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REFINED NEUTRON STAR MASS DETERMINATIONS FOR SIX ECLIPSING X-RAY PULSAR BINARIES*

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Published 2011 February 28 © 2011. The American Astronomical Society. All rights reserved.
, , Citation Meredith L. Rawls et al 2011 ApJ 730 25 DOI 10.1088/0004-637X/730/1/25

0004-637X/730/1/25

ABSTRACT

We present an improved method for determining the mass of neutron stars in eclipsing X-ray pulsar binaries and apply the method to six systems, namely, Vela X-1, 4U 1538-52, SMC X-1, LMC X-4, Cen X-3, and Her X-1. In previous studies to determine neutron star mass, the X-ray eclipse duration has been approximated analytically by assuming that the companion star is spherical with an effective Roche lobe radius. We use a numerical code based on Roche geometry with various optimizers to analyze the published data for these systems, which we supplement with new spectroscopic and photometric data for 4U 1538-52. This allows us to model the eclipse duration more accurately and thus calculate an improved value for the neutron star mass. The derived neutron star mass also depends on the assumed Roche lobe filling factor β of the companion star, where β = 1 indicates a completely filled Roche lobe. In previous work a range of β between 0.9 and 1.0 was usually adopted. We use optical ellipsoidal light-curve data to constrain β. We find neutron star masses of 1.77 ± 0.08 M for Vela X-1, 0.87 ± 0.07 M for 4U 1538-52 (eccentric orbit), 1.00 ± 0.10 M for 4U 1538-52 (circular orbit), 1.04 ± 0.09 M for SMC X-1, 1.29 ± 0.05 M for LMC X-4, 1.49 ± 0.08 M for Cen X-3, and 1.07 ± 0.36 M for Her X-1. We discuss the limits of the approximations that were used to derive the earlier mass determinations, and we comment on the implications our new masses have for observationally refining the upper and lower bounds of the neutron star mass distribution.

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1. INTRODUCTION

A neutron star is a compact object that is the remnant of a massive star. The structure of a neutron star depends on the equation of state of nuclear matter under extreme conditions, specifically the relation between pressure and density in the neutron star interior. For a given equation of state, a mass–radius relation for the neutron star and a corresponding maximum mass can be derived. Many such theoretical equations of state exist, ranging from "soft"—a mass upper limit as low as 1.5 M (Brown & Bethe 1994)— to "stiff"—a higher upper mass limit near 3 M (Kalogera & Baym 1996). The accurate measurement of neutron star masses is therefore important for our understanding of the equation of state of matter in such high-density situations (e.g., see the recent review by Kiziltan et al. 2010).

Eclipsing X-ray binary systems where the X-ray source is a pulsar can be ideal systems for a dynamical determination of the neutron star's mass. The orbital period, the semiamplitude of the optical star's radial velocity curve, the duration of the X-ray eclipse, and the projected semimajor axis of the pulsar's orbit (measured from the pulse arrival times) can be used to find the masses of both stars. We consider six systems where the required measurements have been made: Vela X-1, 4U 1538-52, SMC X-1, LMC X-4, Cen X-3, and Her X-1. The first five systems listed have OB supergiant companion stars, and the lattermost system has a somewhat less massive companion (∼2 M).

In this paper, we present an improved method for determining the mass of neutron stars in eclipsing X-ray pulsars. In Section 2, we review the widely used analytic method for neutron star mass determination and reproduce previous results for the six systems. In Section 3, we present our numerical code based on Roche geometry to analyze the published data for the six systems. In Section 4, we present our results for each individual system with the incorporation of optical light curves. In Section 5, we discuss the implications of our results for neutron star formation and the equation of state.

2. ANALYTIC METHOD

2.1. Basic Equations

In this section, we review the analytic method introduced by Rappaport & Joss (1983) and Joss & Rappaport (1984) that is widely used to measure the mass of the neutron star and its optical companion (e.g., see, van Kerkwijk et al. 1995b; van der Meer et al. 2007). To begin, one can write the masses of the optical companion and the X-ray source (Mopt and MX, respectively) in terms of the mass functions:

Equation (1)

and

Equation (2)

where KX and Kopt are the semiamplitudes of the respective radial velocity curves, P is the period of the orbit, i is the inclination of the orbital plane to the line of sight, e is the eccentricity of the orbit, and q is the mass ratio defined as

Equation (3)

The values for KX and P can be obtained very accurately from X-ray pulse timing measurements (the projected semimajor axis of the pulsar's orbit in light-seconds, aXsin i, is usually quoted in publications, from which one finds KX = 2πcaXsin i/P) and optical and/or UV spectra can provide a value for Kopt.

Assuming a spherical companion star, the inclination of the system is related to the eclipse half-angle5 θe, the stellar radius R, and the orbital separation a by

Equation (4)

Following the approach in Rappaport & Joss (1983), the radius of the companion star is some fraction of the effective Roche lobe radius

Equation (5)

where RL is the sphere-equivalent Roche lobe radius. We will refer to the fraction β as the "Roche lobe filling factor." Combining Equations (4) and (5) yields

Equation (6)

Rappaport & Joss (1983) provide an approximate expression for RL/a, the ratio of the effective Roche lobe radius and the orbital separation:

Equation (7)

where the constants A, B, and C are

Equation (8)

Equation (9)

Equation (10)

Here, Ω is the ratio of the rotational frequency of the optical companion to the orbital frequency of the system. In other words, it is a measure of the degree of synchronous rotation, where Ω = 1 is defined to be synchronous. These four expressions give the value of RL to an accuracy of about 2% over the ranges of 0 ⩽ Ω ⩽ 2 and 0.02 ⩽ q ⩽ 1 (Joss & Rappaport 1984). If the orbit is eccentric, the value of β is defined at periastron. The star is assumed to have the same volume over its entire orbit (Avni 1976), and at any given phase outside periastron the value of β is adjusted accordingly. With a given eccentricity e, the orbital phase of the X-ray eclipse is determined by the argument of periastron ω.

For a given system, one can calculate the neutron star mass using Equations (1) through (10) when given values of P, aXsin i, θe, Kopt, Ω, and β (and if the orbit is eccentric, e and ω). It is possible to estimate Ω by measuring the projected rotational velocity, vrotsin i, of the optical companion star. This process is described in van der Meer et al. (2007) and is employed there for the systems SMC X-1, LMC X-4, and Cen X-3. Finally, one must assume some value for the Roche lobe filling factor, β. Many of the wind-fed systems discussed here are thought to be close to filling their Roche lobes, and a range of β between 0.9 and 1.0 is usually adopted (Rappaport & Joss 1983; van der Meer et al. 2007). Since all the measured input quantities are not known exactly, a simple Monte Carlo technique may be used to derive the most likely values of MX, Mopt, and i, and the corresponding 1σ confidence limits.

To determine neutron star masses in this manner for the six eclipsing systems where all of the necessary quantities are known or estimated (see Tables 1 and 2 and references therein), we assume that any value within the range 0.9 ⩽ β ⩽ 1.0 is equally likely. We then use a Monte Carlo technique to generate a distribution of resulting neutron star masses, as shown in Figure 1. This provides a clear visual representation of uncertainties through the shapes of each distribution and it provides an estimate of the "most likely" mass for each system. The neutron star masses and system inclinations found in this manner are presented in Table 3. The masses derived for SMC X-1, LMC X-4, and Cen X-3 agree very well with those cited in van der Meer et al. (2007).

Figure 1.

Figure 1. Resulting probability distributions (histograms) from Monte Carlo simulations using the analytic method for all six systems as a function of neutron star mass. We assume that any filling factor 0.9 ⩽ β ⩽ 1.0 is equally likely. The mean value ±1σ is given above each peak. All input parameters for these distributions are given in Tables 1 and 2. We note that our mass for Cen X-3 agrees very well with that found by van der Meer et al. (2007), and the masses for SMC X-1 and LMC X-4 also agree exactly when the values of θe given in van der Meer et al. (2007) are used. We assume e = 0 for 4U 1538-52.

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Table 1. Input Parameters

System Porb (days) aXsin i (lt-s) ea θe (deg) Kopt (km s−1) Ω Ref.
Vela X-1 8.964368 ± 0.000040 113.89 ± 0.13 0.0898 ± 0.0012 34.135 ± 0.5b 21.7 ± 1.6 0.67 ± 0.04 1,3,7
4U 1538-52 3.728382 ± 0.000011 56.6 ± 0.7c 0.174 ± 0.015c 28.5 ± 1.5 20 ± 3 0.91 ± 0.20d 2,4,6
SMC X-1 3.89229090 ± 0.00000043 53.4876 ± 0.0004 0 28.25 ± 2.25 20.2 ± 1.1 0.91 ± 0.20 5
LMC X-4 1.40839776 ± 0.00000026 26.343 ± 0.016 0 27 ± 2 35.1 ± 1.5 0.97 ± 0.13 5
Cen X-3 2.08713845 ± 0.00000005 39.56 ± 0.07 0 32.9 ± 1.4 27.5 ± 2.3 0.75 ± 0.13 5
Her X-1 1.700167720 ± 0.000000010 13.1831 ± 0.0003 0 24.5 ± 0.5 90 ± 20 1.0 ± 0.15e 6

Notes. aEccentricities less than 0.01 are approximated to be 0. bFor reasons discussed in Section 4.1, we adopt 33 ± 3 from van Kerkwijk et al. (1995a) for the analytic case instead. cAs discussed in Sections 2.1 and 4.2, we consider both an eccentric orbit and the case e = 0 for 4U 1538-52. When e = 0, aXsin i = 54.3 ± 0.6 (Clark 2000). dWe use the same Ω here as for SMC X-1 since the systems' vrotsin i values are equal within uncertainty (see Table 2). eHere we assume synchronous rotation (Ω = 1). References. (1) Barziv et al. 2001; (2) Clark 2000; (3) Kreykenbohm et al. 2008; (4) Mukherjee et al. 2006; (5) van der Meer et al. 2007 (and references therein); (6) van Kerkwijk et al. 1995b; (7) Zuiderwijk 1995.

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Table 2. Additional Input Parameters

System vrotsin i (km s−1) ω (deg)a Ref.
Vela X-1 116 ± 6 332.59 ± 0.92 1,6
4U 1538-52 180 ± 20 198 ± 14b 2,3,4
SMC X-1 170 ± 30 ... 5
LMC X-4 240 ± 25 ... 5
Cen X-3 200 ± 40 ... 5
Her X-1 ... ...  

Notes. aω is the argument of periastron for the companion star which is defined only for the systems with nonzero eccentricity (see Table 1). bThis value assumes a constantly changing ω over time, as discussed in Section 4.2. References. (1) Bildsten et al. 1997; (2) Clark 2000; (3) Mukherjee et al. 2006; (4) Reynolds et al. 1992; (5) van der Meer et al. 2007; (6) van Kerkwijk et al. 1995b.

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Table 3. Analytic Neutron Star Massesa

System MX(M) i (deg)
Vela X-1 1.617 ± 0.130 85.9 ± 2.0
4U 1538-52b 0.859 ± 0.200 67.3 ± 4.4
SMC X-1 1.067 ± 0.116 67.8 ± 4.7
LMC X-4 1.252 ± 0.108 68.8 ± 3.9
Cen X-3 1.349 ± 0.146 72.5 ± 4.8
Her X-1 0.890 ± 0.280 82.0 ± 3.7

Notes. aAll values listed are from Monte Carlo simulations that draw from a random distribution of 0.9 ⩽ β ⩽ 1. bValues for 4U 1538-52 assume e = 0 in order to arrive at a physical solution as discussed in Sections 2.1 and 4.2.

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We note that there is no physical solution for either Vela X-1 or 4U 1538-52 when using this technique with an eccentric orbit, because the quantity in Equation (6) is larger than unity. Adjusting the argument of periastron ω and/or the eclipse duration θe can force a solution. However, for 4U 1538-52, no solution exists within the 1σ uncertainties of ω and θe. This discrepancy arises due a high inclination and is discussed further in Sections 4.1 and 4.2. As a workaround, when employing this analytic technique we use a larger eclipse width (θe = 33° ± 3°; from van Kerkwijk et al. 1995a) for Vela X-1 and adopt a circular orbit (e = 0) as in Clark (2000) for 4U 1538-52.

2.2. An Examination of the Approximations

The analytic method presented in Section 2.1 is straightforward and is easy to implement on a computer. However, this method relies on the following two approximations.

  • 1.  
    The computation of the effective Roche lobe radius, RL/a, from Equations (7)–(10).
  • 2.  
    The computation of the X-ray eclipse duration, 2θe, from Equation (6).

We use the Eclipsing Light Curve (ELC) code of Orosz & Hauschildt (2000), which is based on Roche geometry, to test these two approximations, and we discuss each one in turn.

Strictly speaking, "Roche geometry" applies only to binary systems with circular orbits and co-rotating stars. Numerous authors have presented generalizations of the Roche potential to account for situations in which one or both of these assumptions are not met (e.g., Avni & Bahcall 1975; Avni 1976; Wilson 1979; Avni & Schiller 1982). These generalizations do not fully describe complete dynamics of the star, and as a result some small approximations are involved (e.g., Wilson 1979). The main assumption is that the timescale for the internal motions of the star that are required for the star to adjust to the varying potential is considerably shorter than the orbital period. Given this, one can compute an effective potential locally at each orbital phase without significant inconsistency (Wilson 1979). Although these generalized potentials are widely used, it is not known how well they work in practice. For most of the systems discussed here, the orbits are circular and the stars rotate close to the synchronous rate, so the modified potential we use (the ELC code uses the potential given in Wilson 1979) should be fairly accurate. Finally, we note that Rappaport & Joss (1983) also adopted a modified "Roche potential" in their analysis—their fitting functions are approximations to numerical integrations of the critical potential surface. Therefore, any systematic error that ELC would have owing to improper generalizations of the Roche model would also be present in the work of Rappaport & Joss (1983) and others that used these fitting functions such as van der Meer et al. (2007).

The shape and size of the critical potential surface (hereafter the "Roche lobe") depend only on the mass ratio q and the parameter Ω. When given q and Ω, it is straightforward to define the equipotential surface (from the value of the gravitational potential at the inner Lagrangian point) and to numerically integrate its volume. The sphere-equivalent radius RL then follows. We define a large grid of points in the q–Ω plane and compute values of RL, and compare them with the values of RL found from Equations (7) through (10). The results are shown in Figure 2. Rappaport & Joss (1983) claim an accuracy of their fitting functions of about 2% over the stated range (0 ⩽ Ω ⩽ 2 and 0.02 ⩽ q ⩽ 1), and our results confirm this.

Figure 2.

Figure 2. Percent difference between the numerically computed effective Roche lobe radius and the analytically computed one (Equations (7)–(10)) as a function of the mass ratio q and the parameter Ω. The largest deviations are about 1.5% for mass ratios near 0.02 and 1.0.

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From Equation (6), one can see that the duration of the X-ray eclipse depends on the inclination i, the Roche lobe filling factor β, and RL/a, which is a function of the mass ratio q and the parameter Ω. The ELC code can be used to compute the duration of the X-ray eclipse for a given geometry. Rather than using ray tracing to determine whether a point is eclipsed by the companion star (e.g., see, Chanan et al. 1976), ELC locates the limb of the star to high accuracy by testing the viewing angles of each surface element. ELC then uses bisection to find, at each latitude row, the longitude of the point that has a viewing angle of μ = 0. Once found, the points on the limb define a polygon in sky coordinates. At that same phase, the location of the X-ray source (assumed to be a point source) in sky coordinates is determined. A simple test is used to determine if the sky coordinate of the X-ray source is inside or outside the polygon defined by the horizon of the star. ELC uses another bisection routine to find the orbital phase of the X-ray eclipse ingress to high accuracy. If the orbit is circular, the eclipse half-angle θe is equal to the ingress phase. If the orbit is eccentric, the X-ray eclipse egress phase is also computed, and the eclipse half-angle is computed from both the ingress and egress phases.

Setting Ω = 1, we use ELC to compute the full duration of the X-ray eclipse for a wide range of values in the qi plane, using β = 1.0 and β = 0.9 and assuming a circular orbit. The full eclipse duration was also computed from Equation (6), and the difference between the numerically computed value of 2θe and the analytically computed value of 2θe was determined. Figure 3 shows the differences for β = 1 and Figure 4 shows the differences for β = 0.9. The differences can be quite extreme: they are in excess of 10° for small mass ratios and large inclinations and are less than −10° for grazing eclipses.

Figure 3.

Figure 3. Difference (in degrees) of the full X-ray eclipse duration computed numerically and the full X-ray eclipse duration computed analytically via Equations (6)–(10) as a function of the mass ratio q and the system inclination i. Here, we set the parameter Ω = 1 and the Roche lobe filling factor β = 1. The black curve denotes the contour corresponding to a difference of zero degrees. The locations for three systems are shown: C = Cen X-3, S = SMC X-1, and L = LMC X-1.

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Figure 4.

Figure 4. Same as in Figure 3, except here the Roche lobe filling factor is β = 0.9.

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The approximate locations in the qi plane for three systems (SMC X-1, LMC X-4, and Cen X-3) are also shown in Figures 3 and 4. Since Her X-1 is a low-mass X-ray binary, its mass ratio does not appear within the limits of the two figures. Vela X-1 and 4U 1538-52 are excluded because of their eccentric orbits. The instantaneous Roche lobe filling factor of an eccentric system during X-ray eclipse will be less than the value of β as calculated for non-eccentric systems. When β = 1, all three systems shown in Figures 3 and 4 are near the contour denoting zero difference. When β = 0.9, all three systems are above the zero-difference contour, which indicates that the eclipse durations computed numerically are longer than those computed analytically.

To illustrate the differences between the analytic and ELC results, Figures 5 and 6 show a system resembling Cen X-3 in sky coordinates, where the Roche lobe filling factor is β = 0.9. Figure 5 demonstrates that the companion star is not spherical. The parts of the star near its equator extend beyond the circle denoting the volume-equivalent sphere. Hence, one would expect that the duration of an X-ray eclipse for very high inclinations would be longer than what one would compute from the analytic approximations, and a glance at Figures 3 and 4 confirms this. In a similar manner, Figures 3 and 4 show that for grazing eclipses (i.e., lower inclinations), the numerically computed durations are shorter than the analytic approximations. One can see from Figure 5 that the polar regions of the companion star are inside the circle denoting the volume-equivalent sphere, and as a result there would be inclinations at which the analytic approximations indicate X-ray eclipses when in fact none occur.

Figure 5.

Figure 5. Representation in sky coordinates of a system resembling Cen X-3. The Roche lobe filling factor is β = 0.9, the inclination is i = 76fdg35, and the orbital phase is ϕ = 34°. The rotation axis of the companion star and the angular momentum vector of the orbit are parallel to the y-axis. The red circle denotes a sphere with the same volume as the companion star. The dot near the "10 o'clock" position marks where the neutron star is located at this phase.

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Figure 6.

Figure 6. Magnified view of the schematic diagram shown in Figure 5. The solid red line denotes a sphere with the same volume as the star, computed numerically. The dashed line denotes a volume-equivalent sphere computed using the analytic method via Equations (6)–(10). The location of the neutron star is shown at four orbital phases. In this example, the true egress phase from X-ray eclipse would be very close to 33° while the egress phase computed using the analytic approximations would be very close to 32°.

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Figure 6 shows a magnified view of Figure 5 near the neutron star eclipse. In this example, the egress phase of the X-ray eclipse is very close to 33°, since the neutron star is just crossing the limb of the companion star. The limb of the analytically computed volume-equivalent sphere is well inside the limb of the star. The egress phase of X-ray eclipse would be near 32° when the analytic expressions are used, since the neutron star is just crossing the limb of the sphere at that phase. Thus, in this example, the full duration of the X-ray eclipse computed numerically is a full 2° longer than the duration computed analytically.

Having tested both approximations, we conclude that the ELC code does offer a significantly more accurate representation of the physical system than the analytic method presented in Section 2.1. The size of the effective Roche lobe radius as a function of q and Ω is relatively well represented by the analytic formulae and ELC offers only a modest improvement. However, the difference in X-ray eclipse duration can be quite extreme (as much as ±10°) and has a direct effect on the calculation of the neutron star mass.

3. NUMERICAL METHOD

We use the ELC code and its various optimizers to analyze the data given in Table 1 and optical light curves (see Section 4) to derive the neutron star masses and their uncertainties. The ELC code has two advantages here. First, Roche geometry is used (i.e., no approximations are used to find the effective Roche lobe radius or the X-ray eclipse duration, as discussed in Section 2.2). Second, when using ELC, one can make use of any number of other sources of information about the system, such as optical light curves. When the geometry is specified, one can compute various observable properties of the system and compare them with the observed values using a χ2 or similar test. One can then find the family of geometries that best match the observed quantities, and from those geometries the masses and other system parameters follow.

To begin, the orbital period P (which is known to high accuracy) and the orbital separation a give the total mass of the binary via Kepler's Third Law. Specifying the mass ratio q then gives the component masses. The shape of the companion star is determined when the Roche lobe filling factor β and the parameter Ω are given. The shape of the orbit, if eccentric, is determined from the eccentricity e and the argument of periastron ω. Finally, when the inclination i is given, it is possible to find the K-velocities of the components, the rotational velocity of the companion star, and the duration of the X-ray eclipse. Thus, we initially have an eight-dimensional parameter space (P, a, q, β, Ω, e, ω, i) to search. However, the search of the parameter space can be simplified. First, we assume that the period P is known exactly and fix it at the appropriate value for each system. Likewise, the value of the projected semimajor axis of the pulsar's orbit aXsin i is usually known to high accuracy by measuring the X-ray pulse arrival times and is also held fixed. Next, the parameters a and q can be computed from aXsin i and the K-velocity of the companion star:

Equation (11)

Equation (12)

Equation (13)

These simplifications give us a six-dimensional parameter space (Kopt, β, Ω, e, ω, i) to search.

ELC's various optimizers allow the user to specify a wide range of values for each parameter as well as sets of data points related to the physical system, such as light curves or radial velocity curves. ELC forms random sets of parameters and uses each set to compute a model. The "fitness" of each model is defined using a χ2 merit function:

Equation (14)

Here, the notation (mod) means the quantity computed from the model, the notation (obs) means the observed quantities, and the notation σ() indicates the 1σ uncertainty of the observed quantity. We use the values of vrotsin i and ω given in Table 2. For Her X-1, we do not constrain vrotsin i but assume synchronous rotation. It might seem strange to have the terms involving Kopt, e, and ω in the merit function since they are input parameters for the model, but our experience has been that the optimizers perform better when the input parameters are drawn from a uniform distribution.

Once the fitness of a given model is determined, new parameter sets are constructed using either a Monte Carlo Markov Chain optimizer or a genetic algorithm optimizer. In the latter case, a "breeding" technique is used that is based on the "survival of the fittest" (Orosz et al. 2002). The probability of "breeding" is based on a model's fitness. Random variations (i.e., "mutations") are introduced into a small fraction of the breeding events, and the process of breeding a new population and evaluating its members is repeated over many generations. See Charbonneau (1995) for a more detailed discussion of genetic algorithms. In both the Monte Carlo Markov Chain and the genetic algorithm, the fitness of each new parameter set is determined and the process is repeated until convergence is achieved.

Ultimately, we compute hundreds of thousands of models. Each model has an associated value of χ2 and various derived parameters including the component masses, system inclination, etc. A lower χ2 value indicates higher fitness. In this particular case, the minimum possible value of χ2 is zero since there are more linearly independent input parameters than observed quantities. To define the 1σ limits, the family of models where χ2 ⩽ 1 is found and the distributions of the various parameters of interest are constructed.

We note that the value of aXsin i given for 4U 1538-52 has a relatively large uncertainty. To account for this, we modified the genetic code to allow for a range of aXsin i values drawn from the appropriate Gaussian distribution to be used. Although this modification hardly made a difference in the output parameter distributions, our results do account for the uncertainty in aXsin i.

We performed a preliminary analysis of the six systems for a range of 0.75 ⩽ β ⩽ 1 and those results are shown in Figure 7. The system inclination is inversely correlated with β, and the lower bound on β for each system corresponds roughly to i = 90°. Hence, not all systems can have masses for all of the values of β considered. Two things are apparent in Figure 7: first, the neutron star mass is highly dependent on the choice of β and second, the numerical and analytic results can differ in opposite senses to varying degrees depending on the choice of β.

Figure 7.

Figure 7. Preliminary neutron star mass vs. the companion Roche lobe filling factor β for all six systems. Analytic indicates masses derived using approximations (see Section 2) while Numerical indicates masses derived using the ELC code based on Roche geometry (see Section 3). Optical light curves have not been included in this analysis. Each numerical solution is equally likely in that the eclipse width in the model matches the observed eclipse width exactly. All residuals are in the sense Numerical–Analytic. For simplicity, 4U 1538-52 is approximated as a circular system (e = 0).

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4. OPTICAL LIGHT CURVES

To improve upon the technique described in Section 3, we consider optical light curves for five systems in addition to the parameter values in Tables 1 and 2. The shape of the ellipsoidal light variations from the companion star depends on the inclination i, the mass ratio q, the parameter Ω, and the companion star's Roche lobe filling factor β. Since the first three parameters are already well determined from the width of the X-ray eclipse and the K-velocities of each component, β should be quite well constrained by including optical light curves in the analysis. Such an analysis, which we now present, is trivial to do using ELC and extremely difficult to do using the analytic approximations.

Adding new observables to the ELC analysis adds terms to the χ2 merit function as originally shown in Equation (14). We effectively have

Equation (15)

where the final term incorporates a set of N observations defined by observable quantities yi (e.g., an optical light curve with N data points). Similar terms may be added for additional sets of observations (e.g., a radial velocity curve).

All of the folded optical light curves discussed below are presented in Figures 8 and 9 with the best-fit model for each system from ELC. For the five systems we analyze in this manner, the best-fit solution includes an accretion disk around the neutron star. Adding a disk increases the depth of the secondary eclipse and results in a better fit in all cases. For comparison, we have plotted both the best-fit model and the same model with the light from the accretion disk subtracted in Figures 8 and 9. Our final neutron star masses are presented in Table 4 and Figure 10 with the corresponding analytic masses. Rather than using a range of 0.9 ⩽ β ⩽ 1 for the analytic cases, we use the value for β returned by the best-fit ELC model for consistency.

Figure 8.

Figure 8. Optical light curves for four systems. The solid lines represent the best-fit ELC model for each system, all of which include an accretion disk around the neutron star. The dotted lines depict the models with the light from the accretion disk subtracted for comparison. The light curves for Vela X-1, SMC X-1, and Cen X-3 are all V-band data (Pojmansky 2002; Priedhorsky & Holt 1987; van Paradijs et al. 1983), while the curve for LMC X-4 is B-band data (Ilovaisky et al. 1984). All data are phased relative to the time of X-ray eclipse.

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Figure 9.

Figure 9. Optical BVI light curves and radial velocity curves for 4U 1538-52. The solid lines represent the best-fit ELC model, which includes an accretion disk around the neutron star. The dotted lines depict the model with the light from the accretion disk subtracted for comparison. The left column shows a model with e = 0.174 ± 0.015 and the right column shows a model for e = 0. The eccentric orbit model has a lower overall χ2 = 808 (vs. χ2 = 818 for the circular orbit), but as discussed in Section 4.2 there is no single physical solution for an eccentric orbit and a sufficiently long eclipse duration. All data are phased relative to the time of X-ray eclipse.

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Figure 10.

Figure 10. Final derived neutron star masses for all six systems. The solid circles represent masses derived using ELC and the open circles are the analytic solutions for comparison. The solid triangle for 4U 1538-52 represents the ELC-derived mass if the system has a circular orbit (e = 0) and the open circle for this system also represents a circular orbit (analytic solution). The solid circle for this system is the eccentric orbit mass derived using ELC. All values are given in Table 4. For consistency, the fit value of β in the ELC models was used in each analytic solution. We assume β = 1 for Her X-1.

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Table 4. Derived System Parameters

System Analytica Numerical
  MX(M) i (deg) MX(M) i (deg) $M_{\rm {opt}} (M_{\odot })$ $R_{\rm {opt}} (R_{\odot })$b fc β
Vela X-1 1.788 ± 0.157 83.6 ± 3.1 1.770 ± 0.083 78.8 ± 1.2 24.00 ± 0.37 31.82 ± 0.28 0.99 ± 0.01 1
4U 1538-52 (ecc) ... ... 0.874 ± 0.073 68.0 ± 1.4 20.72 ± 2.27 15.72 ± 0.52 0.88 ± 0.02 0.95
4U 1538-52 (circ) 1.104 ± 0.177 72.6 ± 4.2 0.996 ± 0.101 76.8 ± 6.7 14.13 ± 2.78 12.53 ± 2.11 0.76 ± 0.02 0.88
SMC X-1 1.064 ± 0.105 67.8 ± 4.2 1.037 ± 0.085 68.5 ± 5.2 15.35 ± 1.53 15.70 ± 1.36 0.86 ± 0.07 0.95
LMC X-4 1.249 ± 0.094 68.8 ± 3.3 1.285 ± 0.051 67.0 ± 1.9 14.96 ± 0.58 7.76 ± 0.32 0.86 ± 0.03 0.95
Cen X-3 1.473 ± 0.143 67.5 ± 3.2 1.486 ± 0.082 66.7 ± 2.4 22.06 ± 1.37 12.56 ± 0.56 >0.96 1
Her X-1 1.036 ± 0.311 80.5 ± 3.8 1.073 ± 0.358 >85.9 2.03 ± 0.37 3.76 ± 0.54 ... 1

Notes. aFor consistency, these analytic values are derived using the β values returned by the numerical model rather than a distribution of 0.9 ⩽ β ⩽ 1 as in Table 3 and Figure 1. bThe sphere-equivalent radius of the companion star (e.g., see Figure 5). cThe ELC fill factor, defined as the distance from the companion star's center of mass to the point of the star closest to L1. A value of f maps directly to a value for β, which is the Roche lobe filling factor expressed in terms of the sphere-equivalent volume radius. For the eccentric systems, both f and β are defined at periastron.

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4.1. Vela X-1

Vela X-1 has an 8.96 day orbital period and an eccentric orbit with e = 0.0898 ± 0.0012 (Barziv et al. 2001). The argument of periastron for the companion star is ω = 332fdg59 ± 0fdg92 (Bildsten et al. 1997), where ω = ωX + 180. The optical V light curve shown in the upper left panel of Figure 8 for Vela X-1 is binned data from the All Sky Automated Survey (Pojmansky 2002). In our preliminary analysis of Vela X-1 (e.g., Figure 7), we adopt a semiduration of the X-ray eclipse θe = 33° ± 3° (van Kerkwijk et al. 1995a). We later use the more precise value from Kreykenbohm et al. (2008), θe = 34fdg135 ± 0fdg5. Unfortunately, the analytic technique from Section 2 does not arrive at a physical solution with this longer eclipse duration due to the system's high inclination. Specifically, solving for the inclination i is not possible using Equation (6) as sin  i>1 for all the Monte Carlo simulations. The numerical ELC code does not have this same limitation. As a workaround, we keep θe = 33° ± 3° for all instances of the analytic case instead. Our final derived mass for Vela X-1 is 1.77 ± 0.08 M with a system inclination of 77fdg8 ± 1fdg2.

4.2. 4U 1538-52

4U 1538-52 has a 3.73 day orbital period and most likely an eccentric orbit. Clark (2000) and Mukherjee et al. (2006) give e = 0.174 ± 0.015 and 0.18 ± 0.01, respectively, which are in agreement. However, Makishima et al. (1987) give a much lower e = 0.08 ± 0.05 and van Kerkwijk et al. (1995a) adopt e = 0 in their analysis; even Clark (2000) provides an alternate set of fit parameters for a circular orbit. As with Vela X-1, we find no physical analytic solution for 4U 1538-52 with an eccentric orbit and its reported eclipse duration (θe = 28fdg5 ± 1fdg5) due to the system's high inclination. Therefore, we follow the approach of Clark (2000) and present numerical results for both an eccentric orbit and a circular orbit.

In addition, Clark (2000) and Mukherjee et al. (2006) give significantly different values for ω, the argument of periastron: 244° ± 9° and 220° ± 12° for the optical source, respectively. Following the approach of Zhang et al. (2005), we have extrapolated a linear decrease of ω based on the time difference between the observations made by Clark (2000) and Mukherjee et al. (2006). We estimate ω is decreasing by 0fdg0010 ± 0fdg0006 per day and that our subsequent observations should therefore have ω = 198° ± 14°. This is the value we adopt in the numerical model. Even though using a lower ω nudges the parameter space closer to a single physical analytic solution, the reported eclipse duration is still too short to allow sin i < 1 (as in Equation (6)), and we are forced to retain a model where e = 0 for the analytic case.

Due to the above discrepancies, the reportedly low neutron star mass (∼1 M; van Kerkwijk et al. 1995a), and the lack of a published light curve, we found this system especially worthy of our attention.

Optical light curves in BVI for 4U 1538-52 were obtained at the Cerro Tololo Inter-American Observatory on the 1.3 m SMARTS telescope with the ANDICAM in 2009 June–September. There are a total of 39 images in each filter taken on different nights, each with a 60 s exposure time. Standard pipeline reductions were done on all images, and differential photometry was performed in IRAF for the target and several comparison stars. Light curves are shown in Figure 9, and observations in all three filters were incorporated into our numerical analysis.

Twenty-one high-resolution spectra of 4U 1538-52 were also taken on several nights in 2009 July and August at Las Campanas Observatory on the 6.5 m Clay Magellan telescope with the MIKE spectrograph. Standard pipeline reductions were done on all frames, including heliocentric corrections. The spectroscopic analysis was performed in IRAF using cross-correlation of the blue half of the spectrum (4750–4950 Å) with a model B0 star. Radial velocities were then computed and incorporated into our numerical analysis. The radial velocity curve is plotted in the bottom panels of Figure 9 with the adopted ELC model solution.

We ran two sets of model fits. We assumed an eccentric orbit with eccentricities in a narrow range around e = 0.18 and also a circular orbit. We find Kopt = 14.1 ± 1.1 km s−1 for an eccentric orbit and Kopt = 21.8 ± 3.8 km s−1 for a circular orbit. The difference between these two measurements is due in part to the noisy data and incomplete phase coverage near phase 0.25. For comparison, Reynolds et al. (1992) found Kopt = 19.2 ± 1.2 km s−1 (uncorrected) and Kopt = 19.8 ± 1.1 km s−1 (corrected for tidal distortions) assuming a circular orbit. Our final mass for 4U 1538-52 is quite low: 0.87 ± 0.07 M for an eccentric orbit and 1.00 ± 0.10 M for a circular orbit. If the orbit is indeed eccentric, this is an extremely low neutron star mass.

4.3. SMC X-1

SMC X-1 has a 3.89 day orbital period. It also exhibits a superorbital X-ray cycle that is probably caused by precession of either the accretion disk or neutron star (e.g., Priedhorsky & Holt 1987). The optical V light curve for SMC X-1 shown in the lower left panel of Figure 8 is from van Paradijs & Kuiper (1984). Our final derived mass for SMC X-1 is 1.04 ± 0.09 M with a system inclination of 68fdg5 ± 5fdg2. We discuss the implications of this low-mass result and that of 4U 1538-52 in Section 5.

4.4. LMC X-4

LMC X-4 has a 1.41 day orbital period and, like SMC X-1, also exhibits a superorbital X-ray cycle. Heemskerk & van Paradijs (1989) performed an extensive study of the long-term variations in X-ray flux of LMC X-4 and concluded that it contained a warped, precessing accretion disk. The optical B light curve for LMC X-4 shown in the upper right panel of Figure 8 is from Ilovaisky et al. (1984). Since no data table was available, the points were extracted from their "X-ray OFF states" plot using DEXTER available via the SAO/NASA Astrophysics Data System. Our final derived mass for LMC X-4 is 1.29 ± 0.05 M with a system inclination of 67fdg0 ± 1fdg9.

4.5. Cen X-3

Cen X-3 has a 2.09 day orbital period. The optical V light curve for Cen X-3 shown in the lower right panel of Figure 8 is from van Paradijs et al. (1983). Our final derived mass for Cen X-3 is 1.49 ± 0.08 M with a system inclination of 66fdg7 ± 2fdg4.

4.6. Her X-1

Her X-1 has a 1.7 day orbital period and a much lower companion star mass than the other five systems of interest (∼2 M). Like SMC X-1 and LMC X-4, Her X-1 also exhibits superorbital X-ray cycles.

No optical light curve was used for Her X-1 because the optical K-velocity has a very large uncertainty (90 ± 20 km s−1) due to uneven X-ray heating of the companion star. As a result, any spectral lines measured do not on average emanate from the star's center of mass. An optical light curve would therefore be ineffective in constraining the fit. Further, the companion's Roche lobe filling factor β is likely very close to 1 (between 0.95 and 1) as adopted by and discussed in van Kerkwijk et al. (1995a) and Bahcall & Chester (1977). We therefore set β = 1 in our analysis. Our final derived mass for Her X-1 is 1.07 ± 0.36 M with a system inclination greater than 85fdg9.

5. DISCUSSION

We present our final derived neutron masses for all six systems in Figure 10. These values are also given in Table 4. In every case where we have incorporated light curves into the analysis, our 1σ error bars are smaller than those of the analytically derived masses. It is clear from this figure that these six neutron stars have different masses that span a range from as low as 0.9 M to as high as 1.8 M.

Kiziltan et al. (2010) recently provided a comprehensive review of mass determination for neutron stars in double neutron star binaries and in neutron star–white dwarf (NS–WD) binaries. They did not include neutron stars in X-ray binaries since the mass determinations generally have larger uncertainties than the typical uncertainties for the double neutron star and NS–WD systems. The lowest mass neutron star in the Kiziltan et al. (2010) sample with a small uncertainty is the companion to PSR J1756−2251 with M = 1.18 ± 0.03 M (Faulkner et al. 2005). The largest mass with a small uncertainty is PSR J1614−2230 with M = 1.97 ± 0.04 M (Demorest et al. 2010). Other high-mass neutron stars include PSR B1516+02B with M = 2.10 ± 0.19 M (Kiziltan et al. 2010), PSR J1748−2446I with M = 1.91+0.02−0.10, M (Kiziltan et al. 2010), and possibly the "Black Widow Pulsar" PSR B1957+20 with M = 2.40 ± 0.12 M (van Kerkwijk et al. 2011). In the case of the lattermost system, the systematic errors are potentially large owing to the extreme irradiation suffered by the pulsar's evaporating companion. The large and secure (low-uncertainty) mass of PSR J1614−2230 rules out many of the so-called soft equations of state (Özel et al. 2010).

As discussed by Kiziltan et al. (2010), the core mass of a star needs to exceed the Chandrasekhar mass if it is to end up as a neutron star. The exact value of the Chandrasekhar mass depends on the electron fraction, and Kiziltan et al. (2010) gives a plausible range of possible neutron star birth masses of 1.08 ≲ Mbirth ≲ 1.57 M. Finally, as discussed by Kiziltan et al. (2010), the millisecond pulsars in the NS–WD binaries must have accreted some mass in order to end up with millisecond spin periods. They give a range of 0.10 ≲ Macc ≲ 0.20 M based on angular momentum considerations and on plausible mass transfer rates in the X-ray binary phase. They conclude that neutron stars with masses less than about 1.1 M would be unusual since it would be difficult to exceed the Chandrasekhar mass, while neutron stars with masses above about 1.8 M must have had either a prolonged stage of mass transfer at an unusually high rate or an unusually high mass when they formed.

Until recently, the neutron star in Vela X-1 has been at the high end of neutron star mass measurements. Unfortunately, the systematic errors in the mass determination are difficult to minimize owing to the non-radial pulsations in the B-giant companion. Using the K-velocity for Vela X-1 given in Barziv et al. (2001), the mass of its neutron star is 1.77 ± 0.08 M and the companion star fills its Roche lobe at periastron. Quaintrell et al. (2003) derive a slightly higher K-velocity for Vela X-1 (22.6 ± 1.5 km s−1 compared to 21.7 ± 1.6 km s−1 from Barziv et al. 2001), and consequently they derive a higher mass for the neutron star using the analytic approximations (2.27 ± 0.17 M for β = 1). When we used this higher K-velocity in the ELC code, the best fit gave a more conservative neutron star mass of 1.84 ± 0.06 M. However, the overall χ2 was a bit worse (χ2 = 30.96 compared to 29.52), and we note that this mass does barely fall within the 1σ uncertainty of our adopted value. In spite of the uncertainties, it appears likely that the neutron star in Vela X-1 has a relatively high mass that is comparable to the masses found for PSR B1516+02B, PSR J1748−2446I, and the Black Widow Pulsar. It is interesting to note that the companion star in Vela X-1 is high mass and will most likely also produce a neutron star. If so, then Vela X-1 cannot end up in a state similar to the Black Widow Pulsar or to the NS–WD binaries PSR B1516+02B and PSR J1748−2446I.

On the lower mass end, we have 4U 1538-52 at 0.87 ± 0.07 M (eccentric) or 1.00 ± 0.10 M (circular) and SMC X-1 at 1.04 ± 0.09 M. Further spectroscopic observations are needed to better establish the shape of the orbit in 4U 1538-52 and to better establish the K-velocity. In the case of SMC X-1, the observational uncertainties are much smaller. Its mass is about 1.5σ smaller than the companion to PSR J1756−2251, which, as noted above, is the least massive neutron star known with a secure mass determination. The pulse timing properties of SMC X-1 are very well known, and the only other main quantities that could potentially change are the K-velocity of the companion star and the duration of the X-ray eclipse. To see what has to change in order to have a neutron star mass of ∼1.2 M in SMC X-1, we performed a series of fits to the light curve where the K-velocity and eclipse duration were fixed at various values. To drive the neutron star mass to higher than 1.2 M, the optical K-velocity needs to be higher (Kopt ≳ 22 km s−1 or almost 2σ higher than observed) and the eclipse duration needs to be shorter (θe ≲ 27fdg5 or about 1σ smaller than observed). These simulations are presented in Table 5. If confirmed, the low masses for the neutron stars in SMC X-1 and 4U 1538-52 would indeed challenge neutron star formation models.

Table 5. Varying Kopt and θe in SMC X-1a

MX(M) Kopt (km s−1) θe (deg)
1.091 ± 0.062 18.0 55.0
0.989 ± 0.056 18.0 58.0
0.970 ± 0.092 18.0 61.0
0.904 ± 0.050 18.0 64.0
1.103 ± 0.061 20.0 55.0
1.099 ± 0.070 20.0 58.0
1.002 ± 0.050 20.0 61.0
0.944 ± 0.055 20.0 64.0
1.203 ± 0.064 22.0 55.0
1.117 ± 0.096 22.0 58.0
1.058 ± 0.047 22.0 61.0
1.055 ± 0.048 22.0 64.0
1.260 ± 0.072 24.0 55.0
1.161 ± 0.049 24.0 58.0
1.119 ± 0.067 24.0 61.0
1.078 ± 0.046 24.0 64.0

Note. aThese Kopt and θe values have the same uncertainties as the actual Kopt and θe for SMC X-1, which are given in Table 1.

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There are a few ways to modestly improve the accuracy of our neutron star mass determinations. Since the mass of these neutron stars is proportional to K3opt, improvements in the measured velocity curves will improve the mass determinations. For three of the systems (SMC X-1, LMC X-4, and Cen X-3), this would involve the acquisition and analysis of a significant number of additional high-resolution optical spectra work which we did perform in the case of 4U 1538-52 (see Section 4.2). Improvements in the K-velocity for Vela X-1 will be difficult owing to the presence of non-radial pulsations in its B-giant companion (Barziv et al. 2001; Quaintrell et al. 2003). Likewise, improvements in the K-velocity of Her X-1 will be difficult owing to the relatively strong X-ray heating of its low-mass companion (e.g., Crampton & Hutchings 1974; Reynolds et al. 1997). Modest improvements in the measured eclipse widths and X-ray timing properties for many of the systems could be made by observing the sources with greater time coverage.

M.L.R. and J.A.O. gratefully acknowledge the support of NSF grant AST-0808145. We also thank the anonymous referee who provided constructive feedback and encouraged us to include the full optical light curve analysis in this work.

Footnotes

  • This paper includes data gathered with the 6.5 m Magellan telescopes located at Las Campanas Observatory, Chile.

  • The eclipse half-angle θe, or more specifically the semi-eclipse angle of the neutron star, represents half of the eclipse duration.

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10.1088/0004-637X/730/1/25