6 datasets found

A dataset used to train and test the neural network classifiers.

A dataset used to train and test the neural network classifiers.

The dataset used in this paper is a collection of 1824 simulated rotating core collapse gravitational wave signals.

A dataset of synthetic data generated for gravitational wave detection, consisting of 400,000 noise samples and 64,000 signal samples.

The dataset contains 7,500 samples (2,500 samples from each class) of length 1,024 and has a sampling rate of 4,096 Hz.

Simulating realistic time-domain observations of gravitational waves (GWs) and other events of interest in GW detectors, such as transient noise bursts called glitches, can help...