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erratum
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jordidj committed Mar 21, 2024
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2 changes: 1 addition & 1 deletion _config.yml
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Expand Up @@ -25,7 +25,7 @@ author:
name : "Jordi De Jonghe"
pronouns : he/him
bio : "Theoretical plasma physicist at the University of St Andrews. PhD obtained at KU Leuven."
location : "Dundee, UK"
location : "St Andrews, UK"
employer : "University of St Andrews"
uri : # URL
email : "[email protected]"
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2 changes: 1 addition & 1 deletion _pages/about.md
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Expand Up @@ -18,4 +18,4 @@ During my PhD at KU Leuven (Belgium), I developed a wide range of interests and
If any of these topics piqued your interest, please check out my publications.

---
_This website was last updated on 18 March 2024._
_This website was last updated on 21 March 2024._
2 changes: 1 addition & 1 deletion _pages/publications.md
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Expand Up @@ -5,7 +5,7 @@ permalink: /publications/
author_profile: true
---

Click a title to see the abstract.
Click a title to see the abstract and errata.

{% if site.author.googlescholar %}
<div class="wordwrap">You can also find my articles on <a href="{{site.author.googlescholar}}">my Google Scholar profile</a>.</div>
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4 changes: 3 additions & 1 deletion _publications/2020-12-twofluid.md
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Expand Up @@ -11,4 +11,6 @@ citation: 'De Jonghe, J. and Keppens, R. (2020). &quot;A two-fluid analysis of w

__Abstract.__ Following recent work, we discuss waves in a warm ideal two-fluid plasma consisting of electrons and ions starting from a completely general, ideal two-fluid dispersion relation. The plasma is characterized by five variables: the electron and ion magnetizations, the squared electron and ion sound speeds, and a parameter describing the angle between the propagation vector and the magnetic field. The dispersion relation describes six pairs of waves which we label S, A, F, M, O, and X. Varying the angle, it is argued that parallel and perpendicular propagation (with respect to the magnetic field) exhibit unique behavior. This behavior is characterized by the crossing of wave modes which is prohibited at oblique angles. We identify up to six different parameter regimes where a varying number of exact mode crossings in the special parallel or perpendicular orientations can occur. We point out how any ion–electron plasma has a critical magnetization (or electron cyclotron frequency) at which the cutoff ordering changes, leading to different crossing behaviors. These are relevant for exotic plasma conditions found in pulsar and magnetar environments. Our discussion is fully consistent with ideal relativistic MHD and contains light waves. Additionally, by exploiting the general nature of the dispersion relation, phase and group speed diagrams can be computed at arbitrary wavelengths for any parameter regime. Finally, we recover earlier approximate dispersion relations that focus on low-frequency limits and make direct correspondences with some selected kinetic theory results.

Preprint - [arXiv:2011.06282](https://arxiv.org/abs/2011.06282)
Preprint - [arXiv:2011.06282](https://arxiv.org/abs/2011.06282)

__Erratum.__ In Fig. 5b, the electron densities of the data points for Pulsar Wind and Magnetar Wind are a factor of $$10^3$$ too small and should be shifted to the right accordingly. The discussion is unaffected.
2 changes: 1 addition & 1 deletion _publications/2023-06-thesis.md
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title: "Linear theory of plasma waves and instabilities: from ion-electron to MHD descriptions"
collection: publications
permalink: /publication/2023-06-thesis
excerpt: "Click title to see errata."
excerpt: ""
date: 2023-06-14
venue: PhD thesis
paperurl: 'http://jordidj.github.io/files/thesis.pdf'
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2 changes: 1 addition & 1 deletion _publications/2024-01-neuralnetwork.md
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Expand Up @@ -6,7 +6,7 @@ excerpt: "Preprint - [arXiv:2312.08490](https://arxiv.org/abs/2312.08490)"
date: 2024-01-16
venue: 'Neural Computing and Applications'
paperurl: 'http://doi.org/10.1007/s00521-023-09403-1'
citation: 'De Jonghe, J. and Kuczyński, M. D. (2024). &quot;Neural network classification of eigenmodes in the magnetohydrodynamic spectroscopy code Legolas.&quot; <i>Neural. Comput. Appl</i>.'
citation: 'De Jonghe, J. and Kuczyński, M. D. (2024). &quot;Neural network classification of eigenmodes in the magnetohydrodynamic spectroscopy code Legolas.&quot; <i>Neural Comput. Appl</i>.'
---

__Abstract.__ A neural network is employed to address a non-binary classification problem of plasma instabilities in astrophysical jets, calculated with the Legolas code. The trained models exhibit reliable performance in the identification of the two instability types supported by these jets. We also discuss the generation of artificial data and refinement of predictions in general eigenfunction classification problems.
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