From Idealized Forecasts to Realistic Inference of Dark Matter Physics with Milky Way Satellites

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  • Nuclear, Particle, Astroparticle and Cosmology (NUPAC) Seminars

April 28, 2026 2:00 PM
PAIS 3205

Host:
Francis-Yan Cyr-Racine
Presenter:
Soumyodipta Karmakar (UNM)
Milky Way satellite galaxies provide an important small-scale probe of the nature of dark matter. In this annual update, I will present recent progress in a forward-modeling framework designed to connect dark matter physics to the observable properties of satellite galaxies. Compared to earlier work, the current analysis includes more realistic observational effects, incorporates measurement uncertainties, and has been tested against simulation- and emulator-based datasets. I will also discuss recent Bayesian inference results and posterior-based checks in observable space, which help assess how well the inferred models reproduce the satellite populations used in the analysis. These developments represent an important step toward a more realistic and robust framework for using Milky Way satellites to study dark matter.

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