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On-sky commissioning and technical performance of Proto-NUX at Pic du Midi
Rasjied Sloot, Rudy Wijnands, Steven Bloemen +3
The Near-Ultraviolet eXplorer (NUX) is a proposed ground-based observing facility designed to expand near-ultraviolet (NUV) astronomy by enabling observations in the 300--350 nm ra…
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…
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…
AutoSourceID-Light. Fast Optical Source Localization via U-Net and Laplacian of Gaussian
Fiorenzo Stoppa, Paul Vreeswijk, Steven Bloemen +9
. With the ever-increasing survey speed of optical wide-field telescopes and the importance of discovering transients when they are still young, rapid and reliable s…
MeerCRAB: MeerLICHT Classification of Real and Bogus Transients using Deep Learning
Zafiirah Hosenie, Steven Bloemen, Paul Groot +13
Astronomers require efficient automated detection and classification pipelines when conducting large-scale surveys of the (optical) sky for variable and transient sources. Such pip…
Fast in-database cross-matching of high-cadence, high-density source lists with an up-to-date sky model
Bart Scheers, Steven Bloemen, Hannes Mühleisen +4
Coming high-cadence wide-field optical telescopes will image hundreds of thousands of sources per minute. Besides inspecting the near real-time data streams for transient and varia…
Convolutional Neural Networks for Transient Candidate Vetting in Large-Scale Surveys
Fabian Gieseke, Steven Bloemen, Cas van den Bogaard +9
Current synoptic sky surveys monitor large areas of the sky to find variable and transient astronomical sources. As the number of detections per night at a single telescope easily…
PLC-controlled cryostats for the BlackGEM and MeerLICHT detectors
Gert Raskin, Johan Morren, Wim Pessemier +5
BlackGEM (BG) is an array of telescopes, currently under development at the Radboud University Nijmegen and at NOVA. It targets the detection of the optical counterparts of gravita…
Tiling strategies for optical follow-up of gravitational wave triggers by wide field of view telescopes
Shaon Ghosh, Steven Bloemen, Gijs Nelemans +2
Binary neutron stars are among the most promising candidates for joint gravitational-wave and electromagnetic astronomy. The goal of this work is to investigate the strategy of usi…
Narrow-band search of continuous gravitational-wave signals from Crab and Vela pulsars in Virgo VSR4 data
The LIGO Scientific Collaboration, the Virgo Collaboration, J. Aasi +894
In this paper we present the results of a coherent narrow-band search for continuous gravitational-wave signals from the Crab and Vela pulsars conducted on Virgo VSR4 data. In orde…
Large Frame-Transfer Detectors for the MAIA Imager
Jesús Pérez Padilla, Simon Tulloch, Gert Raskin +4
MAIA, the Mercator Advanced Imager for Asteroseismology, is a new fast-cadence 3-channel photometric instrument. It is installed on the 1.2-m Mercator telescope at the Roque de Los…
MAIA, a three-channel imager for asteroseismology: instrument design
Gert Raskin, Steven Bloemen, Johan Morren +8
MAIA, an acronym for Mercator Advanced Imager for Asteroseismology, is a three-channel instrument that targets fast-cadence three-colour photometry, installed at the 1.2-m Mercator…