18 citations · 37 across the 6 of their papers we have counts for
4 papers · 1 filter
Enhancing CMB map reconstruction and power spectrum estimation with convolutional neural networks
Belén Costanza, Claudia G. Scóccola, Matías Zaldarriaga
The accurate reconstruction of Cosmic Microwave Background (CMB) maps and the measurement of its power spectrum are crucial for studying the early universe. In this paper, we imple…
Tensions in cosmology: a discussion of statistical tools to determine inconsistencies
Matías Leizerovich, Susana J. Landau, Claudia G. Scóccola
We present a comprehensive analysis of statistical tools for evaluating tensions in cosmological parameter estimates arising from distinct datasets. Focusing on the unresolved Hubb…
Measuring the CMB primordial B-modes with Bolometric Interferometry
A. Mennella, P. Ade, A. Almela +111
The Q&U Bolometric Interferometer for Cosmology (QUBIC) is the first bolometric interferometer designed to measure the primordial B-mode polarization of the Cosmic Microwave Backgr…
Faster Bayesian inference with neural network bundles and new results for models
Augusto T. Chantada, Susana J. Landau, Pavlos Protopapas +2
In the last few years, there has been significant progress in the development of machine learning methods tailored to astrophysics and cosmology. We have recently applied one of th…