Reconstruction of eccentric binary black hole gravitational wave signals using deep learning

Dataset of deep learning-based reconstruction of simulated binary black hole gravitational wave signals with non-zero eccentricity. The details of the deep learning models and studies conducted can be found in the following papers: 1. https://arxiv.org/abs/2403.01559 and 2. https://arxiv.org/abs/2406.06324.The data consists of 1 sec long whitened BBH injections ('Injection_signal') sampled at 2048 Hz, and their corresponding reconstructions ('Mean_reconstruction'), alongwith 50% ('Lower_50, Upper_50') and 90% ('Lower_90, Upper_90') C.I. of the reconstructions. The eccentricity values are labelled 'Eccentricity'. The masses and SNR of these signals are 30+30 solar mass and 12 respectively.