Geometrical properties of the interaction between oblique incoming coronal waves and coronal holes

¹ Departament de Física, Universitat de les Illes Balears (UIB), 07122 Palma, Spain
e-mail: isabell.piantschitsch@uib.es
² Institute of Applied Computing & Community Code (IAC 3), UIB, Palma, Spain
³ Institute of Physics, University of Graz, Universitätsplatz 5, 8010 Graz, Austria

Received: 20 December 2020
Accepted: 12 March 2021

Abstract

Observations of coronal waves (CWs) interacting with coronal holes (CHs) show the formation of typical wave-like features, such as reflected, refracted and transmitted waves (collectively, secondary waves). In accordance with these observations, numerical evidence for the wave characteristics of CWs is given by simulations, which demonstrate effects of deflection and reflection when a CW interacts with regions exhibiting a sudden density drop, such as CHs. However, secondary waves are usually weak in their signal and simulations are limited in the way the according idealisations have to be chosen. Hence, several properties of the secondary waves during a CW–CH interaction are unclear or ambiguous and might lead to misinterpretations. In this study we follow a theoretical approach and focus in particular on the geometrical properties of secondary waves caused by the interaction between oblique incoming CWs and CHs. Based on a linear theory, we derive analytical expressions for reflection and transmission coefficients, which tell us how strongly the amplitudes of the secondary waves increase and decrease with respect to the incoming wave, respectively. Additionally, we provide analytical terms for crucial incidence angles that are capable of giving information about the energy flux, the phase and the reflection properties of the secondary waves. These novel expressions provide a supplementary tool for estimating CW properties in a fast and straightforward way, and therefore might have relevant consequences for a possible new interpretation of previously studied CW–CH interaction events and may help in the clarification of ambiguous observational data.