Séminaire Doctoral / Seminar PhD |
| « Catalog-free modeling of galaxy types in deep images: Massive dimensional reduction with neural networks » |
|
Florian Livet |
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Understanding how the galaxy have evolved over time is a key to write the
history of the Universe. We observe a large variety of galaxies with different colors, shapes and sizes. Each population of galaxy (elliptical, spiral, ...) have evolved differently and the density of each population has changed with redshift. During this presentation, I will introduce a new method to study them by fitting a neural network. This method does not require catalogs nor binning to study the panchromatic deep fields images. I will present the 'luminosity functions' tool to model the density of galaxies per magnitude and per volume of the Universe. I will also show the recent results we obtained in constraining the density of the elliptical and spiral populations using the Canada-France-Hawaii Telescope Legacy Survey. |
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vendredi 26 février 2021 - 16:00 Webinaire, Institut d'Astrophysique |
| Page web du séminaire / Seminar's webpage |