3 papers
astro-ph.IM2025
Robust and scalable simulation-based inference for gravitational wave signals with gaps
Ruiting Mao, Jeong Eun Lee, Matthew C. Edwards
The Laser Interferometer Space Antenna (LISA) data stream will inevitably contain gaps due to maintenance and environmental disturbances, introducing nonstationarities and spectral…
gr-qc2024
A novel stacked hybrid autoencoder for imputing LISA data gaps
Ruiting Mao, Jeong Eun Lee, Matthew C. Edwards
The Laser Interferometer Space Antenna (LISA) data stream will contain gaps with missing or unusable data due to antenna repointing, orbital corrections, instrument malfunctions, a…
gr-qc2023
Calibrating approximate Bayesian credible intervals of gravitational-wave parameters
Ruiting Mao, Jeong Eun Lee, Ollie Burke +3
Approximations are commonly employed in realistic applications of scientific Bayesian inference, often due to convenience if not necessity. In the field of gravitational-wave (GW)…