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1Cosmic-ray accelerators

1.1Maximum energy: the Hillas criterion

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.

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 .

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, rgr_\mathrm{g}, of a particle of four-velocity (γ,γβ)(\gamma, \gamma\vec{\beta}) derives from the equation of motion ddt(γmv)=Zev×B\frac{\dd}{\dd t}\big(\gamma m \vec{v} \big) = Ze \vec{v}\times \vec{B}, where mm and ZZ are the mass and charge of the particle. As the magnetic field does no work, γm\gamma m is constant so that the particle moves along an helicoidal trajectory characterized by γmv2rg=ZeBv\gamma m \frac{v_\perp^2}{r_\mathrm{g}} = Z e B v_\perp, where p=γmvp_\perp = \gamma m v_\perp is the momentum in the plane perpendicular to the BB field. Thus

rg=pZeB=RBc=1.1pc×(R1015V)×(B1μG)1,\begin{align} r_\mathrm{g} &= \frac{p_\perp}{Z e B}\\ &= \frac{R}{Bc}\\ &= 1.1\,\mathrm{pc} \times \Big(\frac{R}{10^{15}\,\mathrm{V}}\Big) \times \Big(\frac{B}{1\,\mu\mathrm{G}}\Big)^{-1}, \end{align}

where R=pcZeEZeR = \frac{p_\perp c}{Z e} \approx \frac{E}{Z e} is the magnetic rigidity in volts.

The Hillas criterion states that accelerating a particle up to a given rigidity RR within a region of size LL is only possible if rg<rr_\mathrm{g}<r, which imposes R<rBcR < r B c. Accounting for relativistic bulk motion of the emitting region (Γ,Γβ)(\Gamma, \Gamma\vec{\beta}), the relativistic Hillas criterion on the observed rigidity reads

Robs<ΓβrBc <0.9×1015V×(r1pc)(B1μG)(Γβ1), or<3×1018V×(r1pc)(B1mG)(Γβ3)\begin{align} R_\mathrm{obs} < \Gamma \beta r' B' c\\\ &< 0.9 \times 10^{15}\,\mathrm{V} \times \Big(\frac{r'}{1\,\,\mathrm{pc}}\Big) \Big(\frac{B}{1\,\mu\mathrm{G}}\Big) \Big(\frac{\Gamma\beta}{1}\Big), \mathrm{\ or}\\ &< 3 \times 10^{18}\,\mathrm{V} \times \Big(\frac{r'}{1\,\,\mathrm{pc}}\Big) \Big(\frac{B}{1\,\mathrm{mG}}\Big)\Big(\frac{\Gamma\beta}{3}\Big) \end{align}

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\approx 4 \times 10^{15}\,\mathrm{eV} and an energy of 1017eV\approx 10^{17}\,\mathrm{eV} 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\approx 4 \times 10^{18}\,\mathrm{eV} and iron energy of 1020eV\approx 10^{20}\,\mathrm{eV}.

1.2Cosmic-ray production rate

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=c4πεCRI_\mathrm{CR} = \frac{c}{4\pi} \varepsilon_\mathrm{CR}.

A particularly useful quantity for studying the origin of Galactic cosmic rays is the energy production rate: wGCR=εGCR(>1GeV)/τescw_\mathrm{GCR} = \varepsilon_\mathrm{GCR}({>}\,1\,\mathrm{GeV})/\tau_\mathrm{esc}, where εGCR(>1GeV)1.2×106eVm36×1045Jkpc3\varepsilon_\mathrm{GCR}({>}\,1\,\mathrm{GeV})\approx 1.2 \times 10^6\,\mathrm{eV\,m}^{-3} \approx 6 \times 10^{45}\,\mathrm{J\,kpc}^{-3} was determined in exercise 1 and where τesc15\tau_\mathrm{esc} \gtrsim 15\,Myr 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=1.4t_{1/2} = 1.4\,Myr) 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=252r_\mathrm{MW} = 25\,kpc and height hMW=0.3h_\mathrm{MW} = 0.3\,kpc, 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:

srcMWLsrc(>1GeV)=wGCR×πrMW2hMW2×1033W×(τesc15Myr).\begin{align} \sum_{\mathrm{src} \in \mathrm{MW}} L_\mathrm{src}(> 1\,\mathrm{GeV}) &= w_\mathrm{GCR} \times \pi r_\mathrm{MW}^2 h_\mathrm{MW}\\ &\approx 2 \times 10^{33}\,\mathrm{W} \times \left(\frac{\tau_\mathrm{esc}}{15\,\mathrm{Myr}} \right). \end{align}

The kinetic energy of a core-collapse supernova can be estimated to

TCC=12Mejectavshock21044J×(Mejecta10M)×(vshock3×103kms1)2\begin{align} T_\mathrm{CC} &= \frac{1}{2}M_\mathrm{ejecta} v_\mathrm{shock}^2 \\ &\approx 10^{44}\,\mathrm{J} \times \Big( \frac{M_\mathrm{ejecta}}{10\,M_\odot} \Big) \times \Big( \frac{v_\mathrm{shock}}{3\times 10^3 \,\mathrm{km\,s}^{-1}} \Big)^2 \end{align}

and their explosion rate in the Milky-Way is estimated as λCC=(1.6±0.5)×102yr1\lambda_\mathrm{CC} = (1.6 \pm 0.5)\times 10^{-2}\,\mathrm{yr}^{-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\eta_\mathrm{GCR}, should satisfy the relation

ηGCR=srcMWLsrc(>1GeV)TCCλCC2%×(τesc15Myr),\begin{align} \eta_\mathrm{GCR} &= \frac{\sum_{\mathrm{src} \in \mathrm{MW}} L_\mathrm{src}(> 1\,\mathrm{GeV})}{T_\mathrm{CC}\lambda_\mathrm{CC} } \\ &\approx 2\% \times \left(\frac{\tau_\mathrm{esc}}{15\,\mathrm{Myr}} \right), \end{align}

a reasonable constraint suggesting that core-collapse supernovae may be responsible for accelerating the bulk of Galactic cosmic rays.

2Acceleration processes

2.1Astrophysical plasmas

Consider a fully ionized plasma, composed e.g. of protons and electrons. Astrophysical plasmas are usually neutral on large scales, i.e. np=ne=nn_p = n_e = n where npn_p and nen_e are the number density of protons and electrons respectively.

Neutrality on a large spatial scale, LL, means LλDL \gg \lambda_\mathrm{D}, where λD\lambda_\mathrm{D} 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, vev_e, and the plasma frequency, ωe\omega_e:

λD=veωe=kT/mee2n/ϵ0me=kTϵ0e2n27km×(kT13.6eV)1/2(n1m3)1/2\begin{align} \lambda_\mathrm{D} &= \frac{v_e}{\omega_e}\\ &= \frac{\sqrt{kT/m_e}}{\sqrt{e^2 n/\epsilon_0 m_e}}\\ &= \sqrt{\frac{kT\epsilon_0}{e^2 n}}\\ &\approx 27\,\mathrm{km} \times \left(\frac{kT}{13.6\,\mathrm{eV}}\right)^{1/2} \left(\frac{n}{1\,\mathrm{m}^3}\right)^{-1/2} \\ \end{align}

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, uBu_B, to the mass density of the medium ρ=nmp\rho = n m_p, i.e. vAuBρv_\mathrm{A} \propto \sqrt{\frac{u_B}{\rho}}. More specifically, vA=Bρμ0v_\mathrm{A} = \frac{B}{\sqrt{\rho\mu_0}} that is

vAc=Bnmpc2μ0=7×103×(B1010T)(n1m3)1/2\begin{align} \frac{v_\mathrm{A}}{c} &= \frac{B}{\sqrt{n m_pc^2\mu_0}}\\ &= 7 \times 10^{-3} \times \left(\frac{B}{10^{-10}\,\mathrm{T}}\right) \left(\frac{n}{1\,\mathrm{m}^3}\right)^{-1/2} \end{align}

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.

2.2Fermi mechanisms

Electromagnetic interaction is responsible for the acceleration of charged particles in astrophysical environments, via the Lorentz force F=q(E+v×B)\vec{F} = q(\vec{E} + \vec{v}\times\vec{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\vec{E} = \vec{0} and B0\vec{B} \neq \vec{0} can always be transformed to E0\vec{E'} \neq \vec{0} and B0\vec{B'} \neq \vec{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 FμνF_{\mu\nu}, namely FμνFμν=2[(Bc)2E2]F_{\mu\nu}F^{\mu\nu} = 2\left[ (Bc)^2-E^2 \right] and det(F)=EB\mathrm{det}(F) = \vec{E} \cdot \vec{B} (Lemoine (2019)).

The acceleration mechanism most commonly used by humans on Earth is linear acceleration, i.e. EB0\vec{E} \cdot \vec{B} \neq \vec{0} or E2>(Bc)2E^2 > (Bc)^2. These cases, for which ideal magnetohydrodynamics does not apply (ideal Ohm’s law with no resistive term: E+v×B=0\vec{E} + \vec{v}\times\vec{B} = \vec{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)2E^2 < (Bc)^2 and EB=0\vec{E} \cdot \vec{B} = \vec{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 (1949)Fermi (1954)). In both cases, acceleration results from particle scattering on magnetic-field perturbations such as Alfvén waves, which move with a characteristic velocity vAv_\mathrm{A}. A head-on / receding collision with a pertuburation leads to a gain / loss of momentum Δpp±vAc\frac{\Delta p}{p} \approx \pm \frac{v_\mathrm{A}}{c}. 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 vAc\frac{v_\mathrm{A}}{c}, 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, tacct_\mathrm{acc}, which depends on the mean free path between scattering centers, lmfpl_\mathrm{mfp}:

tacc1=dE/dtEclmfp×Δpp{clmfp×(vAc),for first order Fermi accelerationclmfp×(vAc)2,for second order Fermi acceleration\begin{align} t_\mathrm{acc}^{-1} &= \frac{\dd E/\dd t}{E}\\ &\approx \frac{c}{l_\mathrm{mfp}} \times \left\langle \frac{\Delta p}{p} \right\rangle\\ &\approx \left\{\begin{array}{lr} \frac{c}{l_\mathrm{mfp}} \times \left(\frac{v_\mathrm{A}}{c} \right), & \text{for first order Fermi acceleration}\\ \frac{c}{l_\mathrm{mfp}} \times \left(\frac{v_\mathrm{A}}{c} \right)^2, & \text{for second order Fermi acceleration} \end{array}\right. \end{align}

3Spectrum of accelerated particles

3.1The Fokker-Planck equation

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 2 (see 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.

Coordinate space diagram of momentum against spatial coordinate. Adapted from chapter 7.5 in .

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)dxdpn(x, p, t)\dd x \dd p. The 2D phase-space density, nn, is analoguous to the 6D phase-space density dN/d3xd3p\dd N/\dd^3 x\dd^3 p 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:

ntdxdp=[ϕx(x,p,t)ϕp(x+dx,p,t)]dp+[ϕp(x,p,t)ϕp(x,p+dp,t)]dx+[Qnτ]dxdp,\begin{align} \frac{\partial n}{\partial t} \dd x \dd p &= \left[ \phi_x(x,p,t) - \phi_p(x+\dd x, p, t) \right]\dd p\\ &+ \left[ \phi_p(x,p,t) - \phi_p(x, p+\dd p, t) \right]\dd x\\ &+ \left[ Q - \frac{n}{\tau} \right]\dd x \dd p, \end{align}

i.e.

nt=ϕxxϕpp+Qnτ,\begin{align} \frac{\partial n}{\partial t} &= -\frac{\partial \phi_x}{\partial x} -\frac{\partial \phi_p}{\partial p} + Q - \frac{n}{\tau}, \end{align}

where QQ 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\phi_p is the flux of particles of momentum between pp and p+dpp + \dd p through dx\dd x. Assuming, for simplicty, no momentum diffusion, it reads:

ϕp=np˙, \phi_p = n \dot p,

where p˙=ptaccptloss\dot p = \frac{p}{t_\mathrm{acc}} - \frac{p}{t_\mathrm{loss}} for Fermi acceleration at a rate tacc1t_\mathrm{acc}^{-1} and continuous energy losses, such as synchrotron losses, at a rate tloss1t_\mathrm{loss}^{-1}.

ϕx\phi_x is the flux of particles of position between xx and x+dxx + \dd x through dp\dd p:

ϕx=vadvnDnx, \phi_x = v_\mathrm{adv} n -D \frac{\partial n}{\partial x},

i.e. an advection term, with vadvv_\mathrm{adv} the advection velocity, and a diffusion term from Fick’s law with DD the diffusion coefficient. For isotropic diffusion, D=13clmfpD = \frac{1}{3} c l_\mathrm{mfp}. Writing η=lmfp/rg\eta = l_\mathrm{mfp}/r_\mathrm{g} the number of gyroradii in a mean free path:

D=13cηrg, D = \frac{1}{3} c \eta r_\mathrm{g},

where η1\eta \geq 1 as the mean free path is at least a gyroradius. The mimimum diffusion coefficient, obtained for η=1\eta=1, is referred to as the Bohm limit.

The terms of Equation (10) being defined, we get the Fokker-Planck equation describing the diffusion-loss of the particles:

nt=x(Dnx)x(vadvn)p[(1tacc1tloss)pn]nτ+Q.\begin{align} \frac{\partial n}{\partial t} &= \frac{\partial}{\partial x}\left(D \frac{\partial n}{\partial x}\right) - \frac{\partial}{\partial x}\left(v_\mathrm{adv} n\right) -\frac{\partial}{\partial p}\left[ \left(\frac{1}{t_\mathrm{acc}} - \frac{1}{t_\mathrm{loss}}\right) pn \right] - \frac{n}{\tau} + Q. \end{align}

3.2Where power laws come from

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\tau = t_\mathrm{esc}) and with particle injection in the past, then:

p(pntacc)=ntesc\frac{\partial}{\partial p}\left(\frac{pn}{t_\mathrm{acc}}\right) = - \frac{n}{t_\mathrm{esc}}

where tacct_\mathrm{acc} does not depend on pp for Fermi acceleration. This gives

n+pnp=ntacctescn + p\frac{\partial n}{\partial p} = - n\frac{t_\mathrm{acc}}{t_\mathrm{esc}}
lnnlnp=(1+tacctesc)\frac{\partial \ln n}{\partial \ln p} = -\left(1 + \frac{t_\mathrm{acc}}{t_\mathrm{esc}}\right)
n=n0(pp0)(1+tacctesc)n = n_0 \left( \frac{p}{p_0}\right)^{- \left(1 + \frac{t_\mathrm{acc}}{t_\mathrm{esc}}\right)}

That is a power-law spectrum of index s=1+tacctescs=1 + \frac{t_\mathrm{acc}}{t_\mathrm{esc}}.

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 tacctesc=3r1\frac{t_\mathrm{acc}}{t_\mathrm{esc}} = \frac{3}{|r-1|}, where r=ρ2/ρ1r=\rho_2/\rho_1 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=cPcV\gamma = \frac{c_P}{c_V}, the compression ratio is equal to r=γ+1γ1r = \frac{\gamma +1}{\gamma -1}. As γ=5/3\gamma = 5/3 for a monoatomic gaz of protons or electrons, we get r=53+1531=4r = \frac{\frac{5}{3} +1}{\frac{5}{3} -1} = 4. In such a system, the power-law spectrum has an index s=1+341=2s = 1 + \frac{3}{|4-1|} = 2, that is:

Npn(pp0)2\frac{\partial N}{\partial p} \propto n \propto \left( \frac{p}{p_0}\right)^{-2}

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.

Solution to Exercise 1
P2P1=(ρ2u22ρ1u12) , from the momentum equation=(ρ1u1×u2ρ1u12) , using the mass equation=ρ1u1(u2u1)\begin{align} P_2 - P_1 &= - (\rho_2 u_2^2 - \rho_1 u_1^2 ) \text{ , from the momentum equation}\\ &= - (\rho_1 u_1 \times u_2 - \rho_1 u_1^2 ) \text{ , using the mass equation}\\ &= - \rho_1 u_1(u_2-u_1) \end{align}
  1. As a hint, one should start by showing that
    P2ρ2P1ρ1=P2u2P1u1ρ1u1, \frac{P_2}{\rho_2} - \frac{P_1}{\rho_1} = \frac{P_2 u_2 - P_1 u_1}{\rho_1 u_1},
    which is clear when we write
    P2ρ2P1ρ1=P2ρ2×ρ2u2P1ρ1×ρ1u1ρ1u1 \frac{P_2}{\rho_2} - \frac{P_1}{\rho_1} = \frac{\frac{P_2}{\rho_2} \times \rho_2 u_2 - \frac{P_1}{\rho_1} \times \rho_1 u_1}{\rho_1 u_1}

Then

P2ρ2P1ρ1=P2u2P1u1ρ1u1=[P1ρ1u1(u2u1)]u2P1u1ρ1u1 , using the equation demonstrated in question 1=u2u1ρ1u1(P1ρ1u1u2)=(u2u1)(P1ρ1u1u2)\begin{align} \frac{P_2}{\rho_2} - \frac{P_1}{\rho_1} &= \frac{P_2 u_2 - P_1 u_1}{\rho_1 u_1}\\ &= \frac{\left[P_1 - \rho_1 u_1(u_2-u_1)\right] u_2 - P_1 u_1}{\rho_1 u_1} \text{ , using the equation demonstrated in question 1}\\ &= \frac{u_2 - u_1}{\rho_1 u_1} \left( P_1 - \rho_1 u_1u_2\right)\\ &= (u_2 - u_1)\left( \frac{P_1}{\rho_1 u_1} -u_2\right) \end{align}
  1. The energy-conservation equation can be rewritten as
12(u2u1)(u2+u1)+γγ1(P2ρ2P1ρ1)=012(u2u1)(u2+u1)+γγ1(u2u1)(P1ρ1u1u2)=0u2+u1+2γγ1(P1ρ1u1u2)=0u2u1(12γγ1)+1+2γ1γP1ρ1u12=0\begin{align} \frac{1}{2}(u_2-u_1)(u_2+u_1) + \frac{\gamma}{\gamma-1}\left( \frac{P_2}{\rho_2} - \frac{P_1}{\rho_1} \right) &=0 \\ \frac{1}{2}(u_2-u_1)(u_2+u_1) + \frac{\gamma}{\gamma-1} (u_2 - u_1)\left( \frac{P_1}{\rho_1 u_1} -u_2\right) &=0 \\ u_2+u_1 + \frac{2\gamma}{\gamma-1}\left( \frac{P_1}{\rho_1 u_1} -u_2\right) &=0 \\ \frac{u_2}{u_1}\left(1 - \frac{2\gamma}{\gamma-1}\right) + 1 + \frac{2}{\gamma-1} \frac{\gamma P_1}{\rho_1 u_1^2} &=0 \\ \end{align}

That is

u2u1=γ1γ+1+2γ+1γP1ρ1u12\frac{u_2}{u_1} = \frac{\gamma-1}{\gamma+1} + \frac{2}{\gamma+1}\frac{\gamma P_1}{\rho_1 u_1^2}
  1. The Mach number of the shock is such as M2=ρ1vsh2/γP1=ρ1u12/γP11M^2 = \rho_1 v_\mathrm{sh}^2 / \gamma P_1 = \rho_1 u_1^2 / \gamma P_1 \gg 1, thus
u2u1γ1γ+1=1/4\frac{u_2}{u_1} \approx \frac{\gamma-1}{\gamma+1} = 1/4

and

ρ2ρ1γ+1γ1=4\frac{\rho_2}{\rho_1} \approx \frac{\gamma+1}{\gamma-1} = 4
References
  1. Becker Tjus, J., & Merten, L. (2020). Closing in on the origin of Galactic cosmic rays using multimessenger information. \physrep, 872, 1–98. 10.1016/j.physrep.2020.05.002
  2. Lipari, P. (2014). The lifetime of cosmic rays in the Milky Way. arXiv E-Prints, arXiv:1407.5223. 10.48550/arXiv.1407.5223
  3. Rozwadowska, K., Vissani, F., & Cappellaro, E. (2021). On the rate of core collapse supernovae in the milky way. \na, 83, 101498. 10.1016/j.newast.2020.101498
  4. Longair, M. S. (2011). High Energy Astrophysics.
  5. Spitzer, L. (1962). Physics of Fully Ionized Gases.