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This presentation explores the mechanism of diffusive shock acceleration (DSA) of cosmic rays in astrophysical plasmas. Key topics covered include interactions between particles and turbulent magnetic fields, numerical methods for particle acceleration simulations, injection mechanisms, and different shock acceleration mechanisms. Recent progresses in DSA theory, including injection and drift acceleration at shocks, are discussed along with comparisons with observations. Various numerical simulation methods, such as full plasma simulations and Monte Carlo simulations, are highlighted for their efficiency and accuracy in studying cosmic ray acceleration. The presentation also delves into the geometry and behavior of different shock types, parallel versus perpendicular shocks, and the diffusion-convection equation for isotropic particles. Overall, the focus is on understanding the complex process of cosmic ray acceleration through diffusive shock mechanisms.
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Diffusive Shock Acceleration of Cosmic Rays Hyesung Kang, Pusan National University, KOREA T. W. Jones, University of Minnesota, USA KAW4@KASI.Daejeon.Korea
- Astrophysical plasmas are ionized, magnetized, often shock heated, tenuous gas. • - CRs & turbulent B fields are ubiquitous in astrophysical plasmas. • - It is important to understand the interactions btw charged particles and turbulent B fields to understand the CR acceleration. • - Diffusive shock acceleration provides a natural explanation for CRs. • Recent Progresses in DSA theory: • 1) injection and drift acceleration at perpendicular shocks • 2) comparison with DSA theory with observation of SNRs • 3) DSA simulation of 1D spherical SNRs KAW4@KASI.Daejeon.Korea
Interactions between particles and fields scattering of particles in turbulent magnetic fields isotropization in local fluid frame transport can be treated as diffusion process downstream upstream streaming CRs - drive large-amplitude Alfven waves - amplify B field( Lucek & Bell 2000) KAW4@KASI.Daejeon.Korea
Numerical Methods for the Particle Acceleration • Full plasma simulations: follow the individual particles and B fields, • provide most complete picture, but computationally too expensive • Monte Carlo Simulations with a scattering model: • reproduces observed particle spectrum (Ellison, Baring 90s) • applicable only for a steady-state shock • Two-Fluid Simulations: solve for ECR + gasdynamics • computationally cheap and efficient, but strong dependence on closure • parameters ( ) and injection rate (Drury, Dorfi, KJ 90s) • - Kinetic Simulations : solve for f(p) + gasdynamics • Berezkho et al. code: 1D spherical geometry, piston driven shock , • applied to SNRs, renormalization of space variables with diffusion length • i.e. : momentum dependent grid spacing • Kang & Jones code: 1D plane-parallel and spherical geometry, • AMR technique, self-consistent thermal leakage injection model • coarse-grained finite momentum volume method KAW4@KASI.Daejeon.Korea
Injection coefficient • Complex microphysics: particles waves in B field • Following individual particle trajectories and evolution of fields are impractical. • diffusion approximation (isotropy in local fluid frame is required) • Diffusion-convection equation for f(p) = isotropic partin Kinetic simulations shock B n QBn x Geometry of an oblique shock KAW4@KASI.Daejeon.Korea
Parallel (QBn=0) vs. Perpendicular (QBn=90) shock Slide from Jokipii (2004): KAW3 Injection is efficient at parallel shocks, while it is difficult in perpendicular shocks KAW4@KASI.Daejeon.Korea
Three Shock Acceleration mechanisms work together. • First-order Fermi mechanism: scattering across the shock dominant at quasi-parallel shocks (QBn< 45) • Shock Drift Acceleration: drift along the shock surface dominant at quasi-perpendicular shocks (QBn> 45) • Second-order Fermi mechanism: Stochastic process, turbulent acceleration add momentum diffusion term KAW4@KASI.Daejeon.Korea
DiffusiveShockAcceleration in quasi-parallel shocks Alfven waves in a converging flow act as converging mirrors particles are scattered by waves cross the shock many times “Fermi first order process” Shock front mean field B particle energy gain at each crossing U2 U1 upstream downstream shock rest frame Converging mirrors KAW4@KASI.Daejeon.Korea
Parallel diffusion coefficient • For completely random field (scattering within one gyroradius, h=1) • “Bohm diffusion coefficient” minimum value • particles diffuse on diffusion length scaleldiff = k||(p)/ Us • so they cross the shock on diffusion timetdiff = ldiff / Us= k||(p) / Us2 • smallest k means shortest crossing time and fastest acceleration. • Bohm diffusion with large B and large Us leads to fast acceleration. • highest Emax for given shock size and age for parallel shocks KAW4@KASI.Daejeon.Korea
Thermal leakage injection at quasi-parallel shocks: due to small anisotropy in velocity distribution in local fluid frame, suprathermal particles in non-Maxwellian tail leak upstream of shock hot thermalized plasma unshocked gas Bw compressedwaves B0 uniform field • CRs streaming upstream • generate MHD waves • (Bell & Lucek) • compressed and amplified • in downstream: Bw • Bohm diffusion is valid self-generated wave leaking particles Suprathermal particles leak out of thermal pool into CR population. KAW4@KASI.Daejeon.Korea
y x Drift Acceleration in perpendicular shocks with weak turbulences B Particle trajectory in weakly turbulent fields • Energy gain comes mainly from drifting in the convection electric field along the shock surface (Jokipii, 1982), i.e.De = |q E L|, • “Drift acceleration” • but particles are advected downstream with field lines, so injection is difficult: • (Baring et al. 1994, Ellison et al. 1995, Giacalone & Ellison 2000) KAW4@KASI.Daejeon.Korea
DiffusiveShockAcceleration at oblique shocks Giacalone & Jolipii 1999 • Turbulent B field with Kolmogorov spectrum • smaller kxx at perpendicular shocks • shorter acceleration time scale • higher Emaxthan parallel shocks Monte Carlo Simulation by Meli & Biermann (2006) KAW4@KASI.Daejeon.Korea
Test-Particle simulation at oblique shocks : Giacalone (2005a) (DB/B)2=1 dJ/dE = f(p)p2 stronger turbulence more efficient injection Injection energy weakly depends on QBn for fully turbulent fields. ~ 10 % reduction at perpendicular shocks KAW4@KASI.Daejeon.Korea
Test-Particle simulation at oblique shocks : Giacalone (2005a) (DB/B)2=1 dJ/dE = f(p)p2 weak fluctuations The perpendicular shock accelerates particles to higher energies compared to the parallel shock at the same simulation time . Injection is less efficient, but acceleration is faster at perpendicular shocks for weakly turbulent fields. KAW4@KASI.Daejeon.Korea
Hybrid plasma simulations of perpendicular shock : Giacalone (2005b) • - acceleration of thermal protons by perpendicular shocks : thermal leakage • - Field line meandering due to large scale turbulent B fields increased cross-field transport efficient injection at shock • thermal particles can beefficiently accelerated to highenergies by a perpendicularshock • injection problem for perpendicular shocks: solved ! Particles are injected where field lines cross the shock surface efficient injection density of particleswith energies E >10Ep dotted lines: field lines KAW4@KASI.Daejeon.Korea
Parallel vs. Perpendicular Shocks for Type Ia SNRs : ion injection Ion injection only for quasi-parallel shocks (polar cap regions only) spherical flux from paralleshock shock calculations should be reduced by fre ~0.2 KAW4@KASI.Daejeon.Korea
Determination of B amplification factor, ion injection rate, proton-to-electron number ratio with SNR observations: Comparison with kinetic simulation (Berezhko & Voelk) x Slide from Voelk (2006) KAW4@KASI.Daejeon.Korea
Recent Observations of SNRs in X-ray and radio: (Voelk et al. 2005) • Cas A, SN 1006, Tyco, RCW86, Kepler, RXJ1737, … • - thin shell of X-ray emission (strong synchrotron cooling) • B field amplification through streaming of CR nuclear component into upstream plasma (Bell 2004) is required to fit the observations Observational proof for dominance of hadronic CRs at SNRs • Dipolar radiation: consistent with uniform B field configuration • Ion injection rate : x~10-4 - Proton/electron ratio: Kp/e ~ 50-100 • ~50% of SN explosion energy is transferred to CRs. • Consistent picture of DSA at SNRs KAW4@KASI.Daejeon.Korea
CRs observed at Earth: • N(E): power-law spectrum • “universal” acceleration • mechanism working on • a wide range of scales • DSA in the test particle limit predicts a universal power-law E-2.7 f(p) ~ p-q N(E) ~ E-q+2 q = 3r/(r-1) r = r2/r1=u1/u2 E-3.1 this explains the universal power-law, independent of shock parameters ! KAW4@KASI.Daejeon.Korea
CR acceleration efficiency F vs. Ms for plane-parallel shocks Kang & Jones 2005 u0=(15km/s)M0 1) The CR acceleration efficiency is determined mainly by Ms 2) It increases with Ms (shock Mach no.) but it asymptotes to a limiting value of F ~ 0.5 for Ms > 30. 3) thermal leakage process: a fraction of x= 10-4 - 10-3 of the incoming particles become CRs (at quasi-parallel shocks). u0=(150km/s)M0 Effects of upstream CRs for low Ms shocks KAW4@KASI.Daejeon.Korea
U1 generate waves Diffusion-Convection Equation with Alfven wave drift + heating • - Streaming CRs generate waves upstream • - Waves drift upstream with • Waves dissipate energy and heat the gas. • CRs are scattered and isotropized in the wave frame rather than the gas frame • instead of u • smaller vel jump and less efficient acceleration streaming CRs upstream KAW4@KASI.Daejeon.Korea
- CRASH code in 1D plane-parallel geometry • = Adaptive Mesh Refinement (AMR) + shock tracking technique • in the shock rest frame (thru Galilean velocity transformation) • (Kang et al. 2001) • new CRASH code in 1D spherical geometry • = Adaptive Mesh Refinement (AMR) + shock tracking technique • in a comoving frame which expands with the shock • The shock stays in the same location (zone). just like Hubble expansion Rs = xs a Rs KAW4@KASI.Daejeon.Korea
Wave drift + heating terms Basic Equations for 1D spherical shocks in the Comoving Frame KAW4@KASI.Daejeon.Korea
SNR simulations with 1D spherical CRASH code KAW4@KASI.Daejeon.Korea
Strong nonlinear modification. KAW4@KASI.Daejeon.Korea
moderate nonlinear modification KAW4@KASI.Daejeon.Korea
= total CR number / particle no. passed though shock KAW4@KASI.Daejeon.Korea
N p : power-law like G p : non-linear concave curvature q ~ 2.2 near pinj q ~ 1.6 near pmax Our results are consistent with the calculations by Berezhko et al. KAW4@KASI.Daejeon.Korea
Summary - CRs & turbulent B fields are natural byproducts of the collisionless shock formation process: they are ubiquitous in cosmic plasmas . - DSA produces a nearly universal power-law spectrum with the correct slopes. - With turbulent fields, thermal leakage injection works well even at perpendicular shocks as well as parallel shocks - , so perpendicular shocks are faster accelerators - About 50 % of shock kinetic E can be transferred to CRs for strong shocks with Ms > 30. - thermal leakage process: a fraction of x = 10-4 - 10-3 of the incoming particles become CRs at shocks. - Observations of SNRs support the dominance of CR ions (through amplified B field) and x = 10-4 - 10-3 and Kp/e ~ 100. KAW4@KASI.Daejeon.Korea
Test-Particle simulations at oblique shocks : Giacalone (2005a) KAW4@KASI.Daejeon.Korea
Numerical Tool:CRASH (Cosmic Ray Amr SHock ) Code Bohm type diffusion: for p >>1 - wide range of diffusion length scales to be resolved: from thermal injection scale to outer scales for the highest p 1) Shock Tracking Method (Le Veque & Shyue 1995) - tracks the subshock as an exact discontinuity 2) Adaptive Mesh Refinement (Berger & Le Veque 1997) - refines region around the subshock with multi-level grids Kang et al. 2001 Nrf=100 KAW4@KASI.Daejeon.Korea
“CR modified shocks” • - presusor + subshock • - reduced Pg • enhanced compression t=0 -1D Plane parallel Shock DSA simulation postshock preshock Time evolution ofthe M0 = 5shock structure. At t=0, pure gasdynamic shock with Pc=0 (red lines). • No simple shock jump condition • Need numerical simulations to calculate the CR acceleration efficiency precursor Kang, Jones & Gieseler 2002 KAW4@KASI.Daejeon.Korea
Evolution of CR distribution function in DSA simulationf(p): number of particles in the momentum bin [p, p+dp], g(p) = p4 f(p) • CR feedback effects • gas cooling (Pg decrease) • thermal leakage • power-law tail • concave curve at high E initial Maxwellian thermal power-law tail (CRs) f(p) ~ p-q Particles diffuse on different ld(p) and feel different Du, so the slope depends on p. g(p) = f(p)p4 Concave curve injection momenta KAW4@KASI.Daejeon.Korea
electron acceleration mechanisms: direct electric field acceleration (DC acceleration) (Holman, 1985; Benz, 1987; Litvinenko, 2000; Zaitsev et al., 2000) stochastic acceleration via wave-particle interaction (Melrose, 1994; Miller et al., 1997) shock waves (Holman & Pesses,1983; Schlickeiser, 1984; Mann & Claßen, 1995; Mann et al., 2001) outflow from the reconnection site (termination shock) (Forbes, 1986; Tsuneta & Naito, 1998; Aurass, Vrsnak & Mann, 2002) KAW4@KASI.Daejeon.Korea
preshock postshock Thermal Leakage Injection at parallel shocks has been observed- suprathermal particle leak out of thermal pool into CR population (power-law tail) injection rate x ~ 10-4 – 10-3 thermal comparison of Monte Carlo simulations with direct measurement at Earth’s bow shock CRs KAW4@KASI.Daejeon.Korea