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Roberto Ruiz de Austri (IFIC, Valencia)6/3/25, 5:05 PMDM Indirect Detection and AstrophysicsInvited Talk
Deep learning has quickly become a valuable tool in the quest to understand dark matter, helping researchers explore faint signals across a range of experiments—from high-energy colliders to direct and indirect searches. By sifting through vast datasets and uncovering subtle patterns, these techniques can reveal signs of dark matter that traditional approaches might miss. This talk provides a ...
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María Benito (Tartu observatory, University of Tartu)6/3/25, 5:40 PMGalaxies, Dynamics and CosmologyContributed Talk
Detecting dark (matter) subhalos on sub-galactic scales could offer critical insights into the nature of DM, given the limited observational constraints on the low-mass end of the subhalo mass function. In this talk, we will explore a novel method for finding dark subhalos by detecting stellar wakes —perturbations in the positions and velocities of stars caused by interactions with orbiting...
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Fabio Iocco (Università di Napoli "Federico II")6/3/25, 6:00 PMGalaxies, Dynamics and CosmologyContributed Talk
In the first part of this talk, I will discuss the impact of Gaia data on determining the dark matter distribution of our host galaxy, the Milky Way, presenting state-of-the-art results based on the latest data within a framework that has been tested over the past decade.
In the second part, I will introduce a recently developed machine learning method designed to infer the dark matter...
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Pranjal Ralegankar (sissa)6/3/25, 6:20 PMGalaxies, Dynamics and CosmologyPoster + Lightning Talk
Primordial magnetic fields (PMFs) offer a simple explanation for the origin of galactic magnetic fields as well as of the purportedly detected magnetic fields in cosmic voids. In this talk, I show how PMFs can enhance the abundance of dark matter minihalos of masses between 10^3-10^-11 solar masses. I conclude by arguing that search for dark matter minihalos can potentially provide the most...
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