35 citations · 70 across the 3 of their papers we have counts for
4 papers
Fast emulation of cosmological density fields based on dimensionality reduction and supervised machine-learning
Miguel Conceição, Alberto Krone-Martins, Antonio da Silva +1
N-body simulations are the most powerful method to study the non-linear evolution of large-scale structure. However, they require large amounts of computational resources, making u…
Sensitivity of strong lensing observations to dark matter substructure: a case study with Euclid
Conor M. O'Riordan, Giulia Despali, Simona Vegetti +2
We introduce a machine learning method for estimating the sensitivity of strong lens observations to dark matter subhaloes in the lens. Our training data include elliptical power-l…
LCDM halo substructure properties revealed with high resolution and large volume cosmological simulations
Ángeles Moliné, Miguel A. Sánchez-Conde, Alejandra Aguirre-Santaella +8
We investigate the structural properties, distribution and abundance of LCDM dark matter subhaloes using the Phi-4096 and Uchuu suite of N-body cosmological simulations. Thanks to…
Properties of subhalos in the interacting dark matter scenario
Ángeles Moliné, Jascha A. Schewtschenko, Miguel A. Sánchez-Conde +3
One possible and natural derivation from the collisionless cold dark matter (CDM) standard cosmological framework is the assumption of the existence of interactions between dark ma…