Paper detail

Perpendicular Ion Heating by Reduced Magnetohydrodynamic Turbulence

Recent theoretical studies argue that the rate of stochastic ion heating in low-frequency Alfvén-wave turbulence is given by $Q_\perp = c_1 [(δu)^3 /ρ] \exp(-c_2/ε)$, where $δu$ is the rms turbulent velocity at the scale of the ion gyroradius $ρ$, $ε= δu/v_{\perp \rm i}$, $v_{\perp \rm i}$ is the perpendicular ion thermal speed, and $c_1$ and $c_2$ are dimensionless constants. We test this theoretical result by numerically simulating test particles interacting with strong reduced magnetohydrodynamic (RMHD) turbulence. The heating rates in our simulations are well fit by this formula. The best-fit values of $c_1$ are $\sim 1$. The best-fit values of $c_2$ decrease (i.e., stochastic heating becomes more effective) as the grid size and Reynolds number of the RMHD simulations increase. As an example, in a $1024^2 \times 256$ RMHD simulation with a dissipation wavenumber of order the inverse ion gyroradius, we find $c_2 = 0.21$. We show that stochastic heating is significantly stronger in strong RMHD turbulence than in a field of randomly phased Alfvén waves with the same power spectrum, because coherent structures in strong RMHD turbulence increase orbit stochasticity in the regions where ions are heated most strongly. We find that $c_1$ increases by a factor of $\sim 3$ while $c_2$ changes very little as the ion thermal speed increases from values $\ll v_{\rm A}$ to values $\sim v_{\rm A}$, where $v_{\rm A}$ is the Alfvén speed. We discuss the importance of these results for perpendicular ion heating in the solar wind.

preprint2013arXivOpen access
0citations
0reviews
0saves
Nocode
Nodataset
0institutions

Next steps

Decide what to do with this paper

Use like or dislike for the fast social read. The more specific scholarly feedback stays available below when needed.

Log in to curate

Reading frame

Keep the important context close to the paper

Keep the important signals around this paper in one place: votes, save state, collection context, reviews and the metadata you need before deciding what to do next.

Institutions

Add specific reaction

Move through the context

Research map

Open full explorer

Move through nearby people, institutions, topics and adjacent work without leaving the paper page.

Building this graph slice

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Structured reviews

0 review(s)

ContributeLeave structured feedbackUse the review template when you have a concrete strength, concern or method question.Open review form

No structured reviews yet. High-signal critique starts here.

Work discussion

0 comment(s)

DiscussAdd a high-signal commentKeep quick notes, caveats and replication pointers separate from formal reviews.Open comment form

No discussion yet. The first strong comment sets the tone.