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New measurements of the cyclotron line energy in Cen X-3

Gunjan Tomar, 1 Pragati Pradhan, 2 and Biswajit Paul1
1Raman Research Institute, Astronomy and Astrophysics, C. V. Raman Avenue, Bangalore 560080. Karnataka, India
2Massachusetts Institute of Technology, 77 Massachusetts Ave. Cambridge, MA 02139, USA
E-mail: [email protected]
(Accepted XXX. Received YYY; in original form ZZZ)
Abstract

We report results from the analysis of data from two observations of the accreting binary X-ray pulsar Cen X-3 carried out with the broadband X-ray observatories Suzaku and NuSTAR. The pulse profile is dominated by a broad single peak and show some energy dependence with two additional weak pulse peaks at energies below 15 and 25  keV respectively. The broadband X-ray spectrum for 0.8-60.0  keV for Suzaku  and 3.0-60.0 keV for NuSTAR is fitted well with high energy cut-off power law model along with soft-excess, multiple iron emission lines and a cyclotron absorption. The cyclotron line energy is found to be 30.290.61+0.6830.29^{+0.68}_{-0.61} keV and 29.220.27+0.2829.22^{+0.28}_{-0.27} keV respectively in the Suzaku  and NuSTAR  spectra. We make a comparison of these two measurements with four previous measurements of CRSF in Cen X-3  obtained with Ginga, BeppoSAX  and RXTE. We find no evidence for a dependence of the CRSF on luminosity. Except for one CRSF measurement with BeppoSAX , the remaining measurements are consistent with a CRSF energy in the range of 29.5 - 30.0  keV over a luminosity range of 1.1-5.4 ×1037\times 10^{37} ergs s-1 different from several other sources that show considerable CRSF variation in the same luminosity range.

keywords:
X-rays: binaries, (stars:) pulsars: general, stars: neutron, X-rays: individual: Cen X-3
pubyear: 2020pagerange: New measurements of the cyclotron line energy in Cen X-33

1 Introduction

X-ray binaries are the brightest X-ray sources in our galaxy. High mass X-ray binaries (HMXBs) are the binary star systems consisting of a neutron star or a black hole and a donor star with mass \geq 10M. The persistent X-ray binaries are mostly powered by capture of matter from strong stellar wind of the companion star. For accretion onto a high magnetic field neutron star, the accreted material is channeled along the magnetic field lines onto the magnetic poles at relatively large distance from the surface of the compact object creating accretion funnels, where the X-ray emission is originated due to conversion of the gravitational potential energy of the infalling material to kinetic energy which is then released as X-rays due to shocks and dissipations into the accretion column and on the hot spots (Basko & Sunyaev 1975).
Cyclotron resonant scattering features (CRSF) or simply, cyclotron lines are usually seen in absorption against the continuum spectrum in many of these sources. In such strong magnetic fields, the energies of the electrons are quantized into equi-spaced Landau levels. Resonant scattering of hard X-ray photons on such electrons in line-forming region, results in cyclotron lines. CRSFs allow a direct measurement of the magnetic field since the energy of the former is directly related to the magnetic field as EC=11.6B1012G(1+z)1E_{\rm{C}}=11.6\frac{B}{10^{12}\,\rm{G}}(1+z)^{-1}n keV, where B12 is the magnetic field strength in units of 1012 G, n is the Landau level number, and z is the gravitational redshift at the line-forming region. n=1 and n=2, 3, 4.. correspond to the fundamental and harmonic cyclotron lines, respectively.
For a given source, the cyclotron line energy is often found to depend on X-ray luminosity LX. The correlation between the two was first observed in the transient source V 0332+53, in which the line energy decreases with increasing X-ray flux (Tsygankov et al. 2006). A positive correlation of CRSF energy with luminosity was first discovered in Her X-1 by Staubert et al. (2007). Since then, several other X-ray pulsars have been studied for the CRSF energy-LX relationship and it has been established that CRSF energy-luminosity relation is bimodal with source luminosity (Becker et al. 2012a) with the majority of sources showing a positive correlation (Staubert et al. 2019). Although, an unambiguous explanation is still lacking, different theoretical models have been proposed to explain these dependencies for e.g the shock-height model Becker et al. (2012a), or the reflection model of Poutanen et al. (2013).
In this paper, we focus on one of the most luminous persistent accreting X-ray pulsars in our galaxy, Cen X-3, first discovered with a rocket-borne detector (Chodil et al. 1967). Extensive follow-up observations with Uhuru revealed the binary and pulsar nature of the system (Giacconi et al. 1971, Schreier et al. 1972). The system is an HMXB consisting of a neutron star of mass 1.21±\pm0.21 M which emits pulsed X-rays every 4.8 s while orbiting an O-type supergiant v779 Cen (Krzeminski 1974) of mass and radius of 20.5±\pm0.7 M and 12 R, respectively every 2.1 days. Although a strong stellar wind emanates from the supergiant, an accretion disk fed by Roche lobe overflow was inferred from optical light curves by Tjemkes et al. (1986) in 1986, which supply most of the accretion fuel. The high luminosity of the star ( 5.0 ×1037\times 10^{37}erg s-1; Suchy et al. 2008) also suggests that the predominant mode of accretion is via a disk, as does the detection of QPO from the source (Takeshima et al. 1991, Raichur & Paul 2008). The distance to the binary system is estimated to be \sim 8 kpc (Krzeminski 1974).
The pulse phase averaged spectrum of X-ray pulsars is generally characterized by a flat power law with an energy index of 0.5-1.5 upto a high-energy cutoff at 10.0-20.0 keV. The analysis of BeppoSAX data shows that the broadband ( 0.12 - 100 keV ) spectrum of Cen X-3  is well fitted by an absorbed power-law continuum (photon index \sim 1.2) modified by a high-energy rollover (with cutoff energy \sim 14 keV and e-folding energy \sim 8 keV) smoothed around the cutoff energy with a soft excess below 1 keV interpreted as a blackbody with kT \sim 0.1 keV (Burderi et al., 2000). Additionally, iron K-emission lines at 6.4 keV, 6.67 keV and 6.97 keV are also clearly resolved (Ebisawa et al. 1996, Naik & Paul 2012). The 6.4 keV emission line is identified with the fluorescent iron Kα\alpha line due to reprocessing by cold circumstellar matter surrounding the binary system (Nagase 1989), whereas 6.67 keV and 6.97 keV lines are considered to be originated in the highly photoionized accretion disk corona(Kallman & White 1989). The analysis of Ginga data (Nagase et al., 1992) showed that the spectrum at high energy is better fitted with a Lorentzian shape high energy turn over which resembles the effects of cyclotron scattering feature, the presence of CRSF at \sim 28 keV has been confirmed by Santangelo et al. (1998) which implies a magnetic field at the surface of the neutron star of B = 2.98 ×\times 1012 G taking into account the effects of the gravitational field close to it.
In spite of being one of the brightest X-ray sources in the galaxy and one of the most studied accretion powered X-ray pulsars, the cyclotron line feature in Cen X-3, and especially its luminosity dependence is not studied extensively. Cen X-3 shows luminosity variation by a factor of upto 40 though it is a persistent X-ray source. Here we present timing and spectral analysis of two observations of Cen X-3 with the broadband X-ray missions Suzaku and NuStar. Along with detection of the cyclotron line in these two observations, we also compared the line energies with the previous reports, covering an X-ray luminosity range of 1.1-5.4 ×1037\times 10^{37} ergs s-1.

2 Observations, Data Reduction and analysis

Cen X-3 was observed once each with the Suzaku observatory Mitsuda et al. (2007) and the NuSTAR (The Nuclear Spectroscopic Telescope Array; Harrison et al. 2013). The observation log is given in Table 1. An orbital phase resolved spectroscopy was carried out using the same Suzaku  observation that reported many pre-eclipse dips (Naik et al. 2011).

Table 1: Observation log for Suzaku and NuSTAR
ObsID Start Date Exposure MJD
Suzaku 403046010
2008-12-08 33.43 ks 54808.37
NuSTAR 30101055002
2015-11-30 21.42 ks 57356.75

NuSTAR (Harrison et al. 2013), launched in 2012 is the first hard X-ray focusing telescope operating in the energy band 3.0-79.0 keV. It consists of two co-aligned telescopes that focus X-ray photons onto their respective Focal Plane Modules (FPMA and FPMB). Each module consists of a two-by-two array of CdZnTe pixel detectors, each with 32×\times32 0.6mm pixels which provide a 12’ field of view, an angular resolution of 18" (FWHM) and energy resolution of 400 eV at 10 keV and 900 eV at 60 keV (FWHM).
The NuSTAR  data was processed using NUSTARDAS (v1.8.0) along with CALDB v20190627. To extract the data products we used source-centered circular regions of 110" radius for both FPMA and FPMB. Background regions were extracted with an equivalent area away from the source. No contamination from stray light was observed. We then applied barycentric correction to the NuSTAR  clean science event files to correct for X-ray photon arrival times using FTOOL barycorr. Light curves were extracted with a bin size of 20 ms and spectra from the corrected event files using the task nuproducts. The timing and spectral analysis was performed with HEASOFT v6.26.1 package.
Suzaku consists of two main payloads: the X-ray Imaging Spectrometer (XIS, 0.2-12 keV; Koyama et al. 2007) and the Hard X-ray Detector (HXD, 10-600 keV; Takahashi et al. 2007). The XIS consists of four CCD detectors of which three (XIS 0, 2 and 3) are front illuminated (FI) and one (XIS 1) is back illuminated (BI). The HXD comprises PIN diodes and GSO crystal scintillator detectors.
The Suzaku observation was made in 1/4 window mode and data reduction was done on the filtered ‘cleaned’ event files111http://heasarc.gsfc.nasa.gov/docs/suzaku/analysis/abc/ following the reduction technique mentioned in the Suzaku ABC guide. We applied barycentric correction to all event files using aepipeline. In case of CCD data as obtained by XIS, we had to take care of pile-up which is two photons of lower energy being read as one with higher energy which may cause artifical hardening of the X-ray spectrum. We discarded photons collected within the portion of the PSF where the estimated pile-up fraction was greater than 4 % (determined using the FTOOLS task pileest) by choosing a source region with an annulus of 33^{{}^{\prime}} radius and excluding the inner 15 arc-seconds of this annulus. Background for the XIS were extracted by selecting circular regions of the same size of 33^{{}^{\prime}} radius in a portion of the CCD that was not significantly contaminated by the source X-ray mission. XIS lightcurves and spectra were therefore extracted for these source and background regions.

Being a photon counting detector, data from PIN detector have to be corrected for deadtime which is the time interval for which the detector electronics are processing one photon and thus cannot yet detect the arrival of another. This dead time correction was done using FTOOLS task hxddtcor. For the HXD/PIN, simulated ‘tuned’ non X-ray background event files (NXB) corresponding to the month and year of the respective observations were used to estimate the non X-ray background 222http://heasarc.nasa.gov/docs/suzaku/analysis/pinbgd.html(Fukazawa et al., 2009).
The XIS spectra were extracted with 2048 channels and the PIN spectra with 255 channels. Response files for the XIS were created using the CALDB version ‘20150312’. For the HXD/PIN spectrum, response files corresponding to the epoch of the observation were obtained from the Suzaku guest observer facility333http://heasarc.nasa.gov/docs/heasarc/caldb/suzaku/.

2.1 Timing analysis

Refer to caption
Figure 1: Energy resolved pulse profiles generated for Cen X-3  from Suzaku HXD/PIN lightcurves. The lightcurves were corrected for orbital motion of the neutron star and barycenter corrected as well. See text for details. The corresponding energy range for each profile is noted in the inset.

2.1.1 Suzaku 

The Suzaku XIS observation was carried out in 1/4 window mode which reads a part of the CCD array and has a time resolution of 2  s. Since the spin period of Cen X-3 is \sim 4.8  s comparable to the time-resolution in this window mode, we are unable to use the XIS lightcurves for timing analysis and therefore only focus on the HXD/PIN lightcurves. The Suzaku observation covered one full binary orbit of Cen X-3, including the eclipse and many absorption dips (Naik et al., 2011). In the present work, data excluding the eclipse and dips have been considered (Segments D-H in Figure 3 of Naik et al. 2011)

We also corrected for orbital motion of the pulsar, by correcting for the arrival times in the PIN lightcurves using the orbital parameters from Falanga et al. (2015) extrapolated to the observation time. Finally, the PIN lightcurves were background subtracted by generating a background lightcurve using the simulated background files 444http://heasarc.nasa.gov/docs/suzaku/analysis/pinbgd.html(Fukazawa et al., 2009). We use efsearch to determine a pulse period of the pulsar. In order to measure the period derivative, we first divided the light curve into smaller segments and noted the period in each segment and the corresponding lightcurve duration. The difference in the periods divided by the total duration of each light curve give an approximate value of period derivative. We further refined the period derivative by carrying out the pulse period determination repeatedly with different trial period derivatives to obtain maximum χ2\chi^{2} for a period derivative of -3.37×\times10-11 ss-1 for spin period of 4.80461  s (±\pm 0.00006) at MJD 54808. This value was used to fold the HXD lightcurves and obtain the energy-resolved pulse-profiles shown in Fig.  1. As seen in the figure, the pulse profiles are dominated by a single peak and show mild evolution with energy, especially the bump at ϕ\phi = 0.05 below 25  keV.

Refer to caption
Figure 2: Energy resolved pulse profiles for Cen X-3  from NuSTAR  FPMA (green) and FPMB (red).

2.1.2 NuSTAR 

For timing analysis with NuSTAR data, 20 ms binned NuSTAR  lightcurves were extracted from the barycentric corrected event files using the task nuproducts. Similar to Suzaku lightcurves, the light travel time due to orbital motion were corrected for each NuSTAR lightcurves by using the orbital parameters from Falanga et al. (2015) extrapolated to the time of the NuSTAR observation. During this observation, the pulse period was determined using the epoch folding technique ( with the tool efsearch in FTOOLS ). The period derivative was found to be consistent with zero.
To investigate the energy dependence of pulse profile, energy resolved pulse profiles were generated by folding the light curves over the best period determined (4.8026 ±0.0002\pm 0.0002 s) in four different energy bands: 3.0-15.0 keV, 15.0-25.0 keV, 25.0-32.0 keV and 32.0-60.0 keV. The pulse phase was chosen to have the phase of the pulse peak aligned with the same in the Suzaku  pulse profile. Fig. 2 shows the resulting pulse profiles. At ϕ\phi\sim 0.75, a secondary pulse peak is visible in the low energy range (3.0-15.0 keV) which decreases as we go to higher energy ranges. An additional narrow and small peak is also visible at ϕ\phi\sim 0.05 below 25 keV similar to the feature observed in Suzaku observation. While the pulse profile has these two additional features in the low energy bands, it is seen that the pulse profile in the higher energy bands has single-peaked shape. No variation in the position of the primary peak was observed.

2.2 Spectral analysis

2.2.1 Suzaku 

We performed pulse phase averaged spectral analysis of Cen X-3 using data from three XIS (0, 1 and 3) and the HXD/PIN (shown in Figure 3). Spectral fitting was performed using XSPEC v12.10.0e. Artificial structures are known in the XIS spectra around the Si edge and Au edge and the energy range of 1.75-2.23 keV is usually not used for spectral fitting. We fitted the spectra simultaneously with all parameters tied, except the relative instrument normalizations which were kept free. The 2048 channel XIS spectra were rebinned by a factor of 6 upto 4.2 keV, by 2 from 4.2-4.7 keV by 14 for the rest. The PIN spectra were binned by a factor of 4 till 22.5 keV, by 6 from 22.5-45 keV, and by 10 for the rest.

The hard X-ray spectral continuum is typically described by different phenomenological models consisting of a power-law with high-energy cutoffs of various functional forms (’highecut’, ’fdcut’ and ’newhcut’) usually adopted for highly magnetised accreting neutron stars. Other models based on the work by Becker & Wolff (2007) that directly models the physical processes in the accretion column leading to the production of hard X-ray continuum are being tested and revised. We fit the X-ray spectrum of Cen X-3 with such standard continuum models 555http://heasarc.gsfc.nasa.gov/xanadu/xspec/manual/XspecModels.html used for NS-HMXBs  like CUTOFFPL, COMPTT and NEWHCUT(Burderi et al. 2000). All these models provided comparable fits with the lowest reduced χ2\chi^{2} given by a smooth high energy cutoff model (NEWHCUT). We therefore use this model for further fitting. To the continuum model, we also add a blackbody component to take care of the soft excess below 2  keV, a feature ubiquitous to HMXBs (Paul et al., 2002; Hickox et al., 2004) and also used by various authors to specifically fit the Cen X-3 spectrum (Burderi et al., 2000; Naik et al., 2011). In addition to this, the XIS spectrum of Cen X-3 is also rich in Fe lines caused by fluorescent emission of primary X-rays from the neutron star with the surrounding matter (Naik et al., 2011). We include three Gaussian in the fits to account for the iron emission lines at 6.4 keV, 6.7 keV, and 6.97 keV. Finally, to describe the CRSF, which is clearly seen in the X-ray spectrum, we used a multiplicative absorption line with a Gaussian optical depth profile (gabs in XSPEC). The centroid energy of CRSF for the best-fit is Ecyc=30.290.61+0.68{E_{cyc}=30.29^{+0.68}_{-0.61}} keV. A complete list of spectral parameters used for this fitting is shown in Table 2 and the 0.8-60 keV Suzaku spectrum is shown in Figure 3. The 2-10 keV flux for the best-fit model with gabs is 3.18×1093.18\times 10^{-9} ergs cm-2 s-1.

Refer to caption
Figure 3: Panel A shows the broadband continuum in 0.8-60.0 keV energy range obtained from Suzaku with the best-fit model powerlaw*newhcut with a Gaussian absorption feature (gabs for cyclotron line), iron emission lines, and an additional blackbody component. Panel B corresponds to the residual to the model fit without gabs. Panel C shows residuals to the model setting strength of cyclotron line to zero, but leaving the other parameters at their best fit values and panel D corresponds to the residuals to the best fit model with gabs. The residuals are plotted in unit of the error bar for each bin, representing their contribution to the chi-squared.

[t] Parameter Value1 Value2 \bigstrut nH 1.53±0.02×1022cm21.53\pm 0.02\times 10^{22}cm^{-2} 1.53±0.02×1022cm21.53\pm 0.02\times 10^{22}cm^{-2} \bigstrut kT 0.118±0.0030.118\pm 0.003 keV 0.118±0.0030.118\pm 0.003 keV\bigstrut Normbb3 0.0310.003+0.0040.031^{+0.004}_{-0.003} 0.030±0.0040.030\pm 0.004\bigstrut PhoIndex 1.037±0.0061.037\pm 0.006 1.038±\pm 0.006 \bigstrut Normpo4 0.283±0.0030.283\pm 0.003 0.284±0.0030.284\pm 0.003 \bigstrut Ecut 15.090.79+0.7115.09^{+0.71}_{-0.79} keV 14.790.50+0.4114.79^{+0.41}_{-0.50} keV \bigstrut Efold 8.330.19+0.208.33^{+0.20}_{-0.19} keV 7.22±0.097.22\pm 0.09 keV\bigstrut Smoothing width5 5.0 keV 5.0 keV\bigstrut Ecyc 30.290.61+0.6830.29^{+0.68}_{-0.61} keV - \bigstrut σcyc\sigma_{cyc} 5.000.79+0.965.00^{+0.96}_{-0.79} keV - \bigstrut τcyc\tau_{cyc} 0.396 ±\pm 0.128 - \bigstrut EFe 6.402±0.0036.402\pm 0.003 keV 6.4020.003+0.0026.402^{+0.002}_{-0.003} keV\bigstrut σFe\sigma_{Fe} 0.047 keV 0.047 keV\bigstrut EqwFe 0.0850.02+0.03{}^{+0.03}_{-0.02} keV 0.08520.03+0.02{}^{+0.02}_{-0.03} keV\bigstrut EFe 6.67 keV 6.67 keV\bigstrut σFe\sigma_{Fe} 0.006 keV 0.006 keV\bigstrut EqwFe 0.0310.004+0.003{}^{+0.003}_{-0.004} keV 0.031±0.03\pm 0.03 keV\bigstrut EFe 6.97 keV 6.97 keV\bigstrut σFe\sigma_{Fe} 0.0820.017+0.0180.082^{+0.018}_{-0.017} keV 0.0830.017+0.0180.083^{+0.018}_{-0.017} keV\bigstrut EqwFe 0.041±0.002\pm 0.002 keV 0.041±0.02\pm 0.02 keV\bigstrut Flux6 3.18×1093.18\times 10^{-9} 3.18×1093.18\times 10^{-9}\bigstrut χred2/{\chi_{red}^{2}}/d.o.f 1.63/635 1.99/638 \bigstrut

Table 2: Suzaku: Results of the fit in the energy range 0.8-60.0 keV
  • Note: The error bars are quoted at 90% confidence limit.
  • 1

    Model: phabs*(powerlaw*newhcut*gabs + bb + ga + ga + ga)

  • 2

    Model: phabs*(powerlaw*newhcut + bb + ga + ga + ga)

  • 3

    in units of L39/D210{}_{10}^{2} where L39 is source luminosity in units of 1039 ergs/s and D10 is source distance in units of 10 kpc.

  • 4

    in units of photons/keV/cm2/s at 1 keV.

  • 5

    in the energy range of E±cut5{}_{cut}\pm 5 keV, a third order polynomial function is used to have a smooth high energy cut-off.(Burderi et al. 2000)

  • 6

    2-10 keV flux in units of ergs cm-2 s-1.

2.2.2 NuSTAR

We carried out spectral fitting of the pulse phase averaged NuSTAR  FPMA and FPMB spectra simultaneously, leaving a normalization constant free to vary between the two spectra. The spectra were fitted in the energy range 3.0-60.0 keV. The energy ranges below and above this were neglected due to limited statistics. We grouped the spectral data from both FPMA and FPMB to collect at least 30 counts per bin. The best spectral fitting was obtained with NEWHCUT (Burderi et al. 2000). The photoelectric absorption in the low energy part of the spectra was taken into account using the phabs model in XSPEC. Due to no spectral coverage of NuSTAR  below 3 keV, the value of nH was frozen at the Galactic hydrogen column density towards the source, 1.1 ×1022\times 10^{22} cm -2 666https://heasarc.gsfc.nasa.gov/cgi-bin/Tools/w3nh/w3nh.pl. A blackbody component with a temperature of \sim 0.118 keV can also not be constrained. We therefore added a partial covering absorption model (pcfabs in XSPEC) to take local absorption into account. Since the resolution of NuSTAR  is not high enough to clearly resolve the three iron emission lines at 6.4 keV, 6.67 keV and 6.97 keV (Ebisawa et al. 1996), we modelled these as additive Gaussian lines (Naik et al., 2011) with fixed centroid line energies allowing the respective sigma and normalizations to vary. The equivalent width of each is determined. The emission line at 6.97 keV is not significant in the NuSTAR spectrum likely due to low resolution of the instrument. The residuals in panel B (see Figure 4) suggests a cyclotron resonant scattering feature. To investigate this, we used a multiplicative absorption line with a Gaussian optical depth profile (gabs in XSPEC). The centroid energy of CRSF for the best-fit is EcycE_{cyc} = 29.220.27+0.28{29.22^{+0.28}_{-0.27}} keV. The addition of gabs reduced the χred2/d.o.f{\chi_{red}^{2}}/{d.o.f} of the fit from 1.714/1633 to 1.097/1630 (Table 3) . The 2-10 keV flux for the best-fit model with gabs is 1.589×109{1.589\times 10^{-9}} ergs cm-2 s-1.

Refer to caption
Figure 4: Panel A shows the broadband continuum in in 3.0-60.0 keV energy range obtained from NuSTAR with the best-fit model powerlaw*newhcut*pcfabs with a Gaussian absorption feature (gabs for cyclotron line) and iron emission lines. Panel B corresponds to the residuals to the model fit without gabs. Panel C shows residuals to the model setting strength of cyclotron line to zero, but leaving the other parameters at their best fit values and panel D corresponds to the residuals to the best fit model with gabs. The residuals are plotted in unit of the error bar for each bin, representing their contribution to the chi-squared.

[t]

Table 3: NuSTAR:Results of the fit in the energy range 3.0-60.0 keV
Parameter Value1 Value2 \bigstrut
NH1 1.10×10221.10\times 10^{22}cm-2 1.1×10221.1\times 10^{22} cm-2 \bigstrut
NH2 21.65×1.12+1.071022{}^{+1.07}_{-1.12}\times 10^{22}cm-2 22.10×1.07+1.051022{}^{+1.05}_{-1.07}\times 10^{22}cm-2 \bigstrut
CvrFrac 0.590±0.009\pm 0.009 0.601±0.009\pm 0.009 \bigstrut
PhoIndex 1.21±0.011.21\pm 0.01 1.23±0.011.23\pm 0.01 \bigstrut
Normpo3 0.275±0.0130.275\pm 0.013 0.2890.013+0.0140.289^{+0.014}_{-0.013} \bigstrut
Ecut 14.14±0.0614.14\pm 0.06 keV 14.53±0.0514.53\pm 0.05 keV \bigstrut
Efold 8.88±0.108.88\pm 0.10 keV 7.56±0.057.56\pm 0.05 keV \bigstrut
Smoothing width4 5.0 keV 5.0 keV \bigstrut
Ecyc 29.220.27+0.2829.22^{+0.28}_{-0.27} keV - \bigstrut
σcyc\sigma_{cyc} 4.370.24+0.254.37^{+0.25}_{-0.24} keV - \bigstrut
τcyc\tau_{cyc} 0.417 ±\pm 0.044 - \bigstrut
EFe 6.4 keV 6.4 keV \bigstrut
σFe\sigma_{Fe} 0.007 keV 0.007 keV \bigstrut
EqwFe 0.038±0.004\pm 0.004 keV 0.037±0.004\pm 0.004 keV \bigstrut
EFe 6.67 keV 6.67 keV \bigstrut
σFe\sigma_{Fe} 0.53±0.03\pm 0.03 keV 0.530.03+0.04{}^{+0.04}_{-0.03} keV \bigstrut
EqwFe 0.1170.007+0.011{}^{+0.011}_{-0.007} keV 0.1130.009+0.009{}^{+0.009}_{-0.009} keV \bigstrut
EFe 6.97 keV 6.97 keV \bigstrut
σFe\sigma_{Fe} 0.0003 keV 0.0003 keV \bigstrut
EqwFe 0.00326±0.00001\pm 0.00001keV 0.003260.00002+0.00001{}^{+0.00001}_{-0.00002} keV \bigstrut
Flux5 1.589×1091.589\times 10^{-9} 1.589×1091.589\times 10^{-9} \bigstrut
χred2/{\chi_{red}^{2}}/d.o.f 1.097/1630 1.714/1633\bigstrut
  • Note: The error bars are quoted at 90% confidence limit.
  • 1

    Model: phabs*(powerlaw*newhcut*gabs*pcfabs + ga + ga + ga)

  • 2

    Model: phabs*(powerlaw*newhcut*pcfabs + ga + ga + ga)

  • 3

    in units of photons/keV/cm2/s at 1 keV.

  • 4

    in the energy range of E±cut5{}_{cut}\pm 5 keV, a third order polynomial function is used to have a smooth high energy cut-off.(Burderi et al. 2000)

  • 5

    2-10 keV flux in units of ergs cm-2 s-1.

3 Discussion

We have presented results from a detailed timing and spectral analysis of the HMXB Cen X-3 with Suzaku and NuSTAR. The pulse profiles are found to vary with energy. Although similar dependence was presented in previous works by Suchy et al. (2008) and Raichur & Paul (2010), we observed an additional feature, a bump at ϕ\phi\sim 0.05 below 25 keV in both Suzaku and NuSTAR observations. A similar bump at ϕ\phi\sim 0.05 was observed in 0.1-1.8 keV energy range by Burderi et al. (2000).
We also presented measurements of the cyclotron line feature in the Suzaku and NuSTAR data. In both Suzaku and NuSTAR spectra, we use the gaussian absorption model GABS to find the cyclotron line at 30.29 keV and 29.22 keV respectively.
To look for any variation of cyclotron line with luminosity, we used the line measurements from earlier observations of Cen X-3 . The energy of cyclotron resonance scattering feature Ec in the pulse averaged X-ray spectrum of Cen X-3 as reported in several papers since its discovery is presented in Table 3. The flux for all the previous measurements were reported for 2-10 keV energy band except for GINGA-LAC . For the comparison, the 2-30 keV energy band flux reported for GINGA-LAC  measurement was corrected in 2.0-10.0 keV energy range using fc=fpo×fRfRpof_{c}=f^{po}\times\frac{f_{R}}{f^{po}_{R}} where fpof^{po} and fRpof^{po}_{R} are the power law model flux in 2-10 keV band and 2-30 keV energy range respectively with Γ\Gamma=1.01 and norm=po1{}_{po}=1 and fRf_{R} is the flux in the 2-30 keV energy range as reported in the paper. It is noted that different continuum and cyclotron line models were used to fit the spectra from different instruments. To allow a comparison of the values obtained with the previous measurements, we fitted the NuSTAR spectrum with the same models as adopted in these works for the spectrum obtained with GINGA-LAC,  RXTE  and BeppoSAX (see Table 3). We obtained a CRSF energy value of 29.2   keV with the models used for RXTE  and BeppoSAX  spectrum which is consistent with the value obtained with our NuSTAR  model. For the Nagase et al. (1992) model used for GINGA-LAC  spectrum, in the final fit, the high-energy cutoff was replaced by Lorentzian cyclotron line component (cylabs; Mihara et al. (1990), Makishima et al. (1990)). This model provided a value of 27.5   keV for NuSTAR  spectrum compared to the value 29.2   keV obtained with gabs. The CRSF energy measured with GINGA-LAC  has larger error and it is also less certain as the spectrum was just upto above 30   keV and barely covered the cyclotron line. We also note here that the GINGA-LAC  results showed a much larger optical depth of the CRSF compared to all the other observations. As the spectrum did not cover as high energy as the other instruments like RXTE , BeppoSAX , NuSTAR  and Suzaku , it also did not require a high energy cutoff. We notice that except one CRSF measurement with Beppo-SAX (Santangelo et al. 1998), all are consistent with a CRSF energy in the range of 29.5-30.0 keV over a luminosity range of 1.1-5.4×1037\times 10^{37}ergs s-1, while sources like V 0332+52 shows about 20%\% CRSF energy variation in the same luminosity range (Tsygankov et al. 2006). A lower CRSF value in one of the BeppoSAX  observations, however, corresponds to a luminosity that is in the middle of this entire luminosity range and therefore does not indicate a luminosity dependence of the line energy. An average value of E=cyc{}_{cyc}= 29.7 keV was calculated considering the minimum and the maximum observed cyclotron line energies with the respective uncertainties. Including all the reported results, the upper limit on CRSF energy variation between measurements is ±\pm 7.7% (\sim 2.3 keV) around the average value including the statistical errors and any systematic errors in each of the measurements. We do not find a correlation of the cyclotron line energy with luminosity (Fig.  5) for Cen X-3. While comparing spectral parameters like the CRSF using data from different observations, inter-calibration of different instruments also needs to be considered. In Cen X-3, the variation between different measurements is within 2.3 keV of the average value while in 4U 1538-52, the variation is within about 1.5 keV of the average value (Varun et al. 2019, Hemphill et al. 2019). Lack of detection of significant variation in the cyclotron line energy also indicates good inter-calibration of the different instruments within a few percent.
Such studies for the variation of cyclotron line with luminosity has been carried out earlier for other X-ray pulsars, notable ones being Her X-1 and Vela X-1 both of which show a positive correlation (see., Staubert et al. 2019 for review) with luminosity. Like in the case of V 0332+53, the energy of the fundamental CRSF in another brightest known CRSF source, SMC X-2 (Jaisawal & Naik 2016) is negatively correlated with LX, while Her X-1 (Staubert et al. 2007), GX 304-1 (Klochkov et al. 2012; Malacaria et al. 2015;Rothschild et al. 2016), A 0535+26 (Sartore et al., 2015), Vela X-1 (Fürst et al., 2014), Cep X-4 (Vybornov et al., 2017) show a positive correlation. There are also X-ray pulsars with tentative evidence of correlation between CRSF energy and luminosity but so far not confirmed, such as 4U 0115+63 (Iyer et al., 2015) and 4U 1538-522 (Hemphill et al., 2014). It is now a general consensus that the variation of cyclotron line energy is due to the change in the line formation region above the neutron star surface with X-ray luminosity (Becker et al., 2012b). For typical luminosities less than 1037 erg s-1, the matter stops close to the stellar surface and therefore, the location of line forming region is independent of X-ray flux. Above this luminosity, matter is stopped well above the stellar surface because of shock formation (Coulomb interaction dominated). Since the ram pressure increase with increased accretion rate, it pushes the shock region towards the neutron star surface where the magnetic field is higher. This causes the positive correlation of line energy with flux (Staubert et al., 2007). Furthermore, if the Eddington luminosity exceed the critical luminosity ( \sim 3 ×\times 1037 erg s-1 ) for typical neutron star parameters, a radiation-dominated shock forms. With the increase in accretion rate, this shock formation region move away from the stellar surface and an anti-correlation of the CRSF energy with luminosity is expected.
A long-term decay in CRSF energy between 1992 to 2012 was assessed in Her X-1 (Staubert et al. 2014). Similar to Her X-1, long-term decrease was found in Vela X-1 (La Parola et al. 2016). The observed decrease could be attributed to the change of magnetic field configuration at the polar cap or the geometric displacement of the line forming region (Staubert et al. 2014). On the contrary, a positive trend with 5%\% increase in CRSF energy from 1996 to 2012 was observed in 4U 1538-52 (Hemphill et al. 2016). Although the evidence of a long-term change in CRSF energy has been seen in few sources until now, previous works have noted that the centroid line energy in Cen X-3 is stable over the past 14 years, at 31.6±\pm 0.2 keV as seen in the Swift/BAT data (Ji et al., 2019). The current work examines the possible variation of the cyclotron line energy of Cen X-3 over a period of close to 27 years and concludes that there is no evidence for a time variability of the CRSF nor a luminosity dependence.

Refer to caption
Figure 5: Ec vs Luminosity in the energy band 2.0-10.0 keV (See table 3 for details). The dashed line here represents the average value while the dotted lines correspond to the maximum CRSF energy variation around the average value.
Table 4: Cyclotron line observations for Cen X-3
S.no. Date of observations Observatory Fluxa (ergs cm-2 s-1) Luminosityb (ergs s-1) Cyclotron Line Parametersc\bigstrut
1. 22-24 Mar., 1989 GINGA-LAC1 1.9×1091.9\times 10^{-9} * 1.4×10371.4\times 10^{37} Ec=30±2E_{c}=30\pm 2 σ=3.0±0.3\sigma=3.0\pm 0.3 τ=3.0±0.3\tau=3.0\pm 0.3 \bigstrut
2. 17 Feb., 1997 BeppoSAX2 - 4.3×10374.3\times 10^{37} Ec=27.9±0.5E_{c}=27.9\pm 0.5 σ=4.16±0.8\sigma=4.16\pm 0.8 τ=0.53\tau=0.53\bigstrut
3. 27-28 Feb., 1997 BeppoSAX3 5.7×1095.7\times 10^{-9} 4.4×10374.4\times 10^{37} Ec=30.6±0.6E_{c}=30.6\pm 0.6 σ=5.9±0.7\sigma=5.9\pm 0.7 τ=0.77\tau=0.77 \bigstrut
4. 28 Feb.-3 Mar., 1997 RXTE-HEXTE (PCA)4 - 5.4×10375.4\times 10^{37} Ec=30.70.4+0.5E_{c}=30.7^{+0.5}_{-0.4} σ=6.40.8+1.0\sigma=6.4{{}^{+1.0}_{-0.8}} τ=0.670.07+0.17\tau=0.67{{}^{+0.17}_{-0.07}} \bigstrut
5. 8 Dec., 2008 Suzaku5 3.18×109\times 10^{-9} 2.30 ×1037\times 10^{37} Ec=30.290.61+0.68E_{c}=30.29^{+0.68}_{-0.61} σ\sigma = 5.000.79+0.965.00^{+0.96}_{-0.79} τ\tau = 0.396 ±\pm 0.128 \bigstrut
6. 30 Nov., 2015 NuSTAR5 1.589×109\times 10^{-9} 1.149×1037\times 10^{37} Ec=29.220.27+0.28E_{c}=29.22^{+0.28}_{-0.27} σ\sigma = 4.370.24+0.254.37^{+0.25}_{-0.24} τ\tau = 0.417 ±\pm 0.044 \bigstrut
  • *

    Corrected flux in 2.0-10.0 keV (See Discussion.)

Flux in the energy range 2.0-10.0 keV.

Assuming a distance of 8 kpc.

EcE_{c} and σ\sigma are in the units of keV. τ\tau is the optical depth.

Ref: Nagase et al. (1992)

Ref: Santangelo et al. (1998)

Ref: Burderi et al. (2000)

Ref: Suchy et al. (2008)

This work.

Acknowledgements

We thank the anonymous referee for providing very valuable comments. This research has made use of archival data and software provided by NASA’s High Energy Astrophysics Science Archive Research Center (HEASARC)777https://heasarc.gsfc.nasa.gov/, which is a service of the Astrophysics Science Division at NASA/GSFC. The scientific results are based on the data obtained from the Suzaku satellite, a collaborative mission between the space agencies of Japan (JAXA) and the USA (NASA) and NuSTAR mission, a project led by the California Institute of Technology, managed by the Jet Propulsion Laboratory, and funded by the National Aeronautics and Space Administration.

Data Availability

The observational data underlying this work is publicly available through High Energy Astrophysics Science Archive Research Center (HEASARC). Any additional information will be shared on reasonable request to the corresponding author.

References

  • Basko & Sunyaev (1975) Basko M. M., Sunyaev R. A., 1975, A&A, 42, 311
  • Becker & Wolff (2007) Becker P. A., Wolff M. T., 2007, ApJ, 654, 435
  • Becker et al. (2012a) Becker P. A., et al., 2012a, A&A, 544, A123
  • Becker et al. (2012b) Becker P. A., et al., 2012b, A&A, 544, A123
  • Burderi et al. (2000) Burderi L., Di Salvo T., Robba N. R., La Barbera A., Guainazzi M., 2000, ApJ, 530, 429
  • Chodil et al. (1967) Chodil G., Mark H., Rodrigues R., Seward F. D., Swift C. D., 1967, ApJ, 150, 57
  • Ebisawa et al. (1996) Ebisawa K., Day C. S. R., Kallman T. R., Nagase F., Kotani T., Kawashima K., Kitamoto S., Woo J. W., 1996, Publications of the Astronomical Society of Japan, 48, 425
  • Falanga et al. (2015) Falanga M., Bozzo E., Lutovinov A., Bonnet-Bidaud J. M., Fetisova Y., Puls J., 2015, A&A, 577, A130
  • Fukazawa et al. (2009) Fukazawa Y., et al., 2009, PASJ, 61, 17
  • Fürst et al. (2014) Fürst F., et al., 2014, ApJ, 780, 133
  • Giacconi et al. (1971) Giacconi R., Gursky H., Kellogg E., Schreier E., Tananbaum H., 1971, ApJ, 167, L67
  • Harrison et al. (2013) Harrison F. A., et al., 2013, The Astrophysical Journal, 770, 103
  • Hemphill et al. (2014) Hemphill P. B., Rothschild R. E., Markowitz A., Fürst F., Pottschmidt K., Wilms J., 2014, ApJ, 792, 14
  • Hemphill et al. (2016) Hemphill P. B., et al., 2016, MNRAS, 458, 2745
  • Hemphill et al. (2019) Hemphill P. B., et al., 2019, ApJ, 873, 62
  • Hickox et al. (2004) Hickox R. C., Narayan R., Kallman T. R., 2004, ApJ, 614, 881
  • Iyer et al. (2015) Iyer N., Mukherjee D., Dewangan G. C., Bhattacharya D., Seetha S., 2015, MNRAS, 454, 741
  • Jaisawal & Naik (2016) Jaisawal G. K., Naik S., 2016, MNRAS, 461, L97
  • Ji et al. (2019) Ji L., Staubert R., Ducci L., Santangelo A., Zhang S., Chang Z., 2019, MNRAS, 484, 3797
  • Kallman & White (1989) Kallman T., White N. E., 1989, ApJ, 341, 955
  • Klochkov et al. (2012) Klochkov D., et al., 2012, A&A, 542, L28
  • Koyama et al. (2007) Koyama K., et al., 2007, PASJ, 59, 23
  • Krzeminski (1974) Krzeminski W., 1974, ApJ, 192, L135
  • La Parola et al. (2016) La Parola V., Cusumano G., Segreto A., D’Aì A., 2016, MNRAS, 463, 185
  • Makishima et al. (1990) Makishima K., et al., 1990, ApJ, 365, L59
  • Malacaria et al. (2015) Malacaria C., Klochkov D., Santangelo A., Staubert R., 2015, A&A, 581, A121
  • Mihara et al. (1990) Mihara T., Makishima K., Ohashi T., Sakao T., Tashiro M., 1990, Nature, 346, 250
  • Mitsuda et al. (2007) Mitsuda K., et al., 2007, PASJ, 59, 1
  • Nagase (1989) Nagase F., 1989, PASJ, 41, 1
  • Nagase et al. (1992) Nagase F., Corbet R. H. D., Day C. S. R., Inoue H., Takeshima T., Yoshida K., Mihara T., 1992, ApJ, 396, 147
  • Naik & Paul (2012) Naik S., Paul B., 2012, Bulletin of the Astronomical Society of India, 40, 503
  • Naik et al. (2011) Naik S., Paul B., Ali Z., 2011, The Astrophysical Journal, 737, 79
  • Paul et al. (2002) Paul B., Nagase F., Endo T., Dotani T., Yokogawa J., Nishiuchi M., 2002, ApJ, 579, 411
  • Poutanen et al. (2013) Poutanen J., Mushtukov A. A., Suleimanov V. F., Tsygankov S. S., Nagirner D. I., Doroshenko V., Lutovinov A. e. A., 2013, ApJ, 777, 115
  • Raichur & Paul (2008) Raichur H., Paul B., 2008, ApJ, 685, 1109
  • Raichur & Paul (2010) Raichur H., Paul B., 2010, MNRAS, 401, 1532
  • Rothschild et al. (2016) Rothschild R. E., et al., 2016, in AAS/High Energy Astrophysics Division #15. AAS/High Energy Astrophysics Division. p. 120.21
  • Santangelo et al. (1998) Santangelo A., del Sordo S., Segreto A., dal Fiume D., Orlandini M., Piraino S., 1998, A&A, 340, L55
  • Sartore et al. (2015) Sartore N., Jourdain E., Roques J. P., 2015, ApJ, 806, 193
  • Schreier et al. (1972) Schreier E., Levinson R., Gursky H., Kellogg E., Tananbaum H., Giacconi R., 1972, ApJ, 172, L79
  • Staubert et al. (2007) Staubert R., Shakura N. I., Postnov K., Wilms J., Rothschild R. E., Coburn W., Rodina L., Klochkov D., 2007, A&A, 465, L25
  • Staubert et al. (2014) Staubert R., Klochkov D., Wilms J., Postnov K., Shakura N. I., Rothschild R. E., Fürst F., Harrison F. A., 2014, A&A, 572, A119
  • Staubert et al. (2019) Staubert R., et al., 2019, A&A, 622, A61
  • Suchy et al. (2008) Suchy S., et al., 2008, The Astrophysical Journal, 675, 1487
  • Takahashi et al. (2007) Takahashi T., et al., 2007, PASJ, 59, 35
  • Takeshima et al. (1991) Takeshima T., Dotani T., Mitsuda K., Nagase F., 1991, PASJ, 43, L43
  • Tjemkes et al. (1986) Tjemkes S. A., Zuiderwijk E. J., van Paradijs J., 1986, A&A, 154, 77
  • Tsygankov et al. (2006) Tsygankov S. S., Lutovinov A. A., Churazov E. M., Sunyaev R. A., 2006, MNRAS, 371, 19
  • Varun et al. (2019) Varun , Maitra C., Pradhan P., Raichur H., Paul B., 2019, MNRAS, 484, L1
  • Vybornov et al. (2017) Vybornov V., Klochkov D., Gornostaev M., Postnov K., Sokolova-Lapa E., Staubert R., Pottschmidt K., Santangelo A., 2017, A&A, 601, A126