Hostname: page-component-6766d58669-7fx5l Total loading time: 0 Render date: 2026-05-20T11:28:54.154Z Has data issue: false hasContentIssue false

An approximate analytic solution to the coupled problems of coronal heating and solar-wind acceleration

Published online by Cambridge University Press:  21 May 2021

Benjamin D. G. Chandran*
Affiliation:
Department of Physics and Astronomy, University of New Hampshire, Durham, NH 03824, USA
*
Email address for correspondence: benjamin.chandran@unh.edu
Rights & Permissions [Opens in a new window]

Abstract

Between the base of the solar corona at $r=r_\textrm {b}$ and the Alfvén critical point at $r=r_\textrm {A}$, where $r$ is heliocentric distance, the solar-wind density decreases by a factor $ \mathop > \limits_\sim 10^5$, but the plasma temperature varies by a factor of only a few. In this paper, I show that such quasi-isothermal evolution out to $r=r_\textrm {A}$ is a generic property of outflows powered by reflection-driven Alfvén-wave (AW) turbulence, in which outward-propagating AWs partially reflect, and counter-propagating AWs interact to produce a cascade of fluctuation energy to small scales, which leads to turbulent heating. Approximating the sub-Alfvénic region as isothermal, I first present a brief, simplified calculation showing that in a solar or stellar wind powered by AW turbulence with minimal conductive losses, $\dot {M} \simeq P_\textrm {AW}(r_\textrm {b})/v_\textrm {esc}^2$, $U_{\infty } \simeq v_\textrm {esc}$, and $T\simeq m_\textrm {p} v_\textrm {esc}^2/[8 k_\textrm {B} \ln (v_\textrm {esc}/\delta v_\textrm {b})]$, where $\dot {M}$ is the mass outflow rate, $U_{\infty }$ is the asymptotic wind speed, $T$ is the coronal temperature, $v_\textrm {esc}$ is the escape velocity of the Sun, $\delta v_\textrm {b}$ is the fluctuating velocity at $r_\textrm {b}$, $P_\textrm {AW}$ is the power carried by outward-propagating AWs, $k_\textrm {B}$ is the Boltzmann constant, and $m_\textrm {p}$ is the proton mass. I then develop a more detailed model of the transition region, corona, and solar wind that accounts for the heat flux $q_\textrm {b}$ from the coronal base into the transition region and momentum deposition by AWs. I solve analytically for $q_\textrm {b}$ by balancing conductive heating against internal-energy losses from radiation, $p\,\textrm {d} V$ work, and advection within the transition region. The density at $r_\textrm {b}$ is determined by balancing turbulent heating and radiative cooling at $r_\textrm {b}$. I solve the equations of the model analytically in two different parameter regimes. In one of these regimes, the leading-order analytic solution reproduces the results of the aforementioned simplified calculation of $\dot {M}$, $U_\infty$, and $T$. Analytic and numerical solutions to the model equations match a number of observations.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1. Schematic overview of model.

Figure 1

Table 1. Glossary.

Figure 2

Figure 2. Three approximations to the optically thin radiative loss function $\varLambda (T)$; see the text for further discussion.

Figure 3

Figure 3. The outflow velocity $U$, density $\rho$, r.m.s. amplitude of the velocity fluctuation $\delta v$, and temperature $T$ as functions of heliocentric distance $r$ in a numerical solution to the model equations with $\eta _\textrm {b} = 100$, $\sigma = 0.5$, and the parameter values in (4.1), (4.2), (4.6), and (4.7). The dotted lines in the top-left panel are described in the text. In the top panels and the lower-right panel, the circles are measurements from a 1 h interval containing PSP's first perihelion on 6 November 2018, from figure 1 of Kasper et al. (2019). The error bars around the PSP data points in these three panels indicate the approximate range of values with a relative occurrence rate of at least 50 % of the peak occurrence rate within that 1 h interval. In the top-right panel, the error bars lie within the data point. In the lower-left panel, the PSP data point is from Chen et al. (2020), and the error bars around that data point show the approximate range of measured values near $r=35.7 R_{\odot }$ in figure 7 of Chen et al. (2020). The triangle in the lower-left panel is the value obtained by De Pontieu et al. (2007) from an analysis of the motion of filamentary structures in the low solar atmosphere based on observations from the Solar Optical Telescope on the Hinode satellite.

Figure 4

Figure 4. Mass outflow rate as a function of the effective fluctuating velocity at the photosphere $\delta v_{\odot \textrm {eff}} = f_\textrm {chr}^{1/2} \delta v_\odot$ (see (3.49)) for the parameter values in (4.1), (4.2), (4.7), $\eta _\textrm {b} = 30$, and $\sigma =0.18$, where $f_\textrm {chr}$ is the chromospheric/transition-region AW transmission coefficient in (3.46). The corresponding r.m.s. photospheric velocity $\delta v_\odot$ is shown at the top of the plot for the case in which $f_\textrm {chr} = 0.05.$ The solid line plots (3.99) using the numerical solution to (3.67), (3.94), and (3.97). The dotted and short-dashed lines plot the approximate analytic results from (3.101) and (3.103), respectively. The vertical dash-dot line corresponds to $\epsilon _{\odot \textrm {cond}}$ in (B 14). The left and right edges of the shaded region correspond to $\epsilon _{\odot \textrm {exp}, \textrm {min}}$ and $\epsilon _{\odot \textrm {exp}, \textrm {max}}$ in (B 35) and (B 36), respectively. To the right of the vertical long-dashed line, $r_\textrm {c} > r_\textrm {A}$, which violates (3.90) and the assumptions of the model.

Figure 5

Figure 5. The dependence of various flow properties on the Wang-Sheeley super-radial expansion factor $f_{\textrm {max}, \textrm {WS}}$ (4.8) for the parameter values in (4.1), (4.2), and (4.6)–(4.9). All quantities are evaluated using numerical solutions to the model equations, with the exception of $\dot {M}_2^\textrm {(exp)}$, $\dot {M}_4^\textrm {(exp)}$, $U_{\infty , 2}^\textrm {(exp)}$, and $U_{\infty , 4}^\textrm {(exp)}$, which are defined in (B 32) and (B 33), and the data points labeled ‘WS empirical’, which are taken from table 2 of Wang & Sheeley (1990). The horizontal error bars on these data points convey the half widths of the $f_{\textrm {max}, \textrm {WS}}$ data bins in that table. The vertical error bars correspond to one-half of the $100 \mbox { km} \mbox { s}^{-1}$ increment between the discretised $U_{\infty }$ values that define four of the five data bins. The quantity $I_1 \rho _\textrm {b} \overline {c_\textrm {s}}^3$ in the left panel of the second row is the low-Mach-number approximation to $q_\textrm {b}$ given in (3.83).

Figure 6

Figure 6. The dependence of various flow properties on the Wang-Sheeley super-radial expansion factor $f_{\textrm {max},\textrm {WS}}$ (4.8) and the effective fluctuating velocity at the photosphere $\delta v_{\odot \textrm {eff}}$ defined in (3.49).

Figure 7

Figure 7. The dependence of various flow properties on the Wang-Sheeley super-radial expansion factor $f_{\textrm {max},\textrm {WS}}$ (4.8) and the strength of the radial magnetic field at $r= 1 \mbox { a.u.}$