da Daniela Sicilia | Mar 8, 2021 | Tirocini
ML / DL for Astrophysics @ SKA and NEANIAS Machine Learning and Deep Learning provide advanced algorithms and solutions for detecting structures in astronomical surveys. The internship aims to develop cutting-edge techniques to perform automatic classification...
da Daniela Sicilia | Mar 8, 2021 | Tirocini
Automated source finding in astronomical maps @ SKA and NEANIAS CAESAR (Compact and Extended Source Automated Recognition) is a tool for automated source finding in astronomical maps. It allows to extract and parametrize both compact and extended sources from...
da Daniela Sicilia | Mar 8, 2021 | Tirocini
ViaLactea Visual Analytics @ NEANIAS The ViaLactea Service is aimed at exploiting astrophysical surveys of the Galactic Plane to study the star formation process of the Milky Way. The ViaLactea Visual Analytic (VLVA) tool combines different types of visualization to...
da Daniela Sicilia | Mar 8, 2021 | Tirocini
Conda-python software development for diffuse nebulae photometry, optimized for the next generation telescope Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) LSST (https://www.lsst.org/about) is an astronomical observatory currently under construction...
da Daniela Sicilia | Feb 25, 2021 | Tirocini
Analisi d’insieme dell’attività stellare di un campione di stelle selezionate per la ricerca di pianeti extrasolari L’interesse nell’ambito dei pianeti extrasolari è in rapida ascesa in quanto la strumentazione attuale permette di scoprire...
