scholarly journals Geometric constraints on energy transfer in the turbulent cascade

2020 ◽  
Vol 5 (3) ◽  
Author(s):  
Joseph G. Ballouz ◽  
Nicholas T. Ouellette
Keyword(s):  
Energy Transfer ◽  
Geometric Constraints ◽  
Turbulent Cascade

scholarly journals Structure function measurements of the intermittent MHD turbulent cascade

1997 ◽  
Vol 4 (3) ◽  
pp. 185-199 ◽  
Author(s):  
T. S. Horbury ◽  
A. Balogh
Keyword(s):  
Energy Transfer ◽  
High Speed ◽  
Solar Wind Plasma ◽  
Turbulent Energy ◽  
Structure Functions ◽  
Order Structure ◽  
Data Sets ◽  
Magnetic Field Data ◽  
Spacecraft Data ◽  
Turbulent Cascade

Abstract. The intertmittent nature of turbulence within solar wind plasma has been demonstrated by several studies of spacecraft data. Using magnetic field data taken in high speed flows at high heliographic latitudes by the Ulysses probe, the character of fluctuations within the inertia] range is discussed. Structure functions are used extensively. A simple consideration of errors associated with calculations of high moment structure functions is shown to be useful as a practical estimate of the reliability of such calculations. For data sets of around 300 000 points, structure functions of moments above 5 are rarely reliable on the basis of this test, highlighting the importance of considering uncertainties in such calculations. When unreliable results are excluded, it is shown that inertial range polar fluctuations are well described by a multifractal model of turbulent energy transfer. Detailed consideration of the scaling of high order structure functions suggests energy transfer consistent with a "Kolmogorov" cascade.

scholarly journals Impact of Switchbacks on Turbulent Cascade and Energy Transfer Rate in the Inner Heliosphere

2021 ◽  
Vol 922 (1) ◽  
pp. L11
Author(s):  
Carlos S. Hernández ◽  
Luca Sorriso-Valvo ◽  
Riddhi Bandyopadhyay ◽  
Alexandros Chasapis ◽  
Christian L. Vásconez ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Transfer Rate ◽  
Positive Energy ◽  
Magnetic Fluctuations ◽  
Energy Transfer Rate ◽  
Third Order ◽  
Additional Energy ◽  
The Magnetic Field ◽  
Turbulent Cascade ◽  
Inner Heliosphere

Abstract Recent Parker Solar Probe (PSP) observations of inner heliospheric plasma have shown an abundant presence of Alfvénic polarity reversal of the magnetic field, known as “switchbacks.” While their origin is still debated, their role in driving the solar wind turbulence has been suggested through analysis of the spectral properties of magnetic fluctuations. Here, we provide a complementary assessment of their role in the turbulent cascade. The validation of the third-order linear scaling of velocity and magnetic fluctuations in intervals characterized by a high occurrence of switchbacks suggests that, irrespective of their local or remote origin, these structures are actively embedded in the turbulent cascade, at least at the radial distances sampled by PSP during its first perihelion. The stronger positive energy transfer rate observed in periods with a predominance of switchbacks indicates that they act as a mechanism injecting additional energy in the turbulence cascade.

The Turbulent Cascade at 1 AU: Energy Transfer and the Third‐Order Scaling for MHD

2008 ◽  
Vol 679 (2) ◽  
pp. 1644-1660 ◽  
Author(s):  
Benjamin T. MacBride ◽  
Charles W. Smith ◽  
Miriam A. Forman
Keyword(s):  
Energy Transfer ◽  
Third Order ◽  
The Third ◽  
Turbulent Cascade

scholarly journals Turbulent Cascade and Energy Transfer Rate in a Solar Coronal Mass Ejection

2021 ◽  
Vol 919 (2) ◽  
pp. L30
Author(s):  
Luca Sorriso-Valvo ◽  
Emiliya Yordanova ◽  
Andrew P. Dimmock ◽  
Daniele Telloni
Keyword(s):  
Energy Transfer ◽  
Coronal Mass Ejection ◽  
Transfer Rate ◽  
Energy Transfer Rate ◽  
Mass Ejection ◽  
Turbulent Cascade ◽  
Solar Coronal

scholarly journals Local and global properties of energy transfer in models of plasma turbulence

2021 ◽  
Vol 87 (1) ◽  
Author(s):  
Christian L. Vásconez ◽  
D. Perrone ◽  
R. Marino ◽  
D. Laveder ◽  
F. Valentini ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Low Frequency ◽  
Turbulent Energy ◽  
Scaling Properties ◽  
Global Properties ◽  
Collisionless Plasmas ◽  
Global Scaling ◽  
Kinetic Effects ◽  
Turbulent Cascade ◽  
Energy Channels

The nature of the turbulent energy transfer rate is studied using direct numerical simulations of weakly collisional space plasmas. This is done comparing results obtained from hybrid Vlasov–Maxwell simulations of collisionless plasmas, Hall magnetohydrodynamics and Landau fluid models reproducing low-frequency kinetic effects, such as the Landau damping. In this turbulent scenario, estimates of the local and global scaling properties of different energy channels are obtained using a proxy of the local energy transfer. This approach provides information on the structure of energy fluxes, under the assumption that the turbulent cascade transfers most of the energy that is then dissipated at small scales by various kinetic processes in these kinds of plasmas.

A quantitative approach to inner shell losses

1978 ◽  
Vol 36 (1) ◽  
pp. 526-527 ◽  
Author(s):  
R.D. Leapman ◽  
P. Rez ◽  
D.F. Mayers
Keyword(s):  
Energy Transfer ◽  
Cross Section ◽  
Cross Sections ◽  
Accurate Determination ◽  
Background Intensity ◽  
Core Excitation ◽  
Quantitative Basis ◽  
Cross Section Differential ◽  
Bound Electrons

Microanalysis by EELS has been developing rapidly and though the general form of the spectrum is now understood there is a need to put the technique on a more quantitative basis (1,2). Certain aspects important for microanalysis include: (i) accurate determination of the partial cross sections, σx(α,ΔE) for core excitation when scattering lies inside collection angle a and energy range ΔE above the edge, (ii) behavior of the background intensity due to excitation of less strongly bound electrons, necessary for extrapolation beneath the signal of interest, (iii) departures from the simple hydrogenic K-edge seen in L and M losses, effecting σx and complicating microanalysis. Such problems might be approached empirically but here we describe how computation can elucidate the spectrum shape.The inelastic cross section differential with respect to energy transfer E and momentum transfer q for electrons of energy E0 and velocity v can be written as

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