International Conference on Machine Learning for Astrophysics 2nd Ed. - ML4ASTRO2

Session

Solar Physics / Exoplanets

12 Jul 2024, 14:30

Aula Magna (Catania)

Conveners

Solar Physics / Exoplanets

• Alessio Magro

205. Advancing Solar Flare Forecasting: Predicting Solar Flares via a Deep Learning Approach Using Time Series of SDO/HMI Line-of-Sight Magnetograms

Elizabeth Doria Rosales (Università di Trento / Università della Calabria)

12/07/2024, 14:30

Oral Presentation

Solar flares, sudden bursts of electromagnetic energy originating from magnetically active regions on the solar surface, pose significant risks to satellite infrastructure, communication systems, and power grids. Predicting these events is crucial for both physicists and governmental agencies. Recent observations and research have revealed that solar flares are more complex phenomena than...

206. Bayes in Space: A Bayesian Deep Learning approach for coronal temperature estimation

Nikita Balodhi (Northumbria University, Newcastle)

12/07/2024, 14:50

Oral Presentation

The outermost layer of the Sun - the Corona, is a region of intense activity and showcases a range of solar phenomena affecting the thermal distribution of its constituting plasma. The study of the temperature distribution across the corona is essential in learning about different heating mechanisms that lead to the strikingly high temperatures reached by the solar corona. The temperature...

207. Reducing stellar noise in exoplanet observables using machine learning

Manuel Perger (Institut de Ciències de l’Espai (ICE, CSIC) & Institut d’Estudis Espacials de Catalunya (IEEC))

12/07/2024, 15:10

Oral Presentation

The quest for life beyond the Solar System is one of the most thrilling endeavors of our time. Most of the 5600 exoplanets already detected have not been directly observed; instead, we heavily rely on indirect methods such as the transit or radial velocity technique. These methods are already sensitive to discovering Earth twins or detecting so-called biomarkers during a transit in the...

208. Applications of autoencoders to exoplanetary transit light curves

Lucy Smith (University of Hull)

12/07/2024, 15:30

Oral Presentation

Identifying transits in light curves has become a major method of detecting exoplanets, and many deep learning classification models have been applied to exoplanetary transit data. We have chosen to explore the potential of deep learning generative models. We consider the ability of a simple autoencoder and convolutional autoencoder to generate light curves of transiting exoplanets, with the...