ASCOT simulations of electron energy distribution at the divertor targets in an ASDEX Upgrade H-mode discharge

Aho-Mantila, L.; Kurki-Suonio, T.; Chankin, A.; Coster, D.; Sipilä, Seppo

doi:10.1088/0741-3335/50/6/065021

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…The energetic tail populations were reported by Batishchev et al in both attached and detached plasma simulations [30]. Electrons were simulated on a fluid background by Aho-Mantila using the ASCOT code also observed non-Maxwellian distributions on the target [31] .Observations of non-Maxwellian distribution of electrons in the NSTX divertor have also been reported [32].…”

Section: Introductionmentioning

confidence: 62%

Nonlinear dynamics of ion temperature gradient driven modes in non-Maxwellian magnetoplasmas

Hassan¹,

Masood²,

Batool³

et al. 2020

Phys. Scr.

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In this paper, low frequency ( ) two dimensional wave propagating in an electron-ion magnetoplasma is analytically studied in the presence of background density and ion temperature gradient using two fluid theory. Electrons are assumed to follow non-Maxwellian distribution, namely, kappa and Cairns distribution. In the linear regime, real and imaginary parts of dispersion relation are plotted for different distributions and the comparison is also drawn. In the nonlinear case, nonlinear partial differential equations (NLPDEs) are derived both for dispersive and dissipative cases for the ITG mode. The solutions of these NLPDEs are obtained using the functional variable method. The propagation characteristics of these nonlinear structures are observed by plotting them with different electron distributions for Tokamak parameters. It is found that the non-Maxwellian electrons alter the behavior of nonlinear structures for the ITG mode. The differences in the behavior of dispersive and dissipative solutions for different physical parameters of interest are also explored in detail. This work may be helpful to understand low frequency electrostatic modes in space and Tokamak plasmas where both background density inhomogeneity and nonthermal electron distributions have been observed.

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Section: Introductionmentioning

confidence: 62%

Nonlinear dynamics of ion temperature gradient driven modes in non-Maxwellian magnetoplasmas

Hassan¹,

Masood²,

Batool³

et al. 2020

Phys. Scr.

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“…The significance of ion orbit losses to the divertor power loads was studied at JET [26,27] and, since ASCOT allowed simulations also in the SOL, it was used to investigate the divertor in/out asymmetries observed at JET [28,29,30]. For the same reason, ASCOT was also applied to kinetic electrons in the ASDEX Upgrade SOL, trying to identify reasons for the discrepancy between results from the SOLPS code and measurements [31].…”

Section: Ascot -Monte Carlo Code For Minority Species In Tokamak Plasmasmentioning

confidence: 99%

“…As the collisions are about to be evaluated, the frame of reference is switched by updating the particle velocity according to v = v −bv ,flow and calculating the Coulomb contribution in Eq. ( 31) with v instead of v. This procedure is equal to calculating the Coulomb coefficients with drift Maxwellian backgrounds.…”

Section: Background Plasma Flowmentioning

confidence: 99%

ASCOT: Solving the kinetic equation of minority particle species in tokamak plasmas

Hirvijoki

Asunta

Koskela

et al. 2014

Computer Physics Communications

177

192

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A comprehensive description of methods, suitable for solving the kinetic equation for fast ions and impurity species in tokamak plasmas using Monte Carlo approach, is presented. The described methods include Hamiltonian orbit-following in particle and guiding center phase space, test particle or guiding center solution of the kinetic equation applying stochastic differential equations in the presence of Coulomb collisions, neoclassical tearing modes and Alfvén eigenmodes as electromagnetic perturbations relevant to fast ions, together with plasma flow and atomic reactions relevant to impurity studies. Applying the methods, a complete reimplementation of the well-established minority species code ASCOT is carried out as a response both to the increase in computing power during the last twenty years and to the weakly structured growth of the code, which has made implementation of additional models impractical. Also, a benchmark between the previous code and the reimplementation is accomplished, showing good agreement between the codes. methods. In ASCOT4, we follow recent developments regarding these issues and treat the collisional and Hamiltonian parts consistently [7,8].

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“…For instance, MORH is a recently developed code used in stellarator geometry [11], while ASCOT [12] is a classical one, widely used in tokamaks (see e.g. [13]). The use of these codes is mandatory when neoclassical ordering is violated because of the large radial size of orbits or because of the strong electric radial field that prevents the conservation of kinetic energy.…”

Section: Introductionmentioning

confidence: 99%

Simulations of fast ions distribution in stellarators based on coupled Monte Carlo fuelling and orbit codes

Rodríguez-Pascual

Bustos

Castejón

et al. 2013

Plasma Phys. Control. Fusion

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The numerical simulation of the dynamics of fast ions coming from neutral beam injection (NBI) heating is an important task in fusion devices, since these particles are used as sources to heat and fuel the plasma and their uncontrolled losses can damage the walls of the reactor. This paper shows a new application that simulates these dynamics on the grid: FastDEP. FastDEP plugs together two Monte Carlo codes used in fusion science, namely FAFNER2 and ISDEP, and add new functionalities. Physically, FAFNER2 provides the fast ion initial state in the device while ISDEP calculates their evolution in time; as a result, the fast ion distribution function in TJ-II stellerator has been estimated, but the code can be used on any other device. In this paper a comparison between the physics of the two NBI injectors in TJ-II is presented, together with the differences between fast ion confinement and the driven momentum in the two cases. The simulations have been obtained using Montera, a framework developed for achieving grid efficient executions of Monte Carlo applications.

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ASCOT simulations of electron energy distribution at the divertor targets in an ASDEX Upgrade H-mode discharge

Cited by 6 publications

References 16 publications

Nonlinear dynamics of ion temperature gradient driven modes in non-Maxwellian magnetoplasmas

Nonlinear dynamics of ion temperature gradient driven modes in non-Maxwellian magnetoplasmas

ASCOT: Solving the kinetic equation of minority particle species in tokamak plasmas

Simulations of fast ions distribution in stellarators based on coupled Monte Carlo fuelling and orbit codes

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