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astro-ph.CO2026
Low-cost neural summaries for cosmological inference: an ensemble of convolutional neural networks trained on approximate simulations
Iñigo Sáez-Casares, Davide Bianchi, Matteo Calabrese +1
Machine learning can build near-optimal summary statistics for extracting cosmological information from the large-scale structure of the Universe. Training them, however, requires…
astro-ph.CO2020★ 98 cited
COSMOGRAIL XIX: Time delays in 18 strongly lensed quasars from 15 years of optical monitoring
M. Millon, F. Courbin, V. Bonvin +16
We present the results of 15 years of monitoring lensed quasars, which was conducted by the COSMOGRAIL programme at the Leonhard Euler 1.2m Swiss Telescope. The decade-long light c…