The detection of gravitational waves has inaugurated the era of gravitational astronomy and
opened new avenues for the multimessenger study of cosmic sources. Thanks to their …

Context. The Event Horizon Telescope recently observed the first shadow of a black hole.
Images like this can potentially be used to test or constrain theories of gravity and deepen …

Machine learning has been widely applied to clearly defined problems of astronomy and
astrophysics. However, deep learning and its conceptual differences to classical machine …

Among the astrophysical sources in the Advanced Laser Interferometer Gravitational-Wave
Observatory (LIGO) and Advanced Virgo detectors' frequency band are rotating non …

With the development of a series of Galaxy sky surveys in recent years, the observations
increased rapidly, which makes the research of machine learning methods for galaxy image …

Galaxy morphology characterisation is an important area of study, as the type and formation
of galaxies offer insights into the origin and evolution of the universe. Owing to the increased …

The Galaxy Zoo project is a crowd-sourced astronomy galaxy classification endeavour
whose results can have significant benefits to astronomers. The project has evolved into …

The numerous strategies for the automated morphological categorization of galaxies, which
uses a variety of supervised machine learning techniques, have not been well examined or …

This research endeavors to transform the field of galaxy classification by harnessing the
capabilities of machine learning, specifically through a convolutional neural network (CNN) …

The expected volume of data from the third-generation gravitational waves (GWs) Einstein
Telescope (ET) detector would make traditional GWs search methods such as match filtering …