530 citations · 3k across the 63 of their papers we have counts for
Showing astro-ph.IMShow all
3 papers · 1 filter
astro-ph.IM2020★ 55 cited
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…
astro-ph.IM2017★ 124 cited
Exploring Cosmic Origins with CORE: Survey requirements and mission design
J. Delabrouille, P. de Bernardis, F. R. Bouchet +200
Future observations of cosmic microwave background (CMB) polarisation have the potential to answer some of the most fundamental questions of modern physics and cosmology. In this p…
astro-ph.IM2015★ 10 cited
Improving Planck calibration by including frequency-dependent relativistic corrections
Miguel Quartin, Alessio Notari
The Planck satellite detectors are calibrated in the 2015 release using the "orbital dipole", which is the time-dependent dipole generated by the Doppler effect due to the motion o…