A neural-network-based simulation inference method improves 3σ detection probability of gravitational-wave background anisotropies by 90-200% over Gaussian frequentist searches by learning non-Gaussian structure in pulsar timing residuals.
Prospects and limitations of PTAs anisotropy searches — the frequentist case,
2 Pith papers cite this work. Polarity classification is still indexing.
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A new phase-coherent mapping framework for pulsar timing arrays that preserves the complete complex polarization state of the gravitational-wave sky in compact maps usable for multiple analyses.
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A comprehensive framework for phase-coherent mapping of the gravitational-wave sky with pulsar timing arrays
A new phase-coherent mapping framework for pulsar timing arrays that preserves the complete complex polarization state of the gravitational-wave sky in compact maps usable for multiple analyses.