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SYNCHROTRON-LOSS SPECTRAL BREAKS IN PULSAR-WIND NEBULAE AND EXTRAGALACTIC JETS

Published 2009 August 31 © 2009. The American Astronomical Society. All rights reserved.
, , Citation Stephen P. Reynolds 2009 ApJ 703 662 DOI 10.1088/0004-637X/703/1/662

0004-637X/703/1/662

ABSTRACT

Flows of synchrotron-emitting material can be found in several astrophysical contexts, including extragalactic jets and pulsar-wind nebulae (PWNe). For X-ray synchrotron emission, flow times are often longer than electron radiative lifetimes, so the effective source size at a given X-ray energy is the distance electrons radiating at that energy can convect before they burn off. Since synchrotron losses vary strongly with electron energy, the source size drops with increasing X-ray energy, resulting in a steepening of the synchrotron spectrum. For homogeneous sources, this burnoff produces the well known result of a steepening by 0.5 in the source's integrated spectral index. However, for inhomogeneous sources, different amounts of steepening are possible. I exhibit a simple phenomenological picture of an outflow of relativistic electrons with bulk nonrelativistic flow speed, with transverse flow-tube radius, magnetic field strength, matter density, and flow velocity all varying as different powers of distance from the injection point. For such a picture, I calculate the value of the spectral index above the break as a function of the power-law indices, and show the possible range of steepenings. I show that these simple calculations are confirmed by full integrations of source luminosity, which also include the spectral "bump" below the break from the accumulation of electrons formerly at higher energies. In many cases, extragalactic jets show X-ray synchrotron emission steeper by more than 0.5 than the radio emission; the same phenomenon is exhibited by many PWNe. It is possible that source inhomogeneities are responsible in at least some cases, so that the amount of spectral steepening becomes a diagnostic for source dynamical or geometrical properties.

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1. INTRODUCTION

1.1. Spectral Breaks in Jets and Pulsar-wind Nebulae

Broadband spectra from synchrotron radiation characterize a wide variety of astrophysical sources, including active galactic nuclei (AGNs), shell supernova remnants (SNRs), and pulsar-wind nebulae (PWNe). When observed over a sufficiently broad frequency range, such spectra almost invariably show steepening to higher energies. Such steepening can be attributed either to intrinsic spectral structure or to the effects of radiative losses. However, the power-law shape of radio spectra (Sν ∝ ν−α), with α ∼ 0.5–0.8 for many sources, suggests an origin of the requisite relativistic electrons in diffusive shock acceleration (DSA), which produces a power-law (or near-power-law, for efficient nonlinear DSA) spectrum of particles N(E) ∝ Es with s = 2α + 1 depending on the shock compression ratio. Shocks are clearly present in these astrophysical objects: outer blast waves in SNRs (and perhaps reverse shocks into ejecta as well, for younger objects); relativistic-wind termination shocks in PWNe; and shocks in jets and hot spots in active galaxies. The absence of an obvious mechanism to generate a broken power-law distribution, and the necessity of the operation of radiative losses at some level, has led to the common acceptance of synchrotron losses as the mechanism to bring about spectral steepening.

The standard calculation of the effect of synchrotron losses (reviewed in the next section) for a homogeneous source predicts a steepening of the initial electron spectrum to a second power law one power steeper (s2 = s + 1) than the injection spectrum, implying a radiation spectrum one-half power steeper (α2 = α + 0.5). This is, in fact, rarely observed. In shell supernovae, the maximum energies to which electrons can be accelerated are limited by losses or by finite shock age (or size), but produce an exponential cutoff in N(E), further broadened by inhomogeneities, as observed in a few cases in which synchrotron X-ray emission can be identified (see Reynolds 2008 for a review), so a sharp spectral break to a steeper power law is neither expected nor observed. In PWNe, radio spectra are almost all flatter than α = 0.5, a phenomenon not well explained at present, but the steepenings Δ ≡ αhigh − αlow are almost always greater than 0.5 (ranging from 0.7 to 1, in seven of the eight cases tabulated in Chevalier 2005, using updated values for B0540-693 from Williams et al. 2008). Knots in extragalactic jets, when observable in X-rays, show similar too large steepenings (e.g., M87: Perlman & Wilson 2005; Cygnus A: Stawarz et al. 2007). One standard interpretation of knot and hot-spot spectra invokes shock acceleration and subsequent spectral steepening in a uniform post-shock region (Heavens & Meisenheimer 1987), but it cannot explain these larger values of Δ. Coleman & Bicknell (1988) present numerical hydrodynamic simulations and find larger values of Δ, which they apply to observations, but without analytic results allowing the wider application of the results. While there is recognition of the possibility of values of Δ different from 0.5 (e.g., Kennel & Coroniti 1984a, who find Δ = (4 + α)/9 for the Crab Nebula, or Petre et al. 2007, in a qualitative discussion of the broadband spectrum of the PWN B0540-693), there has, as yet, been no simple characterization of conditions under which values of Δ ≠ 0.5 can naturally arise. That characterization is the goal of this paper.

1.2. Synchrotron Losses

The first widely known calculation of the behavior of a distribution of electrons subject to synchrotron losses is that of Kardashev (1962). While most of these results are well known, it is important to recall the particular conditions under which each is applicable, so I shall beg the reader's indulgence for a brief review, which can also serve to fix notation. Kardashev solved the kinetic equation for a distribution N(E, t) of electrons subject to gains by first- and second-order Fermi acceleration, and losses due to radiation or adiabatic expansion, with and without the assumption of new-particle injection and stationarity. He writes the energy-loss rate from a single electron as

Equation (1)

where BBsin θ, b ≡ (2/3)(e4/m4ec7) = 2.37 × 10−3 cgs (e.g., Pacholczyk 1970), and θ is the electron pitch angle between its velocity vector and the magnetic field. Kardashev pointed out that in a uniform magnetic field in the absence of scattering, electrons preserve their value of θ, since they radiate a beam pattern that is symmetric with respect to their velocity vector. An electron injected into B at t = 0 with energy E0 has an energy E after time t given by the well known result

Equation (2)

An initially infinitely energetic electron is reduced after time t to energy Emax(t, θ) = 1/bB2t. A power-law energy distribution of electrons N(E0) = KEs0, with a single value of pitch angle, will be cut off at Emax(t, θ). The electron distribution N(E) will evolve according to N(E)dE = N(E0)dE0, so that

Equation (3)

with E(E0) given by Equation (2). If s < 2, the electrons initially above Emax(t) are sufficiently numerous to pile up in a "bump" just below Emax(t), while if s > 2, the "bump" disappears. (Numerical solutions to Equation (3) are shown below for inhomogeneous models, illustrating the "bump" effect.)

An initially isotropic distribution of electrons suffers unequal radiation losses, with electrons with large pitch angles being more rapidly depleted. For an initial isotropic power-law distribution, after a time t one finds no electrons with pitch angles greater than θmax given by sin2θmax = 1/(bEB2t). Since for synchrotron radiation, an individual electron's radiation pattern has an angular width of order 1/γ where γ is the individual Lorentz factor, and γ ≳ 103 for radio emission and higher frequencies, we can approximate electrons as radiating exactly in their directions of motion. Then θ is also the angle between the line of sight and the local magnetic field. An initially isotropic distribution of electrons injected at t = 0 into a source with a uniform magnetic field making an angle χ with the line of sight, observed through its synchrotron emission, would then disappear abruptly at time t(χ). More realistically, one might expect that the source has a tangled magnetic field, so that all values of χ are achieved in some part of the source. One should then (for an unresolved source) perform an angular integration over the electron distribution. The result is an electron distribution that steepens by one power of E, i.e., N(E) ∝ Es − 1, above the characteristic energy Eb = 1/(bB2t). (The synchrotron emission from this distribution steepens above ν(Eb) by more than the value of 0.5 in spectral index α because, in this time-dependent case without continuous injection, a correlation exists between E and θ such that more efficiently radiating electrons are depleted most rapidly.)

This situation is still relatively unrealistic, as it ignores any processes by which electrons could change their pitch angles. If electrons scatter in pitch angle on timescales much shorter than the synchrotron-loss timescale, one should simply average the energy-loss rate over angles:

Equation (4)

where ab〈sin2θ〉 = (2/3)b. Then the electron distribution will remain isotropic, and will simply cut off at Emax(t); a source synchrotron spectrum would then cutoff exponentially above ν(Emax(t)).

However, the result we all remember from graduate school is neither of these. A source that turns on at t = 0 with continuous, uniformly spatially distributed injection of a power-law distribution of electrons q(E) ≡ J0Es electrons erg−1 s−1 cm−3, develops a break at energy Eb = 1/(aB2t), where the electron spectrum steepens by one power in s. This corresponds to a steepening of the synchrotron spectrum by one-half power in α at νb = c1B−3t−2 with c1 = 1.12 × 1024 cgs. This relation is frequently used to deduce a magnetic field strength in a synchrotron source of known age.

The result that synchrotron losses (or inverse-Compton losses, which have the same dependence on electron energy) result in the steepening of the particle spectrum by one power and the steepening of the emitted synchrotron spectrum by a half-power, is a widely held idea. It is this application that will be generalized below. It is important to remember that the standard derivation assumes a distributed injection of electrons in a homogeneous source. For other conditions, it is not correct, as we shall see.

2. BASIC CALCULATION

Energy-loss breaks from a synchrotron source in which relativistic electrons are advected systematically away from an injection region (such as a wind-termination shock) can be described as being due to shrinking of the effective source size with frequency. At a high enough observing frequency, electrons drop below the energy required to emit at that frequency before they reach the edge of the object, hence limiting its effective size at that frequency. Thus, all results depend on the critical energy an electron may have after suffering synchrotron losses and convecting at speed v. Equation (4) gives the synchrotron-loss rate from a single electron. In a nonrelativistic, constant-density flow (i.e., neglecting adiabatic losses), but allowing the possibility of spatially varying B, we generalize the homogeneous results slightly to obtain

Equation (5)

for the energy an initially infinitely energetic electron would have after moving at v through a field B for a distance r. So any injected electron distribution must cut off at this energy. For a one-dimensional flow of electrons streaming at constant speed v in a constant magnetic field B, the effective length r(E) of the source is found from

Equation (6)

An electron of this energy radiates chiefly at frequency ν = cmE2B = cm(v2/a2B3)r−2 where cm = 1.82 × 1018 cgs (e.g., Pacholczyk 1970). Then at any frequency ν, the source has an effective length

Equation (7)

For synchrotron emission with a spectral index α, the observed flux density would then vary as

Equation (8)

—the famous steepening by one-half power in the spectral index. (Note that at no position r in the source is there a break in the electron energy distribution N(r, E) to a new power law, although such a distribution does result after integrating over the entire source volume to obtain N(E).)

This kind of argument can be generalized to inhomogeneous sources, for which the steepening may be larger or smaller than 0.5. For instance, if the synchrotron emissivity increases with distance from the center, then as the effective source size shrinks, more emission will be lost than if the source were homogeneous, and the steepening can be greater than 0.5.

Here, we consider a simple model in which electrons are injected at some initial radius r0 in a "jet" whose full width w rises with dimensionless distance lr/r0 as lepsilon: w = w0lepsilon. A conical jet (or piece of spherical outflow) then has epsilon = 1; a confined jet has epsilon < 1. Then, the cross-sectional area increases as Al2epsilon (see Figure 1). We shall assume ad hoc power-law dependences of quantities on dimensionless length l, ignoring any transverse variations, making the problem one-dimensional. Let the l-dependence of basic quantities be given by

Equation (9)

While this is completely general, physical constraints may couple the m's. For instance, in the absence of some mechanism such as mass loading (Lyutikov 2003) or entrainment to alter the effective density ρ, conservation of mass gives

Equation (10)

In the absence of turbulent amplification or reconnection, magnetic flux will be conserved, giving different relations for components of B parallel and perpendicular to the jet axis:

Equation (11)

Equation (12)

where the last form for transverse B involves invoking mass conservation. Of course, unless the magnetic field is exactly radial, any toroidal component will eventually dominate, barring extremely peculiar and probably unphysical behaviors (e.g., mρ < −3). At any rate, here our emphasis is on the greatest generality; any particular set of dynamical assumptions will then confine a model to a subregion of the parameter space of the m's.

Figure 1.

Figure 1. Schematic of flow geometry. The flow occurs in a tube whose cross-sectional width w grows as a power epsilon of (normalized) distance l from the injection radius r0 (lr/r0).

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In this formalism, Equation (5) implies $E_c \propto l^{-(1 + 2m_b - m_v)}$ in the absence of other energy-loss mechanisms such as adiabatic expansion losses (nonconstant density). In the presence of adiabatic losses, it can be shown (e.g., Kennel & Coroniti 1984a; Reynolds 1998) that the critical energy is given by

Equation (13)

Equation (14)

where we have assumed the source is long enough such that l(E) ≫ 1. Note that the effects of adiabatic losses have canceled out (except for a small change in the integration constant), leaving Ec with the same l-dependence as in the constant-density case. We have also made the assumption that the integral in Equation (13) is dominated by the upper limit at l, demanding that mc ≡ 2mbmv + mρ/3> − 1. Otherwise, $E_c \propto l^{m_\rho /3}$ and radiative losses play no role in the spectral behavior, so that the calculation is not self-consistent. Even if this condition is met, we still wish to exclude situations in which the gradients conspire to arrange adiabatic gains of electrons as they convect, i.e., mE > 0. This situation appears both unphysical and unlikely. Note that mc = mρ/3 − mE − 1. These two conditions rule out some volume in the parameter space of (epsilon, mi) and must be checked for any particular choices of those parameters. The constraints are related; mc > − 1 requires mE < mρ/3, so that we ultimately require mE < min(0, mρ/3).

Electrons with energy Ec (at position l where the magnetic field strength is B(l)) radiate chiefly at a frequency

Equation (15)

defining Aν and mν. Note mν = mb + 2mE = −2 − 3mb + 2mv. Then,

Equation (16)

We are focusing on conditions such that the source size shrinks with increasing frequency, i.e., mν < 0. It can be easily shown that the condition on mc above is equivalent to mν < (mρ + mv) − 1. If mass conservation is assumed, then mρ + mv = −2epsilon and mν < 0 always. Otherwise, this condition must be checked; but for reasonable values of the parameters (such as those in all examples described below), it is always fulfilled.

Now to discuss the synchrotron flux, we assume a power-law electron distribution N(E) = KEs between energies El and EhEl (we take s > 1). As the flow expands, conservation of electron number gives

Equation (17)

since adiabatic losses give individual-particle energies varying as E ∝ ρ1/3, at least near El, an energy we assume to be relativistic, but too low for radiative losses to be important. We have taken s enough larger than 1 such that E1−slE1−sh. Then, we can write the synchrotron emissivity (following Pacholczyk 1970) as

Equation (18)

Here cj(s) ≡ c5(s)(2c1)α in the notation of Pacholczyk; for s = 1.5, cj = 1.34 × 10−18 cgs, and we have defined another important index, mj ≡ (2α + 3)mρ/3 + (1 + α)mb. Assume for the time being that we view the jet directly perpendicular to the axis. Then the line-of-sight path length through the jet at any position l is just w(l) = w0lepsilon (through the center; averaged over lines of sight intersecting a circular cross section, we obtain a mean line-of-sight path of (π/4)w). We recall that we are assuming all jet quantities to be constant in cross section, that is, along these lines of sight. So if the source is at a distance D, the integrated flux density Sν is given by

Equation (19)

Equation (20)

Equation (21)

where the last equation defines Δ, the amount of spectral steepening:

Equation (22)

We have assumed that mν < 0, and that the flux integral depends on the outer, not the inner, limit of integration, that is,

Equation (23)

This latter condition can be restrictive.

While we have assumed a jet seen from the side, since the emission is optically thin the observed flux density should be independent of viewing angle. This can be shown explicitly for the case of jets seen exactly end-on, for which the flux integral Equation (19) becomes

Equation (24)

Here, the line of sight is parallel to the jet axis, beginning at a value of lli dependent on w (if w < w0, li = 1). The upper limit wmax is just the value of w at which li = lν, i.e., wmax = w(l(ν)) ≡ w0[l(ν)]epsilon. Now we need a slightly more restrictive condition for the emission to be dominated by the outer limit of integration l(ν): 1 + mj > 0. If this is the case, the two integrals in Equation (24) decouple, giving

Equation (25)

But wmax = w0[l(ν)]epsilon, so

Equation (26)

the same as Equation (21) except for a factor (1 + mj)/(1 + 2epsilon + mj).

These power-law spectra can hold only over a frequency range related to the size range of the source by l(ν). For instance, for conical, constant-velocity, mass-conserving flow with tangential magnetic field, we have epsilon = 1, mρ = −2, and mb = −1, giving l(ν) ∝ ν−1. Thus, a source showing the corresponding value of Δ (in this case, Δ = 7α/3) between frequencies ν1 and ν2 must shrink over a range of sizes given by r1/r2 = ν21. In general, sources whose spectra are set by effective variations of size with frequency are predicted to have sizes varying as

Equation (27)

Equation (22) relates the size exponent 1/|mν| to Δ: 1/|mν| = Δ/(1 + 2epsilon + mj). (Thus, a source with observed Δ will have a smaller rate of shrinkage with frequency for a larger value of 1 + 2epsilon + mj.) The source subtends a solid angle on the sky of

Equation (28)

If the source is only marginally resolved, one may consider an "average" angular size 〈θ〉 defined by

Equation (29)

so that $\langle \theta \rangle \propto \nu ^{(1 + \epsilon)/2m_\nu }$. For spherical or conical flows, i.e., epsilon = 1, $\langle \theta \rangle \propto \nu ^{1/m_\nu }$ as before, but for confined flows (epsilon < 1), the average angular size decreases more slowly with frequency. If a confined jet is seen end-on, the size variation with frequency is reduced even further, as the apparent diameter is now proportional to wmax ∝ [l(ν)]epsilon instead of l(ν):

Equation (30)

This may result in a significantly reduced size effect, since the primary change in emitting volume is shrinkage along the line of sight.

3. SPECIAL CASES

We can examine a few special cases. First, in the case of a plane constant-velocity flow, we have epsilon = 0, mv = 0, mρ = 0, and mb = 0, and we recover Δ = 1/2. Next, consider tangential magnetic field and conical outflow (epsilon = 1) with constant density and assuming mass and flux conservation. This corresponds to the inner parts of a Kennel & Coroniti (1984a, 1984b, hereafter KC) MHD spherical flow. Then mρ = 0, mv = −2, mb = mρ + epsilon = 1, and we have

Equation (31)

which was derived in Kennel & Coroniti (1984b, Equation (4.11b)). This already indicates that values of Δ ≠ 0.5 can be obtained from reasonable situations. It also suggests that obtaining values very different from 0.5 may be difficult. The size effect predicted above is quite weak: mν = −2 − 3mb + 2mv = −9, so l(ν) ∝ ν−1/9, as shown in Kennel & Coroniti (1984b, Equation (4.10b)). This weak effect accounts for the very small deviation of Δ from the homogeneous value of 0.5.

Now KC models can be divided into two regions: an inner one as above, and an outer one, a constant-velocity flow with ρ ∝ r−2 (that is, mv = 0 and mρ = −2) and tangential field (mb = mρ + 1 = −1). Mass conservation is assumed (mv = −2epsilonmρ). At lower frequencies, the burnoff radius moves in through the outer region, giving

Equation (32)

However, this is not realized actually, as neither condition mE < 0 nor 1 + 2epsilon + mj > 0 is met. First, mE ≡ −(3 + 2mb + mρ) = +1, indicating that Ec rises with l. Further, the mj condition gives 3 − 2(2α + 3)/3 − 1 − α = −7α/3, so the flux is dominated by the inner parts of the nebula. At high enough frequencies or photon energies such that the burnoff radius is at the transition point and moves into the vr−2 region, we obtain the above result

Equation (33)

Here, 1 + 2epsilon + mj = 4 + α>0, so the consistency condition is met—the flux is dominated by regions near l(ν). For KC's model of the Crab, α = 0.6, so Δinner = 0.51.

It is straightforward to directly show that spherically symmetric sources obey the same scaling laws with epsilon = 1—that is, the assumptions of thin jets perpendicular to the line of sight still give the correct scaling for spheres. Let the dimensionless radius be Rr/r0, with injection at R = 1 and burnoff at

Equation (34)

—that is, the same expression as for l(ν). (Sphericity should not change the expression, only, perhaps, the values of the m's.) Similarly, we should have the same dependence of jν(R) in the spherical case as we had for jν(l) in the jet case:

Equation (35)

with

Equation (36)

Then the total flux from this spherically symmetric, optically thin source is just

Equation (37)

which gives

Equation (38)

This is the same result as can be obtained by setting epsilon = 1 in the previous expression for Δ, Equation (22).

4. BREAKS GREATER THAN 0.5

Obtaining values of Δ considerably greater than 0.5, as seems to be required by observations of most PWNe, requires relaxing some of the assumptions. The relation from mass conservation of mρ = −2epsilonmv might not hold if some form of mass loading occurs, for instance, by evaporation of material from thermal filaments, or entrainment of material from a confining medium. Flux freezing for the magnetic field will not hold in the presence of either turbulent amplification of magnetic field or of reconnection. As an example, consider (for algebraic simplicity) the case α = 0, but conical, constant-density flow (so mv = −2), still conserving mass. Now in this case, mj = mb and mE = −(3 + 2mb), so

Equation (39)

Now we can obtain Δ = 2/3 with the value mb = −1 in this case: the magnetic field drops as the first power of distance (faster than if frozen-in and tangential, slower than if longitudinal). This does not seem like an unreasonable possibility. Note that the conditions are met: 1 + 2epsilon + mj = 3 + mb = 2>0, mE = −1 < 0, and mc ≡ 2mbmv + mρ/3 = 0> − 1. The source size would obey

Equation (40)

To obtain weaker size effects, one is driven to larger values of 1 + 2epsilon + mj, for the same observed Δ.

For practical use, it is convenient to consider mb a dependent variable, in terms of the other quantities. First, solve the equation for Δ for mb, in terms of Δ, mρ, epsilon, and α, with no presumed relation between mb and mρ. The result is

Equation (41)

Two of the conditions are satisfied if mE < min(0, mρ/3), or

Equation (42)

Assuming mass conservation, this becomes

Equation (43)

In addition, we still require 1 + 2epsilon + mj > 0.

An application to a particular source (i.e., an object of known α and Δ, presumably) can then be made by inserting those values. Various possibilities for epsilon and mρ can be tried; for each value of mb obtained in this way, the condition on mE must be checked by hand. For example, consider B0540-693, with a radio spectrum of α = 0.25 (Manchester et al. 1993), and a break with Δ ∼ 1 at around 20 μm (Williams et al. 2008). A constant-density spherical (or conical) outflow cannot produce this Δ. Inserting the values of α and Δ into Equation (41), and assuming for simplicity epsilon = 1, we find

Equation (44)

Then at the price of abandoning mass conservation, we can choose mρ = 1 and mv = −2, giving mb = −1.06, or about −1. The consistency conditions are all met: mc = 1/3> − 1, mE ≡ −(1 + 2mbmv) = −1 < 0, and 1 + 2epsilon + mj = 2.9>0. The source effective radius decreases as

Equation (45)

which may be a serious problem, since we need the slope of −α − Δ ≅ −1.2 to hold from about 20 μm to somewhere in the blue or near UV—say 0.2 μm, requiring that the source shrink between these two wavelengths by a factor of 4.6—perhaps unlikely. (Though what is shrinking is really the region containing the dominant flux; there could be a faint halo contributing a small amount of flux in which a brighter, shrinking core is embedded). A numerical calculation of this model is shown in Figure 2, along with observations. The physics which could cause these values of mρ and mb is, of course, completely unknown.

Figure 2.

Figure 2. Left: electron distribution N(E, l) at five positions in the flow model for the PWN B0540-693: from right to left, lr/r0 = 10, 30, 50, 70, and 90. Right: model spectral-energy distribution and observations for B0540-693, reproduced from Williams et al. 2008. Radio: Manchester et al. 1993; IR: Williams et al. 2008; Optical: Serafimovich et al. 2004; and X-ray: Kaaret et al. 2001.

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Figures 3 and 4 plot mb versus Δ for Equation (39) and its generalizations to the pairs (α, epsilon) = (0.3, 1), (0, 0.5), and (0.3, 0.5), respectively. Mass conservation is still invoked. The consistency condition on mc places upper limits on Δ (lower limits on mb) shown as the squares on curves on each plot. (The condition 1 + 2epsilon + mj > 0 is met for all curves shown.) It is difficult to obtain values of Δ>0.7; flows with rapidly dropping density (such as mρ = −2epsilon, for constant-velocity, mass-conserving flows) seem unable to do so. Substantial deceleration seems to be required, as well as rapid decreases in the magnetic field strength. While there is some parameter space available for accomplishing this, especially for sources with very flat radio spectra, the most physically reasonable way to bring about the required deceleration seems to be mass loading, which also considerably expands the available parameter space of source gradients.

Figure 3.

Figure 3. Left: magnetic field index vs. Δ for α = 0, epsilon = 1, for several values of mρ. Mass conservation is assumed. Right: same, for α = 0.3. Only values of Δ less than the square symbols on each curve satisfy the consistency requirement.

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Figure 4.

Figure 4. As in Figure 3: left, for α = 0 and epsilon = 0.5; right, for α = 0.3 and epsilon = 0.5.

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5. INFERRING PHYSICAL PARAMETERS

Energy-loss spectral breaks are commonly used to infer source magnetic field strengths in PWNe. One requires a source age t; for PWNe in SNR shells, one can use modeling of the shell emission to estimate an age, while in some cases, a source size divided by a mean flow speed (estimated one way or another) can give an age estimate. Then one simply assumes a homogeneous source for which Ec = (aB2t)−1 = 637/B2t and from Equation (5),

Equation (46)

(where we have averaged over pitch angles). It is of interest to compare this to the magnetic field that would be inferred for a flow model assuming (incorrectly) that the source is homogeneous. Let the source have a size L and break frequency νb (so that L = r0lb)). For a flow model, we can deduce the initial magnetic field B0 from Equation (15):

Equation (47)

where f ≡ 1 + 2mbmv + mρ/3. This implies

Equation (48)

Then

Equation (49)

Of course, with substantial magnetic field gradients, Bh/B0 can range widely either below or above 1. Some source properties, such as the initial ratio of energy input in magnetic field to that in particles (KC's σ parameter), require knowledge of B0. For those properties, estimation of source magnetic field from the homogeneous assumption can lead to significant error. However, it is possible to show that Bh does give a good approximation to the mean magnetic field averaged over the lifetime of a particle moving with the flow, as of course it must. The total magnetic field energy in a flow model is

Equation (50)

Equation (51)

where we have assumed 1 + 2epsilon + 2mb > 0 and Lr0. The total volume in the flow is

Equation (52)

Then the mean magnetic energy density 〈uB〉 is

Equation (53)

and the homogeneous energy density uB(hom) ≡ B2h/8π satisfies

Equation (54)

where the exponent of L/r0 has been rewritten using mν = 2mv − 2 − 3mb.

If the value of t used in the homogeneous relation Equation (46) is the actual transit time ttrans of an electron from r0 to L, one obtains a similar result. That ttrans is given by

Equation (55)

Then

Equation (56)

independent of physical parameters. (We are assuming mv ⩽ 0, i.e., we exclude accelerating flows.) This means that all factors in Equation (54) are of order unity, so that there is no large discrepancy between the true mean magnetic field energy density and that inferred under the assumption that the source is homogeneous. However, if the source lifetime is used for t (which may differ substantially from ttrans), or an estimate of ttrans is made from the measured expansion velocity of the outer boundary of the PWN, serious errors may be made in inferring B.

6. NUMERICAL CALCULATIONS AND APPLICATIONS TO OBSERVED SOURCES

These results can easily be confirmed by numerical integration of the appropriate equations. In particular, Equation (3) can be used to find the detailed particle distribution, accounting for the pileup of particles at energies just below Emax(t) as they migrate down in energy (for s < 2). This pileup can produce a detectable "bump" in the spectrum just below νb. The numerical calculations can also show how sharp a break can be achieved in practice. (Similar results were presented in Reynolds 2003.)

I illustrate these effects with several models. The example parameters for B0540-693 mentioned above (α = 0.25, epsilon = 1, mρ = 1, mb = −1, and mv = −2) produce distribution functions N(E, l) at various points in the flow shown in Figure 2, at positions lr/r0 = 10, 30, 50, 70, and 90. (The energies are in units of a fiducial energy EfaB20r0/v0, the energy an initially infinitely energetic electron would have after radiating for a time r0/v0 in a magnetic field B0.) The sharp cutoff energy Ec, decreasing down the flow, is apparent, as is the spike just below it of electrons formerly above Ec. The rising density produces adiabatic gains in the density of electrons of too low energy to be subject to radiative losses. Spatial integration over these electron distributions produces the model spectral-energy distribution also shown in Figure 2, reproduced from Williams et al. (2008), which fits the data surprisingly well, apart from the anomalous X-ray flux. (A technical problem, "pileup" in the Chandra detectors due to the bright X-ray pulsar in B0540-693, makes the absolute determination of the X-ray flux of the nebula difficult; see Petre et al. 2007.) For the relatively steep low-frequency spectrum of B0540-693 (α = 0.25), the "bump" from integrating over the spikes of Figure 2 is barely noticeable, but it is much more obvious for a flatter input spectrum. The model assumes a source radius L ∼ 1.3 pc (Williams et al. 2008), but r0 is a free parameter. If r0 is the pulsar wind termination shock, we might expect v0 = c/3 (Kennel & Coroniti 1984a). The break frequency (Equation (15)) constrains the remaining combination r20B30. The model of Figure 2 takes r0 = L/100 and B0 = 2.4 × 10−3 G. The radio flux (Equation (21)) then sets the combination w20K0; the model takes w0 = r0/10 and K0 = 2.1 × 10−8 cm−3 erg0.5. The break frequency calculated from Equation (15) is about 6 × 1012 Hz, about a factor of 5 lower than the intersection of the extrapolations from low and high frequencies. This is due to the approximation that electrons radiate entirely at their peak frequency νm, an approximation not made in the numerical calculations; in general, break frequency predictions will be low by a factor of several, depending somewhat on the value of s.

Chevalier (2005) summarizes spectral indices for several PWNe, including Kes 75 (α = 0 ⇒ s = 0, Δ = 1) and MSH 15–52 (α = 0.2 ⇒ s = 1.4, Δ = 0.85). Such large values of Δ typically require relaxing either mass or flux conservation, or both. For Kes 75, the values epsilon = 1, mρ = 1, mv = −2, and mb = −1 (the same as for the B0540-693 model, except α = 0) predict Δ = 1.0. The consistency condition 1 + 2mbmv > max(0, − mρ/3) is met. Figure 5(left) illustrates the integrated spectrum. The "bump" is quite prominent; the flux at the peak around 1013.5 Hz is 4.4 times that at 1 GHz. The slope above the break is 0.96 between 0.4 and 4 keV, close to the analytic value of 1.0. Equation (27) gives the frequency dependence of the source size as lmax ∝ ν−1/3, sufficiently slow that it might be hard to detect. For MSH 15–52, Figure 5 (right) shows a calculation for s = 1.4, epsilon = 1, mρ = 1, mv = −2.22, and mb = −1, predicting Δ = 0.85. The consistency condition is again met. The "bump" is still perceptible. The predicted value of Δ is reproduced exactly. The size effect is even slighter: lmax ∝ ν−0.29. A factor of 11 frequency range would be required to see the source shrink by a factor of 2. For an actual well-resolved source, the "size" would need to be measured with some relatively coarse quantity such as the 50% enclosed power radius or FWHM, as cited for the Crab by Kennel & Coroniti (1984b).

Figure 5.

Figure 5. Left: integrated spectrum for Kes 75 model. Right: same for MSH 15–52. Flux scales are arbitrary.

Standard image High-resolution image

For an AGN jet example, Stawarz et al. (2007) quote hot spots A and D in Cygnus A as having break frequencies around 3 GHz, with low-frequency spectral indices α1 = 0.28 and 0.21, respectively, steepening with Δ ≅ 0.9 in both cases. If we assume these hot spots result from post-shock emission in a shocked relativistic flow, and approximating the flow as nonrelativistic (not an egregious approximation), we can obtain Δ = 0.9 with s = 1.6 for hot spot A, and mρ = 1 (entraining material; again, without such assumptions, large values of Δ are problematic), mv = −1 (decelerating flow), and epsilon = 0.5 (confined flow, as suggested by mass entrainment). Inserting these values in Equation (41) gives mb = −0.29 or about −0.3. These values satisfy all consistency conditions, and give a size effect of θ ∝ ν−0.32. The available data have a range of angular resolutions, but at least qualitatively, hot-spot sizes do decrease between 5 and 230 GHz (Wright & Birkinshaw 2004).

7. SUMMARY OF RESULTS

Here, I collect the principal results and consistency requirements. The basic result is the expression for α2 − α1 ≡ Δ, the amount of spectral steepening, Equation (22):

Equation (57)

This expression holds if several consistency requirements are met: mE < min(0, mρ/3), where mE ≡ −1 − 2mb + mv, so that the burnoff energy at position l depends on l, and Ec drops with l; and 1 + 2epsilon + (2α + 3)mρ/3 + (1 + α)mb > 0, so that the integrated flux density Sν depends on the outer limit of integration. Finally, the effective source size should shrink with frequency: mν < 0, a condition always met in the presence of mass conservation, and almost always met for reasonable parameters otherwise. If the conditions are met, the source size (some measure of the region from which the bulk of the emission originates) decreases with frequency as

Equation (58)

if seen more or less from the side; if the flow is nearly along the line of sight, the expression becomes

Equation (59)

(which is the same for spherical or conical flows where epsilon = 1).

8. CONCLUSIONS

My basic conclusion is just that synchrotron-loss spectral breaks differing from 0.5 can be produced naturally in inhomogeneous sources. I have treated the inhomogeneities resulting from flows, which seem most natural, using simple power-law parameterizations, but more complex functional dependencies can be treated the same way. Other types of inhomogeneities may be possible as well. These results are most straightforwardly applied to PWNe or knots in extragalactic jets, but may have applications wherever bulk flows of relativistic material are involved. In particular, energy-loss breaks seen in gamma-ray burst afterglows (e.g., Sari et al. 1998; Galama et al. 1998; and much later work) may provide opportunities for the application of these results. For nearby sources, the simplest test of the models is the detection of the size effect; every model predicts both a particular Δ and some rate of decrease of size with frequency (really of volume, since the size decrease may take place along the line of sight). For the same Δ, some variation in the strength of the size effect is possible.

Fortunately, assuming that an inhomogeneous source is actually homogeneous does not drastically alter the inferred mean magnetic field (averaged over the history of a fluid element); but since there are by assumption large gradients of most quantities, local values of the magnetic field strength, such as those at the injection radius, may depart substantially from the mean values. This may affect inferences of the KC magnetization parameter σ. Furthermore, the inference requires knowledge of the actual flow time across the source—knowledge that may be hard to come by in the presence of large velocity gradients.

I gratefully acknowledge the hospitality of the Arcetri Observatory of the University of Florence, where this work was begun. This work was also supported by NASA through Spitzer Guest Observer grants RSA 1264893 and RSA 1276758.

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10.1088/0004-637X/703/1/662