From the 3 of 130 papers with an AI index.
34 citations
- Institut d'Estudis Espacials de CatalunyaES74 papers
- National Institute for AstrophysicsIT72 papers
- Institute of Space SciencesES71 papers
- Institució Catalana de Recerca i Estudis AvançatsES69 papers
- University College LondonGB69 papers
- Osservatorio Astronomico di PadovaIT68 papers
- Institute for High Energy PhysicsES67 papers
- Sorbonne UniversitéFR67 papers
- Astronomical Observatory of RomeIT66 papers
- Centre National de la Recherche ScientifiqueFR66 papers
- Institute for Space Astrophysics and PlanetologyIT64 papers
- Université Paris-SaclayFR62 papers
7 papers · 1 filter
MORFEO control strategy
Guido Agapito, Lorenzo Busoni, Cédric Plantet +7
The ESO Extremely Large Telescope (ELT) will offer unprecedented sensitivity and resolution in the near-infrared, marking a new era for ground-based astronomy. Among its key imagin…
The SOXS Spectrograph Instrument Control Software
Davide Ricci, Bernardo Salasnich, Andrea Baruffolo +51
SOXS (Son Of X-Shooter) is a new spectrograph for the European Southern Observatory (ESO), recently installed at the New Technology Telescope (NTT) at the La Silla Observatory, Chi…
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
Euclid Collaboration, S. H. Vincken, K. Rojas +302
We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…
Bayesian Component Separation for DESI LAE Automated Spectroscopic Redshifts and Photometric Targeting
Ana SofÃa M. Uzsoy, Andrew K. Saydjari, Arjun Dey +37
Lyman Alpha Emitters (LAEs) are valuable high-redshift cosmological probes traditionally identified using specialized narrow-band photometric surveys. In ground-based spectroscopy,…
Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder
C. Nicolaou, R. P. Nathan, O. Lahav +43
The tens of millions of spectra being captured by the Dark Energy Spectroscopic Instrument (DESI) provide tremendous discovery potential. In this work we show how Machine Learning,…
Multivariate time-series forecasting of ASTRI-Horn monitoring data: A Normal Behavior Model
Federico Incardona, Alessandro Costa, Farida Farsian +8
This study presents a Normal Behavior Model (NBM) developed to forecast monitoring time-series data from the ASTRI-Horn Cherenkov telescope under normal operating conditions. The a…