1.2k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Trieste Astronomical ObservatoryIT826 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TriesteIT688 papers
- Scuola Internazionale Superiore di Studi AvanzatiIT606 papers
- University of TriesteIT516 papers
- Centre National de la Recherche ScientifiqueFR476 papers
- Ludwig-Maximilians-Universität MünchenDE400 papers
- Instituto de Astrofísica de CanariasES360 papers
- Max Planck Institute for Extraterrestrial PhysicsDE350 papers
- University College LondonGB348 papers
- Institute for High Energy PhysicsES346 papers
- Universidad de La LagunaES335 papers
- Institut d'Astrophysique de ParisFR332 papers
6 papers · 2 filters
The miniJPAS survey quasar selection IV: Classification and redshift estimation with SQUEzE
Ignasi Pérez-Ràfols, L. Raul Abramo, Ginés Martínez-Solaeche +24
We present a list of quasar candidates including photometric redshift estimates from the miniJPAS Data Release constructed using SQUEzE. This work is based on machine-learning clas…
AutoSourceID-Classifier. Star-Galaxy Classification using a Convolutional Neural Network with Spatial Information
F. Stoppa, S. Bhattacharyya, R. Ruiz de Austri +10
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from catalogues, a process susceptible to introducing inaccuracies, thereby potentially jeo…
Receiver design for the REACH global 21-cm signal experiment
Ian L. V. Roque, Nima Razavi-Ghods, Steven H. Carey +35
We detail the the REACH radiometric system designed to enable measurements of the 21-cm neutral hydrogen line. Included is the radiometer architecture and end-to-end system simulat…
AutoSourceID-FeatureExtractor. Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation
F. Stoppa, R. Ruiz de Austri, P. Vreeswijk +9
Aims. In astronomy, machine learning has been successful in various tasks such as source localisation, classification, anomaly detection, and segmentation. However, feature regress…
The Simons Observatory: Beam characterization for the Small Aperture Telescopes
Nadia Dachlythra, Adriaan J. Duivenvoorden, Jon E. Gudmundsson +27
We use time-domain simulations of Jupiter observations to test and develop a beam reconstruction pipeline for the Simons Observatory Small Aperture Telescopes. The method relies on…
The ESO's Extremely Large Telescope Working Groups
Paolo Padovani, Michele Cirasuolo, Remco van der Burg +82
Since 2005 ESO has been working with its community and industry to develop an extremely large optical/infrared telescope. ESO's Extremely Large Telescope, or ELT for short, is a re…