Hamiltonian bump-on-tail model: interpretation of EP/AE interaction
Nakia Carlevaro, Giovanni Montani, Xin Wang, Fulvio Zonca

TL;DR
This paper explores a Hamiltonian multi-beam approach to the bump-on-tail model, providing a new perspective on the nonlinear interaction between fast ions and Alfvén Eigenmodes in plasma physics.
Contribution
It introduces a Hamiltonian multi-beam framework as a novel method to interpret the bump-on-tail model for plasma wave-particle interactions.
Findings
Validates the Hamiltonian approach for BoT model
Offers insights into nonlinear wave-particle dynamics
Enhances understanding of Alfvén Eigenmode interactions
Abstract
The Bump-on-Tail (BoT) model is often adopted to characterize the non-linear interaction between fast ions and Alfv\'en Eigenmodes. A multi-beam Hamiltonian approach to the BoT model is tested here as paradigm for the description of these phenomena.
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Taxonomy
TopicsAtomic and Molecular Physics · Cold Atom Physics and Bose-Einstein Condensates · Laser-Matter Interactions and Applications
11institutetext: 1ENEA - FSN-FUSPHY-TSM, R.C. Frascati (Italy). 2L.T. Calcoli, Merate (Italy).
3Physics Department, “Sapienza” University of Rome (Italy).
4 Max Planck Institute for Theoretical Physics, Garching (German).
Hamiltonian bump-on-tail model:
interpretation of EP/AE interaction
N. Carlevaro1,2
G. Montani1,3
X. Wang4
F. Zonca1
Abstract
The Bump-on-Tail (BoT) model is often adopted to characterize the non-linear interaction between fast ions and Alfvén Eigenmodes (AEs). A multi-beam Hamiltonian approach to the BoT model is tested here as paradigm for the description of these phenomena.
Introduction
In this work, we reproduce the non-linear dynamics of a single beta-induced Alfvń Eigenmode (BAE) resonance treated in [1], with a one-dimensional (1D) -body description of the beam-plasma system (BPS) instability [2, 3] in the presence of an isolated resonant mode. For a single toroidal number and constant frequency, the quantity (where and are the particle toroidal angular momentum and energy, respectively, while denotes the toroidal mode number and the mode frequency), and the magnetic moment are constants of the particle (perturbed) motion. Cutting the energetic particle (EP) phase space into slices of given and , particles remain, thus, in the same slice during the whole evolution: the wave-particle power exchanges within different slices are then independent of each other. The mode evolution, however, is consistent with the presence of all the EP phase space slices (for details on Hamiltonian mapping technique, see [4]).
A proper dimensional reduction of the phase-space dynamics is at the ground of the possibility to use the BoT paradigm in this framework. In other words, by selecting constants of motion for the particle dynamics, we are able to reduce the distribution function evolution to a 1D non-autonomous problem. For an assigned initial subdivision of the EP phase space according to a set of integrals of motion (here and ), we can map each independent slice into and equivalent 1D BoT problem. Such a prescription is a necessary ingredient provided, in general, by a multi-dimensional (linear) numerical analysis, to be complemented by the mapping to the equivalent BoT problem described below.
Theoretical Framework
The mapping between the reduced radial profile () and the BPS velocity () space is a one-to-one link between the two corresponding independent variables. It is derived from the resonance condition111Following [1], the EP/BAE system is characterized by toroidal mode number and the poloidal harmonic . The normalized Tokamak radius reads ( denotes the minor radius), while frequencies are normalized as (with , where is the Alfvén speed at the magnetic axis and the major radius). The aspect ratio is set as and fast ions (hot) velocity is assumed as . At the same time, the BPS consists in a background plasma with constant particle density and beams with total number density . The plasma is assumed cold, thus the dielectric function reads (the plasma frequency is ). The periodicity length of the system is indicated as , thus the resonant wave-number can be normalized as . (where is the resonant velocity of the BPS), by defining a local map trough the expansion of near (the resonant normalized radius) as :
[TABLE]
The instability drive for the BPS is obtained from the normalized beam distribution function as
[TABLE]
where and is the corresponding Langmuir wave frequency. Moreover, for the considered resonant mode, we assume the following resonance condition . Here, we impose the proper BPS drive in order to recover the BAE linear growth rate given in [1] (specified for a fixed fast-ion density): with . Imposing now the constraints on the normalized radius (fixing a reference frame for the velocity space), *i.e., *, , and reproducing with the normalized EP radial profile (right-hand panel of Fig.1), we finally get
[TABLE]
Following the reference case of [1], we now consider the dimensional reduced analysis for a given “resonant” slice characterized by the largest power exchange. We, thus, get (as shown in the left-hand panel of Fig.1) the resonance condition , with and .
We then obtain: and with . Using dimensionless velocities , the mapping can be recast as
[TABLE]
We now sample the fast-ion density radial profile in “beams”, and formally introduce the number of particles (with ), located at , for the -body simulation: we use total particles. From the constraint , using dimensionless velocities, we obtain . For simplicity, we move to the reference frame of the average beam speed, , and arbitrarily fix the resonant normalized wave-number (). The velocity initial conditions of beam particles (left-hand panel of Fig.2) are defined from the -sampling using the mapping above, with the initial distribution defined by . This system is evolved self-consistently in order to generate the dimensionless potential (right-hand panel of Fig.2): simulation results are consistent with the assumed and correspond to an initial exponential evolution (in red in the figure) followed by mode saturation () and the consequent non-linear oscillation.
Numerical Analysis
Let us now address predictivity of the obtained numerical results on the reduced 1D radial profile evolution. A direct comparison between the self-consistent EP/BAE distribution function and that obtained from our BPS simulations is shown in Fig.3. The very good agreement of the two distribution functions is evident, demonstrating the reliability of the proposed mapping procedure. It is worth noting that the observed density flattening width is also in agreement with the BPS estimate of the non-linear velocity spread (in the right-hand panel of Fig.3, we indicate the mapped back value ), suggesting a simple predictive model of this behavior.
Finally, we observe how (see Fig.4) the growth rate scaling with the mode saturation amplitude, for the EP/BAE system, is quadratic as far as the resonance width (power transfer region) is smaller than the mode structure. Otherwise, the behavior is linear. Analogously, the quadratic scaling is also recovered for the BPS system, while the deviation for large values occurs when becomes so large that flat regions of the initial distribution function are affected by nonlinear dynamics (as depicted in the right-hand panel of Fig.4): in this limit the BPS model clearly fails.
Outlooks
The obtained results constitute the starting point for the investigation of more realistic cases of relevance for ITER with the present approach, *i.e., *the analysis of multi resonance regimes for which different resonant regions overlap [5]. Finally, two further conceptual questions must be properly addressed: (i) properly accounting for the intrinsic multi-dimensional features in the reduction of the AE dynamics to the 1D BoT model; (ii) introducing effective form factors in order to model the finite mode structure and recover the linear scaling of mode saturation by radial decoupling.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] X. Wang et al., Phys. Plasmas 23 , 012514 (2016).
- 2[2] N. Carlevaro et al., J. Plasma Phys. 81 (5), 495810515 (2015).
- 3[3] N. Carlevaro et al., Entropy 18 (4), 143 (2016).
- 4[4] S. Briguglio et al., Phys. Plasmas 21 , 112301 (2014).
- 5[5] M. Schneller, P. Lauber, S. Briguglio, Plasma Phys. Controlled Fusion 58 (1), 14019 (2016).
