A hierarchical Bayesian pipeline applied to 106 SPARC galaxies yields posteriors that reach prior boundaries for soliton parameters, indicating no detectable interior population-level soliton within the Schive-normalized model and standard priors.
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A hierarchical Bayesian pipeline for soliton-plus-NFW inference on SPARC rotation curves: diagnostics and prior-boundary behaviour
A hierarchical Bayesian pipeline applied to 106 SPARC galaxies yields posteriors that reach prior boundaries for soliton parameters, indicating no detectable interior population-level soliton within the Schive-normalized model and standard priors.