ObservationalValidation of theModeling andSimulation of aCME

D. LLOVERAS; H. CREMADES; F. A. IGLESIAS; A. M. VASQUEZ; F. NUEVO; W. MANCHESTER IV

Monterrey

Conferencia; XIV COLAGE; 2024

ALAGE

Coronal mass ejections (CMEs), huge structures of plasma and magnetic field that are expelled from the solar corona into the solar wind, play a determining role in the evolution of space weather and climate. A detailed understanding of the physical mechanisms that govern CME dynamics requires the combination of observations with theoretical modeling and numerical simulation. In this work, we use the threedimensional (3D) magnetohydrodynamic AlfvénWave Solar Model (AWSOM) to simulate the background corona and solar wind. To simulate the CMEs, we use the Eruptive Event Generator Gibson-Low module (EEGGL), which provides an initial flux-rope type magnetic configuration that is allowed to evolve into the interplanetary medium. In order to compare the observations with a 3D model, we use the Graduated Cylindrical Shell (GCS) that best fits the observations. We use a Deep Neural Network (DNN) to identify and segment the outer envelope of CMEs in a time series of single images provided by SOHO/LASCO-C2, and STEREO/COR2, which allows to calculate parameters (suchas angular width and central position angle) of the projected CME using the segmentation masks. We use the parameters calculat ed through the segmentation masks obtained by using real images, total brightness of the GCS model, and EEGGL simulated total brightness. In thispresentation, we show the analysis applied to a specific event, whose observations are used to validate the simulation’s ability to successfully model this CME.