & J.-W. Wang, ASP Conf. Ser., 373, 33 [Google Scholar]
- Greene, J. E., Barth, A. J., & Ho, L. C. 2006, New Astron. Rev., 50, 739 [NASA ADS] [CrossRef] [Google Scholar]
- Greene, J. E., Ho, L. C., & Barth, A. J. 2008, ApJ, 688, 159 [NASA ADS] [CrossRef] [Google Scholar]
- Häring, N., & Rix, H.-W. 2004, ApJ, 604, L89 [NASA ADS] [CrossRef] [Google Scholar]
- Heger, A., Fryer, C. L., Woosley, S. E., Langer, N., & Hartmann, D. H. 2003, ApJ, 591, 288 [NASA ADS] [CrossRef] [Google Scholar]
- Irwin, J., Bregman, J., & Brink, T. 2009, in BAAS, 41, B, 310 [Google Scholar]
- Joshi, P. S. 2007, Pramana, 69, 119 [NASA ADS] [CrossRef] [Google Scholar]
- Komatsu, E., Dunkley, J., Nolta, M. R., et al. 2009, ApJS, 180, 330 [NASA ADS] [CrossRef] [Google Scholar]
- Körding, E., Falcke, H., & Markoff, S. 2002, A&A, 382, L13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Kravtsov, A. V., Klypin, A. A., Bullock, J. S., & Primack, J. R. 1998, ApJ, 502, 48 [NASA ADS] [CrossRef] [Google Scholar]
- Kronberg, P. P., Dufton, Q. W., Li, H., & Colgate, S. A. 2001, ApJ, 560, 178 [NASA ADS] [CrossRef] [Google Scholar]
- Lauer, T. R., Faber, S. M., Richstone, D., et al. 2007, ApJ, 662, 808 [NASA ADS] [CrossRef] [Google Scholar]
- Loewenstein, M., Kusenko, A., & Biermann, P. L. 2009, ApJ, 700, 426 [NASA ADS] [CrossRef] [Google Scholar]
- Lüst, R. 1952, Zeitschr. f. Naturf., 87 [Google Scholar]
- Maccarone, T., & Koerding, E. 2006, Astron. Geophys., 47, 060000 [CrossRef] [Google Scholar]
- Maccarone, T. J., & Servillat, M. 2008, MNRAS, 389, 379 [NASA ADS] [CrossRef] [Google Scholar]
- Maccarone, T. J., Kundu, A., Zepf, S. E., & Rhode, K. L. 2007, Nature, 445, 183 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Magorrian, J., Tremaine, S., Richstone, D., et al. 1998, AJ, 115, 2285 [NASA ADS] [CrossRef] [Google Scholar]
- Marochnik, L., Usikov, D., & Vereshkov, G. 2008, preprint [arXiv:0811.4484] [Google Scholar]
- McMillan, S. L. W., & Portegies Zwart, S. F. 2007, in Massive Stars in Interactive Binaries, ed. N. St.-Louis, & A. F. J. Moffat, ASP Conf. Ser., 367, 697 [Google Scholar]
- Moore, B., Governato, F., Quinn, T., Stadel, J., & Lake, G. 1998, ApJ, 499, L5 [NASA ADS] [CrossRef] [Google Scholar]
- Munyaneza, F., & Biermann, P. L. 2005, A&A, 436, 805 [Google Scholar]
- Munyaneza, F., & Biermann, P. L. 2006, A&A, 458, L9 [Google Scholar]
- Nagar, N. M., Falcke, H., & Wilson, A. S. 2005, A&A, 435, 521 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Navarro, J. F., Frenk, C. S., & White, S. D. M. 1997, ApJ, 490, 493 [NASA ADS] [CrossRef] [Google Scholar]
- Novikov, I. D., & Thorne, K. S. 1973, in Black Holes (Les Astres Occlus), 343 [Google Scholar]
- Orosz, J. A., McClintock, J. E., Narayan, R., et al. 2007, Nature, 449, 872 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Patruno, A., Portegies Zwart, S., Dewi, J., & Hopman, C. 2006, MNRAS, 370, L6 [NASA ADS] [Google Scholar]
- Perets, H. B., & Alexander, T. 2008, ApJ, 677, 146 [NASA ADS] [CrossRef] [Google Scholar]
- Portegies Zwart, S. F., Baumgardt, H., Hut, P., Makino, J., & McMillan, S. L. W. 2004, Nature, 428, 724 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Ryu, D., Kang, H., Cho, J., & Das, S. 2008, Science, 320, 909 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
- Sanders, R. H. 1970, ApJ, 162, 791 [NASA ADS] [CrossRef] [Google Scholar]
- Schechter, P. 1976, ApJ, 203, 297 [Google Scholar]
- Shakura, N. I., & Sunyaev, R. A. 1973, A&A, 24, 337 [NASA ADS] [Google Scholar]
- Shaposhnikov, M. 2007, ArXiv Astrophysics e-prints [Google Scholar]
- Silk, J., & Takahashi, T. 1979, ApJ, 229, 242 [NASA ADS] [CrossRef] [Google Scholar]
- Silk, J., & Rees, M. J. 1998, A&A, 331, L1 [NASA ADS] [Google Scholar]
- Silverman, J. M., & Filippenko, A. V. 2008, ApJ, 678, L17 [NASA ADS] [CrossRef] [Google Scholar]
- Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [NASA ADS] [CrossRef] [Google Scholar]
- Spitzer, L. 1962, Physics of Fully Ionized Gases [Google Scholar]
- Spitzer, L. 1987, Dynamical evolution of globular clusters [Google Scholar]
- Stasielak, J., Biermann, P. L., & Kusenko, A. 2007, ApJ, 654, 290 [NASA ADS] [CrossRef] [Google Scholar]
- Tremaine, S., Gebhardt, K., Bender, R., et al. 2002, ApJ, 574, 740 [NASA ADS] [CrossRef] [Google Scholar]
- Trudolyubov, S., & Priedhorsky, W. 2004, ApJ, 616, 821 [NASA ADS] [CrossRef] [Google Scholar]
- Ulvestad, J. S., Greene, J. E., & Ho, L. C. 2007, ApJ, 661, L151 [NASA ADS] [CrossRef] [Google Scholar]
- van der Wel, A., Franx, M., van Dokkum, P. G., et al. 2006, ApJ, 636, L21 [NASA ADS] [CrossRef] [Google Scholar]
- van Kerkwijk, M. H., Geballe, T. R., King, D. L., van der Klis, M., & van Paradijs, J. 1996, A&A, 314, 521 [NASA ADS] [Google Scholar]
- Wang, Y., & Biermann, P. L. 1998, A&A, 334, 87 [NASA ADS] [Google Scholar]
- Yungelson, L. R., van den Heuvel, E. P. J., Vink, J. S., Portegies Zwart, S. F., & de Koter, A. 2008, A&A, 477, 223 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
Footnotes
- ...
- Member of the International Max Planck Research School (IMPRS) for Astronomy and Astrophysics at the Universities of Bonn and Cologne.
- ... Steer
- http://nedwww.ipac.caltech.edu/level5/NED1D/intro.html
All Tables
Table 1: The number of galaxies of different type for each selection.
All Figures
![]() |
Figure 1: This is the correction factor required to obtain the black hole mass from the 2 micron emission of the old stellar population, as a function of Hubble type, relative to elliptical galaxies. |
Open with DEXTER | |
In the text |
![]() |
Figure 2: Histogram of the calculated black hole masses for the sample of black holes obtained from the literature. |
Open with DEXTER | |
In the text |
![]() |
Figure 3: Plot of mass over redshift for the massive black hole catalog with the selection curve for elliptical galaxies. This also shows the stepwise selection procedure with the two most extreme cases of the lowest mass and the highest redshift. |
Open with DEXTER | |
In the text |
![]() |
Figure 4:
Integral luminosity function corrected for Hubble-type
sampling, 2928 objects selected in K-band, the parameters of the
Schechter function fit are
|
Open with DEXTER | |
In the text |
![]() |
Figure 5:
Integral mass function corrected for Hubble type sampling,
2928 objects, the slope of the lines is: thick line -2.0 fitting >
|
Open with DEXTER | |
In the text |
![]() |
Figure 6:
Histogram of the black hole candidates, corrected for Hubble
type sampling, Hubble type correction, cut in BH mass at
|
Open with DEXTER | |
In the text |
Copyright ESO 2010
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.