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astro-ph.CO2026
Euclid: The linear-construction covariance and cosmology
V. Lindholm, E. Sihvola, J. Valiviita +137
We study the properties of galaxy cluster 2-point correlation function covariance matrices estimated using the linear-construction (LC) method, which is computationally up to 20 ti…
astro-ph.CO2026
CNN+FoF: application of deep learning to the identification of dark matter haloes
Soumadeep Maiti, Carlos M. Correa, Andrea Fiorilli +4
We present a deep-learning-based approach for identifying dark matter haloes in cosmological N-body simulations. Our framework consists of a volumetric Convolutional Neural Network…