Implements full-Stokes SGWB map-making for ground-based networks, applies to LVK O3 data, and constrains polarized angular spectra while showing intensity-only models can be biased.
Arzoumanianet al.(NANOGrav), The NANOGrav 12.5-year Data Set: Search for Non-Einsteinian Polariza- tion Modes in the Gravitational-wave Background, As- trophys
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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.
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.
citing papers explorer
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Polarized Anisotropic Stochastic Gravitational Wave Background Search with Ground-Based Detector Networks
Implements full-Stokes SGWB map-making for ground-based networks, applies to LVK O3 data, and constrains polarized angular spectra while showing intensity-only models can be biased.
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The NANOGrav 15 yr Data Set: Customized Chromatic Noise Models
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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The NANOGrav 15 yr Data Set: Impacts of Customized Chromatic Noise Models on Gravitational Wave Analyses
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.