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Emission from a Pulsar Wind Nebula: Application to the Persistent Radio Counterpart of FRB 121102

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Published 2019 November 11 © 2019. The American Astronomical Society. All rights reserved.
, , Citation Yu-Han Yang and Zi-Gao Dai 2019 ApJ 885 149 DOI 10.3847/1538-4357/ab48dd

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0004-637X/885/2/149

Abstract

The properties of fast radio bursts (FRBs) indicate that the physical origin of this type of astrophysical phenomenon is related to neutron stars. The first detected repeating source, FRB 121102, is associated with a persistent radio counterpart. In this paper, we propose that this radio counterpart could arise from a pulsar wind nebula powered by a magnetar without surrounding supernova ejecta. Its medium is a stratified structure produced by a progenitor wind. The model parameters are constrained by the spectrum of the counterpart emission, the size of the nebula, and the large but decreasing rotation measure (RM) of the repeating bursts. In addition, the observed dispersion measure is consistent with the assumption that all of the RM comes from the shocked medium.

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1. Introduction

Fast radio bursts (FRBs) are millisecond transients of GHz radio radiation (Lorimer et al. 2007; Keane et al. 2012; Thornton et al. 2013; Spitler et al. 2014; Masui et al. 2015; Ravi et al. 2015, 2016; Champion et al. 2016; Petroff et al. 2016). Their physical origin is still mysterious. Their large dispersion measures (DMs ∼ 100–2600 pc cm−33 ) suggest that they are at cosmological distances (Ravi 2019). The DM of an FRB contains multiple possible contributions, e.g., the disk and halo of the Milky Way and the host galaxy (Oppermann et al. 2012; Dolag et al. 2015; Xu & Han 2015; Tendulkar et al. 2017; Yao et al. 2017), the intervening intergalactic medium (McQuinn 2014; Akahori et al. 2016), and their local environment (Connor et al. 2016; Lyutikov et al. 2016; Piro 2016; Yang et al. 2017; Michilli et al. 2018). FRB 121102 is the first detected repeating event among the observed FRBs (Scholz et al. 2016; Spitler et al. 2016; Chatterjee et al. 2017; Marcote et al. 2017; Gajjar et al. 2018; Zhang et al. 2018). Chatterjee et al. (2017), Marcote et al. (2017), and Tendulkar et al. (2017) discovered both radio and optical counterparts associated with FRB 121102 and identified its host galaxy at a redshift of z = 0.193.

Quite a few studies have focused on the explosion model of this kind of repetitive FRB. For models in which FRBs are powered by a young neutron star formed in core-collapse supernova (SN; Popov & Postnov 2010; Nicholl et al. 2017; Waxman 2017), FRB signals may pass through the SN remnant, which provides a portion of the DM and the rotation measure (RM). Although the contribution of this fraction of the DM is small, it dominates the evolution of the total DM over years (Katz 2016; Murase et al. 2016; Piro 2016; Metzger et al. 2017; Yang et al. 2017; Yang & Zhang 2017). However, the DM evolution has not been detected yet. In addition, both a wind bubble produced by an interaction between an ultra-relativistic pulsar wind and the ejecta (Murase et al. 2016) and a forward shock (FS) produced by an interaction between the fast outer layer of SN ejecta and the ambient medium (Metzger et al. 2017) can provide persistent radio radiation. In order to avoid the DM evolution, an ultra-stripped SN with the ejecta of mass ≲0.1 M was proposed (Piro & Kulkarni 2013; Kashiyama & Murase 2017), or even no ejecta around the pulsar (Dai et al. 2017). What's more, if the progenitor is a massive star, it should have produced a strong, magnetized wind (Ignace et al. 1998; ud-Doula & Owocki 2002), leading to a decreasing density profile (Chevalier 1982; Chevalier & Fransson 2003; Harvey-Smith et al. 2010), which is different from a constant-density interstellar matter (Piro & Gaensler 2018).

The observed data of the persistent radio counterpart have not been fitted satisfactorily and some details have remained unclear. Motivated by these arguments above, in this paper we investigate the DM and RM seen for FRB 121102 and their time evolution based on the scenario that a magnetar is surrounded by a stellar wind medium rather than SN ejecta. The pulsar wind nebula (PWN) is produced by an interaction between a pulsar wind and its magnetized stellar wind environment. We show that our PWN scenario can explain the persistent radio counterpart in reasonable ranges of the model parameters. This paper is organized as follows. In Section 2, we describe the dynamics of our model. We discuss the fitting results for observations of this source in Section 3, and conclude with a summary of our work in Section 4.

2. The Model of a PWN

We propose a PWN model for the persistent radio source of FRB 121102, in which an ultra-relativistic wind from an ultra-strongly magnetized pulsar interacts with an existing stellar wind. In order to validate this model, we consider two scenarios. First, for a single star, a massive star that has produced a stellar wind collapses to a neutron star and a highly anisotropic outflow is ejected. In this case, no SN ejecta would be expected along our line of sight. Second, for a binary system, alternatively, the progenitor is a white dwarf (WD) with a companion star. The mass loss of this companion leads to a stellar wind environment, in which the binary system is immersed, and eventually accretion-induced collapse (AIC) of the WD generates an ultra-strongly magnetized pulsar without any SN ejecta (Nomoto & Kondo 1991; Yu et al. 2015).

2.1. Dynamics

A young pulsar generates an ultra-relativistic wind that is dominated by electrons/positrons pairs. Considering that there is no ejecta along our line of sight, the pulsar wind directly interacts with the surrounding environment. Due to this wind sweeping up its surrounding medium, it results in two shocks: a reverse shock (RS) heating the cold wind, and an FS propagating into the surrounding medium. Therefore, this PWN consists of four regions: the unshocked medium (Region 1), the shocked medium swept by the FS (Region 2), the shocked wind swept by the RS (Region 3), and the unshocked wind (Region 4). The schematic figure of our model is presented in Figure 1.

Figure 1.

Figure 1. The schematic picture of our model. A young pulsar at the center of the source, which generates an ultra-relativistic wind filled with electrons/positrons pairs. Assuming that there is no ejecta in our line of sight, the pulsar wind directly interacts with the circumstellar medium. This physical process forms two shocks: a reverse shock (RS) heating the cold wind, and a forward shock (FS) that goes into the surrounding medium. So the PWN consists of four regions, including the unshocked medium (Region 1), the shocked medium swept up by the FS (Region 2), the shocked wind swept up by the RS (Region 3), and the unshocked wind (Region 4).

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The motion of the PWN satisfies the conservation of momentum (Reynolds & Chevalier 1984),

Equation (1)

where Rp and Ppwn are the radius and pressure of the nebula, respectively, and ρ0 is the density of the surrounding medium. We presume the scale of the shocked medium swept by the FS is much smaller than the radius of the PWN.

We assume that the density profile of the medium is a power-law function

Equation (2)

If the ambient medium is a steady wind with a constant mass-loss rate from the progenitor, the index k = 2 and $A=\tfrac{\dot{M}}{4\pi {v}_{w}}=5.0\times {10}^{13}\,{\dot{M}}_{-5}{v}_{6}^{-1}$ g cm−1, where $\dot{M}={10}^{-5}\,{\dot{M}}_{-5}\,{M}_{\odot }$ yr−1 and vw = 106v6 cm s−1 are the mass-loss rate and wind velocity of the progenitor, respectively (Piro & Gaensler 2018). As a convention, we employ Q = 10nQn in cgs units if there are no other explanations. The mass of shocked medium swept up by the FS is given by

Equation (3)

The conservation of energy gives (Reynolds & Chevalier 1984; Piro & Kulkarni 2013)

Equation (4)

where L is the luminosity of the pulsar, and Λ is the radiative energy loss. If we ignore the radiative energy loss, Λ = 0, a self-similar solution of the radius of PWN can be obtained by Equations (1) and (4),

Equation (5)

where t10yr = t/10 yr. The pressure in the nebula is

Equation (6)

The pulsar wind is terminated when the ram pressure of the wind is balanced by the PWN pressure (Gaensler & Slane 2006)

Equation (7)

which satisfies the condition that Rt ≪ Rp.

The total number of electrons in region 2 is written as

Equation (8)

where mp is the proton mass, and the subscript "fs" indicates the corresponding quantities of the FS medium (Region 2). In the following equations, the subscript "rs" denotes the quantities of the RS wind (Region 3). The radius of Region 2 is

Equation (9)

2.2. Emission

We discuss synchrotron emission from Region 3. Considering that the particles in the nebula are relativistic, the energy density in Region 3 is

Equation (10)

The magnetic field of the PWN is expressed by

Equation (11)

where εB,rs is the ratio of the magnetic energy density to the total energy density behind the RS.

Electrons (and positrons) in the cold pulsar wind (Region 4) are accelerated to ultra-relativistic energies by the termination shock at Rt. We assume that the electron density profile is a power-law function initially, ${{dn}}_{e,\mathrm{rs}}^{{\prime} }/d{\gamma }_{e}={K}^{{\prime} }{\gamma }_{e}^{-p}$ cm−3 for ${\gamma }_{\min }\leqslant {\gamma }_{e}\leqslant {\gamma }_{\max }$. In this equation, ${\gamma }_{\min }$ and ${\gamma }_{\max }$ are the minimum and maximum Lorentz factor in Region 3, respectively,

Equation (12)

Equation (13)

where γw is the bulk Lorentz factor of the pulsar wind, ${\varepsilon }_{e,\mathrm{rs}}=1-{\varepsilon }_{B,\mathrm{rs}}$ is the electron energy density fraction of this Region (Dai & Cheng 2001; Huang et al. 2006), and the "constant" coefficients in this equation and the following equations are taken for p = 1.53. The cooling Lorentz factor in this Region is given by

Equation (14)

where σT is the Thomson scattering cross section. The corresponding frequency is obtained by

Equation (15)

Similarly, the corresponding frequency of the minimum Lorentz factor is written by

Equation (16)

Due to the cooling effect, the distribution of the electrons behind the termination shock becomes (Sari et al. 1998)

Equation (17)

The total electron number density is found by

Equation (18)

Thus the election energy density is

Equation (19)

We then obtain

Equation (20)

If ${\nu }_{\min }\leqslant {\nu }_{a}\lt {\nu }_{c}$, the synchrotron self-absorption frequency is written by

Equation (21)

The peak flux density at a luminosity distance of DL from the source is calculated by

Equation (22)

where

Equation (23)

For the emission from Region 2 that is much fainter than that from Region 3, the synchrotron emission flux density at any frequency ν is given by

Equation (24)

where the coefficient

Equation (25)

Because Region 2 and 3 are separated by a contact discontinuity with a radius of Rp, the pressures should satisfy

Equation (26)

We infer that most of the electrons in Region 2 are in the non-relativistic regime for ${\gamma }_{p}={(1-{v}_{p}^{2}/{c}^{2})}^{-1/2}\sim 1$, so we can ignore the synchrotron emission in Region 2, and the adiabatic index in Region 2 is 5/3, leading to a correlation of the energy densities,

Equation (27)

Thus, the magnetic field in this Region is given by

Equation (28)

where εB,fs is the ratio of the magnetic energy density to the total energy density behind the FS.

2.3. DM and RM

Based on the electron number density of Region 3 and the dynamics of Region 2, we can deduce the DM and RM in the two regions. The DM in Region 3 is calculated by

Equation (29)

which potentially changes with time. Taking the time derivative of Equation (29), we find

Equation (30)

From Equation (9), the DM in Region 2 is given by

Equation (31)

Taking the time derivative of Equation (31), we find

Equation (32)

Since the electrons and the positrons in the shocked nebula produce the opposite RM, we just consider the RM of Region 2, which is

Equation (33)

Both the DM and the RM decrease with time.

3. Fitting Results

In this section, we fit the observed results according to the model in Section 2, including the spectrum of the persistent radio counterpart and the RM observations accompanied by FRB 121102. We can fit the spectrum of the persistent radio source by using three parameters through the Markov chain Monte Carlo (MCMC) method, ${F}_{\nu ,\max }{\left({\nu }_{\min }/\mathrm{Hz}\right)}^{(p-1)/2}$, p and νc. We obtain the best-fitting parameters: ${F}_{\nu ,max}{\left({\nu }_{min}/{\rm{Hz}}\right)}^{\left(p-1\right)/2}=7.8\times {10}^{4}\mu $, p = 1.53 and νc = 7.4 × 109Hz, and the corresponding spectrum is shown in Figure 2. By diffusive shock acceleration, the power-law index of relativistic electrons (whose adiabatic index is γ = 4/3) is (r + 2)/(r − 1) = (3γ − 1)/2 = 1.5, where the shock compression ratio r = (γ + 1)/(γ − 1) (Caprioli 2011). This kind of hard electron spectrum has been applied to the radio emission component of many PWNe (e.g., Zhang et al. 2008; Martín et al. 2016) and some gamma-ray burst (GRB) afterglows (e.g., GRB 000301c (Panaitescu 2001) and GRB 010222 (Dai & Cheng 2001).

Figure 2.

Figure 2. The spectrum of the persistent radio counterpart of FRB 121102 with the parameters ${F}_{\nu ,max}{\left({\nu }_{min}/{\rm{Hz}}\right)}^{\left(p-1\right)/2}=7.8\times {10}^{4}\mu $, p = 1.53, and νc = 7.4 × 109 Hz, which are the best value from the MCMC fitting. The black square data are observed by the Karl G. Jansky Very Large Array (Chatterjee et al. 2017).

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Furthermore, we obtain the evolution time from Equation (15)

Equation (34)

corresponding to MJD=57637 (∼4 yr later after the first pulse of FRB 121102 was detected). Introducing the evolution time when we observe the spectrum into Equation (25), the luminosity of the pulsar can be found by

Equation (35)

Introducing the two conditions above, we get some constrains on these parameters. From the radio observation in 5 GHz at MJD = 57653, we know that Rp ≤ 0.7 pc (Marcote et al. 2017),

Equation (36)

From νa ≤ 1.63 GHz, we find

Equation (37)

By substituting Equation (35) into Equation (33), the rotation measure is derived as

Equation (38)

The two values of the observed RM are RM1 = 1.0 × 105 rad m−2 (MJD = 57750) and RM2 = 9.4 × 104 rad m−2 (MJD = 57991; Gajjar et al. 2018; Michilli et al. 2018). The corresponding evolution time of the first observed RM approximates to t0. Introducing these observed data into Equation (38), t10yr,0 = 1.4 can be obtained, which is consistent with t0 > 4 yr. Substituting this condition into Equation (34), we can get

Equation (39)

By substituting t10yr,0 and Equation (39) into Equation (38), we can obtain ${\varepsilon }_{B,\mathrm{fs},-4}=26{\varepsilon }_{B,\mathrm{rs}}^{11/3}{\varepsilon }_{e,\mathrm{rs}}^{-2/3}$. Since εB,fs, −4 < 1 and by introducing Equation (39) into the limit of A13, we can infer the limit that 0.55 ≤ εB,rs ≤ (1 − 1. 4 × 10−4). Then the ranges of all parameters could be obtained, which are presented in Table 1. For a neutron star, if the progenitor or the companion of its progenitor is a massive star, which has typical mass-loss rate and wind velocity, we can obtain the range of the wind mass loading parameter (A) in the table. DMrs and $| d{\mathrm{DM}}_{\mathrm{rs}}/{dt}| $ are calculated with γw = 105. If we choose a smaller γw, the contributions of Region 2 to the DM and its evolution would be more important. As εB,rs increases, DMrs and $| d{\mathrm{DM}}_{\mathrm{rs}}/{dt}| $ increase, but DMfs and $| d{\mathrm{DM}}_{\mathrm{fs}}/{dt}| $ decrease. We plot the RM evolution in Figure 3. It is seen from this figure that our model can explain the observed RM very well.

Figure 3.

Figure 3. Evolution of RM with time. The red line is corresponding to our model. The square data are the RM observed by Arecibo and the Robert C. Byrd Green Bank Telescope (Gajjar et al. 2018; Michilli et al. 2018).

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Table 1.  Physical Magnitudes

Quantities Reasonable Values
t0 (yr) 14
εB,rs 0.55–0.99986
εB,fs 5.1 × 10−4 − 0.96
L (erg s−1) 1.5 × 1040 − 4.7 × 1043
A (g cm−1) 2.5 × 1013 − 4.5 × 1013a
DMrs (pc cm−3) 0.14–1.4
$\left|\tfrac{d{\mathrm{DM}}_{\mathrm{rs}}}{{dt}}\right|$ (pc cm−3 yr−1) 0.013–0.12
DMfs (pc cm−3) 2.6–85a
$\left|\tfrac{d{\mathrm{DM}}_{\mathrm{fs}}}{{dt}}\right|$ (pc cm−3 yr−1) 0.19–6.1a

Note.

aThe range of physical quantities marked correspond to the opposite range of εB,rs.

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By introducing the parameters in Table 1 into Equation (3), we find that the shocked medium mass is Msw ≃ 0.03 M. The scenario of AIC suggested in the first paragraph of Section 2 is valid if the SN ejecta mass is smaller than this value of Msw. In numerical simulations on AIC, the ejecta mass (Mej) was found to be in the range of a few times 10−3 M − ∼0.1 M (Dessart et al. 2006; Darbha et al. 2010; Ruiter et al. 2019). In order to give a low ejecta mass (Mej < Msw) that guarantees our model to be self-consistent, the WD progenitor must have a low initial poloidal magnetic field (e.g., ≲1011 G; Dessart et al. 2007) and be uniformly rotating slowly (Abdikamalov et al. 2010). Besides, in order to satisfy the assumption that the spin-down luminosity of the pulsar (L = Lsd,0) is constant, the evolution time t0 should be less than the spin-down timescale tsd. The characteristic spin-down luminosity and timescale due to magnetic dipole radiation are expressed by (Dai et al. 2017)

Equation (40)

Equation (41)

where BNS, PNS, RNS, and INS are the polar magnetic dipole field strength on the surface, the initial rotation period, the radius, and the moment of inertia of the neutron star. The constraint on t0 mentioned above and the range of the luminosity in Table 1 can be used to obtain the limits on the initial rotation period of the neutron star,

Equation (42)

According to the angular momentum conservation during the collapse of the WD (the effect of the low-mass ejecta is ignored), we find $\tfrac{2}{5}\,{M}_{\mathrm{WD}}{R}_{\mathrm{WD}}^{2}(2\pi /{P}_{\mathrm{WD}})$ ∼ $\tfrac{2}{5}\,{M}_{\mathrm{NS}}{R}_{\mathrm{NS}}^{2}(2\pi /{P}_{\mathrm{NS}})$, and thus the rotation period of the WD progenitor PWD is constrained in Figure 4. For the typical parameters (RWD ∼ 109 cm and RNS ∼ 106 cm), PWD is in the range of a few times 102–104 s.

Figure 4.

Figure 4. Constraints on the period of a white dwarf progenitor PWD and the magnetic field of a neutron star BNS. The neutron star is assumed to arise from accretion-induced collapse of the WD progenitor. The solid line results from the lower limit of the spin-down luminosity of the neutron star (Lsd), and the dashed line is obtained from the upper limit of Lsd and the minimum value of tsd.

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4. Summary

In this paper, we have proposed a model for the persistent radio source associated with FRB 121102, in which a rapidly-rotating strongly magnetized pulsar's wind drives a non-relativistic PWN in an ambient progenitor wind. The PWN is produced by an interaction between the pulsar wind consisting of ultra-relativistic electron/positron pairs and the stellar wind. The spectrum of the persistent radio counterpart and the RM of FRB 121102 have been fitted in our model. The parameters in the model are constrained effectively. Furthermore, we obtained the evolution of the DM and RM. Our model can still give a reasonable explanation for the observations.

This model has been constructed in two ways, which are scenarios of highly anisotropic ejecta and AIC of a WD. In the second case, the WD progenitor needs a low initial poloidal magnetic field, a small differential rotation, and a rotation period in the range of a few times 102–104 s.

Our model with an electron–positron component pulsar wind is more general than the model that assumes that pulsar wind contains a large number of ions (Margalit & Metzger 2018). In addition, our model is very simple. Compared with those models containing ejecta (e.g., Margalit & Metzger 2018; Piro & Gaensler 2018), this simple model does not provide very large DM evolution and free–free absorption. In addition, we have obtained a set of parameter values that can fully fit the observed data by restricting the model from the observations.

We thank Liang-Duan Liu for your helpful suggestions and Gaoyuan Zhang, Xiaotian Xu, Lei Sun, and Xiao Zhang for discussions. This work is supported by the National Key Research and Development Program of China (grant No. 2017YFA0402600) and the National Natural Science Foundation of China (grant No. 11573014 and 11833003).

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10.3847/1538-4357/ab48dd