Free Access
Issue
A&A
Volume 563, March 2014
Article Number A109
Number of page(s) 8
Section Astrophysical processes
DOI https://doi.org/10.1051/0004-6361/201323103
Published online 17 March 2014

© ESO, 2014

1. Introduction

Some microquasars exhibit millisecond high-frequency quasi-periodic oscillations (QPO) characterized by a narrow peak in the source power spectrum (see van der Klis 2004; Remillard & McClintock 2006, for a review). Their characteristic timescale is of the order of the Keplerian orbital period at the innermost stable circular orbit of central 10 M black holes. It is thus probable that they are related to strong-field general relativistic effects.

A variety of models have been developed over the years to account for this high-frequency variability. The nature of high-frequency QPOs and their association with the steep power-law state of luminous accretion discs is, however, still unclear. The quasi-periodic modulation to the X-ray flux could be generated, for instance, by matter blobs orbiting in the inner accretion disc at the Lense-Thirring precession frequency (Stella & Vietri 1998; Cui et al. 1998). However, intrinsic disc oscillations of a thin accretion disc (see Wagoner 1999; Kato 2001) or a warped disc (Fragile et al. 2001) might also impart a modulation to the spectrum. Pointing out the 3:2 ratio between some QPOs in different black hole binaries, Abramowicz & Kluźniak (2001) have proposed a resonance model in which these pairs of QPOs are excited by the beat between the Keplerian and epicyclic frequencies of a particle orbiting around the central compact object. Schnittman & Bertschinger (2004) developed the first model that takes into account general relativistic ray-tracing. They considered a hot spot radiating isotropically on nearly circular equatorial orbits around a Kerr black hole. Tagger & Varnière (2006) advocate that QPOs in microquasars could be triggered by the Rossby wave instability in accretion discs surrounding a central compact object. For this model ray-traced light curves have recently been developed by Vincent et al. (2013).

The first study of a QPO model involving thick accretion structure (tori) was developed by Rezzolla et al. (2003) who showed that p-mode oscillation of a numerically computed accretion torus can generate QPOs. Ray-traced light curves and power spectra of this model were derived by Schnittman & Rezzolla (2006). Analytic torus models have the advantage of providing a framework in which all physical quantities are accessible throughout the accretion structure and at all times. The analysis of these in the context of QPOs was initiated by Bursa et al. (2004) who performed simulations of ray-traced light curves and power spectra of an optically thin oscillating slender torus. This model only took into account simple vertical and radial sinusoidal motion of a circular cross-section torus (slender tori have nearly circular cross sections). In order to allow a more general treatment, a series of theoretical works where dedicated to developing a proper model of general oscillation modes of a slender or non-slender perfect-fluid hydrodynamical accretion torus (Abramowicz et al. 2006; Blaes et al. 2006; Straub & Šrámková 2009).

This article is a follow-up of the recent analysis of Mazur et al. (2013) who investigated the observable signature of simple time-periodic deformations of a slender accretion torus. This analysis showed that different deformations lead to very different spectra. The aim of this article is to go farther along the path leading to a fully realistic model of oscillating tori power spectra. Here, we consider realistic oscillation modes of slender tori (no longer simple deformations) as computed by Blaes et al. (2006); Straub & Šrámková (2009). Moreover, all compuations are performed in the Kerr metric whereas our previous study was restricted to Schwarzschild black holes. Our goal is to analyse the spectral signatures of the different oscillation modes and to investigate the effect of the black hole inclination and spin parameters on the power spectra.

Section 2 describes the equilibrium slender torus while Sect. 3 describes its oscillations. Section 4 shows the ray-traced light curves and power spectra of the oscillating torus, and Sect. 5 gives conclusions and prospects.

2. Equilibrium of a slender accretion torus

Spacetime is described by the Kerr metric in the Boyer-Lindquist spherical-like coordinates (t,r,θ,ϕ), with geometrical units c = 1 = G, and signature (−, +, +, +). The line element has the form ds2=gttdt2+2gdtdϕ+grrdr2+gθθdθ2+gϕϕdϕ2=(12MrΞ)dt24MraΞsin2θdtdϕ+ΞΔdr2+Ξdθ2+(r2+a2+2Mra2sin2θΞ)sin2θdϕ2,\begin{eqnarray} \mathrm{d}s^2 &=& g_{tt} \mathrm{d}t^{2} + 2g_{t\varphi}\mathrm{d}t\mathrm{d}\varphi + g_{rr}\mathrm{d}r^2 + g_{\theta\theta}\mathrm{d}\theta^{2} + g_{\varphi\varphi}\rm{d}\varphi^2\nn \\ &=& -\left(1-\frac{2 M r}{\Xi}\right) \,\mathrm{d}t^2 - \frac{4 M r a }{\Xi} \sin^2\theta\,\mathrm{d}t\, \mathrm{d}\varphi + \frac{\Xi}{\Delta}\, \mathrm{d}r^2 \nn \\ \label{eq:kerr2}&& + \Xi \,\mathrm{d}\theta^2 + \left(r^2 + a^2 +\frac{2 M r a^2 \sin^2\theta}{\Xi}\right)\sin^2\theta\, \mathrm{d}\varphi^2, \index{Kerr metric} \end{eqnarray}(1)where M is the black hole mass, a ≡ J/M its reduced angular momentum (J being the black hole angular momentum), Ξ ≡ r2 + a2cos2θ, and Δ ≡ r2−2Mr + a2.

In this spacetime, we consider an axisymmetric, non self-gravitating, perfect-fluid, constant specific angular momentum, circularly orbiting accretion torus. This torus is assumed to be slender, meaning that its cross section diameter is small compared to its central radius.

2.1. Fluid motion

As the fluid follows circular geodesics, its four-velocity can be written uμ=A(ημ+Ωξμ),\begin{equation} u^{\mu} = A\left( \eta^{\mu}+\Omega \xi^{\mu}\right), \label{eq-4vel} \end{equation}(2)where Ω is the fluid’s angular velocity, and ημ and ξμ are the Killing vectors associated with stationarity and axisymmetry respectively. The constant A is fixed by imposing the normalization of the four-velocity, uμuμ = −1.

As spacetime is stationary and axisymmetric, the specific energy and specific angular momentum defined as =ημuμ=utand=ξμuμ=uϕ\begin{eqnarray} \mathcal{E} &=& -\eta^{\mu}u_{\mu} = -u_t \;\mathrm{and} \\ \nn \mathcal{L} &=& \xi^{\mu}u_{\mu} = u_\varphi \end{eqnarray}(3)are geodesic constants of motion. The rescaled specific angular momentum is defined by =uϕut·\begin{equation} \ell \equiv \frac{\mathcal{L}}{\mathcal{E}} = -\frac{u_{\varphi}}{u_t}\cdot \end{equation}(4)We assume this rescaled specific angular momentum to be constant throughout the torus: =0=const.\begin{equation} \ell = \ell_0 = {\rm const}. \end{equation}(5)The four-acceleration along a given circular geodesic followed by the fluid is aμ=uννuμ=12𝒰μ𝒰,\begin{equation} a_{\mu} = u^{\nu}\nabla_{\nu}u_{\mu} = -\frac{1}{2\mathcal{U}} \partial_{\mu}\mathcal{U}, \end{equation}(6)where \hbox{$\mathcal{U}$} is the effective potential (see e.g. Abramowicz et al. 2006) 𝒰=gtt20g+02gϕϕ.\begin{equation} \mathcal{U} = g^{tt} - 2\ell_0 g^{t\varphi} + \ell_0^{2}g^{\varphi\varphi}. \end{equation}(7)The radial and vertical epicyclic frequencies for circular motion are related to the second derivatives of this potential: ωr2=122A2grr(2𝒰r2),ωθ2=122A2gθθ(2𝒰θ2)·\begin{eqnarray} \omega^2_r &=& \frac{1}{2}\frac{{\cal E}^2}{A^2\,g_{rr}}\left(\frac{\partial^2{\cal U}}{\partial r^2}\right), \nn \\ \label{epicyclic-requencies-second-derivatives} \omega^2_{\theta} &=& \frac{1}{2}\frac{{\cal E}^2}{A^2\,g_{\theta\theta}}\left(\frac{\partial^2{\cal U}}{\partial \theta^2}\right)\cdot \end{eqnarray}(8)In the Kerr metric, these epicyclic frequencies at the torus centre are ωr02=Ω02(16r0+8ar03/23a2r02),ωθ02=Ω02(14ar03/2+3a2r02),\begin{eqnarray} \omega^2_{r0} &=& \Omega_0^2 \left(1-\frac{6}{r_0}+\frac{8a}{r_0^{3/2}} -\frac{3a^2}{r_0^2}\right), \nn \\ \label{epifreq} \omega^2_{\theta 0} &=& \Omega_0^2 \left(1-\frac{4a}{r_0^{3/2}} + \frac{3a^2}{r_0^2}\right), \end{eqnarray}(9)where a subscript 0 denotes, here and throughout this article, the torus centre.

2.2. Fluid thermodynamics

The fluid equation of state is p=Kρ(n+1)/n,e=np+ρ,\begin{equation} p = K\rho^{(n + 1)/n}, \quad e = np + \rho , \end{equation}(10)where p is the pressure, ρ the mass density, e the energy density, K the polytropic constant, and n the polytropic index.

The equation of conservation of energy-momentum leads to the relativistic Euler equation μpp+e=μ(ln),\begin{equation} - \frac {\partial_{\mu} p}{p + e} = \partial_{\mu} (\ln {\cal E}), \label{Euler} \end{equation}(11)which has the first integral (Bernoulli equation), H+ln=const.,\begin{equation} H + \ln {\cal E} = {\rm const.}, \label{Bernoulli} \end{equation}(12)where we have introduced the relativistic enthalpy H=dpp+e·\begin{equation} H = \int \frac{{\rm d}p}{p + e}\cdot \end{equation}(13)Following Abramowicz et al. (2006), we define a dimensionless function f(r,θ) by pρ=f(r,θ)p0ρ0,\begin{equation} \frac{p}{\rho} = f(r, \theta)\, \frac{p_0}{\rho_0}, \label{definition-function-f} \end{equation}(14)where p0 and ρ0 denote pressure and density at the centre of the torus. Straub & Šrámková (2009) show that from the Bernoulli equation (Eq. (12)) one obtains f(r,θ)=11ncs02(lnln0),\begin{equation} f(r, \theta)= 1 - \frac{1}{nc^2_{{\rm s}0}}\, \left( \ln {\cal E} - \ln {\cal E}_0 \right), \label{general-function-f} \end{equation}(15)where cs0 is the central value of the sound speed cs2=∂p∂ρ=n+1n(pρ),\begin{equation} c_{\rm s}^2 = \frac{\partial p}{\partial \rho} = \frac{n + 1}{n}\left(\frac{p}{\rho}\right), \end{equation}(16)which is always negligible compared to 1.

It is easy to derive that (pp0)=fn+1,(ρρ0)=fn.\begin{equation} \left(\frac{p}{p_0}\right) = f^{n\, +\, 1}, ~~\left(\frac{\rho}{\rho_0}\right) = f^{n}. \label{pressure-density-in-terms-of-f} \end{equation}(17)The f function takes constant values at isobaric and isodensity surfaces. In particular it vanishes at the surface of the torus. It will thus be called from now on surface function1.

2.3. Surface function

Following Abramowicz et al. (2006) we introduce a new set of coordinates x=(grr)0(rr0r0),y=(gθθ)0(π/2θr0)·\begin{equation} x = \left( \sqrt{g_{rr}} \right)_0 \left( \frac{r - r_0}{r_0}\right),~~ y = \left( \sqrt{g_{\theta\theta}} \right)_0 \left( \frac{\pi/2 - \theta}{r_0}\right)\cdot \label{small-coordinates} \end{equation}(18)The dimensionless surface function defined in Eq. (15) can be expressed using these coordinates f=11β2(ω̅r02x2+ω̅θ02y2),\begin{equation} f = 1 - \frac{1}{\beta^2}\left( {\bar \omega}^2_{r0}\, x^2 + {\bar \omega}^2_{\theta0}\, y^2 \right), \label{function-f-simple-form} \end{equation}(19)where ω̅r0=ωr0Ω0,ω̅θ0=ωθ0Ω0\begin{equation} {\bar \omega}_{r0} = \frac{\omega_{r0}}{\Omega_0},\quad {\bar \omega}_{\theta 0} = \frac{\omega_{\theta 0}}{\Omega_0} \label{dimensinless-epicycli} \end{equation}(20)and β2=2ncs02r02A02Ω02·\begin{equation} \beta^2 = \frac{2n c^2_{{\rm s}0}}{r^2_0 A^2_0 \Omega^2_0}\cdot \label{eq:beta} \end{equation}(21)As shown by Abramowicz et al. (2006), this parameter is related to the torus thickness, and the x and y coordinates are of the order of β. A torus is slender when β1.\begin{equation} \beta \ll 1. \end{equation}(22)We thus define a new set of order-unity coordinates =xβ,=yβ,\begin{equation} {\bar x} = \frac{x}{\beta}, \quad {\bar y} = \frac{y}{\beta}, \label{magnified-coordinates} \end{equation}(23)and f(,)=1(ω̅r022+ω̅θ022).\begin{equation} f (\xb,\yb)= 1 - \left( {\bar \omega}^2_{r0}\, {\bar x}^2 + {\bar \omega}^2_{\theta0}\, {\bar y}^2 \right). \label{function-f-simple-form-2} \end{equation}(24)The equilibrium slender torus therefore has an elliptical cross section (we note that the torus surface is given by the zeros of the surface function f).

3. Oscillations of a slender accretion torus

Following Straub & Šrámková (2009) we consider the five lowest-order oscillation modes with respect to the β parameter for slender tori (in their article, these modes are labelled from i = 1 to i = 5):

  • 1.

    radial mode,

  • 2.

    vertical mode,

  • 3.

    X mode,

  • 4.

    plus mode,

  • 5.

    breathing mode.

This section is devoted to computing the surface functions and four-velocity of the matter of the slender accretion torus submitted to these five oscillation modes.

3.1. Surface functions

At a given point, the pressure in the oscillating torus p differs from the pressure in the non-oscillating torus p by the amount δpei(ωt),\begin{equation} \delta p \propto {\rm e}^{{\rm i}(m\varphi - \omega t)}, \label{perturbation-form} \end{equation}(25)where m = 0,1,2,... is the azimuthal wave number, and ω is the frequency of oscillations. The physical pressure perturbation is the real part of the complex quantity above.

It is very useful to express this function in terms of the following quantity introduced by Papaloizou & Pringle (1984)W=δpA0ρΩ0σ,\begin{equation} W = - \frac{\delta p}{A_0 \rho \Omega_0 \sigma}, \label{eq:Wfunction} \end{equation}(26)where the kinematic quantities A and Ω have been set to their central values, which is a sound assumption in the slender torus limit. Here σ = ω0m is the rescaled mode eigenfrequency.

For any kind of perturbation, the pressure in the oscillating torus, p′ = p + δp, can be straightforwardly computed as p=ρ0fn[p0ρ0fA0Ω0Wiσi],\begin{equation} p^{\prime} = \rho_0\, f^n \left[ \frac{p_0}{\rho_0} f - A_0 \Omega_0 W_i \sigma_i \right], \end{equation}(27)where i stands for the oscillation mode and f is the unperturbed surface function satisfying fn + 1 = p/p0.

The expression of the perturbed surface function fin+1=p/p0\hbox{$f_i^{n\,+\,1} = p'/p_0$} corresponding to oscillation mode i is then calculated to the first order in the perturbation fi=f1n+1ρ0p0A0Ω0Wiσi.\begin{equation} f_i = f - \frac{1}{n+1}\frac{\rho_0}{p_0} A_0 \Omega_0 W_i \sigma_i. \end{equation}(28)Straub & Šrámková (2009) give the expressions of the Wi functions as Wi=aigi(,)cos((σi+m)Ω0t),\begin{equation} W_i = a_i\,g_i(\xb,\yb)\,\mathrm{cos}\left(m\varphi -(\sigma_i + m)\Omega_0 t\right), \end{equation}(29)where ai are order-unity normalization coefficients and gi is a known function of \hbox{$\xb$} and \hbox{$\yb$}. The choice of normalization of Straub & Šrámková (2009) makes the Wi functions of the order of unity, which is not adapted to our present treatment where these functions should be small corrections. We will thus write the general perturbed surface function according to fi(t,,)=fλσiaigi(,)cos((σi+m)Ω0t),\begin{equation} f_i(t,\xb,\yb) = f - \lambda \,\sigma_i \,a_i \,g_i(\xb,\yb)\,\mathrm{cos}\left(m\varphi -(\sigma_i + m)\Omega_0 t\right), \label{eq:surfunc} \end{equation}(30)where λ is a chosen small parameter, and the other quantities appearing in the second term of the right-hand side are of the order of unity. The values of σi are given in Table 2 of Straub & Šrámková (2009), while \hbox{$a_i\,g_i(\xb,\yb)$} are given in their Table 1.

Table 1 of this article gives the expressions of the surface functions corresponding to all oscillation modes considered here.

Table 1

Perturbed surface functions (as defined by Eq. (30)) for the various kinds of perturbations considered in this work.

Table 2

Perturbed four-velocity of the torus matter.

3.2. Perturbed fluid four-velocity

As shown by Blaes et al. (2006), the four-velocity of the fluid is given by the equations uμ=u0μ+δuμ,u0μ=A0(ημ+Ω0ξμ)δuμ=Re{iρ0p0+e0(∂Wxμ)},μ=r,θ,\begin{eqnarray} \label{four-velocity-general} &&u^{\mu} = u^{\mu}_0 + \delta u^{\mu},\nonumber\\ &&u^{\mu}_0 = A_0(\eta^{\mu} + \Omega_0 \xi^{\mu})\nonumber\\ &&\delta u_{\mu} = {\rm Re}\left\{\frac{{\rm i}\rho_0}{p_0 + e_0}\left(\frac{\partial W}{\partial x^{\mu}}\right)\right\},~~~ \mu = r, \theta , \end{eqnarray}(31)where u0μ\hbox{$u_0^{\mu}$} is the four-velocity at equilibrium already defined in Eq. (2), which is assumed to be equal to its central value, in the slender torus limit.

The expressions of ur and uθ are straightforwardly derived by using the expression of the W function from Straub & Šrámková (2009). Table 2 gives these expressions for all oscillation modes. As the torus is assumed to have a constant rescaled angular momentum 0, the following relation holds between the perturbed temporal and azimuthal components of the four-velocity: uϕ=0ut.\begin{equation} u_\varphi = -\ell_0 u_t. \label{eq:up-ut} \end{equation}(32)Adding the normalization condition uμuμ = −1, Eqs. (31) and (32) fully determine the four-velocity of the fluid.

3.3. Perturbations parameters

The torus central radius is fixed at the value that ensures the condition ωθ0/ωr0 = 3/2 in Schwarzschild metric. This translates to r0 = 10.8. The torus central density and polytropic index are fixed at ρ0 = 1, n = 1.5. The polytropic constant is fixed at a value K = 10-4 that allows us to get β ≪ 1 (see Eq. (21)).

The perturbation strengths λ and μ defined in Tables 1 and 2 can be shown to be related by the simple expression μλp0/ρ0\hbox{$\mu \approx \lambda \sqrt{p_0 / \rho_0}$}. There is thus only one parameter to choose, and we fix λ = 0.2 throughout this article. This value is the largest one that allows the torus to remain slender for all times and all modes.

The mode number m is fixed at 0. This results in the torus always being axially symmetric and allows us to compute easily its cross-section circumference as a function of time, which will be needed to compute its emission (see Sect. 4.1).

The only free parameters that we will vary in this study for all different oscillation modes are:

  • the black hole spin,

  • the inclination angle.

The ranges of variation of all parameters are given in Table 3.

Table 3

Values of parameters that describe our model for all five modes of oscillation.

4. Light curves and power spectra of the oscillating torus

4.1. Ray-tracing the oscillating torus

Light curves and power spectra of the oscillating tori are computed by using the open-source general relativistic ray-tracing code GYOTO2(Vincent et al. 2011).

Null geodesics are integrated backward in time from a distant observer’s screen to the optically thick torus. The zero of the surface function is found numerically along the integrated geodesic and the fluid four-velocity is determined by using Eqs. (31).

The torus is assumed to emit radiation isotropically in its rest frame. Among the five different oscillation modes investigated here, only three lead to a variation of the emitting surface: the radial mode, the plus mode, and the breathing mode. The radial mode leads to a change in r0, with constant cross-section circumference \hbox{$\mathcal{C}$}. The plus and breathing modes give rise to a change in \hbox{$\mathcal{C}$}, with constant r0. The emitting surface area being proportional to \hbox{$r_0 \times \mathcal{C}$} (as the azimuthal wavenumber m = 0), these three modes lead to a change of emitting surface area. In order to take into account in the simplest way the resulting change in observed flux, we assume that the emitted intensity at the torus surface is Iν={1,vertical,Xmodes,r0eq𝒞eq/r0(tem)𝒞(tem),radial,plus,breathingmodes,\begin{equation} I_{\nu} = \left\{ \begin{array}{l} 1, \,\:\:\,\mathrm{vertical, X\: modes}, \vspace{0.2cm}\\[1mm] r_0^{\mathrm{eq}} \mathcal{C}^{\mathrm{eq}}/ r_0(t_{\mathrm{em}}) \mathcal{C}(t_{\mathrm{em}}), \,\mathrm{radial, plus, breathing\: modes}, \\ \end{array} \right. \label{eq:Iem} \end{equation}(33)where tem is the time of emission and the superscript refers to equilibrium torus quantities. This choice boils down to assuming that the torus luminosity is constant. We have computed numerically the quantities r0(t) and \hbox{$\mathcal{C}(t)$} as a function of time for all three modes, and interpolate to determine their values at any emission time.

Maps of specific intensity are computed with a resolution of 1000 × 1000 pixels. The time resolution is of around 20 snapshots per Keplerian period at the central radius of the torus. This choice is a balance between the necessity of using a high enough time resolution in order to compute accurate power spectral densities (PSD) and the computing time needed for the simulation. One light curve lasts in total 4.5 Keplerian orbits at r0, divided in 100 snapshots, and needs a total computing time corresponding to 75 h for one CPU.

4.2. Power spectra of torus oscillations

Power spectral densities are computed in the following way. We let δt be the time step between two consecutively computed maps of specific intensity and N be the total number of calculated maps. We let F(tk) be the observed flux at observation time tk = kδt; F(tk) is simply the sum over all pixels of the intensity map. The power spectral density at frequency fk = k/(Nδt) is defined as the square of the modulus of the fast Fourier transform of the signal, thus:

PSD ( f k ) = | j = 0 N 1 F ( t j ) exp ( 2 πijk / N ) | 2 . \begin{equation} {\rm PSD}(f_k)= \left| \sum_{j=0}^{N-1} F(t_j) \mathrm{exp}(2\pi i j k/N)\right|^{2}. \end{equation}(34)

4.3. Results and discussion

This section shows the light curves and PSD of all five torus oscillation modes for two extreme values of spin, a = 0 and a = 0.99, and three values of inclinations i = 5°, i = 45°, and i = 85°. All other parameters are fixed at the values given in Table 3. Figures 2 and 3 show, respectively, the light curves and PSD for all oscillation modes, spins, and inclinations. Three effects are particularly important to explain the modulation of light curves and the corresponding amplitude of PSD:

  • the general relativistic redshift effect that has an impact on the observed intensity: Iνobs=g4Iνem\hbox{$I_\nu^{\mathrm{obs}} = g^4 I_\nu^{\mathrm{em}}$}, where g = νem/νobs and νem is related to the emitter’s four-velocity,

  • the time variation of the emitting area in the emitter’s frame Aem, which is linked to the variation of the surface function, and the resulting change of emitted intensity (see Eq. (33)),

  • the time variation of the apparent torus area on the observer’s sky Aapp, which is a function of the variation of Aem, of the bending of photons geodesics, and of the inclination angle.

The vertical mode is relevant to determining the impact of the first effect. This mode has constant Aem, and Aapp barely varies for all inclinations. The light curve modulation is thus mainly due to the variation of the emitter’s four-velocity. Given the extremely low level of modulation for this vertical mode, it appears that the effect of general relativistic redshift variation is negligible compared to the time variation of the emitting and the apparent torus areas.

The observed flux is essentially equal to the apparent area Aapp of the torus multiplied by the observed intensity. Neglecting the redshift effect, the observed intensity varies due to the intrinsic variation of the emitted intensity which in turn is linked to the intrinsic variation of the emitted area Aem. The total modulation depends on the respective weights of these effects.

4.3.1. Impact of inclination

The very strong dependence of the spectra on inclination shows that the most important effect is the variation of apparent area, which is the only inclination dependent effect. This can be quantified by comparing ther variation of Aem and Aapp. We take the breathing mode at spin 0 as an example. While the emitting area can vary up to 20% during the course of the oscillation, the apparent area changes by 12% for a face-on torus (i = 5°) and by 80% for an edge-on torus (i = 85°), whereas the flux varies by 6% at and 65% at 85°, respectively. The variation of Aem (and subsequent inverse variation of emitted intensity) thus somewhat restrains the effect of the variation of Aapp. Figure 1 shows the two images of the breathing mode at 85° of inclination corresponding to the extreme values of Aapp.

thumbnail Fig. 1

Breathing mode images at spin 0 and inclination 85°. The two panels correspond to the two extreme values of the torus apparent area. The observed intensity of every pixel is reduced when the apparent size is bigger, as the emitted intensity decreases when the emitting area increases. Although it does not seem so from the torus apparent area variation, the torus remains slender at all times. These images are highly distorted by general relativistic effects.

The plus and breathing modes are particularly sensitive to inclination because the torus cross section is modified differently in the vertical and horizontal directions, where vertical refers to the direction orthogonal to the equatorial plane and horizontal inside the equatorial plane. The plus mode leads mainly to a horizontal motion, whereas the breathing mode induces mainly a vertical movement. In the plus mode, this leads to a higher modulation at small inclinations as horizontal motions are more visible for a face-on observer. The opposite is true for the breathing mode.

The X mode is special in the sense that it is the only mode that leads to a strong first harmonic whatever the inclination. This is due to the particular variation of the torus surface for this mode, which leads to two local maxima of apparent area Aapp per Keplerian period. These two local maxima of Aapp have different values and lead to different values of flux local maxima.

4.3.2. Impact of spin

The first difference due to the spin parameter is the value of the peak frequency σi (see Table 1), which is a function of spin. For instance, σ+ varies from 1.03 (a = 0) to 1.2 (a = 0.99) in units of the Keplerian frequency. The breathing mode frequency varies less, going from 1.67 (a = 0) to 1.64 (a = 0.99). This spin-related difference of frequency is clearly visible in the upper and lower panels of Fig. 2.

The greatest difference in the total power of the modulation is associated with the plus and breathing modes which always lead to a high-spin power greater or equal to the low-spin power. For instance, the plus mode at inclination has around 40% more power at spin 0.99 than at spin 0. This increase in power with spin is dictated by the combined impact of the variation of emitting and apparent areas. Taking the plus mode as an example, its emitting area varies a bit less at higher spin while the apparent area at low inclination varies significantly more. These two effects lead to a higher modulation at higher spin.

Modes other than plus and breathing have comparable power at both spins because the apparent area of the torus varies by a similar amount for the two spin values.

A third effect of the spin parameter is to change the relative values of the powers of different modes. For instance, the power ratio between the plus and breathing modes at inclination is of around 50 at spin 0 and 20 at spin 0.99. At inclination 85° this ratio evolves from 35 to 10. The dependence of this ratio with spin is mainly dictated by the evolution of the apparent area: the respective evolutions of Aapp for the plus and breathing modes show greater differences at lower than at higher spin.

The conclusion of this analysis is that both inclination and spin have a clear impact on the power spectra. These parameters are important in determining the apparent area of the torus as a function of time, which itself dictates the modulation of the light curve. In particular, the plus and breathing modes are extremely sensitive to these two parameters:

  • the peak frequency of their PSD is a function of spin;

  • plus mode has less power at higher inclination and breathing mode more power;

  • plus and breathing modes have more power at higher spins;

  • the ratio of the breathing mode to plus mode powers is a function of spin and inclination.

These features may be used to constrain spin and inclination by fitting the theoretical spectra to observed QPO data. However, our model is still too simple to allow us to put this possibility to the test.

thumbnail Fig. 2

Light curves of a slender oscillating torus for spin 0 (left column) or 0.99 (right column) and inclination (upper row), 45° (middle row), or 85° (lower row). All five oscillation modes investigated in this article are represented in each panel (radial mode in solid black, vertical mode in dashed black, X mode in solid red, plus mode in solid blue, and breathing mode in dashed blue). Times are in units of the Keplerian period at r0 for spin 0.

thumbnail Fig. 3

Power spectral density of a slender oscillating torus for spin 0 (left column) or 0.99 (right column) and inclination (upper row), 45° (middle row), or 85° (lower row). All five oscillation modes investigated in this article are represented in each panel (radial mode in solid black, vertical mode in dashed black – invisible because too weak, X mode in solid red, plus mode in solid blue, and breathing mode in dashed blue). We note that some spectra are multiplied by 0.1 for convenience. Frequencies are in units of the Keplerian frequency at r0 for spin 0.

5. Conclusions and perspectives

This article is devoted to computing the spectral signature of the lowest order oscillation modes of slender accretion tori with constant angular momentum surrounding Kerr black holes.

We show how the ray-traced light curves and power spectral densities are regulated by the oscillation mode, the inclination, and the spin parameter. The power of a given mode has a strong and non-linear dependence on spin and inclination. We find that both plus and breathing modes dominate the high-spin regime at all inclinations. For low spin, either the plus or the breathing mode is dominating, with a strong dependence on the inclination parameter. Lower order modes are much less sensitive to changing the spin, but they still vary with the inclination. This may imply that depending on black hole spin and inclination of an X-ray binary system, the observed high-frequency QPOs would be attributed to different oscillation modes. If true, then there would be no unique pair of modes that describes the observed 3:2 resonance in all black hole sources with QPOs. Rather, each black hole binary system would have its own characteristic mode combination which would be visible at its individual inclination and spin. However, we caution that our model is still too simple to draw any conclusions. How QPOs are excited and which oscillation modes are at work is at this point still unclear. Magneto-hydrodynamical simulations of radiation dominated accretion discs suggest on the one hand that the breathing mode is the strongest of the oscillation modes, but on the other hand that it is, like all higher order acoustic modes (but unlike the epicyclic modes), damped at a rate proportional to the disc scale height (see Blaes et al. 2011).

This work also highlights the importance of ray-tracing for computing power spectra of oscillating tori. Previous works have suggested that the 3:2 double peak may be due to a resonance between the radial and vertical modes (Abramowicz & Kluźniak 2001), the radial and plus modes (Rezzolla et al. 2003), or the vertical and breathing modes (Blaes et al. 2006). The fact that the power exhibited by these modes is so different in our simulations (which is a consequence of ray-tracing, as the power is mainly linked with the variation of the torus apparent area) should be taken into account in these models.

A natural follow-up of this analysis will be to determine to what extent inclination and spin could be constrained by fitting this model to QPO data. In order to be able to answer this question, the oscillating torus model should be made more realistic. Future work will be devoted to developing general-relativistic magneto-hydrodynamics (GRMHD) simulations of non-equilibrium slender tori in order to determine which oscillation modes are the most likely to be triggered and with what strength.


1

This function is nothing but the Lane-Emden function for the polytropic fluid.

2

Freely available at gyoto.obspm.fr

Acknowledgments

We acknowledge support from the Polish grant NCN UMO-2011/01/B/ST9/05439 grant, from the Polish NCN grant 2013/08/A/ST9/00795, and the Swedish VR grant. Computing was partly done using the Division Informatique de l’Observatoire (DIO) HPC facilities from Observatoire de Paris (http://dio.obspm.fr/Calcul/). G.T. and P.B. acknowledge the Czech research grant GAČR 209/12/P740 and the “Synergy” project of the Institute of physics in Opava CZ.1.07/2.3.00/20.0071 aimed at supporting international collaboration.

References

  1. Abramowicz, M. A., & Kluźniak, W. 2001, A&A, 374, L19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  2. Abramowicz, M. A., Blaes, O. M., Horák, J., Kluzniak, W., & Rebusco, P. 2006, Class. Quant. Grav., 23, 1689 [Google Scholar]
  3. Blaes, O. M., Arras, P., & Fragile, P. C. 2006, MNRAS, 369, 1235 [NASA ADS] [CrossRef] [Google Scholar]
  4. Blaes, O., Krolik, J. H., Hirose, S., & Shabaltas, N. 2011, ApJ, 733, 110 [NASA ADS] [CrossRef] [Google Scholar]
  5. Bursa, M., Abramowicz, M. A., Karas, V., & Kluźniak, W. 2004, ApJ, 617, L45 [NASA ADS] [CrossRef] [Google Scholar]
  6. Cui, W., Zhang, S. N., & Chen, W. 1998, ApJ, 492, L53 [NASA ADS] [CrossRef] [Google Scholar]
  7. Fragile, P. C., Mathews, G. J., & Wilson, J. R. 2001, ApJ, 553, 955 [NASA ADS] [CrossRef] [Google Scholar]
  8. Kato, S. 2001, PASJ, 53, 1 [NASA ADS] [CrossRef] [Google Scholar]
  9. Mazur, G. P., Vincent, F. H., Johansson, M., et al. 2013, A&A, 554, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  10. Papaloizou, J. C. B., & Pringle, J. E. 1984, MNRAS, 208, 721 [NASA ADS] [CrossRef] [Google Scholar]
  11. Remillard, R. A., & McClintock, J. E. 2006, ARA&A, 44, 49 [NASA ADS] [CrossRef] [Google Scholar]
  12. Rezzolla, L., Yoshida, S., Maccarone, T. J., & Zanotti, O. 2003, MNRAS, 344, L37 [NASA ADS] [CrossRef] [Google Scholar]
  13. Schnittman, J. D., & Bertschinger, E. 2004, ApJ, 606, 1098 [NASA ADS] [CrossRef] [Google Scholar]
  14. Schnittman, J. D., & Rezzolla, L. 2006, ApJ, 637, L113 [NASA ADS] [CrossRef] [Google Scholar]
  15. Stella, L., & Vietri, M. 1998, ApJ, 492, L59 [NASA ADS] [CrossRef] [Google Scholar]
  16. Straub, O., & Šrámková, E. 2009, Class. Quant. Grav., 26, 055011 [Google Scholar]
  17. Tagger, M., & Varnière, P. 2006, ApJ, 652, 1457 [NASA ADS] [CrossRef] [Google Scholar]
  18. van der Klis, M. 2004 [arXiv::astro-ph/0410551] [Google Scholar]
  19. Vincent, F. H., Paumard, T., Gourgoulhon, E., & Perrin, G. 2011, Class. Quan. Grav., 28, 225011, A54 [NASA ADS] [CrossRef] [Google Scholar]
  20. Vincent, F. H., Meheut, H., Varniere, P., & Paumard, T. 2013, A&A, 551, A54 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Wagoner, R. V. 1999, Phys. Rep., 311, 259 [NASA ADS] [CrossRef] [Google Scholar]

All Tables

Table 1

Perturbed surface functions (as defined by Eq. (30)) for the various kinds of perturbations considered in this work.

Table 2

Perturbed four-velocity of the torus matter.

Table 3

Values of parameters that describe our model for all five modes of oscillation.

All Figures

thumbnail Fig. 1

Breathing mode images at spin 0 and inclination 85°. The two panels correspond to the two extreme values of the torus apparent area. The observed intensity of every pixel is reduced when the apparent size is bigger, as the emitted intensity decreases when the emitting area increases. Although it does not seem so from the torus apparent area variation, the torus remains slender at all times. These images are highly distorted by general relativistic effects.

In the text
thumbnail Fig. 2

Light curves of a slender oscillating torus for spin 0 (left column) or 0.99 (right column) and inclination (upper row), 45° (middle row), or 85° (lower row). All five oscillation modes investigated in this article are represented in each panel (radial mode in solid black, vertical mode in dashed black, X mode in solid red, plus mode in solid blue, and breathing mode in dashed blue). Times are in units of the Keplerian period at r0 for spin 0.

In the text
thumbnail Fig. 3

Power spectral density of a slender oscillating torus for spin 0 (left column) or 0.99 (right column) and inclination (upper row), 45° (middle row), or 85° (lower row). All five oscillation modes investigated in this article are represented in each panel (radial mode in solid black, vertical mode in dashed black – invisible because too weak, X mode in solid red, plus mode in solid blue, and breathing mode in dashed blue). We note that some spectra are multiplied by 0.1 for convenience. Frequencies are in units of the Keplerian frequency at r0 for spin 0.

In the text

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.