I study astroparticle physics and statistics with a focus on understanding dark matter.
The familiar particles of the Standard Model (quarks, leptons, neutrinos, etc) comprise only 15% of the matter in the universe. The rest is dark matter, whose presence has (so far) been inferred only through its gravitational effects on galactic and cosmological scales. The microscopic nature of dark matter remains a fundamental mystery.
My research seeks to discover and characterize the particle physics of dark matter through astronomical observation. This includes ground and space-based gamma-ray observations of nearby dwarf spheroidal galaxies, dynamical modeling of the dark matter distribution in galaxies using spectroscopic data, and understanding the structure and composition of diffuse astrophysical backgrounds.
A main feature of this work is the development of new statistical techniques to extract information from large and noisy astronomical data sets.
et al., 2020, Structure formation models weaken limits on WIMP dark matter from dwarf spheroidal galaxies, Physical Review D: Particles, Fields, Gravitation and Cosmology, Vol:102, ISSN:1550-2368, Pages:061302(R) – 1-061302(R) – 8
Hoof S, Geringer-Sameth A, Trotta R, 2020, A global analysis of dark matter signals from 27 dwarf spheroidal galaxies using 11 years of Fermi-LAT observations, Journal of Cosmology and Astroparticle Physics, Vol:2020, ISSN:1475-7516
et al., 2020, Galaxy Cluster Mass Estimates in the Presence of Substructure, Astrophysical Journal, Vol:888, ISSN:0004-637X