Since the early stages of operation of ground-based gravitational-wave interferometers,
careful monitoring of these detectors has been an important component of their successful …

The Omicron software is a tool developed to perform a multi-resolution time–frequency
analysis of data from gravitational-wave detectors: the LIGO, Virgo, and KAGRA detectors …

In the last few years, machine learning techniques, in particular convolutional neural
networks, have been investigated as a method to replace or complement traditional matched …

The observation of gravitational waves is hindered by the presence of transient noise
(glitches). We study data from the third observing run of the Advanced LIGO detectors, and …

Understanding the noise in gravitational-wave detectors is central to detecting and
interpreting gravitational-wave signals. Glitches are transient, non-Gaussian noise features …

Primordial Black Holes (PBH) can form in the early universe and might comprise a
significant fraction of the dark matter. Interestingly, they are accompanied by the generation …

Background: Artificial intelligence (AI), with its vast capabilities, has become an integral part
of our daily interactions, particularly with the rise of sophisticated models like Large …

Transient non-Gaussian noise in gravitational wave detectors, commonly referred to as
glitches, pose challenges for detection and inference of the astrophysical properties of …

The field of citizen science involves the participation of citizens across different stages of a
scientific project; within this field there is currently a rapid expansion of the integration of …

Individuals vary widely in how they categorize novel and ambiguous phenomena. This
individual variation has led influential theories in cognitive and social science to suggest that …