On the Acceleration of Pulsar Timing computations using Normalising Flows and Parallelisation

The paper introduces POCOMC, a Normalising Flow-based sampling technique to speed up computationally intensive Pulsar Timing Array (PTA) analyses. It transforms complex likelihood landscapes into simpler distributions, significantly reducing runtime compared to traditional methods like PTMCMCSAMPLER. POCOMC is best for single-node or Single-Pulsar Noise Analysis (SPNA), while parallel methods like PBILBY PTA are superior for large ensemble studies.

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