Customized chromatic noise models for 67 pulsars detect non-dispersive delays in 21 cases, alter achromatic noise inferences in 19, and enable solar wind density estimates over 1.5 cycles.
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5 Pith papers cite this work. Polarity classification is still indexing.
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Meta-learned LSTM with particle swarm optimization predicts pulsar timing residuals from 10% of data in new frequency domains on IPTA DR2.
Reports timing solutions and basic properties for 49 pulsars (18 new) from the AO327 survey, with emission feature notes and model comparisons for distances.
Customized chromatic noise models applied to NANOGrav 15 yr data raise the Bayes factor for Hellings-Downs GWB correlations by a factor of ~8, lower the amplitude to 2.1e-15, and increase the spectral index to 3.5.
Bayesian fitting of an eccentric Keplerian orbit to the radio light curve of PKS 2131-021 gives e = 0.053 ± 0.015 without red noise but favors a circular orbit plus DRW noise with e < 0.15.
citing papers explorer
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Few-Shot Prediction for Pulsar Noise with Long Short-Term Memory Network
Meta-learned LSTM with particle swarm optimization predicts pulsar timing residuals from 10% of data in new frequency domains on IPTA DR2.