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Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

Oct 10, 2024 | 2021, diiP, Masters Internship, Physics/Astronomy

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #gravitational wave#deep learning  Project SummaryThe direct observation of gravitational waves (GW) by the LIGO and Virgo detectors is one of the breakthrough...
Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

Artificial Intelligence for source deblending in the next generation of astrophysical big data imaging surveys – Combining Euclid and LSST

Oct 10, 2024 | 2021, diiP, Masters Internship, Physics/Astronomy

2021Masters Projects@Physics and Astronomy +Computer Science+Mathematics/Statistics+Physics/Astronomy #cosmology#astrophysics#probabilistic deep learning#image processing  Project SummaryAstronomy, as many other disciplines, is entering a big data era. The next...
Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

Compact representations to detect gravitational waves from extreme-mass ratio inspirals

Oct 10, 2024 | 2024, diiP, Masters Internship, Physics/Astronomy

2024 Master’s Projects@Physics/Astronomy #Gravitational waves#extreme-mass ratio inspirals#data representations#neural networks  Project Summary Extreme Mass Ratio Inspirals (EMRIs), detectable only by the future space-based detector LISA, provide a unique...
Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

Investigating Diffusion Models for Astronomical Image Deconvolution – boosting the synergy between Euclid and LSST

Oct 10, 2024 | 2024, diiP, Masters Internship, Physics/Astronomy

2024 Master’s Projects@Physics/Astronomy #diffusion models #image processing #deconvolution   🎉This project has been accepted at the ML4Physics workshop at NeurIPS! Project Summary This project tackles the problem of deconvolving astronomical images to...
Malvasia – MAchine Learning to VAlue Single Interferometer Analysis

Accelerate Discoveries (boosting) Astroparticle Physics (analysis) Techniques – ADAPT

Oct 10, 2024 | 2024, diiP, Physics/Astronomy, Strategic projects

2024 Strategic Projects @Physics/Astronomy #Self-supervised Learning#Semi-supervised Learning#Sensitivity enhancement#Data Analysis based on AI Project Summary The aim of the ADAPT project was to develop a novel analysis strategy for the KM3NeT astroparticle physics...
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