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Constrained Gaussian-process-bridge Prior for Neutron-star Equation-of-state Inference

  • Authors: Tyler Gorda, Oleg Komoltsev, Aleksi Kurkela, Eirik Sunde

Tyler Gorda et al 2026 The Astrophysical Journal 1002 .

  • Provider: AAS Journals

Caption: Figure 3.

The two-point correlation function of the sound speed, ﹩\langle \delta {c}_{s}^{2}({n}^{{\prime} })\,\delta {c}_{s}^{2}(n)\rangle ﹩, showing correlations between values at ﹩{n}^{{\prime} }=0.8\,{{\rm{fm}}}^{-3}﹩ and different n for varying levels of diffusion (left panel), and for a fixed amount of diffusion with varying ﹩{n}^{{\prime} }﹩ (right panel). Thin dashed lines show the corresponding Gaussian correlations, with correlation lengths set by the amount of diffusion, ﹩\sigma =\sqrt{4\,D({n}^{{\prime} })\,t}﹩. The local correlations closely follow the Gaussian form, but the global structure imposed by physical constraints produces a long-range anticorrelation.

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