114 citations · 331 across the 10 of their papers we have counts for
5 papers · 1 filter
CosmoHub: Interactive exploration and distribution of astronomical data on Hadoop
Pau Tallada, Jorge Carretero, Jordi Casals +13
We present CosmoHub (https://cosmohub.pic.es), a web application based on Hadoop to perform interactive exploration and distribution of massive cosmological datasets. Recent Cosmol…
The PAU Survey: Background light estimation with deep learning techniques
Laura Cabayol-Garcia, Martin B. Eriksen, Àlex Alarcón +17
In any imaging survey, measuring accurately the astronomical background light is crucial to obtain good photometry. This paper introduces BKGnet, a deep neural network to predict t…
The Physics of the Accelerating Universe Camera
Cristobal Padilla, Francisco J. Castander, Alex Alarcon +30
The PAU (Physics of the Accelerating Universe) Survey goal is to obtain photometric redshifts (photo-z) and Spectral Energy Distribution (SED) of astronomical objects with a resolu…
The PAU Survey: Operation and orchestration of multi-band survey data
Nadia Tonello, Pau Tallada, Santiago Serrano +14
The Physics of the Accelerating Universe (PAU) Survey is an international project for the study of cosmological parameters associated with Dark Energy. PAU's 18-CCD camera (PAUCam)…
The PAU Survey: star-galaxy classification with multi narrow-band data
Laura Cabayol, Ignacio Sevilla-Noarbe, Enrique Fernández +18
Classification of stars and galaxies is a well-known astronomical problem that has been treated using different approaches, most of them relying on morphological information. In th…