collaborators

9 papers

astro-ph.SR2024

RIS: Regularized Imaging Spectroscopy for STIX on-board Solar Orbiter

Anna Volpara, Alessandro Lupoli, Frank Filbir +3

Imaging spectroscopy, i.e., the generation of spatially resolved count spectra and of cubes of count maps at different energies, is one of the main goals of solar hard X-ray missio…

physics.space-ph2024

Forecasting Geoffective Events from Solar Wind Data and Evaluating the Most Predictive Features through Machine Learning Approaches

Sabrina Guastavino, Katsiaryna Bahamazava, Emma Perracchione +8

This study addresses the prediction of geomagnetic disturbances by exploiting machine learning techniques. Specifically, the Long-Short Term Memory recurrent neural network, which…

stat.ML2024

Greedy feature selection: Classifier-dependent feature selection via greedy methods

Fabiana Camattari, Sabrina Guastavino, Francesco Marchetti +2

The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature selection. In statistical learning, feat…

astro-ph.IM2024

Identifying synergies between VLBI and STIX imaging

Hendrik Müller, Paolo Massa, Alejandro Mus +2

Reconstructing an image from sparsely sampled Fourier data is an ill-posed inverse problem that occurs in a variety of subjects within science, including the data analysis for Very…

astro-ph.SR2024

AI-FLARES: Artificial Intelligence for the Analysis of Solar Flares Data

Michele Piana, Federico Benvenuto, Anna Maria Massone +6

AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica…

astro-ph.IM2023

Unbiased CLEAN for STIX in Solar Orbiter

Emma Perracchione, Fabiana Camattari, Anna Volpara +3

Aims: To formulate, implement, and validate a user-independent release of CLEAN for Fourier-based image reconstruction of hard X-rays flaring sources. Methods: CLEAN is an iterativ…