Open Access
Issue
A&A
Volume 678, October 2023
Article Number A119
Number of page(s) 10
Section Stellar structure and evolution
DOI https://doi.org/10.1051/0004-6361/202346994
Published online 12 October 2023

© The Authors 2023

Licence Creative CommonsOpen Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This article is published in open access under the Subscribe to Open model. Subscribe to A&A to support open access publication.

1. Introduction

Accreting X-ray pulsars (XRPs; see Mushtukov & Tsygankov 2022, for a recent review) are highly magnetized neutron stars (NSs) with a surface magnetic field strength of 1012–1013 G orbiting early-type (typically O-B) donor stars. A pulsar accretes matter lost by the donor star through the stellar wind or, in the case of Be systems, a decretion disk. In some systems, an accretion disk around the NS may also form. The accretion flow in the vicinity of the NS surface is governed by the magnetic field, and the accreting matter forms hotspots near the NS magnetic poles radiating in the X-ray band. There are no commonly accepted models of the radiating regions; however, it is clear that at high enough mass accretion rates, the emitting hotspots transform to radially extended accretion columns (Basko & Sunyaev 1976; Becker et al. 2012; Mushtukov et al. 2015).

Radiation generated by plasma in a strong magnetic field was previously expected to be highly polarized at the photon energies below the cyclotron energy because of the birefringence of magnetized plasma (see, e.g., Harding & Lai 2006; Caiazzo & Heyl 2021). Testing this prediction recently became possible thanks to the Imaging X-ray Polarimetry Explorer (IXPE), as it allows one to measure X-ray polarization in the 2–8 keV energy band. In the first year of its operation, IXPE has carried out polarization measurements of several XRPs (Her X-1, Doroshenko et al. 2022; Cen X-3, Tsygankov et al. 2022; 4U 1626−67, Marshall et al. 2022; Vela X-1, Forsblom et al. 2023; GRO J1008−57, Tsygankov et al. 2023; EXO 2030+375, Malacaria et al. 2023; X Persei, Mushtukov et al. 2023; LS V +44 17, Doroshenko et al. 2023). In most cases, the observations revealed a rather low pulse-phase averaged polarization degree (PD). The reason for the low PD is not completely clear. A toy model considering the upper layer of an NS atmosphere overheated by accretion has been proposed (Doroshenko et al. 2022). According to this model, the escaping radiation can be depolarized due to partial mode conversion when passing through the vacuum resonance region situated at the sharp temperature gradient between the cool inner atmospheric layers and the upper overheated layers. Additionally, variations of the polarization angle (PA) with the pulsar phase can lead to strong depolarization in the total signal.

The accreting XRP GX 301−2 (also associated with 4U 1223−62) is one of IXPE’s targets. It is a high-mass X-ray binary system containing a slowly rotating (Pspin  ∼  680 s, White et al. 1976) NS orbiting the hyper-giant donor star Wray 977 (Hammerschlag-Hensberge et al. 1976). The donor star is very massive (39–53 M) and large (∼ 62 R) with a huge mass-loss rate of ∼ 10−5 M yr−1 via a dense and slow (∼300–400 km s−1) wind (Kaper et al. 2006). The system inclination has been constrained to be in the range of 52°–78°, with an indication of a preference for an inclination closer to the lower end of the range (Leahy & Kostka 2008). A distance to the system of 3.53 0.52 + 0.40 $ ^{+0.40}_{-0.52} $ kpc was measured by Gaia (Treuz et al. 2018; Bailer-Jones et al. 2018). The orbital period of the system is known with a high accuracy: Porb = 41.482 ± 0.001 d (Doroshenko et al. 2010). The NS orbit is elliptic with an eccentricity e ∼ 0.46 (Koh et al. 1997), and the X-ray luminosity of the pulsar increases near the periastron, reaching ∼1037 erg s−1(see Fig. 1 for the long-term light curve). The wind accretion picture in this system is very complicated. The outburst maximum is about 1.4 d before the periastron, and there is a secondary X-ray flux increase near the apoastron at the orbital phase 0.5 (Pravdo et al. 1995; Koh et al. 1997). It was even hypothesized that the NS in the system exhibits retrograde rotation (Mönkkönen et al. 2020).

thumbnail Fig. 1.

Long-term light curve of GX 301−2 in the 15–50 keV energy band obtained with the Swift/BAT monitor. The shaded region represents the time of the IXPE observation.

The X-ray spectrum of the system has been investigated by many observatories, including NuSTAR (see Nabizadeh et al. 2019, and references therein). The continuum X-ray spectrum is typical for an accreting XRP and is well described by a power-law model with a Fermi-Dirac cutoff (Fürst et al. 2018) and some additional components. These include two cyclotron resonant scattering features near 35 and 50 keV (Fürst et al. 2018), whose energies are positively correlated with the source X-ray luminosity, including variations over the pulse period (Fürst et al. 2018; Nabizadeh et al. 2019). It is necessary to mention a strong local absorption that is also correlated with the observed luminosity. The absorber column density can be as high as (5 − 20)×1023 cm−2 (see, e.g., Fürst et al. 2018; Nabizadeh et al. 2019; Doroshenko et al. 2010; Ji et al. 2021). Important components of the softer part of the X-ray spectrum are the iron Kα and Kβ lines, arising due to a reprocessing of X-rays in the matter surrounding the NS (see detailed analysis in Ji et al. 2021). Their strength is also strongly correlated with the source luminosity.

The first attempt to measure the X-ray polarization of GX 301−2 was performed with balloon-borne hard X-ray polarimeter X-Calibur in the 15–35 keV energy band. This attempt resulted in a non-detection (Abarr et al. 2020) due to a rather short flight duration.

In this work, we present the results of IXPE observations of GX 301−2. The IXPE observations were accompanied by simultaneous observations performed with the Spectrum Roentgen Gamma (SRG) observatory.

2. Observations and data reduction

The IXPE observatory, a NASA mission in partnership with the Italian space agency (see a detailed description in Weisskopf et al. 2022), was launched by a Falcon 9 rocket on 2021 December 9. There are three grazing incidence telescopes onboard the observatory. Each telescope is composed of an X-ray mirror assembly and a polarization-sensitive detector unit (DU) equipped with a gas-pixel detector (Soffitta et al. 2021; Baldini et al. 2021). These instruments provide imaging polarimetry in the 2–8 keV energy band with a time resolution better than 10 μs.

Between 2022 July 29 and August 3, IXPE observed GX 301−2 with a total exposure of ≃290 ks per telescope. The data were processed with the IXPEOBSSIM package version 30.2.1 (Baldini et al. 2022) using the CalDB released on 2022 November 17. Before the scientific analysis, a position offset correction and energy calibration were applied. Source photons were collected in a circular region with a radius Rsrc = 70″ centered at the GX 301−2 position. In the 2–8 keV band, the background makes up about 1.2% of the total count rate in the source region. Because of the low background level and the high source count rate, the background was not subtracted as recommended by Di Marco et al. (2023). The event arrival times were corrected to the Solar system barycenter using the standard barycorr tool from the FTOOLS package and accounting for the effects of binary motion using the orbital parameters from Doroshenko et al. (2010).

The polarimetric parameters of GX 301−2 were extracted utilizing the pcube algorithm (xpbin tool) in the IXPEOBSSIM package, which has been implemented following the formalism by Kislat et al. (2015). For the spectro-polarimetric analysis, the Stokes spectra I, Q, and U for the source region were prepared using the xpbin tool’s PHA1, PHA1Q, and PHA1U algorithms in IXPEOBSSIM, resulting in a data set of nine spectra (three for each DU).

The flux (Stokes parameter I) energy spectra were binned to have at least 30 counts per energy channel. The same energy binning was also applied to the spectra of the Stokes parameters Q and U. We applied the unweighted analysis (i.e., taking all events into account independently of the quality of the track reconstruction) of the IXPE data. All the spectra were fitted with the XSPEC package Arnaud (1996; version 12.12.1), which is a part of the standard high-energy astrophysics software suite HEASOFT, using the instrument response functions of version 12 and a χ2 statistic. The uncertainties are given at the 68.3% confidence level unless stated otherwise.

The Mikhail Pavlinsky ART-XC telescope (Pavlinsky et al. 2021) on board the SRG observatory (Sunyaev et al. 2021) carried out simultaneous observations of GX 301−2 with IXPE starting on 2022 July 30 at 20:25 and ending on August 1 at 20:50 (UTC) with a total exposure of ∼160 ks. The ART-XC is a grazing incidence focusing X-ray telescope that provides imaging, timing, and spectroscopy in the 4–30 keV energy range. The telescope consists of seven identical modules and has a total effective area of ∼450 cm2 at 8 keV, an angular resolution of 45″, an energy resolution of 1.4 keV at 6 keV, and a timing resolution of 23 μs. The ART-XC data were processed with the analysis software ARTPRODUCTS v1.0 with the CALDB version 20220908.

3. Results

3.1. Light curve and pulse profile

Between 2022 July 29 and August 3, GX 301−2 was observed during a pre-periastron flare (at the orbital phase approximately 0.95–1.00), as can be seen in the light curve shown in Fig. 1 and that was obtained by the Swift/BAT (Gehrels et al. 2004) monitor.2 The light curves of GX 301−2 in the 2–8 energy band obtained with the IXPE observatory as well as with SRG/ART-XC in the 4–12 keV band are shown in Fig. 2. The spin period for GX 301−2 was measured from the IXPE data to be Pspin = 670.644(2) s. The pulsed fraction in the 2–8 keV energy range of IXPE was determined to be PF = 34.0%±1.1%, defined according to the equation PF = (Fmax − Fmin)/(Fmax + Fmin), where Fmax and Fmin are the maximum and minimum count rates in the pulse profile, respectively. The pulse profiles of GX 301−2 as seen by IXPE and ART-XC in different energy bands are shown in Fig. 3. The phase-zero was chosen to coincide for the IXPE and ART-XC observations, and the phase-shift was determined by comparing the pulse profiles in the 4–8 keV energy band for both observations.

thumbnail Fig. 2.

Background subtracted light curve of the source in the 2–8 keV energy band observed with IXPE (top) and in the 4–12 keV band observed with SRG/ART-XC (bottom). Data from the three IXPE telescopes and the seven ART-XC telescopes were combined.

thumbnail Fig. 3.

Pulse profiles of GX 301−2 obtained by IXPE and ART-XC in different energy bands.

3.2. Polarimetric analysis

We analyzed the polarimetric properties of GX 301−2 in the model-independent way by deriving the normalized Stokes parameters q = Q/I and u = U/I and subsequently the PD = q 2 + u 2 $ \sqrt{q^2+u^2} $ and PA = 1 2 arctan ( u / q ) $ \frac{1}{2}\arctan(u/q) $ using the pcube algorithm (xpbin tool) in the IXPEOBSSIM package, which follows the description by Kislat et al. (2015) and Baldini et al. (2022). We obtained the phase-averaged values of q = 0.7 ± 0.7% and u = −0.5 ± 0.7% in the full 2–8 keV energy range (see Fig. 4 for all the DUs separately), implying that no significant polarization in the phase-averaged data is detected. The data were subsequently divided into six energy bins to study a possible energy dependence of the phase-averaged polarization properties for GX 301−2. The measured Stokes parameters are consistent with zero within 2σ.

thumbnail Fig. 4.

Phase-averaged normalized Stokes parameters q and u for each DU and combining the DUs (in black) for the full 2–8 keV energy band. The circle size corresponds to the uncertainty at 68% confidence level.

The polarization properties of XRPs are expected to be strongly variable with pulse phase, and therefore we performed a phase-resolved polarimetric analysis using the pcube algorithm. The data were divided into nine separate phase bins in the full 2–8 keV range. The results are displayed in Fig. 5 and in Fig. 6b,c and are given in Table 1. We found a significant (above 3σ) detection of polarization in two out of the nine phase bins and a marginal detection (above 2σ) in another two bins.

thumbnail Fig. 5.

Normalized Stokes parameters q and u for the phase-resolved polarimetric analysis using pcube (DUs combined) for the full 2–8 keV energy band. Each circle corresponds to a separate phase bin and is numbered according to its order as referenced in Table 1. The radius of the circle corresponds to a 1σ uncertainty.

thumbnail Fig. 6.

Results from the pulse-phase-resolved analysis of GX 301−2 in the 2–8 keV range combining data from all DUs. Panel a: pulse profile. Panels b and c: dependence of the Stokes q and u parameters obtained from the pcube algorithm on the pulse phase. Panels d and e: PD and PA obtained with pcube and from the phase-resolved spectro-polarimetric analysis using XSPEC (shown by the red and blue symbols, respectively). The orange curve in panel e shows the best-fit RVM with ip = 135°, θ = 43°, χp = 135°, and ϕ0/(2π) = − 0.2 to the PAs obtained from the pairs of (q, u) (see Sect. 4.1).

Table 1.

Normalized q and u Stokes parameters and PD and PA in different phase bins obtained from the pcube algorithm.

Next, to fully account for the energy dispersion and spectral shape, we performed a model-dependent spectro-polarimetric analysis by simultaneously fitting the Stokes I, Q, and U spectra in XSPEC in order to study the polarization properties as a function of energy. The continuum spectra of XRPs are typically described by purely phenomenological spectral models, such as a power law with a cutoff at high energies. Several models of varying complexity have been used to describe the spectral continuum of GX 301−2. However, for the energy resolution and energy range of IXPE, we used a more simplified model to fit the spectra. This spectral model consists of an absorbed power law (for the absorption we used tbabs model with the abundances from Wilms et al. 2000). Additionally, a prominent iron emission line (complex) was also observed, and therefore a Gaussian component was introduced. A re-normalization constant was used to account for possible discrepancies between the separate DUs (const), and for DU1 it was fixed at unity. Finally, the polconst polarization model, assuming a constant PD and PA with energy, was applied to the power law, while the Gaussian component was assumed to be unpolarized. The resulting model,

tbabs × ( polconst × powerlaw + gaussian ) × const , $$ \begin{aligned} \mathtt {tbabs} \times \mathtt {(polconst} \times \mathtt {powerlaw+gaussian}) \times \mathtt {const} , \end{aligned} $$

was used to fit both the phase-averaged and the phase-resolved data. A systematic error of 5% was added over the entire 2–8 keV energy range for the phase-averaged spectro-polarimetric analysis. The results of the spectral fitting of the phase-averaged data are given in Table 2. For the phase-averaged data, we did not detect any significant polarization, with a 99% upper limit of PD < 2.3%. The polconst polarization model was replaced with the pollin (linear energy dependence of the PD and PA) and polpow (power-law energy dependence of the PD and PA) models; however, neither one gave an improvement of the fit. Thus, we found no evidence for an energy-dependent polarization.

Table 2.

Spectral parameters for the best-fit model obtained from the phase-averaged spectro-polarimetric analysis with XSPEC.

The same model used for the phase-averaged spectro-polarimetric analysis was used to fit the phase-resolved spectra. However, the cross-calibration constants for DU2 and DU3 were fixed to the best-fit values obtained for the phase-averaged analysis (see Table 2). Due to low statistics in the phase-resolved spectra, the energy and width of the Gaussian component were fixed at the best-fit values from Table 2. The steppar command in XSPEC was used to obtain the constraints on polarization parameters. The resulting PD and PA are shown in Figs. 6d,e and given in Table 3. The two different approaches using pcube and XSPEC gave compatible results. The 2D contour plots at 68.3%, 95.45%, and 99.73% confidence levels for the PD and PA pair are presented in Fig. 7.

thumbnail Fig. 7.

Polarization vectors of GX 301−2 from the results of the phase-resolved spectro-polarimetric analysis. Contours at 68.3%, 95.45%, and 99.73% confidence levels are shown in blue, purple, and red, respectively.

Table 3.

Spectro-polarimetric parameters in different pulse-phase bins obtained with XSPEC.

4. Discussion

4.1. Pulsar geometry

The rotating vector model (RVM; Radhakrishnan & Cooke 1969) can be used to constrain the pulsar geometry. Assuming that radiation is dominated by the ordinary mode photons (O-mode), the PA is given by equation (30) in Poutanen (2020):

tan ( PA χ p ) = sin θ sin ( ϕ ϕ 0 ) sin i p cos θ cos i p sin θ cos ( ϕ ϕ 0 ) , $$ \begin{aligned} \tan (\mathrm{PA}\!-\!\chi _{\rm p})\!=\! \frac{-\sin \theta \ \sin (\phi -\phi _0)}{\sin i_{\rm p} \cos \theta \! - \! \cos i_{\rm p} \sin \theta \cos (\phi \!-\!\phi _0) }, \end{aligned} $$(1)

where χp is the position angle (measured from north to east) of the pulsar angular momentum, ip is the inclination of the pulsar spin to the line of sight, θ is the angle between the magnetic dipole and the spin axis, and ϕ0 is the phase when the northern magnetic pole passes in front of the observer. If radiation escapes predominantly in the extraordinary mode (X-mode), the position angle of the pulsar angular momentum is χp ± 90°. In the non-relativistic RVM, the PA does not depend on the PD of the radiation escaping from the NS surface, or any other details. In fact, the polarization plane rotates when radiation travels through the NS magnetosphere up to the adiabatic radius, a few tens of the NS radius (Heyl et al. 2003). At such distances, the dipole field component dominates, and under these circumstances, the RVM model becomes applicable. The general relativistic effects influence the polarization plane only if the NS rotates rapidly (see Poutanen 2020).

In spite of the fact that the observed PAs are not well determined in many phase bins, we can use measurements of the Stokes q and u parameters (which are normally distributed) in all phase bins to get constraints on RVM parameters. For any (q, u) and their error σp, the probability density function of the PA, ψ, can be computed as (Naghizadeh-Khouei & Clarke 1993):

G ( ψ ) = 1 π { 1 π + η e η 2 [ 1 + erf ( η ) ] } e p 0 2 / 2 . $$ \begin{aligned} G(\psi ) = \frac{1}{\sqrt{\pi }} \left\{ \frac{1}{\sqrt{\pi }} + \eta \mathrm{e}^{\eta ^2} \left[ 1 + \mathrm{erf}(\eta ) \right] \right\} \mathrm{e}^{-p_0^2/2}. \end{aligned} $$(2)

Here, p 0 = q 2 + u 2 / σ p $ p_0=\sqrt{q^2+u^2}/\sigma_{\mathrm{p}} $ is the “measured” PD in units of the error, η = p 0 cos [ 2 ( ψ ψ 0 ) ] / 2 $ \eta=p_0 \cos[2(\psi-\psi_0)]/\sqrt{2} $, ψ 0 = 1 2 arctan ( u / q ) $ \psi_0=\frac{1}{2}\arctan(u/q) $ is the central PA obtained from the Stokes parameters, and erf is the error function.

We fit the RVM to the pulse-phase dependence of the (q, u) obtained from pcube using the affine invariant Markov chain Monte Carlo (MCMC) ensemble sampler EMCEE package of PYTHON (Foreman-Mackey et al. 2013) and applying the likelihood function L = ΠiG(ψi) with the product taken over all phase bins. The covariance plot for the RVM parameters is shown in Fig. 8. We note that fitting the PA values obtained from XSPEC with the RVM and assuming Gaussian errors and χ2 statistics gives nearly identical results.

thumbnail Fig. 8.

Corner plot of the posterior distribution for parameters of the RVM model fitted directly to the (q, u) values using the likelihood function (2). The two-dimensional contours correspond to 68.3%, 95.45%, and 99.73% confidence levels. The histograms show the normalized one-dimensional distributions for a given parameter derived from the posterior samples.

It is clear that the inclination and the magnetic obliquity are rather well determined: ip = 135° ±17° and θ = 43° ±12°. However, other parameters allowed for multiple solutions. The reason for this is simple: Most of the detections of polarization are only marginal. The posterior distribution of χp has three broad peaks at 25°, 80°, and the strongest one at 135°. These peaks correspond to the peaks in ϕ0/(2π) at 0.4, 0.0, and −0.2, respectively.

As a test of our RVM fit to the phase-binned data, we applied an alternative unbinned photon-by-photon analysis (González-Caniulef et al. 2023). We ran MCMC simulations to get the estimates on the RVM parameters. The results are shown in Fig. 9. The photoelectron emission angles for each event were used to constrain an RVM that predicts the distribution of photoelectron angles as a function of the phase. The PA of the best-fit RVM is depicted by an orange curve in Fig. 10. Furthermore, for illustration, we obtained a maximum-likelihood estimate of the PD and PA, assuming constant polarization in each of the fourteen phase bins, as shown by the error bars in the lower two panels of Fig. 10. The mean PD in the frame of the magnetic pole is about 2.5%. The best-fit ip = 129° ±16° and θ = 47° ±12° are in perfect agreement with the RVM fit to the phase-binned data. However, the position angle of the pulsar spin and the zero phase ϕ0 are not well determined. Here too, the posterior distributions show multiple peaks and strong correlation between these parameters. Three peaks in the distributions of χp and ϕ0 at positions close to those of the phase-binned RVM fits can be seen.

thumbnail Fig. 9.

Same as Fig. 8 but obtained via unbinned analysis (González-Caniulef et al. 2023).

thumbnail Fig. 10.

Pulse profile, PD, and PA obtained from the maximum-likelihood analysis (González-Caniulef et al. 2023). The error bars give the most likely values of PD and PA with ΔlnL = 0.5 (1σ) confidence regions. The orange curve at the bottom panel shows the best-fit RVM solution with the following parameters ip = 129°, θ = 47°, χp = 84°, ϕ0/(2π) = 0.03.

4.2. Scattering by the stellar wind

The relatively low PD detected for GX 301−2 is in line with other XRPs observed with IXPE (Cen X-3, Her X-1, GRO J1008−57, Vela X-1, 4U 1626−67, EXO 2030+375). The low PD is in contradiction with previous theoretical predictions, which estimate PDs as high as 80% (Meszaros et al. 1988; Caiazzo & Heyl 2021). We find it interesting that more luminous XRPs (LX ≥ 1037 erg s−1) demonstrate a significantly higher phase-averaged PD, up to 6%–10% in Her X-1 (Doroshenko et al. 2022) and 4%–6% in Cen X-3 (Tsygankov et al. 2022), than the less luminous XRPs. It can be connected with the difference in the physical properties of the radiation regions. In particular, Doroshenko et al. (2022) proposed a model to explain the low PD by means of an overheated upper NS atmosphere with a sharp temperature gradient between the overheated upper atmospheric layer and the underlying cooler layer. The most important component of this model is the point of the so-called vacuum resonance, where the mode conversion occurs. If the point of vacuum resonance is located at the transition between the hot and cool layer, this may result in a low PD. The described model can be correct for relatively low local accretion rates only.

In addition to an intrinsic low polarization, we considered the possibility that the X-ray radiation can be depolarized in the plasma surrounding the XRP because GX 301−2 is significantly more obscured than other XRPs. A detailed qualitative analysis of the reasons for depolarization was presented in Tsygankov et al. (2022). Here, we considered the depolarization of the X-ray flux passing through the surrounding plasma in more detail. The XRP GX 301−2 is subject to the dense stellar wind of its massive companion star. This wind is characterized by a relatively slow velocity and a huge mass-loss rate. Scattering in the wind is expected to reduce intrinsic polarization. Whether or not the wind is able to affect the observed polarization depends on the wind Thomson optical depth, which can be estimated as (Kallman et al. 2015) τ T 2 × 10 4 M ˙ 8 a 12 1 v x 8 1 $ \tau_{\mathrm{T}} \simeq 2\times10^{-4}\dot{M}_{8}a_{12}^{-1}v_{\mathrm{x8}}^{-1} $, where 8 is the mass-loss rate in units 10−8 M yr−1, a12 is the separation in units 1012 cm, and vx8 is the wind velocity at the X-ray source in units 1000 km s−1. For GX 301−2, taking typical values for the wind parameters 8 ∼ 103 and vx8 = 0.3 as well as the orbital separation at periastron passage a = ap ∼ 95 R (i.e., a12 = 6.7), we obtained the optical depth through the wind of τT ∼ 0.1.

Our estimate was made under the assumption of a homogeneous, spherically symmetric wind. However, the orbiting NS disturbs the stellar wind, leading to various inhomogeneities in the vicinity of the XRP. As a result, the optical depth along the line of sight can be larger. In the first approximation, this optical depth can be estimated from NH, assuming that the number of electrons along the line of sight is the same. For the NH in the range (5 − 20)×1023 cm−2 (Fürst et al. 2018; Nabizadeh et al. 2019); Doroshenko.etal.2010; Ji21, we obtained τT ≈ σTNH ≈ 0.3–1.2.

In this paragraph, we describe our consideration of how the polarized radiation will be depolarized when it is transmitted through the ionized plasma slab. We neglected emission by the plasma itself and assumed that the slab is situated far enough from the X-ray source so that the external flux is directed normally to the slab surface. We then computed the polarization properties of radiation that is transmitted through the slab along its normal. We assumed that the incoming radiation is 100% linearly polarized. We solved the radiation transfer equation accounting for polarization under electron scattering (Chandrasekhar 1960; Sobolev 1963; Suleimanov et al. 2023). We defined the depolarization factor dPD = PD′/PD as the ratio of the PD of the transmitted radiation to that of the incident one. The results of our calculations for different optical depths of the slab are shown in Fig. 11. It is clear that if the slab is almost transparent (τ < 1), only a small part of the radiation is scattered, and the PD decreases insignificantly. At higher optical depths, the fraction of scattered radiation increases, resulting in a smaller PD, and finally the PD becomes consistent with the case of the pure electron scattering atmosphere (Chandrasekhar 1960; Sobolev 1963) and approaches zero because of the axial symmetry. The dependence of dPD on the slab optical depth τ is well approximated by the expression

dPD = A [ exp ( τ τ Δ τ ) + 1 ] 1 , $$ \begin{aligned} \mathrm{dPD} = A\ \left[\exp \left(\frac{\tau -\tau _*}{\Delta \tau }\right)+1\right]^{-1}, \end{aligned} $$(3)

thumbnail Fig. 11.

Dependence of the depolarization factor on the plasma optical depth. The fit with the expression given by Eq. (3) is also shown with the red dashed curve.

where τ* = 4.6 is the optical depth providing dPD = 0.5, Δτ = 1.2 is a smearing parameter, and A = exp(−τ*τ) + 1 ≈ 1.02 is a normalization constant. We note that τ is the total optical depth including not only electron scattering but also the free-free and bound-free absorption. Figure 11 shows that, in principle, the PD can decrease by a factor of two for τ ∼ 5, but such a large optical depth of the envelope around the XRP is clearly too large and would lead to a dramatic decrease of the pulsed fraction, which is not observed. Thus, we can conclude that scattering in the wind is not a likely source of a relatively low PD.

In addition to scattering, the wind may also reprocess some radiation of the XRP. In particular, the strength of fluorescent iron lines Kα and Kβ observed from GX 301−2 (see, e.g., Ji et al. 2021) correlates with the X-ray flux and with the local absorption. The lines contribute about 10% of the flux in the IXPE band. Thus, these unpolarized lines can produce a depolarization factor of about 0.9, which means that they cannot significantly depolarize the XRP radiation.

5. Summary

The XRP GX 301−2 was observed by IXPE between 2022 July 29 and August 3 during a pre-periastron flare. Simultaneous observations of GX 301−2 were carried out by the ART-XC telescope between 2022 July 30 and August 1. The main results of our study of the polarimetric properties of GX 301−2 are summarized as follows:

  1. We have not detected a significant polarization in the phase-averaged data with an upper limit to the PD of 2.3% (at 99% confidence level) in the full 2–8 keV energy range of IXPE. Likewise, no significant polarization was detected in any energy bin in the phase-averaged data.

  2. The phase-resolved polarimetric analysis revealed a significant detection of polarization in two out of nine phase bins and a marginal detection in three bins, with the PD ranging from ∼3% to ∼10% and the PA varying in a very wide range from ∼0° to ∼160°.

  3. Application of the RVM to the phase-resolved PA (accounting even for the points with low significance) allowed us to estimate the inclination of the NS rotation axis to the line of sight of ip ≈ 130° −140° and the magnetic obliquity of θ ≈ 40° −50°. The measured pulsar spin inclination is in good agreement with the orbital inclination of 52°–78°, with some preference toward lower values determined by Leahy & Kostka (2008). We note that the preferred lowest orbital inclination is equivalent to 128°. Thus, it is possible that the rotation axis of the pulsar is nearly aligned with the orbital axis. On the other hand, the NS in the system might rotate retrogradely, as was proposed by Mönkkönen et al. (2020). The position angle of the pulsar spin and the zero phase, when the northern magnetic pole passes in front of the observer, allow for multiple solutions. We find excellent agreement between phase-binned and unbinned analyses.

  4. The contribution of the reprocessed radiation and scattering in the surrounding matter can depolarize the intrinsic XRP flux by no more than 10%–15%.

Additional observations of GX 301−2 with IXPE may improve the statistics, allowing us to get better constraints on the pulsar axis position angle and the zero phase ϕ0.


Acknowledgments

The Imaging X-ray Polarimetry Explorer is a joint US and Italian mission. The US contribution is supported by the National Aeronautics and Space Administration (NASA) and led and managed by its Marshall Space Flight Center (MSFC), with industry partner Ball Aerospace (contract NNM15AA18C). The Italian contribution is supported by the Italian Space Agency (Agenzia Spaziale Italiana, ASI) through contract ASI-OHBI-2017-12-I.0, agreements ASI-INAF-2017-12-H0 and ASI-INFN-2017.13-H0, and its Space Science Data Center (SSDC) with agreements ASI-INAF-2022-14-HH.0 and ASI-INFN 2021-43-HH.0, and by the Istituto Nazionale di Astrofisica (INAF) and the Istituto Nazionale di Fisica Nucleare (INFN) in Italy. This research used data products provided by the IXPE Team (MSFC, SSDC, INAF, and INFN) and distributed with additional software tools by the High-Energy Astrophysics Science Archive Research Center (HEASARC), at NASA Goddard Space Flight Center (GSFC). This research has been supported by Deutsche Forschungsgemeinschaft (DFG) grant WE 1312/59-1 (VFS). We also acknowledge support from the German Academic Exchange Service (DAAD) travel grant 57525212 (VFS, VD), the Academy of Finland grants 333112, 349144, 349373, and 349906 (SST, JP), the Väisälä Foundation (SST), CNES fellowship grant (DG-C), Natural Sciences and Engineering Research Council of Canada (JH), the Russian Science Foundation grant 19-12-00423 (AAL, SVM, AES), and UKRI Stephen Hawking fellowship (AAM).

References

  1. Abarr, Q., Baring, M., Beheshtipour, B., et al. 2020, ApJ, 891, 70 [NASA ADS] [CrossRef] [Google Scholar]
  2. Arnaud, K. A. 1996, in Astronomical Data Analysis Software and Systems V, eds. G. H. Jacoby, & J. Barnes (San Francisco: Astron. Soc. Pac.), ASP Conf. Ser., 101, 17 [NASA ADS] [Google Scholar]
  3. Bailer-Jones, C. A. L., Rybizki, J., Fouesneau, M., Mantelet, G., & Andrae, R. 2018, AJ, 156, 58 [Google Scholar]
  4. Baldini, L., Barbanera, M., Bellazzini, R., et al. 2021, Astropart. Phys., 133, 102628 [NASA ADS] [CrossRef] [Google Scholar]
  5. Baldini, L., Bucciantini, N., Lalla, N. D., et al. 2022, SoftwareX, 19, 101194 [NASA ADS] [CrossRef] [Google Scholar]
  6. Basko, M. M., & Sunyaev, R. A. 1976, MNRAS, 175, 395 [Google Scholar]
  7. Becker, P. A., Klochkov, D., Schönherr, G., et al. 2012, A&A, 544, A123 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  8. Caiazzo, I., & Heyl, J. 2021, MNRAS, 501, 109 [Google Scholar]
  9. Chandrasekhar, S. 1960, Radiative Transfer (New York: Dover) [Google Scholar]
  10. Di Marco, A., Soffitta, P., Costa, E., et al. 2023, AJ, 165, 143 [CrossRef] [Google Scholar]
  11. Doroshenko, V., Santangelo, A., Suleimanov, V., et al. 2010, A&A, 677, A57 [Google Scholar]
  12. Doroshenko, V., Poutanen, J., Tsygankov, S. S., et al. 2022, Nat. Astron., 6, 1433 [NASA ADS] [CrossRef] [Google Scholar]
  13. Doroshenko, V., Poutanen, J., Heyl, J., et al. 2023, A&A, 677, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  14. Foreman-Mackey, D., Hogg, D. W., Lang, D., & Goodman, J. 2013, PASP, 125, 306 [Google Scholar]
  15. Forsblom, S. V., Poutanen, J., Tsygankov, S. S., et al. 2023, ApJ, 947, L20 [NASA ADS] [CrossRef] [Google Scholar]
  16. Fürst, F., Falkner, S., Marcu-Cheatham, D., et al. 2018, A&A, 620, A153 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Gehrels, N., Chincarini, G., Giommi, P., et al. 2004, ApJ, 611, 1005 [Google Scholar]
  18. González-Caniulef, D., Caiazzo, I., & Heyl, J. 2023, MNRAS, 519, 5902 [CrossRef] [Google Scholar]
  19. Hammerschlag-Hensberge, G., Zuiderwijk, E. J., van den Heuvel, E. P. J., & Hensberge, H. 1976, A&A, 49, 321 [NASA ADS] [Google Scholar]
  20. Harding, A. K., & Lai, D. 2006, Rep. Prog. Phys., 69, 2631 [NASA ADS] [CrossRef] [Google Scholar]
  21. Heyl, J. S., Shaviv, N. J., & Lloyd, D. 2003, MNRAS, 342, 134 [NASA ADS] [CrossRef] [Google Scholar]
  22. Ji, L., Doroshenko, V., Suleimanov, V., et al. 2021, MNRAS, 501, 2522 [Google Scholar]
  23. Kallman, T., Dorodnitsyn, A., & Blondin, J. 2015, ApJ, 815, 53 [NASA ADS] [CrossRef] [Google Scholar]
  24. Kaper, L., van der Meer, A., & Najarro, F. 2006, A&A, 457, 595 [CrossRef] [EDP Sciences] [Google Scholar]
  25. Kislat, F., Clark, B., Beilicke, M., & Krawczynski, H. 2015, Astropart. Phys., 68, 45 [NASA ADS] [CrossRef] [Google Scholar]
  26. Koh, D. T., Bildsten, L., Chakrabarty, D., et al. 1997, ApJ, 479, 933 [NASA ADS] [CrossRef] [Google Scholar]
  27. Leahy, D. A., & Kostka, M. 2008, MNRAS, 384, 747 [NASA ADS] [CrossRef] [Google Scholar]
  28. Malacaria, C., Heyl, J., Doroshenko, V., et al. 2023, A&A, 675, A29 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  29. Marshall, H. L., Ng, M., Rogantini, D., et al. 2022, ApJ, 940, 70 [NASA ADS] [CrossRef] [Google Scholar]
  30. Meszaros, P., Novick, R., Szentgyorgyi, A., Chanan, G. A., & Weisskopf, M. C. 1988, ApJ, 324, 1056 [NASA ADS] [CrossRef] [Google Scholar]
  31. Mönkkönen, J., Doroshenko, V., Tsygankov, S. S., et al. 2020, MNRAS, 494, 2178 [CrossRef] [Google Scholar]
  32. Mushtukov, A., & Tsygankov, S. 2022, in Handbook of X-ray and Gamma-ray Astrophysics, eds. C. Bambi, & A. Santangelo (Singapore: Springer) [Google Scholar]
  33. Mushtukov, A. A., Suleimanov, V. F., Tsygankov, S. S., & Poutanen, J. 2015, MNRAS, 447, 1847 [NASA ADS] [CrossRef] [Google Scholar]
  34. Mushtukov, A. A., Tsygankov, S. S., Poutanen, J., et al. 2023, MNRAS, 524, 2004 [NASA ADS] [CrossRef] [Google Scholar]
  35. Nabizadeh, A., Mönkkönen, J., Tsygankov, S. S., et al. 2019, A&A, 629, A101 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  36. Naghizadeh-Khouei, J., & Clarke, D. 1993, A&A, 274, 968 [NASA ADS] [Google Scholar]
  37. Pavlinsky, M., Tkachenko, A., Levin, V., et al. 2021, A&A, 650, A42 [EDP Sciences] [Google Scholar]
  38. Poutanen, J. 2020, A&A, 641, A166 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Pravdo, S. H., Day, C. S. R., Angelini, L., et al. 1995, ApJ, 454, 872 [NASA ADS] [CrossRef] [Google Scholar]
  40. Radhakrishnan, V., & Cooke, D. J. 1969, App. Lett., 3, 225 [NASA ADS] [Google Scholar]
  41. Sobolev, V. V. 1963, A Treatise on Radiative Transfer (Princeton: Van Nostrand) [Google Scholar]
  42. Soffitta, P., Baldini, L., Bellazzini, R., et al. 2021, AJ, 162, 208 [CrossRef] [Google Scholar]
  43. Suleimanov, V. F., Poutanen, J., Doroshenko, V., & Werner, K. 2023, A&A, 673, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  44. Sunyaev, R., Arefiev, V., Babyshkin, V., et al. 2021, A&A, 656, A132 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  45. Treuz, S., Doroshenko, V., Santangelo, A., & Staubert, R. 2018, ArXiv e-prints [arXiv:1806.11397] [Google Scholar]
  46. Tsygankov, S. S., Doroshenko, V., Poutanen, J., et al. 2022, ApJ, 941, L14 [NASA ADS] [CrossRef] [Google Scholar]
  47. Tsygankov, S. S., Doroshenko, V., Mushtukov, A. A., et al. 2023, A&A, 675, A48 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  48. Weisskopf, M. C., Soffitta, P., Baldini, L., et al. 2022, JATIS, 8, 026002 [NASA ADS] [Google Scholar]
  49. White, N. E., Mason, K. O., Huckle, H. E., Charles, P. A., & Sanford, P. W. 1976, ApJ, 209, L119 [NASA ADS] [CrossRef] [Google Scholar]
  50. Wilms, J., Allen, A., & McCray, R. 2000, ApJ, 542, 914 [Google Scholar]

All Tables

Table 1.

Normalized q and u Stokes parameters and PD and PA in different phase bins obtained from the pcube algorithm.

Table 2.

Spectral parameters for the best-fit model obtained from the phase-averaged spectro-polarimetric analysis with XSPEC.

Table 3.

Spectro-polarimetric parameters in different pulse-phase bins obtained with XSPEC.

All Figures

thumbnail Fig. 1.

Long-term light curve of GX 301−2 in the 15–50 keV energy band obtained with the Swift/BAT monitor. The shaded region represents the time of the IXPE observation.

In the text
thumbnail Fig. 2.

Background subtracted light curve of the source in the 2–8 keV energy band observed with IXPE (top) and in the 4–12 keV band observed with SRG/ART-XC (bottom). Data from the three IXPE telescopes and the seven ART-XC telescopes were combined.

In the text
thumbnail Fig. 3.

Pulse profiles of GX 301−2 obtained by IXPE and ART-XC in different energy bands.

In the text
thumbnail Fig. 4.

Phase-averaged normalized Stokes parameters q and u for each DU and combining the DUs (in black) for the full 2–8 keV energy band. The circle size corresponds to the uncertainty at 68% confidence level.

In the text
thumbnail Fig. 5.

Normalized Stokes parameters q and u for the phase-resolved polarimetric analysis using pcube (DUs combined) for the full 2–8 keV energy band. Each circle corresponds to a separate phase bin and is numbered according to its order as referenced in Table 1. The radius of the circle corresponds to a 1σ uncertainty.

In the text
thumbnail Fig. 6.

Results from the pulse-phase-resolved analysis of GX 301−2 in the 2–8 keV range combining data from all DUs. Panel a: pulse profile. Panels b and c: dependence of the Stokes q and u parameters obtained from the pcube algorithm on the pulse phase. Panels d and e: PD and PA obtained with pcube and from the phase-resolved spectro-polarimetric analysis using XSPEC (shown by the red and blue symbols, respectively). The orange curve in panel e shows the best-fit RVM with ip = 135°, θ = 43°, χp = 135°, and ϕ0/(2π) = − 0.2 to the PAs obtained from the pairs of (q, u) (see Sect. 4.1).

In the text
thumbnail Fig. 7.

Polarization vectors of GX 301−2 from the results of the phase-resolved spectro-polarimetric analysis. Contours at 68.3%, 95.45%, and 99.73% confidence levels are shown in blue, purple, and red, respectively.

In the text
thumbnail Fig. 8.

Corner plot of the posterior distribution for parameters of the RVM model fitted directly to the (q, u) values using the likelihood function (2). The two-dimensional contours correspond to 68.3%, 95.45%, and 99.73% confidence levels. The histograms show the normalized one-dimensional distributions for a given parameter derived from the posterior samples.

In the text
thumbnail Fig. 9.

Same as Fig. 8 but obtained via unbinned analysis (González-Caniulef et al. 2023).

In the text
thumbnail Fig. 10.

Pulse profile, PD, and PA obtained from the maximum-likelihood analysis (González-Caniulef et al. 2023). The error bars give the most likely values of PD and PA with ΔlnL = 0.5 (1σ) confidence regions. The orange curve at the bottom panel shows the best-fit RVM solution with the following parameters ip = 129°, θ = 47°, χp = 84°, ϕ0/(2π) = 0.03.

In the text
thumbnail Fig. 11.

Dependence of the depolarization factor on the plasma optical depth. The fit with the expression given by Eq. (3) is also shown with the red dashed curve.

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.