3 citations · 3 across the 3 of their papers we have counts for
3 papers
astro-ph.GA2026
Pristine composition or size evolution: Can current dust models reproduce emissivities observed in nearby protostars?
M. -A. Carpine, A. Maury, N. Ysard +1
Interstellar dust is a crucial asset in many astronomical observations. Characterising grains present in the dense gas and in star-forming environments is also key to constrain the…
astro-ph.GA2025★ 3 cited
From small dust to micron-sized aggregates: the influence of structure and composition on the dust optical properties
M. -A. Carpine, N. Ysard, A. Maury +1
Models of astrophysical dust are key to understand several physical processes, from the role of dust grains as cooling agents in the ISM to their evolution in dense circumstellar d…
astro-ph.EP2024
Panopticon: a novel deep learning model to detect single transit events with no prior data filtering in PLATO light curves
H. G. Vivien, M. Deleuil, N. Jannsen +4
To prepare for the analyses of the future PLATO light curves, we develop a deep learning model, Panopticon, to detect transits in high precision photometric light curves. Since PLA…