We report on a systematic analysis of the spin and superorbital modulations of the high-mass X-ray binary 4U 0114+650, which consists of the slowest spinning neutron star known. Utilizing dynamic power spectra, we found that the spin period varied dramatically during the RXTE ASM and Swift BAT observations. This variation consists of a long-term spin-up trend, and two ~1,000 day and one ~600 day random walk epochs previously, MJD 51,000, ~MJD 51,400-52,000, and ~MJD 55,100-56,100. We further found that the events appear together with depressions of superorbital modulation amplitude. This provides evidence of the existence of an accretion disk, although the physical mechanism of superorbital modulation remains unclear. Furthermore, the decrease of the superorbital modulation amplitude may be associated with the decrease of mass accretion rate from the disk, and may distribute the accretion torque of the neutron star randomly in time.
4U 0114+650 is a high-mass X-ray binary system showing properties of both Be star X-ray binaries (Koenigsberger et al. 1983) and supergiant X-ray binaries (Crampton et al. 1985; Reig et al. 1996). The compact object in this system is one of the slowest known rotating pulsars, with a spin period of ~2.7 hours (Finley et al. 1992; Hall et al. 2000). The spin period increases with time at a spin-up rate of year-1 (Hall et al. 2000). This value was revised by many investigations and the spin-up rate seems to be accelerating (Wang 2011). The spin period was determined using the first 4.5 years of
The orbital period of this system was first determined via radial velocity measurement of its companion LS I +65°010; the period was found to be 11.558(3) days (Crampton et al. 1985) and was then revised to 11.5983(6) days (Grundstrom et al. 2007). The orbital modulation can also be seen in the X-ray band as an eclipse-like feature and a sawtooth modulation profile (Corbet et al. 1999). However, Farrell et al. (2008) argued that 4U 0114+650 does not exhibit eclipsing binary behavior. To interpret the spectral variability, they proposed another scenario in which the neutron star passes through a heavily absorbing region close to the base of the stellar wind.
4U 0114+650 exhibits long-term modulation with a period of 30.7 days. This superorbital modulation was first determined by Farrell et al. (2006) using
In this research, we used all-sky monitoring data from
From its launch in 1996 to its decommissioning in 2012, the ASM onboard the
Because the spin period is long and highly variable, to trace its evolution we applied the dynamic Lomb-Scargle periodogram (Clarkson et al. 2003) to both the ASM and the BAT light curves. We set the window size at 60 days and the moving step at 10 days. The dynamic power spectra are shown in Fig. 1. From the ASM results, we can clearly see a random walk behavior before MJD 51,000; this is then followed by a dramatic spin up. Between MJD 51,400 – MJD 52,000, there possibly existed another random walk epoch, but the signal is not clear. After MJD 52,000, a long increasing trend in spin frequency can be seen, although the signal can only be detected marginally.
For the dynamic power spectrum of the BAT light curve, the evolution of the spin frequency can be much more clearly detected by comparing it with the ASM light curve. It seems that there is a spin down epoch in the beginning, but it is too short to be confirmed. A long spin-up trend can be clearly observed before MJD 55,100. Then, a long random-walk epoch lasting ~1,000 days occurred and a fluctuation of the pulse period can be seen within this epoch. After MJD 56,100, another long spin-up epoch began. The overall spin-up rate is but the fitting is poor. This poor fit is due to the presence of the random-walk epoch and the intrinsic short-term variability.
4. EVOLUTION OF SUPERORBITAL MODULATION
The presence of superorbital modulation may indicate the existence of an accretion disk, although the accretion mechanism of 4U 0114+650 is dominated by wind-fed accretion. Because the ASM and BAT light curves were extended to a much longer time baseline after the previous report by Farrell et al. (2006), we used the dynamic Lomb-Scargle technique to investigate the evolution of superorbital modulation.
Similar to the procedure in Section 3, we produced the dynamic power spectra of superorbital modulation for ASM and BAT datasets with a window size of 500 days and a moving step of 10 days (see Fig. 2). We noticed that the period is stable, but the significance is time-variable. There are several weakly detected epochs in the ASM dataset: before MJD 51,000, for MJD 51,700 – MJD 52,200, and after MJD 54,200. Because the signal can be easily seen in the BAT spectrum, the last one may be caused by the decrease of the X-ray flux instead of by the decrease of the signal strength. The dynamic power spectrum of the BAT light curve also shows an interesting break of the superorbital modulation period for ~MJD 55,300 – 56,200. Except for the last break epoch in the ASM light curve, all of the breaks coincide with the presence of random walk or spin-down epochs in the spin period evolution.
5. RELATIONSHIP BETWEEN SPIN AND SUPERORBITAL MODULATION
Long-term monitoring of accreting pulsars in the hard X-ray band was achieved by BATSE and
Considering the dynamic power spectrum, the spin period evolution of 4U 0114+650 is highly variable. In contrast, the superorbital modulation period is relatively stable. Both of these characteristics are related to the presence of an accretion disk, although no clear connection between the accretion disk and these phenomena was found (Farrell et al. 2006). However, unlike the stable nature of superorbital modulation, the modulation profile and detection significance are highly variable. To investigate the relation between the spin period and the superorbital modulation profile, we calculated the RMS amplitude of the superorbital modulation. With the same analysis as was used for the dynamic power spectrum, we obtained the variation of RMS amplitude with time; results are shown in Fig. 3. We show the spin signal as determined by
With the help of a dynamic power spectrum, we used