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David Pontin (University of Newcastle)09/12/2026, 14:15AIP | Solar Terrestrial and Space Physics (STSP)Contributed Oral
One of the leading mechanisms for explaining the high temperature of the Sunโs corona is based on Parkerโs conjecture that a sufficiently complex field will develop near-singular current sheets, leading to the onset of rapid magnetic reconnection and energy conversion. This topological dissipation mechanism remains a matter of debate, and is a key ingredient in the nanoflare model for coronal...
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Abhinav Govindan Iyer (The University of Sydney)09/12/2026, 14:30AIP | Solar Terrestrial and Space Physics (STSP)Contributed Oral
Nonlinear force-free field (NLFFF) models are widely used to investigate coronal magnetic field structure in solar active regions, but methods to validate them remain limited. Here, we use Gaussian separation, recently applied to solar vector magnetogram data, to assess the accuracy of NLFFF models constructed with two methods: optimization and the current-field iteration (CFIT) implementation...
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Julie Currie (RMIT University)09/12/2026, 14:45AIP | Solar Terrestrial and Space Physics (STSP)Contributed Oral
The plasma dynamics in near-Earth space are heavily influenced by the solar wind and associated interplanetary magnetic field (IMF). Physics-based models are widely used to investigate the dynamics of the ionosphere-thermosphere system and the response to solar wind forcing. Since the high latitude and polar regions are strongly coupled to interplanetary space, these regions act as a boundary...
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Prof. Michael Wheatland (University of Sydney)09/12/2026, 15:00AIP | Solar Terrestrial and Space Physics (STSP)Contributed Oral
We develop a Convolutional Neural Network (CNN)-based framework to improve solar flare identification from soft X-ray (SXR) observations and investigate flare size-waiting-time correlations, where by size we mean SXR peak flux. We study the statistical properties of solar flares both globally (i.e., across the solar disk) and locally (i.e., within individual active regions, ARs) and compare...
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260. Probabilistic Prediction of Solar Eruptions via Ensemble Modelling of Deterministic SimulationsKyriakos Tapinou (University of Sydney - SIFA)09/12/2026, 15:15AIP | Solar Terrestrial and Space Physics (STSP)Contributed Oral
Predicting solar eruptions from physics-based simulations is a challenging uncertainty-quantification problem: the governing magnetohydrodynamic (MHD) evolution is nonlinear, the coronal magnetic field is poorly constrained by observations, and the various simulation codes available use distinct numerical, physical, and boundary-condition assumptions. In this talk I will present statistical...
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