Abstract Details


Name: NEELISHA NAKUL JAKATE
Affiliation: Swami Ramanand Teerth Marathwada University
Conference ID: TVS202510170
Title: 1) Unveiling Nanoflare Signatures Using Deep Learning: Insights from SDO/AIA AND 2)Investigating Polar-Directed Coronal Mass Ejections and Their Geoeffective Potential
Authors and Co-Authors:
Abstract Type: Contributory Presentation
Abstract: 1) Unveiling Nanoflare Signatures Using Deep Learning: Insights from SDO/AIA The heating of the solar corona to several million kelvin remains one of the most fundamental unresolved problems in solar physics. A leading hypothesis involves the dissipation of numerous small-scale energy release events, termed nanoflares, which are difficult to detect due to their weak intensity, short duration, and overlap with background emission. In this work, I present a deep learning–based framework for identifying nanoflare signatures in Solar Dynamics Observatory/Atmospheric Imaging Assembly (SDO/AIA) data. High-cadence EUV images in the 171 Å, 193 Å, and 211 Å channels are preprocessed for noise reduction, intensity normalization, and temporal segmentation. A convolutional neural network (CNN) trained on curated image sequences enables automated feature extraction and classification, distinguishing faint nanoflares from background variability. Preliminary results demonstrate the CNN’s ability to capture subtle spatial temporal patterns of small scale brightenings, offering an efficient pipeline for large-scale event mining. This study underscores the potential of machine learning in advancing our understanding of nanoflare heating and its contribution to coronal energetics. 2) Investigating Polar-Directed Coronal Mass Ejections and Their Geoeffective Potential Coronal mass ejections (CMEs) are the primary drivers of major space weather disturbances, yet most research has focused on equatorial and mid-latitude CMEs. Polar-directed CMEs remain relatively understudied despite their potential influence on high-latitude magnetospheric and ionospheric systems. This work investigates the occurrence, characteristics, and geoeffectiveness of polar-directed CMEs using coronagraph observations, solar wind measurements, and geomagnetic indices. Event catalogs are analyzed to determine their frequency, kinematic properties, and magnetic configurations, with special emphasis on their interaction with Earth’s magnetosphere at high latitudes. Preliminary findings suggest that while polar CMEs are less frequent, their trajectories and magnetic orientations can still drive significant disturbances, including localized geomagnetic storms and auroral enhancements. Understanding their contribution is essential for improving space weather prediction models, particularly for polar orbiting satellites, aviation, and communication systems. This study aims to bridge a knowledge gap by highlighting the importance of high-latitude CME research in global space weather dynamics.