171 citations · 988 across the 25 of their papers we have counts for
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astro-ph.IM2026
Sample-efficient non-Gaussian noise reduction in gravitational wave data via learnable wavelets
Arush Pimpalkar, Digvijay Wadekar, Mark Ho-Yeuk Cheung +1
We introduce , a wavelet-based neural network architecture to identify and reduce non-Gaussian noise in gravitational wave data. Traditionally, convolutional n…
astro-ph.IM2024
wolensing: A Python package for computing the amplification factor for gravitational waves with wave-optics effects
Simon M. C. Yeung, Mark H. Y. Cheung, Miguel Zumalacarregui +1
The wolensing Python package offers a solution for gravitational wave lensing computations within the full wave-optics regime. This tool is primarily designed to calculate the grav…