Beyond Accretion Limits: The Rise of Pulsating Gems
The discovery of several ultraluminous X-ray sources exhibiting fast and rapidly evolving X-ray pulsations unequivocally associates these sources with accreting neutron stars …
gianluca-israel
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eDGL: a multimodal neural network for the study of gravitational lenses
Talk on classification of gravitational lenses and gravitationally-lensed supernovae
The restless population of bright X-ray sources of NGC 3621
We report on the multi-year evolution of the population of X-ray sources in the nuclear region of NGC 3621 based on Chandra, XMM-Newton, and Swift observations. Among these, two …
andrea-sacchi
eDGL: a multimodal neural network for the study of gravitational lenses
Poster on classification of gravitational lenses and gravitationally-lensed supernovae
DeepGraviLens: a multi-modal architecture for classifying gravitational lensing data
Gravitational lensing is the relativistic effect generated by massive bodies, which bend the space-time surrounding them. It is a deeply investigated topic in astrophysics and …
Artificial Intelligence for Astrophysics
Talk on evolutionary algorithms for finding PULXs pulsations.
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields.
The presence of non-zero helicity in intergalactic magnetic fields is a smoking gun for their primordial origin since they have to be generated by processes that break CP …
INAF
I collaborate with INAF’s Osservatorio Astronomico di Roma on astrophysical discovery, rare-source analysis, and multimodal methods for scientific data interpretation.
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AstroAI
I collaborate with AstroAI at the Center for Astrophysics | Harvard & Smithsonian, where research at the intersection of AI and astrophysics advances multiscale scientific …
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1 min read
NTNU
My work at NTNU reflects my training in machine learning, signal processing, and computational science. The collaboration shaped my interdisciplinary background and strengthened my …
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1 min read