Issue 
A&A
Volume 521, October 2010



Article Number  A85  
Number of page(s)  16  
Section  Galactic structure, stellar clusters, and populations  
DOI  https://doi.org/10.1051/00046361/201014827  
Published online  25 October 2010 
The gravitational wave signal from diverse populations of double white dwarf binaries in the Galaxy
S. Yu  C. S. Jeffery
Armagh Observatory, College Hill, Armagh,
BT61 9DG, Northern Ireland, UK
Received 20 April 2010 / Accepted 19 July
2010
Abstract
Context. The gravitational wave (GW) background in
the range 0.0130 mHz has been assumed to be dominated by
unresolved radiation from double white dwarf binaries (DWDs). Recent
investigations indicate that, at short periods, a number of DWDs should
be resolvable sources of GW.
Aims. We characterize the GW signal which
would be detected by LISA from DWDs in the Galaxy.
Methods. We have constructed a Galactic model in
which we consider distinct contributions from the bulge, thin disc,
thick disc, and halo, and subsequently executed a population synthesis
approach to determine the birth rates, numbers, and period
distributions of DWDs within each component.
Results. In the Galaxy as a whole, our model
predicts the current birth rate of DWDs to be yr^{1},
the local density to be
and the total number to be .
Assuming SNIa are formed from the merger of two CO white dwarfs, the
SNIa rate should be 0.0013 yr^{1}. The
frequency spectra of DWD strain amplitude and number distribution are
presented as a function of galactic component, DWD type, formation
channel, and metallicity.
Conclusions. We confirm that CO+He and He+He white
dwarf (WD) pairs should dominate the GW signal at very high
frequencies (
),
while CO+CO and ONeMg WD pairs have a dominant contribution at .
Formation channels involving two commonenvelope (CE) phases or a
stable Roche lobe overflow phase followed by a CE phase
dominate the production of DWDs detectable by LISA at .
DWDs with the shortest orbital periods will come from the
CE+CE channel. The Exposed Core plus CE channel is a
minor channel. A number of resolved DWDs would be detected, making up
0.012% of the total number of DWDs in the Galaxy. The majority of these
would be CO+He and He+He pairs formed through the CE+CE channel.
Key words: gravitational waves  binaries: close  white dwarfs  Galaxy: structure  galaxies: stellar content
1 Introduction
Substantial efforts have been made to measure gravitational waves that, according to Einstein, should permeate the whole Universe (Press & Thorne 1972; Tyson & Giffard 1978). Today, four major groundbased detectors are in operation (LIGO, VIRGO, GEO600, and TAMA300), but no direct evidence for the existence of gravitational waves (GW) has been established.
Following the proposed launch of LISA (Laser Interferometer Space Antennae), it is anticipated that the most easily detected waves will originate from close compact binary stars. In addition to providing a direct test of general relativity, the observations of GW from such systems will contribute to understanding close binary star evolution, the distribution of Xray sources, ray bursts and supernovae explosions, and may also improve knowledge of galactic structure.
As a result of recent and current surveys, increasing numbers of candidate compact binaries are being found, including double neutron stars (NS) and double whitedwarf (DWD) systems. AM CVn variables are thought to be semidetached ultracompact binary stars systems in which a white dwarf accretes from a degenerate (or semidegenerate) companion with an orbital period of less than 80 min. Currently the number of known AM CVn systems is approximately 20 (Roelofs et al. 2007; Ramsay et al. 2007), while those of detached DWD and NS systems with known orbital periods are 24 and 8 respectively.
Theoretical studies of the dominant GW signal in the Galaxy have been pursued for several decades. Mironovskii (1966) calculated the spectral density and total flux due to GW from W UMa binaries and predicted a very low flux with a spectrum peaked at a period of about 0.17 d (0.07 mHz) (A and Wtype W UMa binaries have orbital periods in the range 0.40.8 d and 0.220.4 d, respectively). Subsequently Evans et al. (1987) demonstrated that degenerate dwarf binaries should be detectable sources of gravitational waves. More recent work indicates that DWD binaries are crucial GW sources in the 0.1100 mHz range (Nelemans et al. 2001b; Willems et al. 2007; Farmer & Phinney 2003; Nelemans et al. 2004; Hils et al. 1990; Hils & Bender 2000). The results of Ruiter et al. (2009) show the halo signal would have a negligible effect on the detection of LISA sources in comparison with that of the disc and bulge.
Such population synthesis models are sensitive to the adopted inputs, including the fast stellar evolution models, the Galactic model, including mass and metallicity distribution, initial mass function, and star formation rate, and various parameters governing binary star evolution, such as mass loss and exchange in binary stars. It is important to ensure that previous results are robust by reproducing them in independent calculations, and to identify the major areas of uncertainty in these models. It is also important to validate a new code by testing it against established benchmarks, before using it to explore new physics. This paper addresses both of these functions.
To discuss the GW background due to a population of galactic DWDs, we have executed a simulation based on a population synthesis approach for DD binaries which uses a multicomponent model of the Galaxy. We do not include the contribution of DD's containing an NS or black hole (BH) since the formation and evolution of these await further theoretical and observational constraint. Other parameters of our stellar evolution model are taken from the best model of Han (1998).
In addition to the GW signal, our model provides an estimate of the current birth rate, total numbers and properties (e.g. the primary mass and orbital period) of DWDs which may be compared with observation.
In Sect. 2 we describe the model for generating a GW signal from a binary, the stellar evolution model for generating a population of compact binaries, and the model for generating their galactic distribution. In Sect. 3, we show the main results from these models in terms of the overall Galactic GW signal, and in terms of the contribution from various components of the DWD population. Section 4 compares these results with previous work, and conclusions are drawn in Sect. 5.
2 Simulations
2.1 The GW signal from a binary star
The power of the GW radiated from two point masses in the nth
harmonic is given by
where G is Newton's gravitational constant, c is the speed of light, a is their orbital separation, e is the eccentricity of the orbit, M and are the total and reduced masses of the system, and g(n,e) is a coefficient expressing the relative power in each harmonic and is given by Peters & Mathews (1963). If m_{1} and m_{2} are the masses of the components, then
(2) 
The GW energy flux density incident on the Earth is
where d is the distance, h_{+} and are dimensionless functions for the amplitude of the wave in two orthogonal polarizations, and dots denote time derivatives (Evans et al. 1987; Press & Thorne 1972; Isaacson 1968). Assuming a binary system in a circular orbit of period at a distance d, h_{+}and are given by
where is the frequency of the emitted GW, and i is the inclination angle ( indicates a binary which is viewed edgeon) (Landau & Lifshitz 1975).
The socalled strain amplitude h,
defined as
,
describes the
strength of the signal to be measured by GW detectors. From
Eqs. (3)(5), we obtain
(Nelemans et al. 2001b; Douglass & Braginsky 1979). So from Eqs. (1), (6), and Kepler's law , we can write h(n,e) in the nth harmonic as
Equation (7) gives the strain amplitude in the nth harmonic with a frequency , and where is the socalled chirp mass. Especially for a circular orbit, i.e. e=0, n=2, we have
2.2 Stellar evolution models
A binary star population synthesis calculation requires the predicted evolution of many thousands of binary stars, only a fraction of which yield systems of interest (Sect. 2.2.6). We have obtained this predicted evolution using the fast binary star evolution (BSE) code described by Hurley et al. (2002,2000) and previously referred to by Han (1998). However, we have modified the code in a number of ways, including several of the approximation formulae and the treatment of the common envelope ejection mechanism. This section describes these changes, including the approximations used to simulate changes in mass and angular momentum due to the interaction of binary star components.
2.2.1 Commonenvelope (CE) evolution
RLOF occurs in binary systems when one star fills its Roche lobe
either by evolutionary expansion or by orbital shrinkage. The Roche
radius of the primary is given by
where a is more generally the semimajor axis of the orbit and q_{1,2}=m_{1,2}/m_{2,1} (Eggleton 1983). Studies of the critical value for stable RLOF have shown that is a function of primary mass m_{1}, its core mass , and masstransfer efficiency of the donor. We adopt
(10) 
where x = 0.3 is the exponent of the massradius relation at constant luminosity for giant stars (Hurley et al. 2002,2000).
The calculation of the properties (e.g. orbital separation) of
a binary after CE ejection in our model is based on the
variation of angular
momentum (mechanism).
In the case of nonconservative mass
transfer, the angular momentum loss of a binary system would be
described by the decrease of primary mass times a
factor
(Paczynski
& Ziókowski 1967; Nelemans et al. 2000):
where is the orbital angular momentum of the premass transfer binary, and is the final orbital angular momentum after CE ejection. If initial and final orbits are assumed circular, the fraction of angular momentum lost during the mass transfer, , becomes
where and are the circular frequency of the binary before and after CE ejection. Combining (11) and (12) with Kepler's law, we have the ratio of final to initial orbital separation
(13) 
Nelemans & Tout (2005) investigated the masstransfer phase of the progenitors of white dwarfs in binaries employing the mechanism based on 10 observed systems and suggested the value of in the range of . We here adopt , following the recommendation by Nelemans et al. (2000).
In order to eject a binary star common envelope, conservation
of energy requires that the envelope binding energy, including
gravitational binding and recombination energies, must be equal to the
orbital energy (Webbink
2008,1984).
The ratio of final to initial orbital separation can be expressed as
=  
(14) 
where the coefficients are given by Webbink (2008).
Both CE ejection mechanisms can reproduce observations (Webbink 2008; Nelemans et al. 2000; Nelemans & Tout 2005). We here adopt the algorithm in order to reduce the number of free parameters in the model.
We note that there is a major difference between the  and algorithms. In both, the first CE phase can lead to the production of a lowmass binary with . However, the algorithm requires a significant spiralin stage in order to eject the envelope whilst the mechanism does not, implying that the orbital separation can be larger after CE ejection in the latter case (Webbink 2008; Nelemans et al. 2000).
2.2.2 Stellar wind and accretion
We assume that the existence of a close companion will increase the
rate of massloss ()
due to a stellar wind from a star in a
binary system. The tidal enhancement of
is modelled by
Reimers (1975) formula with
an extra tidal term by
Tout & Eggleton (1988):
where r_{1}, l_{1} and m_{1} are stellar radius, luminosity and mass in solar units, respectively. We take B=1000(Han 1998).
Some of the mass lost in the wind may be accreted by the
companion.
The classical accretion rate formula is given by Bondi
& Hoyle (1944),
and the mean accretion rate (Boffin
& Jorissen 1988) is
(16) 
where is an arbitrary parameter ( , Boffin et al. 1993), is the wind velocity, , and is the orbital velocity. Here, we adopt . The angular momentum of a star will change if the star loses or gains mass. We assume that the specific angular momentum in the wind is proportional to the angular velocity at the surface of the masslosing star, and that the wind angular momentum is transferred with 100% efficiency (Hurley et al. 2002).
2.2.3 Gravitational radiation and magnetic braking
A close compact binary system driven by gravitational radiation would
eventually undergo a mass transfer phase, ultimately leading to
coalescence. The orbital changes due to gravitational radiation from
two point masses are predicted to be (Hurley
et al. 2002):
=  
(17) 
=  
(18) 
Gravitational radiation could explain the formation of cataclysmic variables (CVs) with orbital periods less than 3 h, while magnetic braking of the tidally coupled primary by its own magnetic wind would account for orbital angularmomentum loss from CVs with periods up to 10 h (Faulkner 1971; Zangrilli et al. 1997). We use the formula for the rate of angularmomentum loss due to magnetic braking derived by Rappaport et al. (1983) and Skumanich (1972):
(19) 
where r, and m are the radius, envelope mass and mass of a star with a convective envelope, and is the spin angular velocity of the star.
2.2.4 Tidal interaction
Observations indicate that stellar rotation in a close binary system tends to synchronize with the orbital motion (Levato 1974; Strassmeier 1996). The two tidal dissipation processes, i.e. turbulent dissipation of the equilibrium tide and radiative damping of the dynamical tide, are able to account for the observed orbital circularization of close binary and components rotating in synchronism with orbital motion; see Zahn (2005) for a review. The calculation of tidal interaction in our model follows Hurley et al. (2002) and adopts an equilibrium tide for the stars with a convective envelope (Rasio et al. 1996) and a dynamical tide for the stars with a radiative envelope (Zahn 1977,1975).
In addition, we note that a hydrodynamical mechanism may account for the orbital circularization as it is concomitant with the hydrodynamical spindown of the components both in earlytype and latetype detached close binaries (Tassoul 1988). Since this mechanism would be more effective than the tidal interaction at circularizing the orbit of a binary, we adopt the tidal dissipation as an upper limit to the circularization timescale.
The tidal synchronisation
time is then
(20) 
for a tide raised on a white dwarf secondary of mass m_{2}(Campbell 1984), where r_{2}, l_{2} and q_{2} represent its radius, luminosity and mass ratio respectively. would be a lower limit if tidallyinduced nonradial oscillations were included. The orbit of DWDs should be circularized already, and a circularization timescale is not relevant. However, the synchronization timescale is essential as the companion may be spun up by mass transfer (Hurley et al. 2002).
2.2.5 Mass transfer in compact binaries
As a result of gravitational radiation, mass transfer or direct
merger between two compact binaries is inevitable if the compact
object with lower mass fills its Roche lobe. The analytic
massradius relation for zerotemperature white dwarfs, is
(Nauenberg 1972)
(21) 
where is the mass in terms of the Chandrasekhar mass. Combining with Eq. (9), we deduce an equilibrium mass transfer rate
where is the Eddington luminosity, is the opacity of the accreted gas, assumed here to be due to electron scattering, X is the hydrogen mass fraction, gis the gravitational acceleration, and other coefficients are as given by Han & Webbink (1999). is the time scale for orbital angularmomentum loss due to gravitational radiation (Landau & Lifshitz 1958) with
and C_{1}, C_{2} and as given by Han & Webbink (1999).
For stable mass transfer, Han
& Webbink (1999) give the critical mass ratio
Here, m_{2} is donor. If , the mass transfer becomes dynamically unstable, eventually causing a runaway merger.
Nelemans et al. (2001a) give an alternative value , , using the size of the Roche lobe and the mass transfer rate derived by Paczynski (1967). We adopt the Han & Webbink (1999) approximation.
Finally, we give a formula for the Eddington accretion rate
(Hurley
et al. 2002; Cameron & Mock 1967)
which places a significant limit on the amount of mass accreted by compact objects.
We set this limit only for the accretion of compact objects. However, whether the Eddington limit should be applied or not needs to be further investigated, since the luminosity generated by accretion in excess of this limit might be carried away from the system via a strong wind, or transfered to a disc. SuperEddington accretion rates may be important for the formation of lowmass Xray binaries and millisecond pulsars (Webbink & Kalogera 1997) and also for modeling Xray emission from quasars due to accretion from a disc onto a fast rotating black hole (Beloborodov 1998). Imposing the limit diminishes the birth rate of type Ia supernovae (Livio 2000).
2.2.6 The formation channels for compact binaries
One can find a detailed discussion of the formation channels of compact binaries in Han (1998). We here only summarize the three main evolution channels which produce the majority of compact binaries:
 I:
 stable RLOF + CE ejection;
 II:
 CE ejection + CE ejection;
 III:
 exposed core + CE ejection.
(26) 
where is the masstransfer efficiency for stable Rochelobe overflow (RLOF) (Han et al. 1995). Here, we take (Paczynski & Ziókowski 1967; Refsdal et al. 1974). Subsequently, if the secondary fills its Roche lobe while it is in the Hertzsprung gap or on the red giant branch, then RLOF will occur.
If the adiabatic response of the radius of the mass donor is less than the change of its Roche lobe radius with respect to a change of mass, i.e. , mass transfer will be unstable and a common envelope (CE) will form. Interaction (friction) between the compact cores and the CE will convert orbital energy into kinetic energy, heating and expanding the CE. If the energy conversion mechanism is sufficiently efficient, the CE will be expelled and a compact binary with a short orbital period will result.
Channel II demands that the binary has so that, if the primary fills its Roche lobe while in the Hertzsprung gap or on the red giant branch, unstable mass transfer will lead to the formation of a CE. Similarly, if sufficient orbital energy can be extracted, the CE will be ejected to leave a binary containing a compact object. Following evolution of the secondary away from the main sequence, a second CE could form and be ejected to leave a compact binary.
Channel III represents a variation of channels I and II in which the envelope of a massive primary is removed by a stellar wind rather than a first CE ejection. CE ejection following evolution of the secondary may also give rise to a compact binary.
In summary, CE plus CE represents the major channel. Up to 74% (Han 1998), or 67% in our model (see Table 3), of compact binaries may be generated through this channel depending on the choice of parameters. This may also be the most efficient channel to produce compact binaries with very short orbital periods. The stable RLOF plus CE channel can account for up to 50% of compact binaries (Han 1998), or 30% in our model. Exposed core plus CE is a minor channel which could make a significant contribution when a binary evolves with a strong tidallyenhanced stellar wind. Both the results of Han (1998) and our own show this channel to be negligible for compact binaries with orbital periods shorter than 70 h.
2.3 Galactic structure
A detailed model of the Galaxy is important in order to describe the overall distribution of white dwarf binary systems, including the distance of each from the Sun. It is believed that the current Galaxy mainly comprises the bulge, the thin disc, thick disc and the halo. We summarize our approximation for the Galactic density distribution in Table 1.
Figure 1 shows the distributions of distances to the Earth of compact binaries in the Galaxy and the bulge plus the thin disc. We assume that the position of the sun is kpc and pc (Freudenreich 1998).
 1.
 We adopt a normal density distribution for the spherical
bulge
with a cutoff radius of 3.5 kpc (Nelemans
et al. 2004),
(27)
where r is the radius from the center of the Galaxy, r_{0}= 0.5 kpc is the bulge scale length, and is the mass of bulge (see Sect. 2.4 find the value). Robin et al. (2003) suggest that the structure of the inner bulge (< from the Galactic center) is not yet well constrained observationally. Consequently we here focus on the outer bulge and make no allowance for any additional contribution to the compactbinary population from the central region.  2.
 A more complicated function is involved in the spatial
density
distribution of stars in the disc. Sackett
(1997) proposed a
double exponential distribution. Phleps
et al. (2000) derived three
functions for the star density distribution in their model of a thin
disc plus thick disc (exponential + exponential, hyperbolic secant
+ exponential, and squared hyperbolic secant + exponential,
respectively) from fits to deep star counts carried out in the Calar
Alto Deep Imaging Survey. Robin
et al. (2003) created a complicated function to
construct the structure of the Galactic disc
which is in agreement with Hipparcos results and the observed
rotation curve.
Table 1: Density laws and associated parameters.
Figure 1: The top panel shows the distribution of stars in the R(Galactic plane)z(height) diagram for our Galactic model at age 10 Gyr, using a random sample of 70 000 stars. The lower panel gives the number of DWDs in the Galaxy as a function of galactic radius, using a bin size of 0.1 kpc. The inset panel shows the thick disk and halo distribution. We assume there is no immigration between each Galactic component, i.e. no mass transfer, no angular momentum transfer, no collision.
Open with DEXTER (28)
where R and z are the natural cylindrical coordinates of the axisymmetric disc, and h_{R}=2.5 kpc is the scale length of the disc, h=h_{z} for the thin disc, h=h'_{z} for the thick disc, and is the mass of the thin disc; is the mass of the thick disc (see Sect. 2.4 find the values). is the distribution in z, with:(29)
and(30)
where h_{z}=0.352 kpc is the scale height of the thin disc and h'_{z}=1.158 kpc is the scale height of the thick disc. We neglect the age and mass dependence of the scale height.  3.
 For the halo, we employ a relatively simple density
distribution
which is consistent with Caldwell
& Ostriker (1981) and Robin
et al. (2003)^{}:
(31)
where a is the radius of the halo, and .
2.4 Population synthesis parameters in the Monte Carlo approach
In order to obtain a sample of compact binaries in the Galaxy, we have performed a Monte Carlo simulation in which we need five physical inputs:
 (i)
 we assume that the star formation rate (SFR) in the bulge
and
thin disc is the combination of a main star forming process (the first
item of the following function) and a minor star formation (the
second item of the function),
(32)
where t is time since the halo was formed. Assuming the current age of the Galaxy is 14 Gyr, t_{0}=4 Gyr defines the age of the bulge and thin disc to be 10 Gyr and Gyr yields a current , 1.45 in the bulge and 3.37 in the thin disc, on average. These values are consistent with Smith et al. (1978), Timmes et al. (1997) and Diehl et al. (2006). We assume that SFR(t)=0 in the bulge and thin disc when 0<t<t_{0}.In terms of these assumptions, we infer that the combined mass of thin disc and bulge approaches , slightly higher than the mass of reported by Klypin et al. (2002). Within this mass, the bulge contains and the remaining is in the thin disc.
We suppose a burst of star formation, effectively a function, happened at t = 0 Gyr for the halo, and at t = 3 Gyr for the thick disc (Robin et al. 2003) and no star formation thereafter. We assume that the thick disc and the halo attain baryonic masses of (5% of thin disc) and respectively. These numbers are adopted for simplicity solely to estimate their contribution to the GW signal.
 (ii)
 The initial mass function (IMF) can be constrained by the
local luminosity function, stellar density and potential. We here
adopted the
IMF for the Galactic components based on the results of Robin et al. (2003) and Kroupa et al. (1993)
constrained by the observations of Wielen
et al. (1983), Popper
(1980) and the Hipparcos mission (Creze et al. 1998; Jahreiß
& Wielen 1997).
For the bulge, we suppose an IMF following Robin et al. (2003),
(33)
where m is the primary mass and is the number of stars in the mass interval m to m+dm.For the thin disc, we adopt the IMF of Kroupa et al. (1993)^{} which is similar to that of Miller & Scalo (1979) and Zoccali et al. (2000). The primary mass is generated using the following formula
To the thick disc and the halo, we also apply a simple IMF of power law,
Here, we take for the thick disc and the halo.We have adopted a metallicity Z=0.02 (Population I) for the bulge, thin disc and thick disc, and Z=0.001 for the halo. We have also carried out calculations for the thin disc with metallicity Z=0.001in order to see the effect of metallicity on the GW signal.
 (iii)
 We assume a constant massratio distribution
(Goldberg
& Mazeh 1994; Mazeh et al. 1992),
(36)
 (iv)
 We employ the distribution of initial orbital separations
used
by Han (1998) and Han et al. (2003), where
they assume that all stars are
members of binary systems and that the distribution of separations
is constant in
(a is the separation) for wide binaries
and falls off smoothly at close separations:
where , , pc, . This distribution implies that the number of binary systems per logarithmic interval is constant. In addition, approximately 50 per cent of all systems are binary stars with orbital periods of less than 100 yr.  (v)
 The distribution of eccentricities of binaries follows (Nelemans et al. 2001b).
2.5 Rotation curve and local stellar density
Figure 2: Circular velocity as a function of galactocentric distance R from the Galatic model, showing the contribution due to different components, i.e. the bulge, thin disc + thick disc, and halo including dark matter. The dashed line indicates the observational estimate by Brand & Blitz (1993). The spheroidal component due to the interstellar medium was not considered separately. 

Open with DEXTER 
In order to see the influence of the Galactic model on the rotation curve of the Milky Way, we plotted Fig. 2. We used the MiyamotoNagai potential (Miyamoto & Nagai 1975; Revaz et al. 2009) in cylindrical coordinates for calculating the circular velocity of the bulge and disc components. For the dark matter halo, we adopted the potential of Caldwell & Ostriker (1981). The observational estimate by Brand & Blitz (1993) is included for comparison.
From the Galactic model, the total mass of the halo including dark matter is inside a sphere of radius 50 kpc. In this paper, we only focus on the baryonic mass in the halo which is considered to be . With the SFR adopted here, the baryonic mass in the bulge and disc is at least and respectively, implying that our model requires no dark matter component in the bulge or the thin disc.
Combining the Galactic model and the mass of the Galactic components, the stellar density in the solar neighbourhood is , of which is in the thin disc, is in the thick disc, and is in the halo. This is consistent with the Hipparcos result, (Creze et al. 1998). The local dark matter density in our model is about .
2.6 Procedure
In order to compute birth rates, number densities, space, mass and orbital distribution of DWDs, we have adopted the following procedure. For each Galactic component g (bulge, thin disc, thick disc and halo) having a total mass :
 1.
 calculate a sample distribution of k coeval binaries having a total mass and generated by the four MonteCarlo simulation parameters m, a, q and e;
 2.
 follow the evolution of each primordial binary to establish the properties of n(t') DWDs formed from the original sample, and the number x(t') of DWDs which merge, where t' represents time since formation of each binary;
 3.
 by combining n(t') and x(t') with the star formation rate, compute the birth rate of DWDs ;
 4.
 compute the merger rate of DWDs ;
 5.
 evaluate the total number of DWDs ;
 6.
 for a given t (e.g. 14 Gyr), use a second Monte Carlo procedure to generate the orbital properties and spatial distribution of N(t) Galactic DWDs by interpolation and extrapolation on the n DWDs from the simulation;
 7.
 sort the DWDs by orbital frequency;
 8.
 calculate the total strain amplitude h^{2} from the number and distance of DWDs in each frequency bin.
Table 2: Birth rates, local densities and numbers of DWDs.
Figure 3: Distribution of primary masses (left panel), mass ratio q=m_{2}/m_{1} (right panel) and orbital periods of DWDs in our model. The contour scale to the right of the figure represents the number of systems in each bin. The present DWD population is plotted, but the total number of DWDs ( ) is reduced by a factor of 100. Filled triangles and squares are for known WD+WD systems. The inset in the left panel shows the distribution of primary mass and orbital periods at days. Bin sizes are , . 

Open with DEXTER 
3 Results
3.1 Birth rates, local densities and numbers of DWDs
The results of our simulation are shown in Table 2, where we give the birth and merger rates (number per year), local densities (pc^{3}) and total numbers of DWDs. Figures are given for each component of the Galaxy and for the Galaxy as a whole. Table 2 also shows the numbers detectable if we assume that DWDs continue to be detectable up to 10^{8} yr after their formation (Iben et al. 1997). At the end of Table 2, we show the birthrate for type Ia supernovae = 0.0013 yr^{1}, assuming that all SNe Ia are formed from merging double carbonoxygen (CO) white dwarfs with total mass > (Martin et al. 2006).
The local densities of DWDs in our model are , , and in the thin disc, thick disc, and halo, respectively. The predicted density of halo DWDs is significantly less than the observed density of halo white dwarfs = (Oppenheimer et al. 2001). This could be partially due to the star formation history, as we only have a single star burst of at the formation of the halo. If we assume 10% of halo WDs are in binary systems (Holberg 2009), the observation requires the local density of halo DWDs to be . This would require the baryonic mass in the halo to be , 11% of the total mass of the halo, while the dark matter takes up the remaining 89% of mass of halo.
Table 2 also gives figures for the different thin disc models discussed above. A low metallicity results in a slight increase of the birth rate and number of WD binaries for a given IMF, in line with the results of Han (1998).
Figure 3 shows the distribution of orbital period as a function of primary mass (, left panel) and mass ratio ( q=m_{2}/m_{1}, right panel).
Figure 4: Distribution of the chirp mass and frequency of DWDs. The contour scale to the right of the figure shows the number of systems in each bin. The present DWD population is plotted, but the total number of DWDs ( ) is reduced by a factor of 100. The solid line denotes the boundary for DWDs which will merge within 15 Gyr. The upperright panel shows the distribution of chirp mass at high GW frequency Hz. Bin sizes are , and . 

Open with DEXTER 
3.2 Chirp masses
We plot the number density distribution of DWD chirp masses against
frequency in Fig. 4.
Using
Eq. (23)
and assuming 15 Gyr for
the age of universe, we obtain a relation between chirp mass and a
critical frequency for DWDs with a circular orbit, i.e. e=0.0,
(38) 
Figure 4 shows this relation; DWDs with will merge within 15 Gyr.
We can understand the distribution of chirp mass from the view of stellar evolution. A star only develops a degenerate helium core to become a helium WD either if its main sequence progenitor evolves to the giant branch and loses its hydrogen envelope prior to core helium ignition, or if the hydrogenenvelope is removed during mainsequence evolution so that the star fails to reach the giant branch and evolves directly from either the main sequence or the Hertzsprung gap to the He WD cooling track. The mass of the He WD will be , depending somewhat on metallicity.
If the mass of the He core is , core helium burning will be ignited. Following corehelium exhaustion, the star will evolve to become a degenerate carbonoxygen (CO) or oxygenneonmagnesium (ONeMg) WD with mass in the range of following an asymptotic giant branch, naked helium giant or hot subdwarf phase, depending on the chemical composition and mass of the progenitor.
With the population synthesis parameters adopted here, Fig. 4 shows a principal ridge in chirp mass at . Figure 6 demonstrates that this ridge corresponds to the He+He DWDs and represents the largest population of DWDs in our model. A smaller and broader ridge is located at and corresponds to the CO+CO DWDs (Fig. 6). CO+He DWDs have a range of chirp masses intermediate between the He+He and CO+CO DWS (Fig. 6), making the chirpmass distribution in Fig. 4 appear relatively continuous.
Figure 5: The number of DWDs per frequency bin ( right panel) and their GW signal ( left panel). In the left panel, represents the strain amplitude. Colored dashed lines indicate the expected LISA sensitivity for a S/N = 1 ( lower) or 5 ( upper). The bin size . 

Open with DEXTER 
3.3 The total GW amplitude spectrum from DWDs and comparison with LISA
In order to synthesize the amplitude spectrum for DWDs, we choose a LISA integration time s (1 yr), so that the frequency resolution , which we adopt for the size of the frequency bin. Hereafter, GW frequencies f are given in Hz, unless otherwise stated.
Some frequency bins in the highfrequency domain will contain an individual source if the bin is small enough, arising from a rapid decrease in the number of Galactic binaries towards shorter periods. These are the socalled resolved sources. Evans et al. (1987) discussed the relation between the detector bandwidth and integration time T. They plotted the amplitude of DWDs with integrations times of 10^{6} s and 10^{8} s, and found that all binaries with a frequency above 3 mHz should be resolved if the integration time is >10^{8} s.
Figure 5 illustrates the predicted total number of DWDs per frequency bin (right panel) and the GW signal (left) these DWDs would produce. Some bins in the range only contain a single system (Resolved DWDs), making up 0.012% (33670, Table 2) of the total number of DWDs.
LISA is designed to be a spacebased GW detector,
consisting of 3 satellites flying in formation to
form a Michelson interferometer with an arm length of km.
Noise arises mainly from the laser tracking system (position noise) and
parasitic forces on the proof mass of an accelerometer (acceleration
noise) (Larson et al. 2000).
We can convert the noise signal to an equivalent GW signal in
frequency space by
(39) 
where is the total strain noise spectral density, is the root spectral density and R is the GW transfer function given by Larson et al. (2000).
For a continuous monochromatic source, such as a DWD with a
circular orbit, which is observed over a time T,
the root spectral density will appear in a Fourier spectrum as a single
spectral line in the form (Larson
et al. 2000)
(40) 
So, for an observation time T = 1 yr, the root spectral density .
To demonstrate the detectability of the predicted GW signals due to DWDs, Figs. 59 show the expected LISA sensitivity for S/N=1 and 5.
Figure 6: The GW signal due to different types of DWD. represents the strain amplitude (left panel). The number distribution is shown in the middle panel. The right panel illustrates the distribution of chirp mass due to different DWD types, normalized by the total number ( ) of DWDs in the Galaxy (bin size ). The LISA sensitivity and frequency bins are as in Fig. 5. 

Open with DEXTER 
Figure 7: The GW signal due to DWDs from different formation channels. The left panel presents the strain amplitudes. The number distribution is shown in the right. The LISA sensitivity and frequency bins are as in Fig. 5. Note that the exposed core + CE channel is a very minor channel (<) and has almost no influence on the GW signal at frequencies ( h). 

Open with DEXTER 
3.4 The GW signal from various DWD types and channels
Figure 6 shows the contribution to the GW signal from different types of DWD in our model, including those containing two helium WDs (He+He), a carbonoxygen WD and a helium WD (CO+He), and two CO WDs (CO+CO). DWDs containing at least one ONeMg white dwarf are designated ``ONeMg''.
Figure 6 shows that CO+CO and ONeMg DWDs have a stronger total strain amplitude for ( h), up to almost 0.6 dex higher than that of He+He and CO+He DWDs, despite being less numerous. Since the strain amplitude for a single DWD of given frequency is proportional to (Eq. (7)), the larger chirp masses of the CO+CO and ONeMg DWDs dominate the numerical superiority of the He+He DWDs.
CO+CO and ONeMg DWDs are formed in more massive progenitor binaries than He+He and CO+He DWD progenitors. Such binaries undergo RLOF or CE ejection when the stars are physically larger, and hence are in longer period systems and less likely to form shortperiod DWDs. Consequently the slope of the numberfrequency distribution for CO+CO and ONeMg DWDs is steeper than for lessmassive DWDs, and the nett contribution to the strain amplitude falls away more quickly.
Consequently, for , the signals from all four DWD types converge and then at , the strain amplitude appears to scale roughly as the average chirp mass for the DWD type. The main reason is that the number of systems per frequency bin is here very small and generally 3. The contribution from ONeMg DWDs remains highest because of the chirpmass effect. However, our model predicts negligibly few ONeMg DWDs at , and negligibly few CO+CO DWDs at ( min), so these contributions vanish at these frequencies.
Figure 6 shows that CO+He DWDs are the dominant GW source at very high frequency ( ). This may be understood as a consequence of evolutionary age. In general, ONeMg DWDs and CO+CO DWDs correspond to larger progenitor masses and hence a smaller number of progenitors, faster evolution and a lower detection probability. On the other hand, He WDs have larger radii, so He+He DWDs tend to merge more quickly after a double CE phase.
Figure 7 compares the contribution of different DWD formation channels. The stable RLOF+CE and CE+CE channels dominate the production of DWDs, with the CE+CE channel generating 66.7% of all DWDs and dominating the GW signal at all frequencies except in the range where the contribution from the RLOF+CE and CE+CE channels may be comparable. The exposed core + CE channel is a very minor channel (<) and has almost no influence on the GW signal at frequencies ( h) in our current model, but this would depend on a tidally enhanced stellar wind as discussed by Han (1998) (see also Sect. 2.2.6).
Table 3: Birth rates of DWDs with various types and different formation channels.
Figure 7 also shows that the highestfrequency DWDs come exclusively from the double CE channel. This channel is expected to be the most important channel for close DWDs because a deep spiralin phase is necessary to release sufficient orbital energy to eject a common envelope, finally leading to the formation of a very close binary.In Table 3, we list the total numbers and relative contributions of various types of DWD and evolutionary channels, as well as their current birth rate and the potential number of resolved systems. We find that CO+He and He+He DWDs would be the most significant GW sources at ( min), at which frequency resolved sources emerge from our sample. We however cannot neglect the population ``ONeMg'' as they also have a considerable resolved number. CE+CE is the dominant formation channel for resolved DWDs, producing 3.8 times more systems than the stable RLOF+CE channel.
Figure 8: The GW signal due to DWDs from different populations (see key). The black dashed lines denote the relation of amplitude and frequency from Eq. (41) at chirp masses 0.12, 0.22, 0.32, 0.42, 0.52, 0.62, 0.72 and 0.82 (from bottom). The LISA sensitivity and frequency bins are as in Fig. 5. 

Open with DEXTER 
3.5 The GW signal from various Galactic populations
Figure 8 shows the GW amplitude (right panel) and the number of DWDs per frequency bin (left panel) due to each component of the Galaxy, including bulge, thin disc, thick disc and halo. This figure demonstrates that DWDs in the thin disc and bulge generate a strong strain amplitude which should be observable by LISA. DWDs in the halo and thick disc might make a substantially smaller contribution to the GW amplitude and only at . These DWDs will not contribute to the LISA background.
Figure 8 shows that the main difference in the GW signal between different populations is at very high frequencies. At lower GW frequencies the discrepancy is principally caused by the number of DWDs. At very high frequency, the GW signal strongly depends on the star formation history. We note that apersistent quasiexponential SFR was applied to the bulge and thin disc, but only a single star burst was applied at the beginning of the thick disc and halo. Figure 8 also shows that there is only a slight difference between the signal from the bulge and thin disc, despite having a differnt IMF and spatial distribution.
Figures 1
and 8
show that distance has a only small effect on the DWD signal at high
frequency. Therefore, if we assume kpc,
take logarithms of Eq. (8),
and combine
with the relation between orbital period and GW frequency (
:
circular orbits), we obtain
We plot this relation in Fig. 8 as black dashed lines, which demonstrates the effect of chirp mass on GW amplitude. Thus at high frequency, where individual DWDs can be resolved, chirp mass will strongly influence the strength of the GW signal. It will be used to compare our results with others in Sect. 4.
3.6 The effect of metallicity
There is a large number of parameters in our model for synthesizing the evolution of large numbers of stars and, since every synthesis takes a large amount of computing time, too many to explore individually in this paper. However, by far the most important parameter in any stellar evolution model, after mass, is metallicity. This will therefore be a crucial factor in determining the properties of the DWD population (Han 1998; Pols et al. 1998; Hurley et al. 2000).
In order to show the influence of metallicity on the GW signal, we performed an additional computation for the thin disc using identical model parameters except for the metallicity. We have compared metallicities Z=0.02 and 0.001.
Figure 9 demonstrates that the shape of the GW spectrum is slightly affected by metallicity at low frequency, but is not much affected at high frequency. A lower metallicity increases both the total number of DWDs, and the number of resolved DWDs. In our thin disc model, these numbers are and 18 870 (22 670) for Z=0.02 (0.001), respectively.
The difference in the shape of the spectrum arises because at lower metallicities, asymptoticgiant branch stars are able to develop more massive cores, and also achieve higher luminosities and larger radii. This leads to a greater number of more massive WDs in longer initial period orbits, and also to more DWDs surviving.
Figure 9: The GW signal obtained for different thin disc models. The red line is for Z=0.02, green for Z=0.001. The LISA sensitivity and frequency bins are as in Fig. 5. 

Open with DEXTER 
3.7 Detached, semidetached and merged DWDs
Following formation of a DWD, evolution under the influence of GW may follow one of several paths:
 1.
 if the initial binary is too wide, it will not merge within a Hubble time or equivalent; we adopt 10 Gyr. Considering only the thin disc DWDs (Table 2) this fraction represents some 94% (or ) of the total;
 2.
 of the remaining 6% that will evolve into contact within 10 Gyr, the majority, 95% or DWDs are formed with and will merge;
 3.
 the remainder, having will undergo stable Roche lobe overflow. This will decrease their mass ratios further, their orbits will widen, and the systems will only stay in contact by further GW radiation. These correspond to some of the AM CVn systems^{}. Their number is of those that evolve into contact, or DWDs, or of all DWDs formed in the thin disc^{}.
3.8 Resolved sources of GW radiation
Evans et al. (1987) suggested that degenerate dwarf binaries would be promising sources of GW and pointed out that the detection of GW is related to the integration time. By computing a large number of DWDs, Nelemans et al. (2001b) concluded that wide DWDs dominate the GW signal at , and that AM CVn systems could be resolved at , but would produce a lower signal due to their small number. Subsequently, Nelemans et al. (2004) showed that AM CVn systems would be good candidates for LISA and that 11 000 AM CVn systems could be resolved. By ``resolved'', we mean that, over a certain observation time T, a frequency bin ( ) contains only one binary.
In general, our methods and results are similar. One difference is that, by including their contribution, we confirm that DWDs from the halo and thick disk would make little contribution to the LISA signal. A second difference is that, by adopting a different IMF, star formation rate and total mass for the bulge and the thin disc, we obtain an increase in the total number of compact DWDs at high frequencies, so that the number of resolved sources increases slightly.
Our results confirm that all DWDs with frequency would be resolved with a LISA integration time equal to 1 yr. In Sect. 3.3, we noted that resolved systems with would account for 0.012% of the total number of DWDs, of which 29% will become semidetached. These numbers agree reasonably with previous results, although Nelemans et al. (2001b,2004) found to be semidetached.
Section 3.4 points out that most resolved DWDs should have formed from the CE+CE channel and should be dominated by CO+He and He+He DWDs. They should be the most significant resolved sources for LISA due to their number and strain amplitude and would dominate the LISA GW signal at , ( min). It may also be possible to infer their type (CO+He or He+He) from their chirp masses (Eq. (42)) by determining and , possibly from optical observations.
CO+CO and ONeMg DWDs have a stronger strain amplitude at ( h), resulting from their larger chirp masses. For frequencies , the signal from all four types of DWD would overlap.
Table 4: Main parameters and their value in our simulation.
3.9 Error analysis
Modelling stellar populations and hence estimating the numbers, properties and distributions of stars in the Galaxy is subject to several sources of error (or uncertainty). These may naïvely be divided into statistical errors arising from the implementation of the Monte Carlo process, and systematic errors arising from choices made for the model parameters (of which over thirty may be identified in Sect. 2; principal values are indicated in Table 4).
The Monte Carlo procedures involve two stages, the first of which creates a sample of DWDs in the thin disc for example, on which subsequent samples are interpolated. Assuming Poisson statistics, the error () in this first number is or . This represents a lower limit on the error in subsequent quantities, including total birth rates, merger rates and numbers of DWDs. The statistical error on the number distributions and strain amplitude spectra will be at least as large as this, increasing as towards higher frequencies.
In order to investigate some of the systematic errors, we have carried out reduced simulations for the thin disc population with an initial sample of 10^{5} binaries and by varying each of the five most important parameters (Table 5). Whilst we omit other parameters from this exploration (B, for example) to save computation time, their systematics have been discussed by others (Han 1998).
Systematic errors can be estimated by considering the gradient of the birthrate with respect to a model parameter p, and multiplying by an expectation value for the uncertainty in p. Considering , metallicity (here expressed as ), age t, IMF, and SFR to be representative of inputs with large uncertainty, fractional errors are indicated in Table 5. To simplify, we have here assumed the disk IMF takes the simpler form and the disk SFR takes the form , so that they may be characterised by and respectively; is constrained by the current SFR. is suggested by comparing Kroupa et al. (1993) with Kroupa (2001), while is taken from the uncertainty in the thin disc mass given by Klypin et al. (2002).
Table 5: Estimated errors in DWD birthrates for the thin disk.
The dominant uncertainties in arise from the metallicity approximation Z=0.02, at least in the thin disc, and the SFR. Again making a naïve approximation that all p are independent, adding the error contributions quadratically gives a total relative error () from these sources .These numbers are also useful for comparing results between different models by substituting the uncertainty with the difference between adopted values .
In our model the Galactic DWD birthrate (Table 2). Han (1998) found a similar value ( ). For the thin disc alone we find the DWD birthrate to be while Nelemans et al. (2001b) obtained . The slight difference between our model and that of Nelemans et al. (2001b) can be understood primarily in terms of the difference and
The birth rate of supernovae Ia (0.0013 yr^{1}) in our model is slightly smaller than that of Han (1998) (0.003 yr^{1}) and Nelemans et al. (2001b) (0.002 yr^{1}), and is probably also a consequence of the IMF and SFR. The fact that we set a limit to the Eddington accretion rate (Eq. (25)) restricts the SN Ia rate (Livio 2000).
Another effect on the birth rate and number arises from tidallyenhanced stellar winds and / or winddriven mass transfer, which is related to a coefficient B (Sect. 2.2.2). Han (1998) finds that the birth rate and number vary slightly with B. We adopt B=1000 following Han (1998), but much larger values might be justified; with B=10 000 (Tout & Hall 1991), the massloss rate could be 150 times larger than the Reimers' rate when the star nearly fills its Roche lobe.
4 Discussion
In addition to work by Nelemans et al. (2001b,2004) already discussed, the question of GW radiation from DWDs and their contribution to the LISA signal has also been addressed by Webbink & Han (1998), Hils & Bender (2000), Hiscock et al. (2000), Willems et al. (2007), Liu (2009) and Ruiter et al. (2009), amongst others.
In our model, the GW strain amplitude from the total Galactic DWD population would be for , and for . The larger strain at lower frequencies is primarily due to the larger number of DWDs per unit frequency.
At , the GW signal from DWDs in the bulge and thin disc combined equals the total Galactic GW signal. The thick disc and halo make no contribution (Fig. 8) because all DWDs that formed in these components that will merge have already done so. At lower frequencies ( ), Ruiter et al. (2009) found that the halo signal at , for example, ) is a factor 10 lower than that of the disc+bulge, where ). They estimated there to be halo white dwarfs with a total mass of in a halo with Z=0.0001 and age 13 Gyr. At , we have , roughly a factor three stronger than Ruiter et al. (2009), but in a halo with Z=0.001 and age 14 Gyr.
Another difference between our model and the model of Ruiter et al. (2009) arises from the chirp masses (cf. Sect. 3.5). Figure 8 shows the strainamplitude relation as a function of chirp masses; since there are only one or two systems in the majority of high frequency bins, it is possible to infer that the chirp masses of most DWDs in our model are greater than . In comparison, the chirp masses of highfrequency DWDs in the model of Ruiter et al. (2009) appear to be less than . The different distribution of chirpmass in the two models may be due to differences in Z and age adopted in each case. Our results more closely resemble those of Nelemans et al. (2001b).
The GW radiation from AM CVn binaries and helium cataclysmic variables was calculated by Hils & Bender (2000), who found that these two populations only provide a slight enhancement on the confusion noise for LISA below 3 mHz and even no increase at higher frequency. Nelemans et al. (2001b) and Webbink & Han (1998) showed a confused background GW signal due to DWDs which is similar to ours at low frequency, but different at high frequency.
Hiscock et al. (2000) found that the background signal from halo WD binaries could be five times stronger than the expected contribution from Galactic disk binaries by assuming that the fraction of WDs in binaries is the same in the halo as in the disk. This suggested the possibility of a GW signal from halo DWDs although probably the assumption overestimated the number of DWDs in halo, which would justify further investigation. Willems et al. (2007) considered GW radiation from eccentric DWDs formed through interactions in globular clusters and found LISA could provide unique dynamical identifications of these systems. This requires further investigation.
Since the change of GW frequency (or orbital period)
can
be measured by electromagnetic observations or LISA, is given by
Hence, for a small number of highfrequency systems likely to be detected by LISA, it will be possible to determine directly. By knowing and P, we can calculate the distance d from Eq. (7), which is vital for constraining the distribution of DWDs and obtaining a better understanding of the structure of the Galaxy.
In this paper, we have not considered the BH in the center of the bulge or lowmass BHs elsewhere in the Galaxy. More attention should be paid to these in future work, as they could greatly interfere with the ability of LISA to detect resolved systems (Nelemans et al. 2001b).
5 Conclusion
A selfconsistent numerical simulation of the gravitational wave signal from the entire population of double white dwarf binaries (DWDs) in the Galaxy has been carried out. We have used a population synthesis approach to follow the stellar evolution, and a comprehensive Galactic model in which we suppose that the Galaxy is composed of a bulge, thin disc, thick disc, and halo. This model demonstrates a significant contribution to the GW signal due to DWDs.
We have discussed the birth rates, local densities and total numbers of DWDs in each fraction of the Galaxy, as well as of supernovae Ia, noting that these are affected by the particular choice of IMF, SFR, metallicity and age adopted in our model (Table 2).
The GW signals from different components of the Galaxy have been computed, as well as the contribution from various types of DWD and from DWDs formed by different formation channels. The corresponding birth rates and numbers have been given (Table 3).
Formation channels CE+CE and stable RLOF+CE play the most important role to produce DWD populations detectable by LISA at ( h). DWDs with the shortest orbital periods in our model come from the CE+CE channel. The Exposed Core+CE channel is an almost negligible channel for the formation of DWDs.
We find that CO+He and He+He white dwarf pairs dominate the GW signal at high frequency ( ), while CO+CO and ONeMg DWDs make the major contribution at .
We find that 33 000
DWDs could be resolved by LISA. Most would have formed through
the CE+CE channel, and the model favours the majority being
CO+He
and He+He DWDs. Groundbased observations might determine which by
measuring their chirp masses.
Note added in proof. During the final review of this paper, an article by Ruiter et al. (2010) was published in the Astrophysical Journal. Whilst addressing similar questions to those discussed here, some of the conclusions are different. In particular, for reasons that have yet to be fully understood, the highfrequency ( ) GW signal in our models is higher.
AcknowledgementsThe Armagh Observatory is supported by a grant from the Northern Ireland Dept. of Culture Arts and Leisure. S.Y. thanks the Leverhulme Trust for support. S.Y. and C.S.J. thank the referee for his/her constructive comments and also thank G. Nelemans and Z. Han for the discussion.
References
 Beloborodov, A. M. 1998, MNRAS, 297, 739 [NASA ADS] [CrossRef] [Google Scholar]
 Boffin, H. M. J., & Jorissen, A. 1988, A&A, 205, 155 [NASA ADS] [Google Scholar]
 Boffin, H. M. J., Cerf, N., & Paulus, G. 1993, A&A, 271, 125 [NASA ADS] [Google Scholar]
 Bondi, H., & Hoyle, F. 1944, MNRAS, 104, 273 [NASA ADS] [CrossRef] [Google Scholar]
 Brand, J., & Blitz, L. 1993, A&A, 275, 67 [NASA ADS] [Google Scholar]
 Caldwell, J. A. R., & Ostriker, J. P. 1981, ApJ, 251, 61 [NASA ADS] [CrossRef] [Google Scholar]
 Cameron, A. G. W., & Mock, M. 1967, Nature, 215, 464 [NASA ADS] [CrossRef] [Google Scholar]
 Campbell, C. G. 1984, MNRAS, 207, 433 [NASA ADS] [Google Scholar]
 Creze, M., Chereul, E., Bienayme, O., & Pichon, C. 1998, A&A, 329, 920 [NASA ADS] [Google Scholar]
 de Vaucouleurs, G. 1953, MNRAS, 113, 134 [NASA ADS] [CrossRef] [Google Scholar]
 de Vaucouleurs, G. 1958, ApJ, 128, 465 [NASA ADS] [CrossRef] [Google Scholar]
 Diehl, R., Halloin, H., Kretschmer, K., et al. 2006, Nature, 439, 45 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Douglass, D. H., & Braginsky, V. B. 1979, in General Relativity: An Einstein centenary survey, ed. S. W. Hawking, & W. Israel, 90 [Google Scholar]
 Eggleton, P. P. 1983, ApJ, 268, 368 [NASA ADS] [CrossRef] [Google Scholar]
 Evans, C. R., Iben, I. J., & Smarr, L. 1987, ApJ, 323, 129 [NASA ADS] [CrossRef] [Google Scholar]
 Farmer, A. J., & Phinney, E. S. 2003, MNRAS, 346, 1197 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
 Faulkner, J. 1971, ApJ, 170, L99 [NASA ADS] [CrossRef] [Google Scholar]
 Freudenreich, H. T. 1998, ApJ, 492, 495 [NASA ADS] [CrossRef] [Google Scholar]
 Goldberg, D., & Mazeh, T. 1994, A&A, 282, 801 [NASA ADS] [Google Scholar]
 Han, Z. 1998, MNRAS, 296, 1019 [NASA ADS] [CrossRef] [Google Scholar]
 Han, Z., & Webbink, R. F. 1999, A&A, 349, L17 [NASA ADS] [Google Scholar]
 Han, Z., Podsiadlowski, P., & Eggleton, P. P. 1995, MNRAS, 272, 800 [NASA ADS] [Google Scholar]
 Han, Z., Podsiadlowski, P., Maxted, P. F. L., & Marsh, T. R. 2003, MNRAS, 341, 669 [NASA ADS] [CrossRef] [Google Scholar]
 Hils, D., & Bender, P. L. 2000, ApJ, 537, 334 [NASA ADS] [CrossRef] [Google Scholar]
 Hils, D., Bender, P. L., & Webbink, R. F. 1990, ApJ, 360, 75 [NASA ADS] [CrossRef] [Google Scholar]
 Hiscock, W. A., Larson, S. L., Routzahn, J. R., & Kulick, B. 2000, ApJ, 540, L5 [NASA ADS] [CrossRef] [Google Scholar]
 Holberg, J. B. 2009, J. Phys. Conf. Ser., 172, 012022 [NASA ADS] [CrossRef] [Google Scholar]
 Hurley, J. R., Pols, O. R., & Tout, C. A. 2000, MNRAS, 315, 543 [NASA ADS] [CrossRef] [Google Scholar]
 Hurley, J. R., Tout, C. A., & Pols, O. R. 2002, MNRAS, 329, 897 [NASA ADS] [CrossRef] [Google Scholar]
 Iben, I. J., Tutukov, A. V., & Yungelson, L. R. 1997, ApJ, 475, 291 [NASA ADS] [CrossRef] [Google Scholar]
 Isaacson, R. A. 1968, Phys. Rev., 166, 1272 [NASA ADS] [CrossRef] [Google Scholar]
 Jahreiß, H., & Wielen, R. 1997, in Astronomische Gesellschaft Abstract Series, ed. R. E. Schielicke, 13, 43 [Google Scholar]
 Klypin, A., Zhao, H., & Somerville, R. S. 2002, ApJ, 573, 597 [NASA ADS] [CrossRef] [Google Scholar]
 Kroupa, P. 2001, MNRAS, 322, 231 [NASA ADS] [CrossRef] [Google Scholar]
 Kroupa, P., Tout, C. A., & Gilmore, G. 1993, MNRAS, 262, 545 [NASA ADS] [CrossRef] [Google Scholar]
 Landau, L. D., & Lifshitz, E. M. 1958, The classical theory of fields (Oxford: Pergamon Press) [Google Scholar]
 Landau, L. D., & Lifshitz, E. M. 1975, The classical theory of fields, Course of theoretical physics  Pergamon International Library of Science, Technology, Engineering and Social Studies (Oxford: Pergamon Press), 4th rev. engl. ed. [Google Scholar]
 Larson, S. L., Hiscock, W. A., & Hellings, R. W. 2000, Phys. Rev. D, 62, 062001 [NASA ADS] [CrossRef] [Google Scholar]
 Levato, H. 1974, A&A, 35, 259 [NASA ADS] [Google Scholar]
 Liu, J. 2009, MNRAS, 400, 1850 [NASA ADS] [CrossRef] [Google Scholar]
 Livio, M. 2000, in type Ia Supernovae, Theory and Cosmology, ed. J. C. Niemeyer, & J. W. Truran, 33 [Google Scholar]
 Martin, R. G., Tout, C. A., & Lesaffre, P. 2006, MNRAS, 373, 263 [NASA ADS] [CrossRef] [Google Scholar]
 Mazeh, T., Goldberg, D., Duquennoy, A., & Mayor, M. 1992, ApJ, 401, 265 [NASA ADS] [CrossRef] [Google Scholar]
 Miller, G. E., & Scalo, J. M. 1979, ApJS, 41, 513 [NASA ADS] [CrossRef] [Google Scholar]
 Mironovskii, V. N. 1966, SvA, 9, 752 [NASA ADS] [Google Scholar]
 Miyamoto, M., & Nagai, R. 1975, Publ. Astron. Soc. Jpn., 27, 533 [NASA ADS] [Google Scholar]
 Nauenberg, M. 1972, ApJ, 175, 417 [NASA ADS] [CrossRef] [Google Scholar]
 Nelemans, G., & Tout, C. A. 2005, MNRAS, 356, 753 [NASA ADS] [CrossRef] [Google Scholar]
 Nelemans, G., Verbunt, F., Yungelson, L. R., & Portegies Zwart, S. F. 2000, A&A, 360, 1011 [NASA ADS] [Google Scholar]
 Nelemans, G., Portegies Zwart, S. F., Verbunt, F., & Yungelson, L. R. 2001a, A&A, 368, 939 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Nelemans, G., Yungelson, L. R., & Portegies Zwart, S. F. 2001b, A&A, 375, 890 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Nelemans, G., Yungelson, L. R., & Portegies Zwart, S. F. 2004, MNRAS, 349, 181 [NASA ADS] [CrossRef] [Google Scholar]
 Oppenheimer, B. R., Hambly, N. C., Digby, A. P., Hodgkin, S. T., & Saumon, D. 2001, Science, 292, 698 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
 Paczynski, B. 1967, Acta Astron., 17, 287 [NASA ADS] [Google Scholar]
 Paczynski, B., & Zió▯kowski, J. 1967, Acta Astron., 17, 7 [NASA ADS] [Google Scholar]
 Peters, P. C., & Mathews, J. 1963, Phys. Rev., 131, 435 [NASA ADS] [CrossRef] [Google Scholar]
 Phleps, S., Meisenheimer, K., Fuchs, B., & Wolf, C. 2000, A&A, 356, 108 [NASA ADS] [Google Scholar]
 Pols, O. R., Schroder, K., Hurley, J. R., Tout, C. A., & Eggleton, P. P. 1998, MNRAS, 298, 525 [NASA ADS] [CrossRef] [Google Scholar]
 Popper, D. M. 1980, ARA&A, 18, 115 [NASA ADS] [CrossRef] [Google Scholar]
 Press, W. H., & Thorne, K. S. 1972, ARA&A, 10, 335 [NASA ADS] [CrossRef] [Google Scholar]
 Ramsay, G., Brocksopp, C., Groot, P. J., et al. 2007, in 15th European Workshop on White Dwarfs, ed. R. Napiwotzki, & M. R. Burleigh, ASP Conf. Ser., 372, 425 [Google Scholar]
 Rappaport, S., Verbunt, F., & Joss, P. C. 1983, ApJ, 275, 713 [NASA ADS] [CrossRef] [Google Scholar]
 Rasio, F. A., Tout, C. A., Lubow, S. H., & Livio, M. 1996, ApJ, 470, 1187 [NASA ADS] [CrossRef] [Google Scholar]
 Refsdal, S., Roth, M. L., & Weigert, A. 1974, A&A, 36, 113 [NASA ADS] [Google Scholar]
 Reimers, D. 1975, Memoires of the Societe Royale des Sciences de Liege, 8, 369 [NASA ADS] [Google Scholar]
 Revaz, Y., Pfenniger, D., Combes, F., & Bournaud, F. 2009, A&A, 501, 171 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Robin, A. C., Reylé, C., Derrière, S., & Picaud, S. 2003, A&A, 409, 523 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
 Roelofs, G. H. A., Groot, P. J., Benedict, G. F., et al. 2007, ApJ, 666, 1174 [NASA ADS] [CrossRef] [Google Scholar]
 Ruiter, A. J., Belczynski, K., Benacquista, M., & HolleyBockelmann, K. 2009, ApJ, 693, 383 [NASA ADS] [CrossRef] [Google Scholar]
 Ruiter, A.J., Belczynski, K., Benacquista, M., Larson, S.L., & Williams, G. 2010, ApJ, 717, 1006 [NASA ADS] [CrossRef] [Google Scholar]
 Sackett, P. D. 1997, ApJ, 483, 103 [NASA ADS] [CrossRef] [Google Scholar]
 Skumanich, A. 1972, ApJ, 171, 565 [NASA ADS] [CrossRef] [Google Scholar]
 Smith, L. F., Biermann, P., & Mezger, P. G. 1978, A&A, 66, 65 [NASA ADS] [Google Scholar]
 Strassmeier, K. G. 1996, A&A, 314, 558 [NASA ADS] [Google Scholar]
 Tassoul, J. 1988, ApJ, 324, L71 [NASA ADS] [CrossRef] [Google Scholar]
 Timmes, F. X., Diehl, R., & Hartmann, D. H. 1997, ApJ, 479, 760 [NASA ADS] [CrossRef] [Google Scholar]
 Tout, C. A., & Eggleton, P. P. 1988, ApJ, 334, 357 [NASA ADS] [CrossRef] [Google Scholar]
 Tout, C. A., & Hall, D. S. 1991, MNRAS, 253, 9 [NASA ADS] [CrossRef] [Google Scholar]
 Tyson, J. A., & Giffard, R. P. 1978, ARA&A, 16, 521 [NASA ADS] [CrossRef] [Google Scholar]
 Webbink, R. F. 1984, ApJ, 277, 355 [NASA ADS] [CrossRef] [Google Scholar]
 Webbink, R. F. 2008, in ed. E. F. Milone, D. A. Leahy, & D. W. Hobill, Ap&SS Library, 352, 233 [Google Scholar]
 Webbink, R. F., & Han, Z. 1998, in Laser Interferometer Space Antenna, Second International LISA Symposium on the Detection and Observation of Gravitational Waves in Space, ed. W. M. Folkner, AIP Conf. Ser., 456, 61 [Google Scholar]
 Webbink, R. F., & Kalogera, V. 1997, in Accretion Phenomena and Related Outflows, ed. D. T. Wickramasinghe, G. V. Bicknell, & L. Ferrario, ASP Conf. Ser., 121, IAU Colloq., 163, 828 [Google Scholar]
 Wielen, R., Jahreiß, H., & Krüger, R. 1983, in Nearby Stars and the Stellar Luminosity Function, ed. A. G. D. Philip, & A. R. Upgren, IAU Colloq., 76, 163 [Google Scholar]
 Willems, B., Kalogera, V., Vecchio, A., et al. 2007, ApJ, 665, L59 [NASA ADS] [CrossRef] [Google Scholar]
 Zahn, J. 1975, A&A, 41, 329 [NASA ADS] [Google Scholar]
 Zahn, J. 1977, A&A, 57, 383 [NASA ADS] [Google Scholar]
 Zahn, J. 2005, in Tidal Evolution and Oscillations in Binary Stars, ed. A. Claret, A. Giménez, & J.P. Zahn, ASP Conf. Ser., 333, 4 [Google Scholar]
 Zangrilli, L., Tout, C. A., & Bianchini, A. 1997, MNRAS, 289, 59 [NASA ADS] [Google Scholar]
 Zoccali, M., Cassisi, S., Frogel, J. A., et al. 2000, ApJ, 530, 418 [NASA ADS] [CrossRef] [Google Scholar]
Footnotes
 ...Robin et al. (2003)^{}
 Although a distribution following or a^{1/4} might be a better choice (de Vaucouleurs 1953,1958), we have chosen the form given here for simplicity.
 ...Kroupa et al. (1993)^{}
 Kroupa (2001) gives , see Sect. 3.9.
 ... systems^{}
 Nelemans et al. (2001a) also discuss AM CVn systems which are formed from lowmass helium stars with degenerate companions.
 ... disc^{}
 These figures correspond to model I of Nelemans et al. (2001a), in which there is no tidal coupling between the accretor spin and the orbital angular momentum. Nelemans et al. (2001a) find that with effective tidal coupling, the number of AM CVn systems may increase by two orders of magnitude (their model II). It is not the intention of this paper to discuss AM CVn systems in detail.
All Tables
Table 1: Density laws and associated parameters.
Table 2: Birth rates, local densities and numbers of DWDs.
Table 3: Birth rates of DWDs with various types and different formation channels.
Table 4: Main parameters and their value in our simulation.
Table 5: Estimated errors in DWD birthrates for the thin disk.
All Figures
Figure 1: The top panel shows the distribution of stars in the R(Galactic plane)z(height) diagram for our Galactic model at age 10 Gyr, using a random sample of 70 000 stars. The lower panel gives the number of DWDs in the Galaxy as a function of galactic radius, using a bin size of 0.1 kpc. The inset panel shows the thick disk and halo distribution. We assume there is no immigration between each Galactic component, i.e. no mass transfer, no angular momentum transfer, no collision. 

Open with DEXTER  
In the text 
Figure 2: Circular velocity as a function of galactocentric distance R from the Galatic model, showing the contribution due to different components, i.e. the bulge, thin disc + thick disc, and halo including dark matter. The dashed line indicates the observational estimate by Brand & Blitz (1993). The spheroidal component due to the interstellar medium was not considered separately. 

Open with DEXTER  
In the text 
Figure 3: Distribution of primary masses (left panel), mass ratio q=m_{2}/m_{1} (right panel) and orbital periods of DWDs in our model. The contour scale to the right of the figure represents the number of systems in each bin. The present DWD population is plotted, but the total number of DWDs ( ) is reduced by a factor of 100. Filled triangles and squares are for known WD+WD systems. The inset in the left panel shows the distribution of primary mass and orbital periods at days. Bin sizes are , . 

Open with DEXTER  
In the text 
Figure 4: Distribution of the chirp mass and frequency of DWDs. The contour scale to the right of the figure shows the number of systems in each bin. The present DWD population is plotted, but the total number of DWDs ( ) is reduced by a factor of 100. The solid line denotes the boundary for DWDs which will merge within 15 Gyr. The upperright panel shows the distribution of chirp mass at high GW frequency Hz. Bin sizes are , and . 

Open with DEXTER  
In the text 
Figure 5: The number of DWDs per frequency bin ( right panel) and their GW signal ( left panel). In the left panel, represents the strain amplitude. Colored dashed lines indicate the expected LISA sensitivity for a S/N = 1 ( lower) or 5 ( upper). The bin size . 

Open with DEXTER  
In the text 
Figure 6: The GW signal due to different types of DWD. represents the strain amplitude (left panel). The number distribution is shown in the middle panel. The right panel illustrates the distribution of chirp mass due to different DWD types, normalized by the total number ( ) of DWDs in the Galaxy (bin size ). The LISA sensitivity and frequency bins are as in Fig. 5. 

Open with DEXTER  
In the text 
Figure 7: The GW signal due to DWDs from different formation channels. The left panel presents the strain amplitudes. The number distribution is shown in the right. The LISA sensitivity and frequency bins are as in Fig. 5. Note that the exposed core + CE channel is a very minor channel (<) and has almost no influence on the GW signal at frequencies ( h). 

Open with DEXTER  
In the text 
Figure 8: The GW signal due to DWDs from different populations (see key). The black dashed lines denote the relation of amplitude and frequency from Eq. (41) at chirp masses 0.12, 0.22, 0.32, 0.42, 0.52, 0.62, 0.72 and 0.82 (from bottom). The LISA sensitivity and frequency bins are as in Fig. 5. 

Open with DEXTER  
In the text 
Figure 9: The GW signal obtained for different thin disc models. The red line is for Z=0.02, green for Z=0.001. The LISA sensitivity and frequency bins are as in Fig. 5. 

Open with DEXTER  
In the text 
Copyright ESO 2010
Current usage metrics show cumulative count of Article Views (fulltext 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 4896 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.