Dwarf spheroidal J-factors without priors: A likelihood-based analysis for indirect dark matter searches
作者： A. Chiappo , J. Cohen-Tanugi , J. Conrad , L. E. Strigari , B. Anderson
关键词:
摘要: Line-of-sight integrals of the squared density, commonly called J-factor, are essential for inferring dark matter (DM) annihilation signals. The J-factors DM-dominated dwarf spheroidal satellite galaxies (dSphs) have typically been derived using Bayesian techniques, which small data samples implies that a choice priors constitutes non-negligible systematic uncertainty. Here we report development new fully frequentist approach to construct profile likelihood J-factor. Using stellar kinematic from several classical and ultra-faint dSphs, derive maximum value J-factor its confidence intervals. We validate this method, in particular bias coverage, simulated Gaia Challenge. find method possesses good statistical properties. their uncertainties generally agreement with Bayesian-derived values, largest deviations restricted systems smallest sets. discuss improvements, extensions, future applications technique.
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