AutoSourceID-Classifier-Star-galaxy classification using a convolutional neural network with spatial information

F Stoppa, S Bhattacharyya, RR de Austri… - Astronomy & …, 2023 - aanda.org
Aims. Traditional star-galaxy classification techniques often rely on feature estimation from
catalogs, a process susceptible to introducing inaccuracies, thereby potentially jeopardizing …

SAINT (Small Aperture Imaging Network Telescope)—A Wide-Field Telescope Complex for Detecting and Studying Optical Transients at Times from Milliseconds to …

G Beskin, A Biryukov, A Gutaev, S Karpov… - Photonics, 2023 - mdpi.com
In this paper, we present a project of a multi-channel wide-field optical sky monitoring
system with high temporal resolution—Small Aperture Imaging Network Telescope (SAINT) …

A nearby polluted white dwarf with a 6.2 h spin period

J Farihi, A Robert, N Walters - Monthly Notices of the Royal …, 2024 - academic.oup.com
This letter reports the first detection of a periodic light curve whose modulation is
unambiguously due to rotation in a polluted white dwarf. TESS observations of WD 2138 …

General relativistic pulsations of ultra-massive ZZ Ceti stars

AH Córsico, SR Boston, LG Althaus… - Monthly Notices of …, 2023 - academic.oup.com
Ultra-massive white dwarf stars are currently being discovered at a considerable rate, thanks
to surveys such as the Gaia space mission. These dense and compact stellar remnants …

FINKER: Frequency Identification through Nonparametric KErnel Regression in astronomical time series

F Stoppa, C Johnston, E Cator, G Nelemans… - Astronomy & …, 2024 - aanda.org
Context. Optimal frequency identification in astronomical datasets is crucial for variable star
studies, exoplanet detection, and astero-seismology. Traditional period-finding methods …

AutoSourceID-FeatureExtractor-Optical image analysis using a two-step mean variance estimation network for feature estimation and uncertainty characterisation

F Stoppa, RR de Austri, P Vreeswijk… - Astronomy & …, 2023 - aanda.org
Aims. In astronomy, machine learning has been successful in various tasks such as source
localisation, classification, anomaly detection, and segmentation. However, feature …

A Low Metallicity Massive Contact Binary Star System Candidate in WLM identified by Hubble and James Webb Space Telescope imaging

M Gull, DR Weisz, K El-Badry, J Henneco… - arXiv preprint arXiv …, 2024 - arxiv.org
We present archival HST and JWST ultraviolet through near infrared time series photometric
observations of a massive minimal-contact binary candidate in the metal-poor galaxy WLM …

The Near-Ultraviolet eXplorer (NUX): a ground-based wide-field near-UV telescope to search for near-UV transients

R Wijnands, S Bloemen, R Sloot… - Ground-based and …, 2024 - spiedigitallibrary.org
We present the Near-Ultraviolet eXplorer (NUX), which will consist out of 4 small (36cm
diameter) ground-based telescopes that are optimized for the shortest wavelengths that are …

Introduction to the 7-Dimensional Telescope: commissioning procedures and data characteristics

JH Kim, M Im, H Lee, SW Chang… - Ground-based and …, 2024 - spiedigitallibrary.org
As the main observational facility of Center for the Gravitational-Wave Universe at Seoul
National University, the 7-Dimensional Telescope (7DT) is a multi-telescope system …

The gravitational-wave optical transient observer (GOTO)

MJ Dyer, K Ackley, F Jiménez-Ibarra… - Ground-based and …, 2024 - spiedigitallibrary.org
The Gravitational-wave Optical Transient Observer (GOTO) is a project dedicated to
identifying optical counterparts to gravitational-wave detections using a network of …