Abstract
We build a model of radius-to-frequency mapping in magnetospheres of neutron stars and apply it to frequency drifts observed in fast radio bursts (FRBs). We assume that an emission patch propagates along the dipolar magnetic field lines, producing coherent emission with frequency, direction, and polarization defined by the local magnetic field. The observed temporal evolution of the frequency depends on the relativistic effects of time contraction and the curvature of the magnetic field lines. The model generically produces linear scaling of the drift rate, , matching both numerically and parametrically the rates observed in FBRs; a more complicated behavior of is also possible. Fast rotating magnetospheres produce higher drifts rates for similar viewing parameters than the slowly rotating ones. In the case of repeaters, the same source may show variable drift patterns depending on the observing phase. We expect rotational of polarization position angle through a burst, though by smaller amount than in radio pulsars. All of these findings compare favorably with properties of FBRs, strengthening their possible loci in the magnetospheres of neutron stars.
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1. Introduction
Fast radio bursts (FRBs; Lorimer et al. 2007; Cordes & Chatterjee 2019; Petroff et al. 2019) are a recently identified enigmatic astrophysical phenomena. A particular subclass of FRBs—the repeating FRBs—show similar downward drifting features in their dynamic spectra: FRB 121102 (Hessels et al. 2019), FRB 180814 (The CHIME/FRB Collaboration et al. 2019a), and lately numerous FRBs detected by CHIME (Josephy et al. 2019; The CHIME/FRB Collaboration et al. 2019b). The properties of the drifting features are highly important for the identification of the loci of FRBs, as discussed by Lyutikov (2019b).
First, the generation of narrow spectral features is natural in the "plasma laser" concept of coherent emission generation, either due to the discreteness of plasma normal modes related to the spatially local plasma parameters (e.g., plasma and cyclotron frequencies) or changing resonant conditions. Frequency drift then reflects the propagation of the emitting particles in changing magnetospheric conditions, similar to what is called "radius-to-frequency mapping" in pulsar research (e.g., Manchester & Taylor 1977; Phillips 1992).
Second, drift rates and their frequency scaling can be used to infer the physical size of the emitting region (Lyutikov 2019b). Josephy et al. (2019; see also Hessels et al. 2019) cite a drift rate for FRB 121102 of
extending for an order of magnitude in frequency range. This implies that (i) emission properties are self-similar (e.g., power-law scaled) and (ii) of a typical size:
Both these estimates are consistent with emission been produced in magnetospheres of neutron star.
In this paper, we build a model of radius-to-frequency mapping for (coherent) emission generated by relativistically moving sources in magnetospheres of neutron star. The concept of "radius-to-frequency mapping" originates in pulsar research (e.g., Manchester & Taylor 1977; Phillips 1992). The underlying assumption is that at a given place in the magnetospheres of pulsars, the plasma produces emission specified by the local, radius-dependent properties. This general concept does not specify a particular emission mechanism, it just assumes that the properties are radius dependent.
As a working model, we accept the "magnetar radio emission paradigm," in which the coherent emission is magnetically powered, similar to solar flares, as opposed to rotationally powered in the case of pulsars (Lyutikov 2002; Popov & Postnov 2013). Recently, Maan et al. (2019) discussed how many properties of magnetar radio emission resemble those of FRBs (except the frequency drifts; see Section 2.3.1)
Rotationally powered FRB emission mechanisms (e.g., as analogs of Crab giant pulses; Lyutikov et al. 2016) are excluded by the localization of the Repeating FRB at ∼1 Gpc (Spitler et al. 2016), as discussed by Lyutikov (2017). Magnetically powered emission has some observational constraints, but remains theoretically viable (Lyutikov 2019a, 2019b).
Within the "magnetar radio emission paradigm," the coherent emission is generated on closed field lines, presumably due to reconnection events in the magnetosphere. The observed properties then depend on (i) the particular scaling of the emitted frequency ω on the emission radius rem——we leave this dependence unspecified; (ii) the motion of the emitter—we assume motion along the magnetic field line; (iii) the emission beam—we assume that emission is along the local magnetic field lines; and (iv) the line of sight (LOS) through the spinning magnetosphere.
In this paper, we consider all the above effects. First, in Section 2.2, we consider stationary magnetospheres; in Section 2.3, we consider spinning ones.
2. Emission Kinematics with Relativistic and Curvature Effects
2.1. Model Setup
An important concept is the observer time—a time measured from the arrival of the first emitted signal (see, e.g., models of gamma-ray bursts; Piran 2004). In our case, both the relativistic motion and the curved trajectory strongly affect the relation between the coordinate time, t, and the observer time, tob. To separate effects of rotation from the propagation, we first consider stationary magnetospheres.
Let us assume that at time t = 0, an emission front is launched from radius, r0, propagating with velocity βc along the local magnetic field; Figure 1. Thus, we assume that the whole of the magnetosphere starts to produce emission instantaneously. The trigger could be, e.g., an onset of magnetospheric reconnection event (Lyutikov 2006, 2015). A reconnection event that encompasses the whole region near the surface of the neutron star will be seen at some distance away as a coherent large-scale event. If only a patch of the magnetosphere produces an emission, the light curves will be truncated accordingly. Given that we already have a number of model parameters, we did not explore the finite size of the emission regions in the r–θ–ϕ space.
Let the observer be located at an angle θob, measured from the instantaneous direction of the magnetic dipole. Angle θob defines a field line with a tangent (the magnetic field) along the LOS at the radius r0. That field line can be defined by the angle θ0 of the magnetic foot point. At time t the photons emitted from the surface at t = 0 propagated a distance ct. It is assumed that at each point emission is produced along the LOS (solid points and arrows in Figure 1). We assume that at given location rem the emission front produces coherent emission at a frequency . (We neglect the fact that in a dipolar magnetosphere the strength of the magnetic field at given radius varies by a factor of 2 depending on the magnetic latitude.) As the emission front propagates in the magnetosphere, different magnetic field lines contribute to the observed emission. At time t emission point is located at distance rem and the polar angle θem. Emission from the point rem arrives at the observer at time tob that depends on (i) the emission time, (ii) the velocity of the emission front, and (iii) the geometry of field lines.
For a field line parametrized by polar angle θ0 at r0, a distance along the field line from θ0 to θ > θ0 is
Emitting particles move according to
where t is the coordinate time.
The points θem in the dipolar magnetosphere that have magnetic field along the LOS satisfy
As Figure 1 demonstrates, the observer time is given by (speed of light is set to unity)
with rem(t) given by the requirement that particles propagating along the curved field with velocity β emit along the local magnetic field. For nearly straight field lines and highly relativistic velocity, , the effects of field line curvature dominate for θob − θem ≥ 1/Γ. (In the calculations below, the time is normalized to unites r0/c, where r0 is some initial radius, not necessarily the neutron star radius.)
We then implement the following procedure (see Figure 1):
- 1.Given is the observer angle θob (with respect to the magnetic dipole).
- 2.Find the polar angle of the footprint by solving Equation (5) and setting . (Superscript (0) indicates the moment t = 0).
- 3.
- 4.
- 5.Using Equation (4) find θ0—the polar angle of the field line that produces emission at time t.
- 6.Given time t and the location of the emission point, we can calculate the observer time; see Equation (6).
- 7.We then find dependence of rem versus tob.
- 8.Assuming some ω(rem), we find the radius-to-frequency mapping ω(tob).
Thus, we take into account relativistic transformations and curvature of the field lines in calculating the relations between the observer time versus the coordinate time. We implicitly assume that emitted frequency is the function of the emission radius, ω(rem), but given our uncertainty about the emission properties we do not specify a particulate dependence ω(rem). We plot curves for generic profiles and ; the last scaling is expected if the emission is linearly related to the local magnetic field.
The velocity of the emitting front has a complicated effect on the overall duration of the observed pulse and a range of emitted frequencies. For subrelativistic velocities and . As , the observed duration shortens, tob ≪ Δt. But for sufficiently high velocity, β ≈ 1 with θem − θob ≥ 1/Γ, this relativistic LOS contraction become unimportant, as the observed duration is determined by the curvature of field lines.
2.2. Results: Stationary Magnetosphere
In Figure 2, we implement the procedure described above showing rem(tob) for the extreme relativistic limit of β = 1. This figure demonstrates that the effects of magnetic field line curvature can dominate over the relativistic effects along the LOS.
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Standard image High-resolution imageFor assumed scaling ω(rem) and , the corresponding curves ω(tob) are given in Figure 3. The model generally reproduces approximate linear drifts rates (see, e.g., Josephy et al. 2019, their Figure 6), regardless of the particular power-law dependence ω(rem). We consider this as a major success of the model.
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Standard image High-resolution image2.3. Rotating Magnetosphere
We assume next that the star is rotating with spin frequency Ω. The magnetic polar angle of the LOS at time t in the pulsar frame is then
where α is the inclination angle between rotational axis and magnetic moment; is the observer angle in the plane comprising vectors of Ω, μ and the LOS; and Δϕ is the azimuthal angle of the observer with respect to the Ω–μ plane when the injection starts: this is the phase at t = 0. (For example, if emission starts when the LOS is in the Ω–μ plane, at that moment .)
We then implement the procedure outlined in Section 1, with the following modifications; see Figure 4:
- 1.Given are the , α, β, Ω, and Δϕ.
- 2.
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Standard image High-resolution image2.3.1. Frequency Drifts in Rotating Magnetosphere
In the rotating magnetospheres, the observed frequency drifts are generally more complicated, as the LOS samples larger part of the magnetosphere. A key limitation in the approach is that we assume that the whole surface r = 0 produced as emission front—thus, different parts of the emission front maybe casually disconnected—under certain circumstances this leads to unphysical results (e.g., upward frequency drifts).
In Figure 5, we plot emission radius as function of observer time for different pulsar spins. It is clear that for a given intrinsic burst duration larger Ω produce emission that is seen for a longer observer time. This is due to the fact that the LOS samples larger angular range and correspondingly larger differences in the LOS advances of the emitting region.
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Standard image High-resolution imageIn Figures 6 and 7, we show the corresponding frequency drifts for selected parameters. As is clear from the plots, the evolution of the peak frequency can be more complicated in the rotation magnetospheres, as the LOS samples large variations of plasma parameters. (The dimensionless spin Ω = π/2 in Figure 6 is relatively high; smaller Ω produce more linear scalings).
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Standard image High-resolution imageImportantly, depending on the trigger phase Δϕ the same object will produce different rem(tob) curves; see Figure 8. This explains why in the Repeaters FRB 121102 different burst have different drifts (Hessels et al. 2019). The fact that different parts of the magnetar magnetosphere can become active also explains the lack of periodicity in repeating FRBs.
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Standard image High-resolution image2.3.2. Prediction: Polarization Swings
Polarization behavior of FBRs is, arguably, the most confusing overall (Masui et al. 2015; Petroff et al. 2015; Caleb et al. 2019; Petroff et al. 2019). We are not interested here in the propagation effects (e.g., sometimes huge and sometimes not rotation measure). There is a clear repeated detection of linear polarization. Importantly, FRBs have thus far not shown large polarization angle swings (Petroff et al. 2019).
The present model does not address the origin of polarization, as it would depend on the particular coherent emission mechanism. On basic grounds, polarization is likely to be determined by the local magnetic field within the magnetosphere. The model then does predict polarization angle swings. In the rotating vector model (RVM; Radhakrishnan & Cooke 1969) polarization swings reflect a local direction of the magnetic field at the emission point. In our notations, the position angle of polarization χ is given by
Generally, we do expect polarization swings through the pulse; see Figure 9. Qualitatively, the fastest rate of change of the position angle occurs when the LOS passes close to the magnetic axis; this requires (so that the denominator comes close to zero). This is the case for rotationally powered pulsars. If emission is generated far from the magnetic axis, the expected PA swings are smaller. Thus, we do predict that PA swings will be observed within the pulses, but with values smaller than the ones seen in radio pulsars.
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Standard image High-resolution image3. Discussion
In this paper, we further argue that frequency drifts observed in FRBs point to the magnetospheres of neutron stars as the origin (see also Lyutikov 2019b). Our preferred model is a young magnetar-type pulsar producing reconnection events during magnetic relaxation in the magnetospheres (Popov & Postnov 2013). This should be a special type of magnetar, as there are observational constraints against radio bursts associated with the known magnetars (see, e.g., discussion in Lyutikov 2019b)
In an astronomical setting, the repeater FRB 121102 is localized to an active star-forming galaxy, where ones does naturally expects young neutron stars (Tendulkar et al. 2017). In contrast, FRB 180924 is identified with galaxy dominated by an old stellar population with low star formation rate (Bannister et al. 2019). One possibility is the formation of a neutron star from an accretion induced collapse of a white dwarf with a formation of a neutron star; this process is probably responsible for formation of young pulsars in globular clusters (Lyne et al. 1996).
The main points of this work are as follows:
- 1.The observed drift rate Equation (1) implies sizes of the order of magnetospheres of neutron stars. This is a somewhat independent constraint on the emission size, in addition to total duration of FRBs (which also is consistent with magnetospheric size).
- 2.The observed linear scaling of drift rate with frequency, Equation (1), is a natural consequence of radius-to-frequency mapping in magnetospheres of neutron stars. It is valid, generally, for any power-law type ω(rem) dependence. In fast rotating pulsars, the drifts can have more complicated structure; e.g., Figure 7.
- 3.
- 4.In each given (repeating) FRB, emission can originate at arbitrary rotational phases, resulting in different drift profiles in different pulses from a given repeater; see Figure 8.
The model has a number of predictions:
- 1.Polarization swings within the bursts, reminiscent of RVM for pulsars, can be observed. The amplitude of the swings in FRBs is expected to be smaller than in radio pulsar, as the emission sights are not limited to the region near the magnetic axis, where PA swings are the largest.
- 2.For some parameters (LOS, magnetic inclination, and spin) the frequency drifts are not linear in frequency, e.g., Figure 7. Given a limited signal to noise ratio of the typical data, regular, continuous frequency drifts are easier identifiable; more complicated ones are more difficult to find during the de-dispersion procedure. We encourage searchers for more complicated frequency drifts within FRBs.
This work was supported by DoE grant DE-SC0016369, NASA grant 80NSSC17K0757, and NSF grants 10001562 and 10001521. I thank Roger Blandford, Jason Hessels, Victoria Kaspi, and Amir Levinson for discussions and comments on the manuscript.