A necessary condition for accelerating particles up to a given maximum energy is that their astrophysical source is
large enough, or magnetised enough, to confine them for at least one radius of gyration. This relatively simple
criterion, attributed to Michael Hillas, is used to classify astrophysical accelerators in a so-called Hillas
diagram, as shown in figure 1.
Figure 1:Magnetic field in Gauss vs size in km of candidate cosmic-ray sources. The Hillas limit, which provides the minimum
magnetic field at a fixed size needed to accelerate cosmic rays to a given magnetic rigidity, is shown in blue for
protons at the knee energy and in brown for protons at the ankle energy. Adapted from Becker Tjus & Merten (2020).
The gyro-radius, rg, of a particle of four-velocity (γ,γβ) derives from the
equation of motion dtd(γmv)=Zev×B, where m and Z are
the mass and charge of the particle. As the magnetic field does no work, γm is constant so that the particle
moves along an helicoidal trajectory characterized by γmrgv⊥2=ZeBv⊥,
where p⊥=γmv⊥ is the momentum in the plane perpendicular to the B field. Thus
where R=Zep⊥c≈ZeE is the magnetic rigidity in volts.
The Hillas criterion states that accelerating a particle up to a given rigidity R within a region of size L is
only possible if rg<L, which imposes R<LBc. Accounting for relativistic bulk motion of the
emitting region (Γ,Γβ), the relativistic Hillas criterion on the observed rigidity reads
The classes of Galactic sources satisfying this condition up to the magnetic rigidity corresponding to the knee and
second knee of the cosmic-ray spectrum, i.e. a proton energy of ≈4×1015eV and an
energy of ≈1017eV for fully ionized iron are shown in figure 1.
Extragalactic sources are also shown and can be compared to the Hillas criterion up to the ankle and cut-off of the
cosmic-ray spectrum, i.e. for maximum proton energy of ≈4×1018eV and iron energy of
≈1020eV.
Cosmic-ray accelerators must not only be able to achieve a given maximum rigidity, but must also be sufficiently
luminous that their cumulative emission reproduces the observed intensity,
ICR=4πcεCR.
A particularly useful quantity for studying the origin of Galactic cosmic rays is the energy production rate:
wGCR=εGCR(>1GeV)/τesc, where εGCR(>1GeV)≈1.2×106eVm−3≈6×1045Jkpc−3 was determined in exercise 1 and where τesc≳15Myr is the residence time of cosmic rays in the Galaxy. This residence time is estimated from so called cosmic-ray clocks (see e.g. Lipari (2014)), e.g. through the ratio between 10Be (t1/2=1.4Myr) and its stable isotope 9Be, both formed by the fragmentation of carbon and oxygen nuclei confined in the Milky Way.
If we model the Milky Way as a disk with diameter 2rMW=25kpc and height hMW=0.3kpc,
then the energy production rate of Galactic cosmic rays integrated over the volume of the Milky Way yields the
cumulative luminosity of the cosmic-ray sources:
and their explosion rate in the Milky-Way is estimated as λCC=(1.6±0.5)×10−2yr−1 (Rozwadowska et al. (2021)).
If core-collapse supernovae are responsible for accelerating the majority of cosmic rays to energies greater than 1
GeV, then the efficiency of the conversion of kinetic energy into cosmic rays, ηGCR, should satisfy
the relation
a reasonable constraint suggesting that core-collapse supernovae may be responsible for accelerating the bulk of
Galactic cosmic rays at GeV energies.
This energy criterion enables us to identify supernovae as the primary sources of Galactic cosmic rays in the GeV
range. However, it does not enable us to determine whether this population of sources is predominant in the PeV
range. Alternative classes that are sub-dominant at GeV energies but may be dominant at PeV energies, such as
microquasars, are therefore being studied. Like the search for extragalactic EeVatrons, the search for Galactic PeVatrons is an active area of research.
Consider a fully ionized plasma, composed e.g. of protons and electrons. Astrophysical plasmas are usually neutral
on large scales, i.e. np=ne=n where np and ne are the number density of protons and electrons respectively.
Neutrality on a large spatial scale, L, means L≫λD, where λD is the Debye length, beyond which charge screening occurs (see Chap. 11.1 in Longair (2011)). The Debye length depends on the thermal velocity of the electrons, ve, and the plasma frequency, ωe:
This microphysics-relevant scale can be compared to the much larger astrophysical source sizes in Figure 1.
In a rarefied plasma, it is improbable for a test particle to encounter another particle. The system is said to be
colisionless, i.e. the motion of a charged particle is determined by its overall interaction with the plasma and the
magnetic fields attached to it.
A few properties of astrophysical plasmas are worth noting here (Spitzer (1962)). Firstly,
astrophysical plasmas have a high conductivity (low resistivity), which is comparable to that of metals. This high
conductivity leads to the short-circuiting of any large-scale electric field and to the phenomenon of magnetic-flux
freezing, i.e. magnetic field lines behave as if anchored into the plasma.
A second notable feature of a plasma is the speed at which disturbances propagate along the field lines. The
equivalent of the speed of sound, called the Alfvén speed, is provided by the ratio of the magnetic energy density,
uB, to the mass density of the medium ρ=nmp, i.e. vA∝ρuB. More
specifically, vA=ρμ0B that is
The diffusion of charged particles in an astrophysical plasma is determined by their resonance with magnetic-field
perturbations such as Alfvén waves and other hydromagnetic waves.
Electromagnetic interaction is responsible for the acceleration of charged particles in astrophysical environments,
via the Lorentz force F=q(E+v×B). Since the magnetic term does not work, an
effective electric field is required for acceleration. Note, however, that an electromagnetic field such that
E=0 and B=0 can always be transformed to
E′=0 and B′=0 through a change of frame. The relevant quantities for
discussing the different types of acceleration mechanisms are the Lorentz invariants of the electromagnetic tensor
Fμν, namely FμνFμν=2[(Bc)2−E2] and det(F)=E⋅B
(Lemoine (2019)).
The acceleration mechanism most commonly used by humans on Earth is linear acceleration, i.e.
E⋅B=0 or E2>(Bc)2. These cases, for which ideal magnetohydrodynamics does not
apply (ideal Ohm’s law with no resistive term: E+v×B=0), are only found in a
limited number of astrophysical environments, such as the gaps in the magnetospheres of pulsars.
The case more generally found in astrophysical environments, for which E2<(Bc)2 and E⋅B=0,
allows us to describe acceleration by shock waves, magnetic turbulence or in sheared flows. Two seminal publications
by Enrico Fermi described the concepts in the 1950s Fermi, 1949Fermi, 1954. In both
cases, acceleration results from particle scattering on magnetic-field perturbations such as Alfvén waves, which
move with a characteristic velocity vA. A head-on / receding collision with a pertuburation leads to a
gain / loss of momentum pΔp≈±cvA. In the case of an isotropic
distribution of the velocities of the scattering centers, found for example in a turbulent magnetic field, head-on
collisions are more frequent by a factor cvA, so that the rate of energy gain is favored over
the rate of loss (see chapter 7.3 in Longair (2011)). This mechanism is known as second-order Fermi
acceleration. In the case where only head-on collisions take place, for the geometry of a contracting magnetic
bottle found for example on either side of a shock front, the mechanism is said to be first-order.
The denomination of first- and second-order Fermi acceleration is more explicit when we consider the acceleration time,
tacc, which depends on the mean free path between scattering centers, lmfp:
tacc−1=EdE/dt≈lmfpc×⟨pΔp⟩≈{lmfpc×(cvA),lmfpc×(cvA)2,for first order Fermi accelerationfor second order Fermi acceleration
The equation that governs the evolution of the momentum and position of a collection of particles is a partial
differential equation known as the diffusion-loss equation. Its formal derivation uses the diagram provided in
Figure 2see also chapter 7.5 in Longair, 2011. The reasoning is limited here to
one spatial and one momentum dimension, but can easily be extended to 6D if one wishes to consider anisotropic
phenomena such as the different diffusion coefficients along and perpendicular to a magnetic-field line.
Figure 2:Coordinate space diagram of momentum against spatial coordinate. Adapted from chapter 7.5 in Longair (2011).
Consider an initial Maxwellian momentum distribution for a number of particles n(x,p,t)dxdp. The 2D
phase-space density, n, is analoguous to the 6D phase-space density dN/d3xd3p defined in
chapter Jetted and non-jetted astroparticle sources in the universe.
The rate at which the number of particles in the box changes is given by:
where Q is the source term characterizing the injection of new particles and τ is the time scale of
catastrophic energy losses, relevant e.g. to radioactive decay, spallation, or simply the escape of the particle
from the region of interest.
ϕp is the flux of particles of momentum between p and p+dp through dx. Assuming, for simplicty,
no momentum diffusion, it reads:
i.e. an advection term, with vadv the advection velocity, and a diffusion term from Fick’s law with D
the diffusion coefficient. For isotropic diffusion,
D=31clmfp. Writing η=lmfp/rg the number of gyroradii in a mean
free path:
The simplest application of the Fokker-Planck equation is highly relevant to understanding acceleration (see also
chapter 7.4 in Longair (2011) for an introduction to diffusive shock acceleration). Consider a
stationary system, with no diffusion or advection, no energy loss, for which catastrophic losses are limited to
escape (τ=tesc) and with particle injection in the past, then:
That is a power-law spectrum of index s=1+tesctacc.
The value of the index can be determined with multiple approaches, depending on the considered astrophysical
environment. In the case of shock acceleration or magnetic reconnection, one can use box models such as developped
by Drury et al. (1999)Drury (2012) and show that
tesctacc=∣r−1∣3, where r=ρ2/ρ1 is the compression ratio between
the shocked medium and the undisturbed medium.
For a shock acceleration at high Mach number and assuming a plasma described as a perfect gaz of adiabatic index
γ=cVcP, the compression ratio is equal to r=γ−1γ+1. As γ=5/3
for a monoatomic gaz of protons or electrons, we get r=35−135+1=4. In such a
system, the power-law spectrum has an index s=1+∣4−1∣3=2, that is:
The universality of this power law of index 2, whose presence is inferred in many non-thermal astrophysical systems,
is one of the great successes of diffusive shock acceleration theory.
ρ2P2−ρ1P1=ρ1u1P2u2−P1u1=ρ1u1[P1−ρ1u1(u2−u1)]u2−P1u1 , using the equation demonstrated in question 1=ρ1u1u2−u1(P1−ρ1u1u2)=(u2−u1)(ρ1u1P1−u2)
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