CORDIS Project
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The TraDE-DML project investigates dark matter's nature and interactions using advanced machine learning techniques on galaxy observations. By analyzing cosmic history, it aims to improve the understanding of dark matter dynamics and its role in galaxy formation.
We plan to answer two pivotal questions of modern astrophysics: the nature of dark matter and its interaction with baryonic processes.
Utilizing galaxy observations and cosmological hydrodynamical galaxy simulations across a redshift range of z = 0.3-2.5, we will examine 3-10 Gyr of cosmic history.
We propose to ""Trace the Dynamical Evolution of Dark Matter via Machine Learning""- TraDE-DML, that pioneers an advanced methodology for assessing the dynamical masses of galaxies, aiming for unprece…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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France, Strasbourg
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
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