Abstract

We present electro-photometric UBV and high-speed U-band flickering observations of the recurrent nova T CrB during a period when its U brightness varies by more than 2 mag. The V band is dominated by the ellipsoidal variability of the red giant; however, the variability of the hot component also causes ∼0.15-mag variations in V. We define a set of parameters that characterize the flickering. The Fourier spectra of all 27 nights are similar to each other. The power spectral density of the variations has a power-law component (∝f−1.46 on average). We do not detect a dependence of the Fourier spectra and autocorrelation function on the brightness of the object. Having subtracted the contribution of the red giant, we show that the flickering amplitude correlates with the average flux of the accreting component. A comparison with CH Cyg and MWC 560 indicates that the flickering of T CrB is more stable (at least during the time of our observations) than that in these jet-ejecting symbiotic stars. The data are available in electronic form from the authors.

1 Introduction

T CrB (HD 143454) is an interacting binary star which consists of a red giant and a white dwarf (Selvelli, Cassatella & Gilmozzi 1992, and references therein). The star has undergone two nova eruptions (Nova CrB 1866, 1946) and is thus classified as a recurrent nova (and, due to the presence of the cool giant, plus emission lines seen at outburst, also as a symbiotic star). The red giant fills the Roche lobe, and thus the accretion flow onto the white dwarf (WD) is via L1, which is typical for cataclysmic variables. Sharing the characteristics of three (partly overlapping) types of interacting binaries, T CrB is an important object for our understanding of the various processes taking place in interacting binaries.

Stochastic brightness variations (flickering), occurring on time-scales of seconds to minutes with amplitudes ranging from a few millimagnitudes up to more than an entire magnitude, are a phenomenon typical of cataclysmic variables, and one that is rarely observed in symbiotic stars. For example, to date it has been detected in only eight of the 220 known symbiotics (Dobrzycka, Kenyon & Milone 1996; Belczyński et al. 2000; Sokoloski, Bildsten & Ho 2001). In T CrB, flickering with an amplitude of ΔU∼ 0.1–0.5 mag has been observed on a time-scale of minutes (Ianna 1964; Lawrence, Ostriker & Hesser 1967; Bianchini & Middleditch 1976; Walker 1977; Bruch 1980). The flickering amplitude is somewhat smaller in the B and V bands (Raikova & Antov 1986; Hric et al. 1998). In addition, on some occasions such flickering disappears (Bianchini & Middleditch 1976; Oskanian 1983; Mikołajewski, Tomov & Kolev 1997). In our previous investigation (Zamanov & Bruch 1998) we showed that the flickering of T CrB is indistinguishable from the flickering observed in dwarf novae, in spite of the vast difference in the geometrical size of the systems.

The exact origin of the stochastic variations is not clear, but they are considered to be a result of accretion onto the WD through a disc. Possible mechanisms include unstable mass transfer, magnetic discharges, turbulence and instability in the boundary layer (e.g. Warner 1995; Bruch 1992).

Here we present new UBV and high-speed flickering observations of T CrB, estimate the contribution of the red giant, analyse the U-band variability, search for relations between the flickering quantities and the brightness of the object, and compare the behaviour of T CrB with that of two other symbiotic stars (the ‘nanoquasars’ CH Cyg and MWC 560).

2 OBSERVATIONS

Observations were performed with the 60-cm telescope of NAO Rozhen equipped with a single-channel photometer. The comparison stars were HD 142929 and BD+2602761, the check star was GSC 2037.1228, and the integration time was 1 or 10 s. The observations with 1-s integration time were binned in 10 s. APR software (Kirov, Antov & Genkov 1991) was used for data processing. The accuracy of the UBV photometry is better than 0.03 mag, and the results are given in Table 1.

UBV observations of T CrB.
Table 1

UBV observations of T CrB.

For the flickering observations, the reduction to the standard U band is better than ±0.04 mag, and the internal accuracy of the data (standard deviation from the average of 10 consecutive measurements) is 0.015–0.030 mag. The control of the atmospheric conditions and performance of the system were done by observing the check star before and after T CrB, and carefully tracing the comparison star counts. (The comparison star was observed every 20–30 min.) In the subsequent data processing, two nights were rejected because of the ‘doubtful’ behaviour of the comparison and/or check stars. A journal of the flickering observations and the main characteristics of the U-band variability for each run are summarized in Table 2.

Journal of flickering observations in the U band. Date is given in format YYMMDD, TJD is the truncated Julian day of the start of the observation, N is the number of points in the run, IT is the integration time (in seconds). D is the duration of the run in minutes. Umax, Umin, and Uav are the maximum brightness during the night, the minimum, and the average of this quantity, respectively. σ is the standard deviation. Uav is calculated averaging the corresponding fluxes. The power spectra in each night are fitted with a linear fit (A and γ are the parameters of the fit, see text). γ is the power spectrum slope in the interval 3-160 cycles h-1. The e-folding time of the ACF is given for the original run (τ 0), and after subtraction of a spline fit (τ 1).
Table 2

Journal of flickering observations in the U band. Date is given in format YYMMDD, TJD is the truncated Julian day of the start of the observation, N is the number of points in the run, IT is the integration time (in seconds). D is the duration of the run in minutes. Umax, Umin, and Uav are the maximum brightness during the night, the minimum, and the average of this quantity, respectively. σ is the standard deviation. Uav is calculated averaging the corresponding fluxes. The power spectra in each night are fitted with a linear fit (A and γ are the parameters of the fit, see text). γ is the power spectrum slope in the interval 3-160 cycles h-1. The e-folding time of the ACF is given for the original run (τ 0), and after subtraction of a spline fit (τ 1).

The errors in the magnitudes (Umax, Umin, Uav) are calculated by dividing every run into two parts and calculating the quantities separately for each part, and in this way assessing the possible errors of the run. Fig. 1 is a plot of the orbital modulation in V, Fig. 2 shows the long-term U-band curve and the flickering observations, and Fig. 3 gives two examples of the flickering.

Johnson V-band observations of T CrB folded with a 227-d period. The solid line is our fit to all data. The open circles refer to the epochs when the object is brighter than U = 12, and the filled circles refer to the epochs when it is fainter than this. The dashed line is the calculated contribution of the red giant.
Figure 1

Johnson V-band observations of T CrB folded with a 227-d period. The solid line is our fit to all data. The open circles refer to the epochs when the object is brighter than U = 12, and the filled circles refer to the epochs when it is fainter than this. The dashed line is the calculated contribution of the red giant.

Long-term variability in U-band magnitudes and the flickering observations, with the corresponding amplitude. The cosine wave (bottom) is the calculated contribution of the red giant.
Figure 2

Long-term variability in U-band magnitudes and the flickering observations, with the corresponding amplitude. The cosine wave (bottom) is the calculated contribution of the red giant.

Two examples of our observations (for dates 980220 and 980720). The left panels represent the flickering behaviour of T CrB in U, mid-panels the power spectra, and right panels the autocorrelation function.
Figure 3

Two examples of our observations (for dates 980220 and 980720). The left panels represent the flickering behaviour of T CrB in U, mid-panels the power spectra, and right panels the autocorrelation function.

3 CONTRIBUTION OF THE RED GIANT

3.1 V band

In symbiotic stars, the mass donor is a red giant. In the case of T CrB, its contribution is not negligible in the UBV bands. The V-band variability of T CrB is dominated by the ellipsoidal variability of the red giant (Peel 1985; Lines, Lines & McFaul 1988). The V-band data from the long-term light curve (see Stanishev et al. 2004, and references therein) are plotted in Fig. 1, folded with the orbital period.

A three-term truncated Fourier fit to all data gives
where φ is the orbital phase (hereafter the numbers in parentheses refer to the errors). This fit is plotted in Fig. 1. The typical deviation of the points from the fit line is ±0.10 mag.
In Fig. 1 we have plotted with different symbols the points at which the object is brighter or fainter at shorter wavelengths (open circles refer to U < 12 and filled circles to U≥ 12). It is clear that the filled circles are displaced downwards slightly relative to the open ones. The U-band brightness is dominated by the hot component. We can also deduce that the variability of the hot component of about 2 mag in U (see also Stanishev et al. 2004) also contributes to that in V. To define this contribution we performed simple fits (using only the main terms) to the open and filled symbols. The coefficients obtained are
The mean values of the U-band magnitudes are U = 12.3 ± 0.3 and U = 11.2 ± 0.4 for the fainter and brighter points respectively. Therefore, an increase of the system U-band brightness by 1.1 mag results in an increase of the V-band brightness by 0.128 (equations 3 and 4). We derive a relative contribution R(V) = 0.205 ± 0.035, where R(V) =Fhot/FgM is the relative contribution of the accreting object compared with that of the red giant at V = 10.056. The corresponding orbital light curve of the red giant is plotted as a dashed line in Fig. 1. The calculated contribution is very similar to that obtained by Zamanov & Bruch (1998) on the basis of the average colours of the flickering source in cataclysmic variables.

Although the data in Fig. 1 are spread over 22 yr, the typical deviation of the points from the fit line is ±0.10 mag. This points to the fact that the V-band light curve has not changed in its main features over the last 22 yr. This in turn indicates that the M giant is not variable. Indeed, we can put an upper limit on its possible variability of ΔV < 0.05–0.10. The stability of the red giant is better defined in IR observations (Yudin & Munari 1993; Shahbaz et al. 1997), where an upper limit of variability ΔJ < 0.02 has been found.

3.2 Red giant contribution to U-band flux

The latest definitions of the spectral type of the red giant in T CrB are M4III (Zhu et al. 1999) and M4.5III (Mürset & Schmid 1999). Both are obtained on the basis of IR spectra and with typical uncertainty ±1 spectral subtype. The expected colour of a M4.5III star is (UV)M4.5III = 3.16 ± 0.10 (Lee 1970), (UV)M4.5III = 3.28 ± 0.10 (Schmidt-Kaler 1982), or (UV)M4.5III = 3.25 ± 0.10 (calculated using the tables of Fluks et al. 1994). The New ATLAS9 model atmospheres (Pietrinferni et al. 2004) for a star with Teff = 3500 K and log(g) = 1.0 give (UV) = 3.18 for [Fe/H]= 0.2, (UV) = 3.26 for [Fe/H]= 0, and (UV) = 3.42 for [Fe/H]=−1.5.

Using R(V) = 0.222 at V = 10.029 (as derived in Section 3.1), the fit to V (equation 1), EBV = 0.15, and (UV)M4.5III = 3.25, we can calculate the contribution of the red giant to the U band. The light curve of T CrB, our flickering observations, and the red giant contribution (as a sine wave) are plotted in Fig. 2.

One way to check the calculated U brightness of the red giant is by IR photometry, supposing that the red giant is the only source in the J band. The J brightness of T CrB varies in the interval J = 5.90–6.19 (Kamath & Ashok 1999). Interpolations in the tables of the colours of red giants give (UJ)M4.5III = 7.75 ± 0.25 (from Lee 1970), (UJ)M4.5III = 7.14 ± 0.2, combining (UV) from Schmidt-Kaler (1982) and (VJ) from Ducati et al. (2001), and (UJ)M4.5III = 7.34 ± 0.2 (from Fluks et al. 1994), where the calculated uncertainties refer to ±0.5 spectral type. The model atmospheres give (UJ)[Fe/H]= 0.2 = 7.24, (UJ)[Fe/H]= 0 = 7.13 and (UJ)[Fe/H]=−1.5 = 6.52 (Pietrinferni et al. 2004).

Shahbaz et al. (1999) modelled the M giant spectrum, with enhanced abundance of lithium but normal abundances of the other metals; however, they used a higher gravity, inconsistent with the last orbital solution.

If we suppose that the red giant is the only source in J, using the above (UJ) colours and EBV = 0.15 we could expect a value of U∼ 14.4–13.3, which is consistent with the supposed contribution of the red giant to the U band (see Fig. 2).

4 FLICKERING QUANTITIES

The U magnitudes were converted into fluxes, adopting a flux for a zero-magnitude star of F0(U) = 4.194 × 10 −11 Wm −2 nm −1 (Bessell 1979). In addition to our data, we used data from Bruch (1992) and Oskanian (1983). Bruch's data are reddened with EBV = 0.12 and were corrected for the difference in the adopted zero-point of the flux scale. For Oskanian's data, we assumed that the instrumental difference Δu = 0 corresponds to magnitude U = 11.83. We have used only positive detections of the flickering. After the observed flux during a given night was corrected for the contribution of the red giant the following quantities were calculated:

Fig. 4 plots the flickering quantities versus the average flux of the hot component. It is obvious they have to be connected; however, it is not clear a priori how the different quantities will depend on each other. The least-squares fits to the data in Fig. 4 give
1
2
3
Measured flickering quantities versus the average flux Fav of the hot component. Triangles refer to Fmax, crosses to Fmin and squares to Ffl. The axes are in units of 10 −16 W m −2 nm −1.
Figure 4

Measured flickering quantities versus the average flux Fav of the hot component. Triangles refer to Fmax, crosses to Fmin and squares to Ffl. The axes are in units of 10 −16 W m −2 nm −1.

4.1 Power spectra

For each run we also calculated the power spectrum and the autocorrelation function. Two examples are shown in Fig. 3. Over a wide range of frequencies the power spectra of T CrB light curves follow the power law P(f) ∝fγ, where P is the power and f is the frequency. Such a power-law shape is commonly observed in the light curves of cataclysmic variables and is attributed to the flickering. The power-law index γ was determined in the frequency interval from 3 to 160 cycles h −1. We fitted the power spectra over this interval with a log–log scale with a least-squares linear fit: log(P) =A+γ log(f). A and γ are given in Table 2. The typical errors are ΔA =±0.8 and Δγ=±0.25. A visual comparison/inspection shows that all power spectra are very similar. This is confirmed from the fits. They give an average value of graphic. There are two runs where γ is ≈−1.1. In both cases two stronger flashes are visible in the variability with amplitude ∼0.2 mag.

The power-law spectrum of the type observed in T CrB is expected in the model of flickering proposed by Yonehara, Mineshige & Welsh (1997). They proposed as the origin of flickering a self-organised critical state of the disc in which seemingly chaotic fluctuations can be produced. Such a model implies γ≃−1 to −2. Our observations of T CrB do not contradict this model.

The correlation analysis shows no correlation of A and γ with Uav or Fav (rP < 0.2), indicating that the flickering is ‘stable’, i.e. without considerable changes in the nature of the power spectrum in spite of the variability.

This is not, however, the situation in the symbiotic star CH Cyg, where the power spectrum changes dramatically. There are even moments when CH Cyg's power spectrum cannot be fitted with a simple power law, as a result of an unstable disc and disruption of the inner disc during the jet ejection (Sokoloski & Kenyon 2003b). We did not observe instabilities in T CrB like those in CH Cyg.

4.2 Autocorrelation function (ACF)

Another objective way to investigate flickering behaviour is through the ACF (see Bruch 2000). The ACFs were calculated according to Edelson & Krolik (1988) for unevenly spaced data.

The typical time-scale of the flickering may be defined as the time shift at which the ACF first reaches the value 1/e. Thus determined correlation times are influenced by the presence of periodic brightness variations or trends in the data. As Robinson & Nather (1979) and Panek (1980) note, these correlation times can be additionally biased by the presence of weakly correlated noise and the process of trend removal (if applied).

The e-folding time is given in Table 2. The errors are determined from the errors of the autocorrelation coefficients. We calculated e-folding times in two different ways: (i) the e-folding time of the ACF of the original data in each run (τ0); and (ii) after subtraction of a spline fit (τ1). Operation (ii) was performed in order to obtain the typical time of the flickering on shorter time-scales. A tension spline interpolation was undertaken. We subtracted this spline fit through the mean points in non-overlapping bins of length about ∼20 min in a way that is identical to that applied to TT Ari by Kraicheva et al. (1999).

The e-folding time of the ACF varies over a wide interval. The average value, standard deviation of the average, and median value of the e-folding time are graphic, where all values are in seconds. The values of τ1 are similar to the values of TT Ari as defined in Kraicheva et al. (1999).

The correlation analysis showed that there are no correlations between the so-defined e-folding times and the brightness of the object, or the flickering quantities (Fav, Ffl, or the size of the boundary layer). The linear Pearson correlation coefficient and Spearman's rank correlation give values between 0 and 0.2, indicating that there is no dependence of the time-scale of variability on the luminosity of the hot component, i.e. the the characteristic time-scales of the flickering are not connected with the brightness of the object.

4.3 Boundary layer

The origin of flickering is still not clear, although this phenomenon is observed for many stars. Bruch (1992) and Bruch & Duschl (1993) identify the boundary layer between the accretion disc and the white dwarf as the most probable place for the origin of flickering. Bruch & Duschl (1993) consider that the ratio Ffl/Fmin is connected with the size of the boundary layer between the white dwarf and the accretion disc.

In T CrB, Ffl is well correlated with Fmin (see Fig. 5). Pearson's correlation coefficient is rP = 0.72 and Spearman's rank correlation rS = 0.56. Assuming that the deviation of the points from the fit lines (Fig. 2 and equations 3, 4, 5) is due only to the errors of the measurements, the fits (equations 3, 4, 5) indicate that, in spite of variations in Fav (which we suppose are related to the mass accretion rate), the ratios Ffl/Fmin and Fmax/Fmin do not change markedly. According to Bruch & Duschl (1993), this means that the size of the boundary layer remains almost constant independently of changes in the mass accretion rate. Here, adding more data (see Fig. 5), we confirm the conclusion of Zamanov & Bruch (1998) that Ffl increases linearly with increasing Fmin. This, within the limits of Bruch & Duschl's model, means that the size of the boundary layer in T CrB remains almost constant, independently of changes in the mass accretion rate.

The average flux of the flickering, Ffl, versus the quiescent flux of the hot component in a light curve, Fmin. The solid line is a linear least-squares fit Ffl∝Fkmin, where k = 0.995 ± 0.015. Our data are plotted with the corresponding errors, the circles represent data from Bruch (1992), and crosses(×) data from Oskanian (1983).
Figure 5

The average flux of the flickering, Ffl, versus the quiescent flux of the hot component in a light curve, Fmin. The solid line is a linear least-squares fit FflFkmin, where k = 0.995 ± 0.015. Our data are plotted with the corresponding errors, the circles represent data from Bruch (1992), and crosses(×) data from Oskanian (1983).

5 FLICKERING AMPLITUDE

Flickering amplitude (ΔF =FmaxFmin) has also been measured for CH Cyg (Mikołajewski et al. 1990) and MWC 560 (Tomov et al. 1996). The flickering amplitude versus the average flux of the hot component, after subtraction of the red giant contribution, is presented for all three stars in Fig. 6.

The flickering amplitude versus the flux of the hot component in the U band for T CrB (our data), CH Cyg (Mikołajewski et al. 1990: the plus signs refer to the propeller, the squares to the accretor stage), and MWC 560 (Tomov et al. 1996). The axes are in units of 10 −16 W m −2nm −1. In all cases the contribution of the red giant has been removed. For T CrB, the line is the best linear fit. For CH Cyg the solid lines are for the propeller and accretor stages, and the dashed line is to all points. For MWC 560 the correlation is weak and no fit was performed.
Figure 6

The flickering amplitude versus the flux of the hot component in the U band for T CrB (our data), CH Cyg (Mikołajewski et al. 1990: the plus signs refer to the propeller, the squares to the accretor stage), and MWC 560 (Tomov et al. 1996). The axes are in units of 10 −16 W m −2nm −1. In all cases the contribution of the red giant has been removed. For T CrB, the line is the best linear fit. For CH Cyg the solid lines are for the propeller and accretor stages, and the dashed line is to all points. For MWC 560 the correlation is weak and no fit was performed.

5.1 T CrB

The data in Fig. 6 show that the flickering amplitude depends on the average hot-component flux. The correlation is well defined, with rP = 0.72 and rS = 0.56. Searching for a dependence of the type ΔF∝ (Fh)k, we obtain a best fit for T CrB with k = 1.09 ± 0.11. The fit and the corresponding error have been calculated in two ways: (1) using the errors in corresponding quantities as given in Table 2; (2) bootstrapping simulations (e.g. Efron & Tibshirani 1993) over the points plotted in Fig. 5, i.e. taking ∼20 subsamples from our points. Using only our own and Bruch's points (i.e. data well calibrated in U) we obtain k = 1.03 ± 0.09. Using different subsamples of the whole sample we obtained values 0.93 ≤k≤ 1.22. An error in the subtraction of the M giant contribution of 25 per cent will cause an error in k of about 0.05.

5.2 CH Cyg

A dependence of the flickering amplitude on brightness has been reported for CH Cyg by Mikołajewski et al. (1990). Their results show that the flickering amplitude in CH Cyg is a power-law function of the hot-component luminosity, i.e. ΔF∝ (Fh)k, where k = 1.40–1.45. Here, using their data, we subtracted the contribution of the red giant, and the resulting points are plotted in Fig. 6. To subtract the contribution of the red giant we assume that at the minimum of V flux all the light is due only to the red giant, and has a colour corresponding to (UV)M6III = 2.43–2.70 (Lee 1970; Schmidt-Kaler 1982; Fluks et al. 1994). The minimum brightness of CH Cyg is V = 10.0 (Mikołajewski et al. 1996), and we adopt a contribution of the red giant of U = 12.45. We will not go into details as to whether the system is a triple (Hinkle et al. 1993; Skopal et al. 1998) or binary (Munari et al. 1996). Here we only note that an error of ±0.7 mag in the subtraction of the flux of the red star(s) would influence the obtained slope by less than ±0.02.

The analysis gives a very high correlation between Fav and ΔF. rP and rS are always about 0.88–0.94, using (1) all points, (2) the propeller-state observations, and (3) the accretor-state observations (for further discussion of propeller and accretor states in CH Cyg, see Mikołajewski et al. 1990).

After the subtraction of the red giant contribution we obtain k = 1.08 ± 0.05 if we use all points, k = 1.48 ± 0.05 for propeller-state points only, and k = 1.41 ± 0.05 for the accretor state only. It has to be noted that the fit ΔF∝ (F)1.08 obtained on the basis of all points is very similar to the value for T CrB.

5.3 MWC 60

For MWC 560 the minimum brightness is V = 10.2 (Tomov et al. 1996) and the red giant is classified as M5.5 III (Schmid et al. 2001). Using (UV)M5.5III = 2.80–2.95 (Lee 1980; Schmidt-Kaler 1982; Fluks et al. 1994), we adopt a contribution of the red giant equivalent to U≈ 13.0. It should be noted that the calculated red giant contribution in MWC 560 and CH Cyg is considerably smaller than that in T CrB, which is in accordance with the fact that in these two objects the V-band variability is dominated by the hot component (and not by the red giant as in T CrB).

The flickering amplitude versus Fav for MWC 560 is plotted in Fig. 6 (lower panel). The correlation is not very significant (rP = 0.25, rS = 0.27– although, if we delete three points with log ΔF < 0.6, we can obtain a moderate correlation up to rP∼ 0.4).

During the time of these observations MWC 560 was in the process of jet ejection, and the jet was even precessing (Iijima 2002). The lack of significant correlation between the flickering amplitude and hot-component flux is probably a result of the outflow; that is, the jet ejection destroys the innermost parts of the accretion disc, where the flickering originates.

The connection between the jet and flickering is not investigated in MWC 560; however, it is visible in the 1997 jet launch in CH Cyg (Sokoloski & Kenyon 2003a). The discs and jets are also connected in quasars and microquasars (see Livio, Pringle & King 2003, and references therein). In this sense, the fact that the correlation between ΔF and Fav is loose in MWC 560 is probably due to the outflow and its connection with the accretion disc.

6 DISCUSSION OF FLICKERING AMPLITUDE

In all three symbiotic stars, the flickering amplitude shows a tendency to increase with increasing hot-component flux. If we accept that there are no different states in CH Cyg and all points lie on the same line, this means that the obtained value of the slope is very similar to that for T CrB, which in terms of the Bruch & Duschl (1993) model means that in both stars the size of the boundary layer remains constant (see Section 5). In MWC 560 the flickering is (probably) influenced by the outflow and ΔF depends weakly on Fav, and the correlation is not well defined.

The other possibility, that the flickering amplitude of CH Cyg lies on two parallel lines, would give different values of k in the relationship ΔF∝ (F)k. One of the reasons for this difference could be connected with the magnetic field of the WD. Here we want to point out that the flickering amplitude could be connected with the magnetic field. The most probable place for the origin of the flickering is the inner parts of the accretion disc. If the flickering is a result of turbulence in the inner parts of the disc then the energy available in the turbulence will be proportional to the density where the flickering forms (Bruch 1992). If the WD is magnetic, the inner parts of the accretion disc will be destroyed by the magnetic field. Various types of instability can then appear at the inner edge of the disc. These instabilities permit the accreting material to be absorbed from the magnetosphere as blobs. The energy releasing will be unsteady, and we suppose that the amplitude of the flickering will be proportional to the typical mass of the blobs, and that the mass of the blobs will in turn be proportional to the density at the inner edge of the disc. The density in the disc can be estimated as (Lipunov 1992)
4
where (R/H) is the ratio between the radius and the vertical size of the disc: (R/H) is usually adopted to be a constant of order 0.01–0.1. M is the mass of the WD.
If the WD is non-magnetic, the inner radius of the disc will be approximately equal to the WD radius (for a thin boundary layer), and consequently the density at the inner edge is given by graphic. The same relationship will be fulfilled if the boundary layer is not thin and its size does not change. If the WD is magnetic, the radius R0 of the inner disc edge can be expressed as (Lamb, Pethick & Pines 1973)
5
where N is a constant of order 1, and μ is the WD magnetic moment. In this case (from equations 4 and 5),
6
where k = 10/7 = 1.43 is in agreement with the behaviour of CH Cyg (Mikołajewski et al. 1990, see also Section 5.2), if the suppositions (1) ΔF∝ρin, and (2) accretor–propeller states in CH Cyg (Mikołajewski et al. 1990) are correct.

The data for T CrB are consistent with k = 1, as expected for a low- or non-magnetic WD; that is, the position of the inner edge of the accretion disc does not depend on the mass accretion rate.

The presence of a magnetic WD in CH Cyg is not a certain fact. Sokoloski & Kenyon (2003a), Crocker et al. (2001), Ezuka, Ishida & Makino (1998) cast doubts on the presence of such a magnetic WD in CH Cyg. However, the magnetic propeller model of (Mikołajewski & Mikołajewska 1988) still remains the most promising for the variability of this object.

If the differences in the behaviour of the flickering in T CrB, CH Cyg, and MWC 560 are not connected with the magnetic field and jet ejection, other possible reasons may be changes of the energy distribution, or the mechanisms generating the flickering in these objects.

7 Conclusions

We have analysed the U-band variability of the recurrent nova and symbiotic star T CrB, and compared its behaviour with two other symbiotic stars, CH Cyg and MWC 560. During the period of our observations, T CrB brightness varied between U = 13 and U = 10 mag. The analyses we performed lead to the following conclusions.

  • The V brightness during the last 22 yr is dominated by the ellipsoidal variability of the red giant; however, the hot-component variability with ΔU ≳ 2 mag introduces a shift in V of about 0.15 mag. No sign of variability of the red giant has been detected.

  • The power spectrum of the flickering does not change during our observations, remaining always with slope γ≈−1.5 in spite of the changes in U. We do not detect changes in the power spectrum like those observed in CH Cyg.

  • The calculated e-folding time of the ACF does not show dependence on the changes in U.

  • The flickering amplitude is strongly correlated with the average flux of the hot component.

  • The differences in the dependence of the flickering amplitude between T CrB, CH Cyg and MWC 560 could be connected with jet ejection and the possible presence of a magnetic WD in the last two.

  • In general, in T CrB we have observed flickering, which does not notably change its characteristics (at least during the time of our observations).

In the future it would be very interesting to determine the behaviour of the flickering amplitude, ACF, power spectra, etc. of other symbiotic stars with flickering (in particular RS Oph, RT Cru, o Ceti), as well as the flickering of MWC 560 during phases without outflow, and also the connection of flickering with jet precession. Simultaneous spectral and photometric observations over a wide spectral range from UV to IR could be very useful in investigating in detail the flickering behaviour and its connection with accretion disc instabilities and jet ejections.

Acknowledgments

This work is based on observations obtained in NAO Rozhen, Bulgaria. Use was made of SIMBAD, iraf, and Starlink. RZ is supported by a PPARC Research Assistantship, and MFB is a PPARC Senior Fellow.

References

Belczyński
K.
Mikołajewska
J.
Munari
U.
Ivison
R. J.
Friedjung
M.
,
2000
,
A&AS
,
146
,
407

Bessell
M. S.
,
1979
,
PASP
,
91
,
589

Bianchini
A.
Middleditch
J.
,
1976
,
Inf. Bull. Variable Stars
,
1151

Bruch
A.
,
1980
,
Inf. Bull. Variable Stars
,
1805

Bruch
A.
,
1992
,
A&A
,
266
,
237

Bruch
A.
,
2000
,
A&A
,
359
,
998

Bruch
A.
Duschl
W. J.
,
1993
,
A&A
,
275
,
219

Crocker
M. M.
Davis
R. J.
Eyres
S. P. S.
Bode
M. F.
Taylor
A. R.
Skopal
A.
Kenny
H. T.
,
2001
,
MNRAS
,
326
,
781

Dobrzycka
D.
Kenyon
S. J.
Milone
A. A. E.
,
1996
,
AJ
,
111
,
414

Ducati
J. R.
Bevilacqua
C. M.
Rembold
S. B.
Ribeiro
D.
,
2001
,
ApJ
,
558
,
309

Edelson
R. A.
Krolik
J. H.
,
1988
,
ApJ
,
333
,
646

Efron
B.
Tibshirani
R. J.
,
1993
,
An introduction to the Bootstrap
,
Monographs on Statistics and Applied Probability
, Vol.
57
.
Chapman & Hall
, New York

Ezuka
H.
Ishida
M.
Makino
F.
,
1998
,
ApJ
,
499
,
388

Fluks
M. A.
Plez
B.
The
P. S.
De Winter
D.
Westerlund
B. E.
Steenman
H. C.
,
1994
,
A&AS
,
105
,
311

Ghosh
P.
Lamb
F. K.
,
1979
,
ApJ
,
232
,
259

Glass
I. S.
Schultheis
M.
,
2002
,
MNRAS
,
337
,
519

Hinkle
K. H.
Fekel
F. C.
Johnson
D. S.
Scharlach
W. W. G.
,
1993
,
AJ
,
105
,
1074

Hric
L.
Petrik
K.
Urban
Z.
Niarchos
P.
Anupama
G. C.
,
1998
,
A&A
,
339
,
449

Ianna
P. A.
,
1964
,
ApJ
,
139
,
780

Iijima
T.
,
2002
,
A&A
,
391
,
617

Kamath
U. S.
Ashok
N. M.
,
1999
,
A&AS
,
135
,
199

Kirov
N. K.
Antov
A. P.
Genkov
V. V.
,
1991
,
C.R. Acad. Bulg. Sci.
,
44
,
5

Kraicheva
Z.
Stanishev
V.
Genkov
V.
Iliev
L.
,
1999
,
A&A
,
351
,
607

Lamb
F. K.
Pethick
C. J.
Pines
D.
,
1973
,
ApJ
,
184
,
271

Lawrence
G. M.
Ostriker
J. P.
Hesser
J. E.
,
1967
,
ApJ
,
148
,
L161

Lee
T. A.
,
1970
,
ApJ
,
162
,
217

Lines
H. C.
Lines
R. D.
McFaul
T. G.
,
1988
,
AJ
,
95
,
1505

Lipunov
V. M.
,
1992
,
Astrophysics of Neutron Stars
.
Springer-Verlag
, Berlin

Livio
M.
Pringle
J. E.
King
A. R.
,
2003
,
ApJ
,
593
,
184

Mikołajewski
M.
Mikołajewska
J.
,
1988
, in
Mikolajewska
J.
Friedjung
M.
Kenyon
S. J.
Viotti
R.
, eds, IAU Colloq. 103,
The Symbiotic Phenomenon
.
Kluwer
, Dordrecht, p.
233

Mikołajewski
M.
Mikołajewska
J.
Tomov
T.
Kulesza
B.
Szczerba
R.
,
1990
,
Acta Astronomica
,
40
,
129

Mikołajewski
M.
Tomov
T. V.
Kolev
D.
Leedjarv
L.
,
1996
,
Inf. Bull. Variable Stars
,
4368

Mikołajewski
M.
Tomov
T.
Kolev
D.
,
1997
,
Inf. Bull. Variable Stars
,
4428

Munari
U.
Yudin
B. F.
Kolotilov
E. A.
Tomov
T. V.
,
1996
,
A&A
,
311
,
484

Mürset
U.
Schmid
H. M.
,
1999
,
A&AS
,
137
,
473

Oskanian
A. V.
,
1983
,
Inf. Bull. Variable Stars
,
2349

Panek
R. J.
,
1980
,
ApJ
,
241
,
1077

Peel
M.
,
1985
,
JAAVSO
,
14
,
8

Pietrinferni
A.
Cassisi
S.
Salaris
M.
Castelli
F.
,
2004
,
A&A
, submitted

Raikova
D.
Antov
A.
,
1986
,
Inf. Bull. Variable Stars
,
2960

Robinson
E. L.
Nather
R. E.
,
1979
,
ApJS
,
39
,
461

Schmid
H. M.
Kaufer
A.
Camenzind
M.
Rivinius
T.
Stahl
O.
Szeifert
T.
Tubbesing
S.
Wolf
B.
,
2001
,
A&A
,
377
,
206

Schmidt-Kaler
T. H.
,
1982
, in
Schaifers
K.
Voigt
H. H.
, eds,
Stars and Star Clusters, Landolt-Börnstein
,
New Series, Group VI
,
Vol. 2b
.
Springer-Verlag
, New York.

Selvelli
P. L.
Cassatella
A.
Gilmozzi
R.
,
1992
,
ApJ
,
393
,
289

Shahbaz
T.
Somers
M.
Yudin
B.
Naylor
T.
,
1997
,
MNRAS
,
288
,
1027

Shahbaz
T.
Hauschildt
P. H.
Naylor
T.
Ringwald
F.
,
1999
,
MNRAS
,
306
,
675

Skopal
A.
Bode
M. F.
Lloyd
H. M.
Drechsel
H.
,
1998
,
A&A
,
331
,
224

Sokoloski
J. L.
Kenyon
S. J.
,
2003a
,
ApJ
,
584
,
1021

Sokoloski
J. L.
Kenyon
S. J.
,
2003b
,
ApJ
,
584
,
1027

Sokoloski
J. L.
Bildsten
L.
Ho
W. C. G.
,
2001
,
MNRAS
,
326
,
553

Stanishev
V.
Zamanov
R.
Tomov
N.
Marziani
P.
,
2004
,
A&A,
415
,
609

Tomov
T.
et al. ,
1996
,
A&AS
,
116
,
1

Walker
A. R.
,
1977
,
MNRAS
,
179
,
587

Warner
B.
,
1995
,
Cataclysmic Variable Stars,
Cambridge Astrophysics Series
.
Cambridge Univ. Press
, Cambridge.

Yonehara
A.
Mineshige
S.
Welsh
W. F.
,
1997
,
ApJ
,
486
,
388

Yudin
B.
Munari
U.
,
1993
,
A&A
,
270
,
165

Zamanov
R. K.
Bruch
A.
,
1998
,
A&A
,
338
,
988

Zhu
Z. X.
Friedjung
M.
Zhao
G.
Hang
H. R.
Huang
C. C.
,
1999
,
A&AS
,
140
,
69