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The effect of collisional cooling of energetic electrons on radio emission from the centrifugal magnetospheres of magnetic hot stars

Published online by Cambridge University Press:  01 October 2025

B. Das*
Affiliation:
CSIRO, Space and Astronomy, P.O. Box 1130, Bentley WA 6102, Australia
S. P. Owocki
Affiliation:
Department of Physics and Astronomy, University of Delaware, 217 Sharp Lab, Newark, Delaware, 19716, USA
*
Corresponding author: B. Das; Emails: Barnali.Das@csiro.au, dbarnali05@gmail.com
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Abstract

This paper extends our previous study of the gyro-emission by energetic electrons in the magnetospheres of rapidly rotating, magnetic massive stars, through a quantitative analysis of the role of cooling by Coulomb collisions with thermal electrons from stellar wind material trapped within the centrifugal magnetosphere (CM). For the standard, simple CM model of a dipole field with aligned magnetic and rotational axes, we show that both gyro-cooling along magnetic loops and Coulomb cooling in the CM layer have nearly the same dependence on the magnitude and radial variation of magnetic field, implying then that their ratio is a global parameter that is largely independent of the field. Analytic analysis shows that, for electrons introduced near the CM layer around a magnetic loop apex, collisional cooling is more important for electrons with high pitch angle, while more field-aligned electrons cool by gyro-emission near their mirror point close to the loop base. Numerical models that assume a gyrotropic initial deposition with a gaussian distribution in both radius and loop co-latitude show the residual gyro-emission is generally strongest near the loop base, with highly relativistic electrons suffering much lower collisional losses than lower-energy electrons that are only mildly relativistic. Even for cases in which the energy deposition is narrowly concentrated near the loop apex, the computed residual emission shows a surprisingly broad distribution with magnetic field strength, suggesting that associated observed radio spectra should generally have a similarly broad frequency distribution. Finally, we briefly discuss the potential applicability of this formalism to magnetic ultracool dwarfs (UCDs), for which Very Long Baseline Interferometry (VLBI) observations indicate incoherent radio emission to be concentrated around the magnetic equator, in contrast to our predictions here for magnetic hot stars. We suggest that this difference could be attributed to UCDs having either a lower ambient density of thermal electrons, or more highly relativistic non-thermal electrons, both of which would reduce the relative importance of the collisional cooling explored here.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided that no alterations are made and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use and/or adaptation of the article.
Copyright
© Crown Copyright - Commonwealth Scientific and Industrial Research Organisation and the Author(s), 2025. Published by Cambridge University Press on behalf of Astronomical Society of Australia
Figure 0

Figure 1. For our assumed model of a centrifugal magnetosphere (CM) limited by centrifugal breakout (CBO), the colour plot shows the log of electron density normalised to its maximum value in the equator at the Kepler radius, which for this model with critical rotation fraction $W=1/2$, occurs at $R_K/R=W^{-2/3}= 1.59$ (denoted here by the white circle). The yellow contours show magnetic field lines extending to an outer radius $r=12 R$, with spacing set to follow the field strength.

Figure 1

Figure 2. Top: On a log-log scale, the black curve plots the mirror-cycle time-average of $\langle p b^3 \rangle$ computed from (21 vs. sine of apex pitch angle $\sin {\unicode{x03B1}}_\mathrm{a}$. The red and blue dashed lines show that $(\sin {\unicode{x03B1}})^{-3.3}$ is a much better fit to $\langle p b^3 \rangle$ than the simple estimate $(\sin {\unicode{x03B1}})^{-4}$. The vertical dotted lines mark the minimum apex pitch angle for the mirror radius $r_\mathrm{m}$ to remain above the stellar radius R for the labelled values of apex radius $r_\mathrm{a}$. The black dots thus mark the maximum possible value of $\langle p b^3 \rangle$ for loops with these apex radii. Bottom: The black curve now shows this $\langle p b^3 \rangle_\mathrm{max}$ plotted vs. $r_\mathrm{a}/R$. The red dashed curve shows that this maximum is quite well fit by $(r_\mathrm{a}/R)^5$.

Figure 2

Figure 3. For a mildly relativistic electron with initial Lorentz factor ${\unicode{x03B3}}_0 = 1.5$ and initial pitch angle ${\unicode{x03B1}}_\mathrm{a} = 30^o$, the variation of magnetic moment p, energy e, and latitudinal cosine ${\unicode{x03BC}}$ plotted vs. the dimensionless time $t/t_\textrm{a} = v_0 t/r_\textrm{a}$ (left columns), latitude ${\unicode{x03BC}}$ (middle columns), and magnetic moment p (right columns), for apex radii $r_\mathrm{a}=6R$ (left) and $r_\mathrm{a}=10R$ (right). The weaker field strength and gyro-cooling in the right set leads to many more mirror cycles on the right vs. left. But the net relative importance of collisional vs. gyro-synchrotron cooling across the CM layer – shown by the drops in e and p across ${\unicode{x03BC}}=0$ – are the same in the left vs. right cases.

Figure 3

Figure 4. Top: Comparison between numerically computed values of $\langle pb^3\rangle$ (as defined in ${\S}$3.3) with the analytically predicted ones, plotted as a function of initial pitch angle for a fixed apex radius of $10\,R$. Middle: The ratio between final value of p to its initial values over the time ranges considered for the top panel. Bottom: Ratio between predicted mirroring cosine to the ‘actual’ (numerical) mirroring cosine.

Figure 4

Figure 5. Numerically computed $\langle pb^3\rangle_\mathrm{max}$ as a function of $r_\mathrm{a}/R$.

Figure 5

Figure 6. Time evolution of energy lost by radiation and collision for an electron with initial pitch angle of $30^\circ$, injected at the magnetic equator at an apex radius of $10\,R$ for three different values of initial Lorentz factor ${\unicode{x03B3}}_0$. Note that the times here refer to the dimensionaless times (scaled by the respective $t_\mathrm{a}, \S$3.1).

Figure 6

Figure 7. Distribution of energy lost by radiation over co-latitude for a gyrotropic electron distributions with three different values of initial Lorentz factor. The apex radius for all three cases is 10 R.

Figure 7

Figure 8. Top: Spatial distribution of input energy (Equation 29) for three different values of mean $r_\mathrm{a}$. The mean Lorentz factor and the parameter $\sigma_{\unicode{x03BC}}$ (see ${\S}$4.2) are fixed at $1.5$ and $0.1$, respectively. The Kepler radius is $1.59\,R$. Middle: The corresponding distribution of energy lost via radiation. The white lines represent contours of magnetic field strength B, spaced logarithmically by $-0.1$ dex from the stellar surface value at the magnetic equator. For comparison, the corresponding distributions of radiative energy lost in the absence of collisional cooling are also shown in the bottom panels. Note that, since we are interested in the distribution only, we have normalised the energy values by dividing them by the respective maxima (which vary significantly between the cases with and without collisional cooling, but are comparable for the different values of mean $r_\mathrm{a}$).

Figure 8

Figure 9. Top: Spatial distribution of input energy (Equation 29) for two values of $\sigma_{\unicode{x03BC}}$. Middle and bottom: The corresponding distribution of energy lost via radiation for a mean Lorentz factor of 1.5 (middle row) and 11 (bottom row). Note that, since we are interested in the distribution only, we have normalised the values by dividing them by the respective maximum values. The maxima of the output energy distributions are higher for the case of the higher Lorentz factor by approximately an order of magnitude. For a fixed value of the Lorentz factor, more energy is lost via radiation when $\sigma_{\unicode{x03BC}}$ is higher. The white lines again represent contours of magnetic field strength B, spaced logarithmically by $-0.1$ dex from the stellar surface value at the magnetic equator.

Figure 9

Figure 10. Distribution of radiated energy as a function of magnetic field strength corresponding to the cases shown in Figure 9. The dashed lines represent the input energy distribution. The vertical line on the right represents the polar magnetic field strength.

Figure 10

Figure 11. Variation of the angular extent of the magnetosphere of the radio-bright magnetic hot star HD 142184, as a function of frequency for different harmonic numbers s, as predicted by Equation 30. The stellar and magnetic parameters are taken from Shultz et al. (2019) and the distance is obtained from the Gaia parallax measurement (Gaia Collaboration et al., 2016; Gaia Collaboration et al., 2023). The vertical line marks the frequency of 8 GHz, and the horizontal line marks ${\unicode{x03B8}}=1$ mas.