2 citations · 2 across the 3 of their papers we have counts for
4 papers
Electric Potential Patterns Forecasting in the Southern Hemisphere with Deep Learning Techniques
Francesco Pio Ramunno, Simone Mestici, Igino Coco +5
Space weather disturbances driven by the solar wind can degrade satellite navigation, disrupt radio communications, and threaten power infrastructure, making accurate forecasting o…
Policy-Based Radiative Transfer: Solving the -Level Atom Non-LTE Problem using Soft Actor-Critic Reinforcement Learning
Brandon Panos, Ivan Milic
We present a novel reinforcement learning (RL) approach for solving the classical 2-level atom non-LTE radiative transfer problem by framing it as a control task in which an RL age…
Enhancing Image Resolution of Solar Magnetograms: A Latent Diffusion Model Approach
Francesco Pio Ramunno, Paolo Massa, Vitaliy Kinakh +3
The spatial properties of the solar magnetic field are crucial to decoding the physical processes in the solar interior and their interplanetary effects. However, observations from…
A machine learning approach for computing solar flare locations in X-rays on-board Solar Orbiter/STIX
Paolo Massa, Simon Felix, László István Etesi +7
The Spectrometer/Telescope for Imaging X-rays (STIX) on-board the ESA Solar Orbiter mission retrieves the coordinates of solar flare locations by means of a specific sub-collimator…