POTENTIAL GAMMA-RAY EMISSIONS FROM LOW-MASS X-RAY BINARY JETS

, , , , and

Published 2015 June 17 © 2015. The American Astronomical Society. All rights reserved.
, , Citation Jian-Fu Zhang et al 2015 ApJ 806 168 DOI 10.1088/0004-637X/806/2/168

0004-637X/806/2/168

ABSTRACT

By proposing a pure leptonic radiation model, we study the potential gamma-ray emissions from the jets of low-mass X-ray binaries. In this model, the relativistic electrons that are accelerated in the jets are responsible for radiative outputs. Nevertheless, jet dynamics are dominated by magnetic and proton–matter kinetic energies. The model involves all kinds of related radiative processes and considers the evolution of relativistic electrons along the jet by numerically solving the kinetic equation. Numerical results show that the spectral energy distributions can extend up to TeV bands, in which synchrotron radiation and synchrotron self-Compton scattering are dominant components. As an example, we apply the model to the low-mass X-ray binary GX 339–4. The results not only can reproduce the currently available observations from GX 339–4, but also predict detectable radiation at GeV and TeV bands by the Fermi and CTA telescopes. Future observations with Fermi and CTA can be used to test our model, which could be employed to distinguish the origin of X-ray emissions.

Export citation and abstract BibTeX RIS

1. INTRODUCTION

Among Galactic X-ray binaries, there are about 20 strong candidate or firmly confirmed microquasars that show evidence of extended relativistic radio jets, in which the jet is powered by an accretion of the central compact object. According to the mass of the companion star, they are classified as high- and low-mass microquasars. For these kinds of X-ray binaries, it is widely believed that during the low/hard spectral state, radio and infrared (IR) emissions originate from the synchrotron processes of relativistic electrons in a persistent jet.

In the low/hard state of these X-ray binaries, there is still an ongoing debate regarding the origin of X-ray emissions (e.g., McClintock & Remillard 2006). One possibility is that they originate in a hot plasma corona (e.g., Liu et al. 1999), through the Comptonization of the thin accretion disk photons by hot electrons in the corona, or in a hot accretion flow (e.g., Esin et al. 2001; Yuan et al. 2005), via the Comptonization of synchrotron photons within the hot accretion flow. Another possibility is that they may have their origins in the jets, either as synchrotron emission (e.g., Markoff et al. 2001, 2003; Kaiser 2006; Maitra et al. 2009; Pe'er & Casella 2009; Vila & Romero 2010; Pe'er & Markoff 2012; Vila et al. 2012) or synchrotron self-Compton scattering (SSC, Markoff et al. 2005; Maitra et al. 2009), or external-radiation-Compton scattering (ERC, Pe'er & Markoff 2012). Alternatively, the jet emitting disk (e.g., Zhang & Xie 2013) and disk corona-jet models (Qiao & Liu 2015) are also proposed to interpret X-ray emissions from black hole X-ray binaries.

The study of observational and theoretical aspects of microquasars, particularly in the GeV and TeV domains, is a very active topic. From an observational point of view, five sources (including confirmed and candidate microquasars) are detected at high-energy (GeV) bands by the Fermi Large Area Telescope (Fermi-LAT) and the AGILE satellite, and/or at very high-energy (TeV) bands by the Major Atmospheric Gamma Imaging Cherenkov Telescope (MAGIC), the High Energy Stereoscopic System (HESS), and the Very Energetic Radiation Imaging Telescope Array System: Cygnus X-1 (e.g., Albert et al. 2007; Malyshev et al. 2013), Cygnus X-3 (e.g., Abdo et al. 2009a; Tavani et al. 2009), SS433 (Bordas et al. 2015), LS 5039 (e.g., Aharonian et al. 2005; Abdo et al. 2009b), and LS I +$61^\circ $ 303 (e.g., Albert et al. 2006; Abdo et al. 2009c). These gamma-ray detections imply that extreme particle acceleration is at work in these systems. However, none of these detected gamma-ray sources are low-mass microquasars. One possible reason is that these systems cannot exactly produce any GeV and TeV photons, as a result of the expectedly inefficient effect of a low-mass companion star. Another possible reason is that no one has put forward an observational plan to detect this class of object. However, they are emitting detectable gamma-ray signatures. To our knowledge, almost no campaign detecting gamma-rays from a low-mass microquasar has been carried out (however, see Bodaghee et al. 2013).

Based on leptonic and/or hadronic considerations, many models for jet emissions of high-mass microquasars are proposed in the literature (e.g., Romero et al. 2003; Bosch-Ramon et al. 2006; Khangulyan et al. 2008; Zdziarski et al. 2014; Zhang et al. 2014). In these models, the stellar companion plays a key role, providing a seed photon field in a leptonic model or a target for proton–proton/proton–photon interactions in a hadronic one, even resulting in a cascade process. However, very little attention is focused on the low-mass microquasars, in particular, for gamma-ray productions in a leptonic model. The hadronic model for a low-mass microquasar is proposed in Romero & Vila (2008), in which theoretical spectral energy distributions (SEDs) that are from cascade processes induced by relativistic protons can well extend into PeV bands. Subsequently, the further refined models (called lepto-hadronic ones) have been developed to investigate the low-mass microquasars GX 339–4 (Vila & Romero 2010) and XTE J1118+480 (Vila et al. 2012). In these lepto-hadronic models, radio and X-ray emissions are explained as the origin of the jet, in which SEDs could predict the detectable emissions at GeV and TeV bands by Fermi-LAT and CTA.

A recent search for neutrino emission from a sample of six microquasars is presented in Adrián-Martínez et al. (2014) by the ANTARES neutrino telescope. This study has provided upper limits of the possible neutrino fluxes, which constrain the scenario such that the ratio of proton to electron power is far less than 100 for a hadronic jet model of low-mass microquasars (Zhang et al. 2010). Besides, almost all the fits to GX 339–4 in the lepto-hadronic models need the ratio of proton to electron power to be close to 1 (e.g., Vila & Romero 2010). In a hadronic or lepto-hadronic model, protons must be accelerated to about 10 PeV in order to excite hadronic cascade emissions. Such a high energy actually requires the existence of an extremely physical environment. Nevertheless, the requirement for electrons in a hadronic model is relatively loose, that is, the maximum energy of electrons is commonly below TeV energies (e.g., Romero & Vila 2008; Zhang et al. 2010). However, the simulations by particle-in-cell (PIC) methods demonstrate the presence of very strong coupling between electrons and shock-heated protons (Spitkovsky 2008; Sironi & Spitkovsky 2011), which implies that the mostly dissipated energies are converted into primary electrons. Furthermore, the recent hybrid PIC simulations indicate that it needs a stringent condition for an effective acceleration of protons, that is, only when shocks propagate parallel to the upstream magnetic field (Caprioli & Spitkovsky 2014).

Given the above analysis and a lower radiative efficiency of protons than that of electrons, the leptonic models appear to be strongly supported over the hadronic ones. Therefore, in this work we carry out a study of low-mass microquasar broadband emissions in the framework of a pure leptonic model. We want to know whether a pure leptonic model can also provide the expected gamma-ray emissions as that of a hadronic model. It should be noted that there are some works on the jet emission of X-ray binaries in the framework of the leptonic model (Kaiser 2006; Pe'er & Casella 2009). A common feature is that they considered the effects of radiative and adiabatic cooling of relativistic electrons. More concretely, Kaiser (2006) focused on the flat synchrotron spectra of partially self-absorbed jets by considering the different jet geometries, such as ballistic and adiabatic scenarios. By using the electron spectral distribution with a Maxwellian shape at low energies plus a power-law tail at high energies, Pe'er & Casella (2009) studied the features of radiative spectra from the jet of X-ray binaries in detail and considered that a single acceleration episode is at work at the base of the jet. In these works, the models can produce multi-wavelength emissions ranging from radio to hard X-ray (or soft gamma-ray) bands and do not need to re-accelerate the electrons in the jet.

In particular, except for including the radiative and adiabatic losses of relativistic electrons, we consider the evolution of the relativistic electron along the jet by the kinetic equation. Furthermore, the dissipation region is extended to a large scale of the jet where the maximum energy of ultra-relativistic electrons can be constrained by the first-order Fermi acceleration mechanism. It is more obvious that the SEDs in our work can extend into the GeV and TeV ranges. As an example of application, we use our model to fit the low-mass microquasar GX 339–4. The results show that our pure leptonic model can not only provide possible explanations for the current observations, but also predict GeV and TeV band emissions.

The paper is organized as follows. Descriptions for a leptonic jet model are presented in Section 2. Numerical results of the model are shown in Section 3. Section 4 is the fitting results to GX 339–4. Conclusions and discussion are given in Section 5.

2. MODEL DESCRIPTIONS

Like the case of active galactic nuclei, the mechanism of the jet formation of X-ray binaries is still an open question. The seminal theoretical works have suggested that large-scale magnetic fields anchored in an accretion disk or a black hole induce the generation of jets by means of a magneto-centrifugal mechanism (Blandford & Znajek 1977; Blandford & Payne 1982). According to this mainstream thought, the jet in this work is considered a Poynting flux-dominated one in its innermost region that then converts the magnetic energy into the matter kinetic energy at a larger jet height. However, it is unclear where and how a Galactic jet converts from a Poynting flux- to matter-dominated jet and how efficient the conversion is. It is stated that MHD instabilities are possible trigger mechanisms of the conversion (e.g., Sikora et al. 2005). These instabilities could produce the magnetic energy dissipation via shocks or magnetic reconnection, resulting in an acceleration of relativistic particles.

In this study, we focus on the jet radiative properties rather than its dynamical structure. We consider that only electrons are accelerated up to relativistic energies and produce emissions. However, the cold-proton–matter and magnetic energies dominate the dynamics of the jet. The geometry of a low-mass microquasar is the same as that of a high-mass one. For the latter, the high-mass companion has significant effects in the aspect of radiative output, even on dynamical structures of the system. However, in the current scenario the companion effect to the system is negligible. The geometry of our jet radiation model is similar to Figure 1 of Zhang et al. (2014), which is developed to study the high-mass microquasar Cygnus X-1.

Figure 1.

Figure 1. Distributions of relativistic electrons as a function of electron energy at different heights of the jet. The adopted parameters are listed in Table 1 for Case A.

Standard image High-resolution image

2.1. Electron Distribution

We assume that the steady-state electron distribution in a conical jet is governed by the following kinetic equation (e.g., Zdziarski et al. 2014; Zhang & Lu 2015)

Equation (1)

where the first term represents spatial advection, corresponding to the divergence, $\nabla\cdot \boldsymbol{\upsilon }N$, in a spherical coordinate, and the second term is the energy losses of electrons. ${\tilde{Q}}_{\mathrm{in}}$ is the injection rate of relativistic electrons. $\tilde{N}$ is the number density of electrons per unit volume, as a function of the electron energy γ and the jet height z from the central compact object. ${\rm{\Gamma }}_{j}$ is the bulk Lorentz factor of the jet, ${\beta }_{j}=\sqrt{{\rm{\Gamma }}_{j}^{2}-1}/{\rm{\Gamma }}_{j}$ is the bulk velocity, and c is the speed of light. After introducing ${N}_{\gamma }(\gamma ,z)={\rm{\Gamma }}_{j}{\beta }_{j}{{cdt}}^{\prime }\pi {(z\mathrm{tan}\theta )}^{2}\tilde{N}$, and ${Q}_{\mathrm{in}}(\gamma ,z)={\tilde{Q}}_{\mathrm{in}}\pi {(z\mathrm{tan}\theta )}^{2}{\rm{\Gamma }}_{j}{\beta }_{j}{{cdt}}^{\prime }$ (here, θ is a half-cone angle of the jet), Equation (1) is changed into the following form (see also, Moderski et al. 2003; Zhang et al. 2014):

Equation (2)

where ${Q}_{\mathrm{in}}={{dN}}_{\gamma }/{{dt}}^{\prime }$. The energy loss rate of relativistic electrons along the jet is given as

Equation (3)

where ${t}^{\prime }$ is the time in the jet co-moving frame. The second term of the right-hand side of Equation (3) indicates the adiabatic loss of electrons. The total radiative loss rates of an electron, ${(d\gamma /{{dt}}^{\prime })}_{\mathrm{rad}}$, include synchrotron, its Comptonization, and ERC from the disk and corona photons.

It is not clear which mechanism is operating to accelerate electrons up to relativistic energies. It could be shock acceleration, stochastic acceleration or magnetic reconnection (see Zdziarski et al. 2014, for some discussions), or shock interaction in a magnetic reconnection site (Lazarian & Vishniac 1999; de Gouveia dal Pino & Lazarian 2005). The diffusive shock acceleration involving the first-order Fermi process is often regarded as the most effective scenario in jets. However, this process requires that electrons are pre-heated up to a value comparable to the energy of thermal ions. Fortunately, a quasi-Maxwellian electron distribution with strong coupling with protons has been found in PIC simulations of collisionless relativistic (Spitkovsky 2008; Sironi & Spitkovsky 2011) and non-relativistic (Riquelme & Spitkovsky 2011) shocks. For the current study, jets are relativistic or should be at least mildly relativistic. In fact, the low-energy tail of electrons with a thermal distribution has a relatively small contribution to the SEDs. On one hand, a sharp low-energy cutoff, ${\gamma }_{\mathrm{br}}$, from which electrons can be energized, is assumed in Zdziarski et al. (2014) for the jets of black hole X-ray binaries in the low/hard state. On the other hand, a hard injection spectrum below ${\gamma }_{\mathrm{br}}$, which could approximate the Maxwellian distribution, is used to model a sample of blazars (e.g., Ghisellini & Tavecchio 2009; Zhang et al. 2012). Similarly to the latter, the relativistic electrons injected in the dissipation region are considered as

Equation (4)

where ${\gamma }_{\mathrm{br}}$ is the break energy of relativistic electrons, and p and q are the energy spectral indices of the electrons below ${\gamma }_{\mathrm{br}}$ and above ${\gamma }_{\mathrm{br}}$, respectively. The normalization constant of the electrons, ${K}_{e}$, is determined by

Equation (5)

where ${L}_{\mathrm{acc}}={\stackrel{\dot{}}{M}}_{\mathrm{acc}}{c}^{2}$ is the accretion power of the system via Roche lobe outflows of the companion star. Here, ${\stackrel{\dot{}}{M}}_{\mathrm{acc}}$ is the mass accretion rate. The power of relativistic electrons, ${L}_{\mathrm{rel}}={\eta }_{\mathrm{rel}}{L}_{\mathrm{jet}}$, accounts for a fraction of the jet power of ${L}_{\mathrm{jet}}\;={\eta }_{\mathrm{jet}}{L}_{\mathrm{acc}}$. We further consider ${\eta }_{\mathrm{jet}}$ to be 0.1 and ${\eta }_{\mathrm{rel}}$ an adjustable parameter. ${\gamma }_{\mathrm{min}}$ (assuming to be 1) and ${\gamma }_{\mathrm{max}}$ are minimum and maximum energies of the relativistic electron, respectively.

We adopt a theory of shock acceleration to obtain electron maximum energy, considering the balance between an acceleration rate and total loss rates. For a standard first-order Fermi acceleration mechanism, the acceleration rate of an electron in an ordered magnetic field B(z) is written as

Equation (6)

where ${\eta }_{\mathrm{ac}}$ is a parameter that characterizes an acceleration efficiency in a dissipation region and e is the elementary charge. The magnetic fields evolve along the jet in the form of $B(z)={B}_{0}{z}_{\mathrm{in}}/z$.

2.2. Radiative Processes

Synchrotron emissions are calculated by using the formulae in Spada et al. (2001). According to the radiative transfer equation, the resulting synchrotron luminosity in solid angle of $\delta {\rm{\Omega }}_{j}$ is given by

Equation (7)

where $\delta {j}_{{\nu }^{\prime }}^{\prime }$ is the pitch-angle averaged synchrotron emissivity and ${\tau }_{s}$ is the optical depth of synchrotron self absorption. $\delta {N}_{\gamma }={N}_{\gamma }\delta {\rm{\Omega }}_{j}/{\rm{\Omega }}_{j}$ is the number density of electrons in each solid angle.

For numerical calculations of both SSC and ERC of disk and corona photons, we used Equation (14) of Zhang et al. (2014). In practice, we consider a spherical corona with a radius of $3{R}_{\mathrm{in}}$ surrounding the central compact object. Here, ${R}_{\mathrm{in}}\approx 10{R}_{g}$ is a truncation radius of the standard thin accretion disk, and ${R}_{g}={{GM}}_{\mathrm{BH}}/{c}^{2}$ is a gravitational radius of the black hole with a mass of ${M}_{\mathrm{BH}}$. It is generally considered that the hard X-ray observations with a power-law spectrum are explained as owing to Comptonization of accretion disk photons by hot electrons in the plasma corona. For simplification, the photon field of the corona is assumed to be a power law plus an exponential cutoff, ${u}_{c}={K}_{c}{\varepsilon }^{-{p}_{c}}{e}^{-\varepsilon /{\varepsilon }_{c}}$. Here, ${\varepsilon }_{c}$ is the maximum energy of the corona photon and the photon index ${p}_{c}$ is 1.5 in this work. The normalization constant ${K}_{c}$ is deduced by

Equation (8)

where ${L}_{\mathrm{cor}}={f}_{c}{L}_{\mathrm{acc}}$ is the bolometric luminosity of the corona and ${f}_{c}$ is a parameter.

We approximate the accretion disk as a planar geometry following Sikora et al. (2013). The energy density of disk photons in the jet co-moving frame at a height z is expressed as

Equation (9)

where $\mathrm{cos}{\theta }_{\mathrm{ex}}=z/\sqrt{{z}^{2}+{R}^{2}}$. ${R}_{\mathrm{in}}$ and ${R}_{\mathrm{out}}$ are the inner and outer radii of the disk, respectively. The emission spectra of an accretion disk are calculated following Frank et al. (2002), together with an irradiation effect of the outer disk by its inner zone and/or corona. Detailed treatment of reprocessing of X-rays in the outer accretion disk would involve many parameters and complex processes; we thus parameterize the reprocessed fraction of bolometric flux with a factor of ${f}_{\mathrm{out}}=0.1$ (see Gierliński et al. 2009, for more details). It is noticed that the temperature for a standard thin disk is $T\propto {R}^{-3/4}$. However, for an irradiation disk, it is $T\propto {R}^{-1/2}$. Other model details are the same as those of Zhang et al. (2014).

In this study, we consider an extended dissipation region that is located in the jet. In this case, an absorption of high-energy photons can be avoided even if an emission region is very close to the central compact object. As shown in Vila & Romero (2010) for the low-mass microquasar GX 339–4, the absorption of TeV photons by infrared synchrotron photons is negligible even for a slightly compact dissipation region. From researching high-mass microquasars, we know that large jet scales absorptions of high-energy photons by disk and corona photons can be neglected. Therefore, the electromagnetic cascade processes due to internal synchrotron photons and the external disk and corona photons are not modeled.

3. NUMERICAL RESULTS

In order to test our radiation model, we first explore the evolution of relativistic electrons and multiband SEDs by using some typical parameters for a general low-mass microquasar. For numerical procedures, interested readers are referred to Zhang et al. (2014). The characteristic parameters for a general low-mass microquasar are given as follows: a black hole mass of ${M}_{\mathrm{BH}}=10\;{M}_{\odot }$, a distance of $d=2\;\mathrm{kpc}$, and an accretion rate of ${\stackrel{\dot{}}{M}}_{\mathrm{acc}}=3.0\times {10}^{-8}{M}_{\odot }$ yr−1. The model parameters are listed in Table 1 for Case A.

Table 1.  The Free Parameters Adopted in the Model

Case ${\eta }_{\mathrm{rel}}$ ${z}_{\mathrm{in}}[{R}_{g}]$ ${z}_{\mathrm{end}}[{R}_{g}]$ ${B}_{0}\;(\rm{G})$ ${\gamma }_{\mathrm{br}}$ p q ${\eta }_{\mathrm{ac}}$ ${f}_{c}$ ${\varepsilon }_{c}$ ($\mathrm{keV}$)
A 0.1 $7.00\times {10}^{1}$ $3.00\times {10}^{6}$ $1.0\times {10}^{5}$ $1.0\times {10}^{3}$ 1.0 2.5 0.01 0.01 100
B1 0.009 $6.73\times {10}^{1}$ $3.37\times {10}^{5}$ $2.0\times {10}^{6}$ $2.0\times {10}^{3}$ 1.0 2.6 0.1 0.12 60
B2 0.08 $6.73\times {10}^{3}$ $4.04\times {10}^{5}$ $3.0\times {10}^{3}$ $1.0\times {10}^{3}$ 1.0 2.6 0.01 0.12 60
C1 0.07 $6.73\times {10}^{1}$ $3.37\times {10}^{5}$ $3.0\times {10}^{6}$ 1.4 0.1 0.001 60
C2 0.04 $6.73\times {10}^{3}$ $4.04\times {10}^{5}$ $2.5\times {10}^{4}$ 1.4 0.01 0.001 60

Note. ${\eta }_{\mathrm{rel}}$: conversion efficiency of relativistic electrons; ${z}_{\mathrm{in}}$: start of dissipation region in jet; ${z}_{\mathrm{end}}$: end of dissipation region in jet; ${R}_{g}$: gravitational radius; ${B}_{0}$: magnetic field strength; ${\gamma }_{\mathrm{br}}$: electron break energy ; p: spectral index of electrons below ${\gamma }_{\mathrm{br}}$; q: spectral index of electrons above ${\gamma }_{\mathrm{br}}$; ${\eta }_{\mathrm{ac}}$: acceleration efficiency; ${f}_{c}$: ratio ${L}_{\mathrm{cor}}/{L}_{\mathrm{acc}}$; ${\varepsilon }_{c}$: corona photon break energy.

Download table as:  ASCIITypeset image

The distributions of relativistic electrons as a function of the energy γ along with the height of the jet z are plotted in Figure 1. From the beginning of the injection of relativistic electrons, the number of electrons increases with the height of the jet. It is noticed that when an injection spectrum of electrons is adopted in the form of a broken power law, the resulting electron spectra have a broken form around ${\gamma }_{b}$. At the low-energy limit, the number of electrons increases with their energies. However, due to a rapid cooling of electrons, the number of electrons decreases with their energies at the high-energy limit.

Figure 2 demonstrates broadband SEDs for a general low-mass microquasar. As shown in this figure, the emissions from the disk (including a standard thin disk and the corresponding irradiated disk) and hot plasma corona contribute radiative fluxes ranging from near-IR through ultraviolet (UV) to MeV bands. The synchrotron emission provides radiative fluxes at radio, IR, and about $0.1\;\mathrm{GeV}$ bands. The SSC spectrum dominates fluxes above $1\;\mathrm{GeV}$. Even though relativistic electrons injected in the jet are at a distance of $70{R}_{g}$ close to the central compact object, the ERC of soft photons of the accretion disk and corona is still negligible.

Figure 2.

Figure 2. SEDs of a general low-mass microquasar. The adopted parameters are listed in Table 1 for Case A. The disk spectrum includes the contribution from an irradiated outer disk (short dashed line).

Standard image High-resolution image

As a result, we find that the nonthermal emissions from the jet, e.g., synchrotron and SSC, dominate the jet radiative outputs. It is well known that these two components are mainly governed by electron distributions and a magnetic field strength in an emission region. Therefore, we define a magnetization parameter $\sigma ={u}_{B}/{u}_{\mathrm{kin}}$ to characterize the role that magnetic fields play in a jet flow, that is, a ratio of magnetic energy density to matter kinetic density. Here, ${u}_{B}={B}^{2}/8\pi $ is the magnetic energy density in a completely ordered magnetic field and ${u}_{\mathrm{kin}}={L}_{\mathrm{jet}}/c{\rm{\Gamma }}_{j}{\beta }_{j}\pi {(z\mathrm{tan}\theta )}^{2}$ is the kinetic energy density of jet matter. With the values adopted in this numerical test, we find $\sigma \sim 4\times {10}^{-3}$ at the initial location of the dissipation region. It is very evident that the entire dissipation region is sub-equipartition.

4. APPLICATION TO GX 339–4

GX 339–4 has been intensively observed in radio, IR, optical, and X-ray bands (e.g., Corbel et al. 2000; Homan et al. 2005; Yu et al. 2007; Wu et al. 2010; Gandhi et al. 2011; Yan & Yu 2012). The source goes through all the spectral states of a typical black hole X-ray binary. The radio image of the GX 339–4 jet is achieved by Gallo et al. (2004) after the X-ray outbursts of 2002, which confirmed that this source is a microquasar. A central black hole, with a mass $\gt 6{M}_{\odot }$, is in an orbit around a dark companion star, with a mass in the range [$0.166{M}_{\odot }$$1.1{M}_{\odot }$] (Muñoz-Darias et al. 2008), which is located at a distance of $\sim 6-9\;\mathrm{kpc}$ (Zdziarski et al. 2004).

It can be seen that this source is a low-mass microquasar. A distance of $d=6\;\mathrm{kpc}$ and a black hole mass of ${M}_{\mathrm{BH}}=6$ are used in our following fittings. In addition, some typical values are fixed as a jet bulk Lorentz factor of ${\rm{\Gamma }}_{j}=2$, an accretion rate of ${\stackrel{\dot{}}{M}}_{\mathrm{acc}}=5\times {10}^{-8}{M}_{\odot }$ yr−1, a half-cone angle of $\theta =5^\circ $, and a viewing angle of ${\theta }_{\mathrm{obs}}=30^\circ $. As exposed in Section 3, synchrotron and SSC dominate the radiative outputs of the jet for the case of the sub-equipartition. Below, we explore two cases, that is, the magnetization parameter $\sigma \sim 1$ and $\ll 1$.

The first case corresponds to an equipartition between the magnetic energy density and kinetic energy density of matter. The initial location of the emission region is first fixed at a distance of ${10}^{8}\;\mathrm{cm}$ ($\sim 67.3{R}_{g}$). We then adjust the values of the jet power ${L}_{\mathrm{jet}}$ and the magnetic field strength ${B}_{0}$ to make σ close to 1. Last but not least, some parameters that are associated with relativistic electrons, such as spectral indices and break energy, are adjusted to fit observations. According to the constraints of X-ray observations, which are regarded as corona-dominated emissions, the value of the break energy ${\gamma }_{\mathrm{br}}$ is determined.

Figure 3 shows the SEDs of GX 339–4 confronting the observations available and the sensitivity limits of telescopes. The fitting parameters are listed in Table 1 for Case B1. As shown in this figure, the synchrotron emission and the irradiation of the accretion disk can well explain observations ranging from radio to UV bands. X-ray data are fitted by the corona photon spectrum that is considered as a power law plus an exponential cutoff. Synchrotron and SSC spectra are dominant at the GeV and TeV bands, respectively. It can be seen that synchrotron emission flux can compare to the sensitivity limit of Fermi; however, SSC flux is significantly below the sensitivity limit of CTA. The ERC spectra from the disk and corona are negligible.

Figure 3.

Figure 3. Fitting the SEDs of GX 339–4 for the corona-dominated X-ray emissions under an equipartition condition. The radio through UV up to X-ray observations are from Gandhi et al. (2011). The thick solid lines are $5\sigma $ sensitivity limits for different instruments (one-year survey mode for Fermi and 50 hr of direct exposure for HESS, MAGIC-II, and CTA). The fitting parameters are listed in Table 1 for Case B1.

Standard image High-resolution image

By adopting the similar method mentioned previously, a sub-equipartition case is explored here. The fitting result is presented in Figure 4 with the parameters given in Table 1 for Case B2. From this figure, we see that at low-energy bands, the model can well reproduce observations. The SSC component dominates the radiative flux at GeV and TeV bands; this flux can match the sensitivity limits of Fermi and CTA, but is still below the sensitivity limits of MAGIC-II and HESS. In this case, we obtain a magnetization parameter $\sigma =3.44\times {10}^{-6}$ at the initial location of electron injection, which indicates that the emission location is in a very low magnetization (e.g., matter-dominated) region.

Figure 4.

Figure 4. Fitting the SEDs of GX 339–4 for the corona-dominated X-ray emissions under a sub-equipartition scenario. The thick solid lines are the sensitivity limits of Fermi, HESS, MAGIC-II, and CTA. The fitting parameters are listed in Table 1 for Case B2.

Standard image High-resolution image

Heretofore, we consider that the X-ray emission has its origin in a corona. However, studies of the correlation between X-ray and radio flux show the fact that there is a tight positive correlation for GX 339–4, ${F}_{\mathrm{radio}}\propto {F}_{X}^{0.7}$ (Corbel et al. 2003), which appears to suggest that both waveband emissions have a common origin, that is, they may be from the jet region of X-ray binaries by possible radiative processes (Markoff et al. 2001, 2003, 2005; Corbel & Fender 2002; Corbel et al. 2003; Maitra et al. 2009; Vila & Romero 2010; see also Section 1 for a review). After weakening the contribution from the hot corona, we use the jet nonthermal emission to fit X-ray observations together with other band data, considering two scenarios, e.g., equipartition and sub-equipartition.

In order to fit X-ray observations, we have to adjust the spectral index q below 1.5. Meanwhile, we must use a more low break energy ${\gamma }_{\mathrm{br}}$ close to the minimum energy (set as 1) in order to fit IR and optical data. In view of this reason, we give up using the broken power-law spectrum and assume a single power-law form, ${Q}_{\mathrm{in}}\propto {\gamma }^{-p}$, spanning the entire energy band. Figures 5 and 6 show the fitting SEDs of GX 339–4 for equipartition and sub-equipartition cases, respectively. The parameters used are listed in Table 1 for Case C1 (Figure 5) and Case C2 (Figure 6). As shown in these figures, the synchrotron emission can reproduce radiative fluxes at radio, IR, optical, and X-ray bands. SSC component dominates gamma-ray band emissions, which can predict a detectable signature by Fermi and CTA telescopes, but still below the sensitivity limits of MAGIC-II and HESS. It is noticed that for the case of equipartition the synchrotron emission presents a higher peak frequency than that of the sub-equipartition one ($\sigma =2.39\times {10}^{-4}$), because a stronger magnetic field is used in the case of the former.

Figure 5.

Figure 5. Fitting the SEDs of GX 339–4 for the jet-dominated X-ray emissions under an equipartition condition. The thick lines are the sensitivity limits of Fermi, HESS, MAGIC-II, and CTA. The fitting parameters are listed in Table 1 for Case C1.

Standard image High-resolution image
Figure 6.

Figure 6. Fitting the SEDs of GX 339–4 for the jet-dominated X-ray emissions under a sub-equipartition scenario. The thick lines are the sensitivity limits of Fermi, HESS, MAGIC-II, and CTA. The fitting parameters are listed in Table 1 for Case C2.

Standard image High-resolution image

In summary, we have employed our leptonic radiation model to fit observations from GX 339–4 and predict possible gamma-ray emissions. For the two equipartition scenarios (shown in Figures 3 and 5), it needs to provide a high acceleration efficiency of ${\eta }_{\mathrm{ac}}=0.1$. However, this value is relatively low, that is, 0.01, for the sub-equipartition cases (see also Table 1). The main reason is that the expected maximum energy of relativistic electrons required is close to about $1\;\mathrm{TeV}$ in order to emit gamma-rays. In addition, because the dominant (synchrotron) loss rate is $\propto \;{\gamma }^{2}{B}^{2}$ and the acceleration rate $\propto \;{\eta }_{\mathrm{ac}}B$ (see Equation (6)), we have the electron maximum energy of ${\gamma }_{\mathrm{max}}\propto {({\eta }_{\mathrm{ac}}/B)}^{1/2}$. The fittings show that Fermi and CTA should have the ability to detect this source. We note that synchrotron and SSC spectra present different slopes for the different origins of X-ray emissions. Thus, the possible detection with Fermi and CTA could help to distinguish the origin of X-ray emissions.

5. CONCLUSIONS AND DISCUSSION

We have proposed a pure leptonic radiation model to study electromagnetic radiation spectra from jets of the low-mass X-ray binaries. This model considers the evolution of relativistic electrons along the jet by numerically solving the kinetic equation. The main photon fields for a general low-mass microquasar, such as the accretion disk and corona photons, are involved in the model. Our results show that both synchrotron and SSC spectra play a dominant role, which is similar to the synchrotron plus SSC model that is often used to interpret the emissions of extragalactic BL Lacertae objects. The ERC spectra (disk and corona) are negligible, though the injection location of electrons is close to the central compact object. As an example, we have applied this model to the low-mass microquasar GX 339–4. Our model can well reproduce the observations available at radio, IR, optical, UV, and X-ray bands, and predict potential gamma-ray emissions at the GeV and TeV bands. Observations with the instruments, Fermi and CTA, can be used to test our model, which could be adopted to distinguish the origin of X-ray emissions.

Based on the work of Markoff et al. (2005), an irradiated disk plus jet model was used to fit observations of the low-mass X-ray binaries XTE J1118+480 and GX 339–4 from radio through X-rays (Maitra et al. 2009). Their results to the fitting of GX 339–4 showed that the jet model emitting synchrotron and SSC radiation dominates emission output through the entire waveband, without requiring a disk component, in which the SSC component provides a significant fraction of the X-ray emission flux, especially when the base of the dissipation region is set to close to the central compact object. In the current work, the SSC spectrum dominates the GeV and TeV band emissions and has no contribution to the X-ray observations. In addition, an irradiation disk and jet synchrotron or corona components are alternatively adopted to explain emissions from radio to X-ray bands. As shown in Figures 36, this work uses the more complete IR, optical, and UV data compared with that of Maitra et al. (2009). However, the SSC component is still loose due to lacking any data above the X-ray band while the current observations can constrain the synchrotron spectrum.

For the case of the corona-dominated X-ray emissions, locating the dissipation region at sub-equipartition scales is optimistic for gamma-ray productions. Moreover, the value of ${\gamma }_{\mathrm{br}}\sim {10}^{3}$, which is needed to eliminate the synchrotron spectral contribution to X-ray emissions, is close to the average energy of the shocked ions. For the case of the jet-dominated X-ray emissions, we used an electron spectrum with a single-power-law form. However, in this case, a hard electron spectral index of p = 1.4 is used. In the theory of non-relativistic diffusive shock acceleration, it is well known that the spectral index should be close to 2. At present, though there are many works on this topic, we still know little about more physical aspects. We notice that a particle injection spectrum with a hard index has been obtained in Stecker et al. (2007), by using a Monte Carlo simulation of particle diffusive acceleration at relativistic shocks. Besides, the formation of a hard power-law distribution ($\simeq 1$) of the energetic particle spectra is derived by three-dimensional PIC simulations from a relativistic magnetic reconnection (Guo et al. 2014).

From the perspective of energy spectral fitting, many works regarding the jet emissions indeed demonstrate that the power-law index is greater than 2 (e.g., Markoff et al. 2005; Kaiser 2006; Maitra et al. 2009; Pe'er & Casella 2009), in which almost no gamma-ray emission, especially very high-energy gamma-ray emission, is expected. However, if one expects a pure jet model (especially in a low-mass X-ray binary) to produce the entire broadband emissions ranging from radio via optical and X-ray to GeV and TeV bands, the jet itself needs to provide more energy to the energetic electrons. In this case, a hard power-law index is needed, as shown in Figures 5 and 6 (see also Vila & Romero 2010; Zhang et al. 2014, for a similar scenario) though one would expect a large power law.

As pointed out in Section 2, an expected location of particle acceleration should not be at the base of the jet, in which the outflow should be a Poynting flux-dominated one. According to the fitting results of GX 339–4, it also appears to support the scenario that the jet emission is away from the central compact object, and at a sub-equipartition region (see also Figures 4 and 6). In the present work, we parameterized the acceleration efficiency as a factor ${\eta }_{\mathrm{ac}}$. Without a doubt, this overlooks many physical details regarding jets and precludes insight into the jet dynamical properties. Furthermore, in order to obtain the expected maximum energy of relativistic electrons, which mainly decides the condition of whether or not electromagnetic spectra can extend into gamma-ray regimes, we have used the relatively effective efficiency ${\eta }_{\mathrm{ac}}=0.1$ or 0.01.

For the high X-ray luminosities observed in black hole X-ray binaries or extragalactic blazars, if their emission fluxes are produced in a jet, a powerful jet with a significant amount of leptonic content is necessary, because electrons have very high radiative efficiency in contrast to protons. A lepto-hadronic model needs more effective acceleration efficiency than a pure leptonic scenario, that is, it is necessary to make protons accelerate up to about $10\;\mathrm{PeV}$, at which protons can efficiently excite proton–photon/proton–proton interactions. In practice, because the lepto-hadronic model involves multiple secondary particles promoting cascade processes, it is difficult to distinguish the contribution of each individual component. In this regard, our leptonic radiation model is more pure.

The authors thank the referee for helpful comments that improved the paper and Dr. Mai-Chang Lei for beneficial discussion. We would like to thank Dr. Poshak Ghandhi for sending us observations. We gratefully acknowledge financial support from the National Basic Research Program of China (973 Program) under grant 2014CB845800, and from the National Natural Science Foundation of China under grants 11233006, 11363003, 11222328, 11333004, 11373002, 11473022, and U1331101.

Please wait… references are loading.
10.1088/0004-637X/806/2/168