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Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University of Helsinki, Finland Timo Laitinen Dept of Physics, University of Turku, Finland COST Action 724 is thanked for financial support

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Page 1: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Monte-Carlo simulations of shock acceleration of solar energetic

particles in self-generated turbulence

Rami VainioDept of Physical Sciences, University of Helsinki, Finland

Timo LaitinenDept of Physics, University of Turku, Finland

COST Action 724 is thanked for financial support

Page 2: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Large Solar Particle Events

Reames & Ng 1998

Page 3: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Reames (2003)

1

0.1

0.01

Fract

ion

of

tim

e (

%)

10

0.001

GOES Proton flux 1986-1997

104 105 106 107 108

Hourly fluence (protons/cm2 sr)

104 105 106 107 104 105 106

Most of the IP proton fluence comes from large events

N ~ F -0.41

Page 4: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Streaming instability and proton transport

Outward propagating AWs amplified by outward streaming SEPs → stronger scatteringv||VA

v' =

con

st.

v

dv/dt < 0 → wave growth

dv/dt > 0 → wave damping

vv = velocity insolar-windframe

Page 5: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Particle acceleration at shocks

Particles crossing the shockmany times (because of strongscattering) get accelerated

Vsh

W1 = u1+vA1

W2

v||ΔW = W2 - W1

v' =

con

st.

v 2 >

v 1

dv/dt > 0 → particle acceleration

v = particle velocity in the ambient AW frame

v1

upstream →downstream

downstream →upstream

Vshv

Page 6: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Self-generated Alfvén waves

Alfvén-wave growth rate

Γ = ½π ωcp · pr Sp(r,pr,t)/nvA

pr = m ωcp/|k|

Sp= 4π p2 ∫dμ vμ f(r,p, μ,t) = proton streaming per unit

momentum

Efficient wave growth (at fixed r,k) during the SEP event requires

1 << ∫dt Γ(t) = ½π (ωcp/nvA) pr ∫dt Sp(r,pr,t) = ½π (ωcp/nAvA) pr

dN/dpr

→ p dN/dp >> (2/π) nAvA/ωcp = 1033 sr-1 (vA/vA) (n/2·108cm-3)½

where A = cross-sectional area of the flux tubedN/dp = momentum distr. of protons injected to the flux

tube

Vainio (2003)

sr

Page 7: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Self-generated waves (cont'd)

Threshold spectrum for wave-growth

p dN/dp|thr = 1033 sr-1 (n/2·108cm-3)½ (vA /vA(r))

lowest in corona

Apply a simple IP transport model: radial diffusion → @ 1 AU,

dJ/dE|max = 15·(MeV/E)½/cm2·sr·s·MeV

for p dN/dp = 1033 sr-1.

Thus, wave-growth unimportant

for small SEP events

at relativistic energies

Only threshold spectrum released “impulsively”, waves trap the rest → streaming limited intensities

p dN/dp [sr-1]

r [Rsun] 1 10 100

1033

1034

Vainio (2003)

solar-wind model with a maximumof vA in outer corona

most efficientwave growth

Page 8: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

r

r

p dNp/dr

r

log P(r)

r

p Sp(r)Γ(r)

t = t1

t = t2 > t1

Γ(r)p Sp(r)

Coupled evolution of particles and waves

weak scattering (Λ > LB)

weak scattering

turbulenttrapping withgradual leakage

p dNp/dr

impulsive release of escaping protons

Protons Alfvén waves

weak scattering

weak scatteringlog P(r)

Page 9: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Numerical modeling of coronal DSA

Large events exceeding the threshold for wave-growth require self-consistent modeling

particles affect their own scattering conditions

Monte Carlo simulations with wave growth

SW: radial field, W = u + vA = 400 km/s

parallel shock with constant speed Vs and sc-compression ratio rsc

WKB Alfvén waves modified by wave growth

Suprathermal (~ 10 keV) particles injected to the considered flux tube at the shock at a constant rate

waves P(r,f,t) and particles f(r,p,μ,t) traced simultaneously

Γ = π2 fcp · pr Sp(r,pr,t)/nvA <(Δθ)2>/Δt = π2 fcp · fr P(r,fr,t)/B2

pr = fcp mpV/f fr = fcp mpV/p

u

B

Vs

Page 10: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Examples of simulation results

Shock launched at R = 1.5 Rsun at speed Vs = 1500 km/s in all

examples.

Varied parameters:

Ambient scattering mean free path @ r = 1.5 Rsun and E = 100 keV

Λ0 = 1, 5, 30 Rsun

Injection rate

q = Ninj/tmax << qsw

where qsw = ∫ n(r)A(r) dr /tmax = 2.2·1037 s-1

Scattering center compression ratio of the shock,

rsc = 2, 4

Page 11: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

rsc = 2, q ~ 4.7·1032 s-1, Λ0 = 1 Rsun

- Proton acceleration up to 1 MeV in 10 min- Hard escaping proton spectrum (~ p–1 )- Very soft (~ p–4) spectrum at the shock

- Wave power spectrum increased by 2 orders of magnitude at the shock at resonant frequencies

Page 12: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

rsc = 4, q ~ 4.7·1032 s-1, Λ0 = 1 Rsun

- Proton acceleration up to ~20 MeV in 10 min- Hard escaping proton spectrum (~ p–1)- Softer (~ p–2) spectrum at the shock

- Wave power spectrum increased by > 3 orders of magnitude at the shock at resonant frequencies

Page 13: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

rsc = 4, q ~ 1.9·1033 s-1, Λ0 = 5 Rsun

- Proton acceleration up to ~20 MeV in < 3 min- Hard escaping proton spectrum (~ p–1)- Softer (~ p–2) spectrum at the shock

- Wave power spectrum increased by ~ 4 orders of magnitude at the shock at resonant frequencies

Page 14: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

rsc = 4, q ~ 3.9·1032 s-1, Λ0 = 30 Rsun

- Proton acceleration up to ~100 MeV- Hard escaping proton spectrum (~ p–1)- Softer (~ p–2) spectrum at the shock

- Wave power spectrum increased by > 5 orders of magnitude at the shock at resonant frequencies

Page 15: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Comparison with the theory of Bell (1978)

Qualitative agreement at the shock below cut-offGood agreement upstream behind escaping particles

Page 16: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Escaping particles (Λ0 = 1 Rsun)

threshold forwave-growth

NOTE: Observational streaming- limited spectrum somewhat softer than the simulated one (~ E-1/2).

Page 17: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Cut-off energy

Simulations consistent with analytical modeling:

proton spectrum at the shock a power law consistent with Bell (1978)

escaping particle spectrum a hard power law consistent with Vainio (2003):

p dN/dp|esc ~ 4·1033 sr–1

Power-laws cut off at an energy, which depends strongly on the injection rate q = Ninj/tmax

Ec ~ qa with a ~ 0.5 – 2

High injection rate leads to very turbulent environment → challenge for modeling !

Ninj [sr–1]1035 1036 1034

10–1

100

101

102

Ec [M

eV

]

simulation time = 640 s

log E

log f @shock

Bell (1978)

Bell/10

Ec

Page 18: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Summary and outlook

Large SEP events excite large amounts of Alfvén waves

need for self-consistent transport and acceleration modeling

quantitatively correct results require numerical simulations

Monte Carlo simulation modeling of SEP events:

qualitative agreement with analytical models of particle acceleration (Bell 1978) and escape (Vainio 2003)

modest injection strength (q < 10-4 qsw) can result in > 100 MeV

protons and non-linear Alfvén-wave amplitudes

streaming-limited intensities;spectrum of escaping protons still too hard in simulations

The present model needs improvements in near future:

more realistic model of the SW and shock evolution

implementation of the full wave-particle resonance condition

Page 19: Monte-Carlo simulations of shock acceleration of solar energetic particles in self-generated turbulence Rami Vainio Dept of Physical Sciences, University

Vs = 2200 km/s, rsc = 4, t = 640 s,

q ~ 4.7·1032 s-1, Λ0 = 1 Rsun

protons waves