turbulence and dissipation in magnetized space plasmas
play

Turbulence and dissipation in magnetized space plasmas Fouad - PowerPoint PPT Presentation

Turbulence and dissipation in magnetized space plasmas Fouad Sahraoui Laboratoire de Physique des Plasmas Laboratoire de Physique des Plasmas LPP, CNRS-Ecole Polytechnique-UPMC-Observatoire de Paris, France Collaborators: L. Hadid, S. Huang,


  1. Turbulence and dissipation in magnetized space plasmas Fouad Sahraoui Laboratoire de Physique des Plasmas Laboratoire de Physique des Plasmas LPP, CNRS-Ecole Polytechnique-UPMC-Observatoire de Paris, France Collaborators: L. Hadid, S. Huang, S. Banerjee, N. Andrés, S. Galtier, K. Kiyani, G. Belmont, M. Goldstein, L. Rezeau and many others

  2. Outline 1. Part I: Turbulence in space plasmas (solar wind and planetary magnetosheaths): Introduction, space instrumentation, data analysis techniques 2. Part II: MHD Turbulence 3. Part III: Kinetic turbulence

  3. Part I: Turbulence in space plasmas 1. Plasmas in the Universe 2. Space plasmas: Sun, Solar wind, Planetary magnetospheres 3. Why do we need to study plasma turbulence ? 4. In-situ space instrumentation and related measurements 5. Multispacecraft data analysis techniques (e.g., the k- filtering)

  4. Turbulence in the Univers Turbulence is ubiquitous in the Univers –It covers all scales, from quantum to cosmological ones! Observed heating and particle acceleration (i.e. jets) in astrophysical objects are caused by turbulence dissipation Solar corona heating Turbulence in galaxies & nebulas

  5. Accretion disks of black holes [Hawley & Balbus, 2002 (simulations)] Articst’s view: NASA/JPL-Caltech Matter spirals into the black hole, converting huge gravitational potential energy into heat: - Magnetorotational Instability (MRI) drives turbulence [Balbus, 1992] - Turbulence cascades nonlinearly to small scales - Kinetic mechanisms damp turbulence and lead to plasma heating Emitted radiations (e.g. X-rays) are function of the plasma heating

  6. The Sun Solar corona Solar corona T (K) 10 6 Solar wind Solar wind 10 5 10000 Very strong heating in the transition region visible

  7. The solar wind [Richardson & Paularena, 1995] The solar wind plasma is generally: � Fully ionized (H + , e - ) � Non -relativistic (V A <<c), V~350-800 km/s � Collisionless

  8. Sun-Earth coupling SUN Magnetized planet Solar Wind Magnetic field & plasma particles Magnetosphere Magnetosheath

  9. Planetary magnetospheres

  10. Turbulence in fusion devices Turbulence is the main obstacle to plasma confinement A better understanding of turbulent transport � A better control � A longer confinement

  11. Any common physics ? N~10 6 cm -3 T i ~10 12 K B~10 6 nT N~5 cm -3 T i ~10 K B~10 nT Sun-Earth ~ 10 11 m

  12. Near-Earth space plasmas [Scheckochihin et al., ApJ, 2009] Pression thermique NT β = ≈ 0 . 4 2 Pression magnétique B [ Vaivads et al., Plasma Phys. Contr. Fus., 2009]

  13. Remote sensing (distant plasmas) Bernard Lyot Telescope at Observatoire du Pic du Bernard Lyot, the inventor of Midi ( photo P. Petit ) coronograph ( photo Observatoire de Paris )

  14. In-situ measurements (space plasmas) Plasmas � A coupled system of equations ∇ × = −∂  ∂ + ∇ =  E B n .( n u ) 0 t t e e e   ( ) 1 ∂ + ∇ + ∇ = − + ×  ∇ × = ∂ + µ n m u n u .( u ) p n e E u B  B E j e e t e e e e e e e  t 0 2  c ∂ + ∇ = n .( n u ) 0   t i i i ρ ρ ( ( ) )     ∇ ∇ = = ∂ ∂ + + ∇ ∇ + + ∇ ∇ = = + + × × . . E E n n m m u u n n u u .( .( u u ) ) p p n n e e E E u u B B   ε i i t i i i i i i i  0  ∇ =  . B 0 = − j n e u n e u i i e e ρ = − n e n e i e Ideally , a space plasma physicist would like to measure: - B & E: 3 components over a broad range of frequencies [DC, MHz] - N i,e , V i,e , T i,e : in 3D at all energies (eV, MeV) and with high resolutions

  15. In-situ measurements THOR spacecraft: 10 instruments (currently under phase A study at ESA) EFI-HFA SCM EFI-HFA 4m 2.5m spin 50m Z FGM GSE EFI-SDP X Y

  16. Instruments overview: fields (1) Fluxgate magnetometer : B B ext =0 measurements in [DC, 1Hz] -B i ± B i B ext ≠ ≠ ≠ ≠ 0

  17. Instruments overview: fields (2) Search-coil magnetometer (SCM): [0.1Hz, ~1MHz] Φ d = − = − π µ θ Lenz’s law (induced voltage): V N j 2 f N S B cos C eff dt µ µ µ µ eff effective permeability of the core µ µ µ µ θ θ effective permeability of the core S [m 2 ] B N L R C C [turns] e L V ~ ~ ~ ~ V C C core d

  18. ≡ G V B / A feedback ractionis needed to Resonance obtain a flat response function Gain [dBV/nT] Frequency log f = π f 1 2 L C 0 C y y Dual band SCM: Dual band SCM: LF-SC (Y) LF-SC (Y) LF [1Hz, 4kHz] x LF-SC (X) HF [1kHz, 1MHz] z Solar Orbiter/SCM DB-SC (Z) BepiColombo/SCM (LPP- (LPC2E) Univ. Kanasawa, JP)

  19. Instruments overview: fields (3) Electric field: [DC, 1MHz] EFI-HFA 4m 2.5m P 2 P 1 RBSP/EFW (from the THOR proposal) RBSP/EFW (from the THOR proposal) spin spin 50m FGM e = n C exp( V / C ) 1 SC 2 E 21 Spacecraft potential V sc � electron density n e Hadid et al., 2016b

  20. Instruments overview: fields (4) Onboard wave analyzers Solar Orbiter/LF THR analyzer analyzer THOR/FWP (Field and Wave Processing TNR/HFR � High time resolution Unit –Courtesy THOR proposal) measurement of N e and T e

  21. MSA Instruments overview: particles (1) BepiColombo (Ion and electron) mass spectrometers ion+ 0 -V Angle selection Energy selection LEF MCP LEF Carbon foil Carbon foil -15 kV Departure of the START STOP Time Of Flight ion + analysis End of the flight : LEF TOF gives the neutral ion - m/q ratio +15 kV STOP STOP ST MCP ST

  22. Output measurements : � The nature of the particles (m/q) � Their direction and energy/velocity � Velocity distribution function (VDF) � Moments of the VDF : <v> density, velocity, temperature N v th

  23. Instruments overview: particles (2) Particle Processing Unit (PPU) Solar Orbiter/PPU (Courtesy of TSD/RTI --from THOR proposal). +Energetic particles + ASPOC + active sounder + … THOR/PPU (Courtesy of TSD/RTI and THOR proposal).

  24. Back to turbulence: phenomenology NS equation: ∂ + = − ∇ − ∇ + ν ∇ P V F V. V 2 V t i E (k) k -5/3 Inertial range Courtesy of A. Celani k i k d k • Hydro: Scale invariance down to the dissipation scale 1/k d • Collisionless Plasmas: - Breaking of the scale invariance at ρ i,e d i,e - Absence of the viscous dissipation scale 1/k d

  25. Matthaeus & Goldstein, 82 Solar wind turbulence Typical power spectrum of magnetic –5/3 energy at 1 AU f Does the energy cascade or dissipate below the ion scale ρ i ? Richardson & Paularena, GRL, 1995 (Voyager data) Leamon et al. 98; Goldstein et al. JGR, 94

  26. How to analyse space turbulence ? Turbulence theories generally predict spatial spectra: K41 ( k -5/3 ); IK ( k -3/2 ), -5/3 ) , Whistler turbulence ( k –7/3 ), ... Anisotropic MHD turbulence ( k ⊥ Example of measured spectra in the SW But measurements provide only temporal spectra (generally with different power laws at differe) How to infer spatial spectra from temporal ones measured in the - α ⇒ B 2 ~k // - β k ⊥ spacecraft frame? B 2 ~ ω sc - γ ?

  27. The spatio-temporal ambiguity (1) Spacecraft measurements show highly variable phenomena. With 1 point measurement one cannot distinguish space effects from temporal effects Monochromatic wave Single Observer crossing the wave

  28. The spatio-temporal ambiguity (2) A minimum of 4 spacecraft is needed to sample the 3 directions of space (e.g., ESA/Cluster and NASA/MMS missions) Monochromatic wave Multipoint measurements

  29. The Taylor frozen-in flow assumption In the solar wind (SW) the Taylor’s hypothesis can be valid at MHD scales High SW speeds: V ~600km/s >> V ϕ ~V A ~50km/s ⇒ ω = ω + ≈ = k.V k.V k.V k.V k V k V V V spacecraft spacecraft plasma plasma ⇒ Inferring the k -spectrum is possible with one spacecraft But only along one single direction

  30. 1. At MHD scales, even if the Taylor assumption is valid, inferring 3D k- spectra from an ω -spectrum is impossible 2. At sub-ion and electron scales scales V ϕ can be larger scales scales V ϕ can be larger than V sw ⇒ The Taylor’s hypothesis is invalid MHD scales Sub-ion scales 1 & 2 ⇒ Need to use multi-spacecraft measurements and appropriate methods to infer 3D k-spectra

  31. The k-filtering technique (1) Goal: estimation of the spectral energy density P ( ω , k) f rom the multipoint measurements of a turbulent field Method: it uses a filter bank approach : the filter bank is constructed to absorb all signals, except those corresponding to plane waves with a specified frequency and wave vector, to plane waves with a specified frequency and wave vector, which pass unaffected. By going through all frequencies and wave vectors, one gets an estimate of the wave-field energy distribution P ( ω , k) [Pinçon & Lefeuvre, 1991; Sahraoui et al., 2003, 2004, 2006; 2010; Narita et al., 2010; Grison et al., 2005; Tjulin et al., 2005; Roberts et al., 2012]

  32. The k-filtering technique (2) k 1 k 2 k j k 3

  33. The k-filtering technique (3) = k . B 0 ω = × B k E

  34. The k-filtering technique (4)

  35. The k-filtering technique (5) [Tjulin et al., 2005]

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend