Estimating the Milky Way’s Mass via Hierarchical Bayes: A Blind Test on MUGS2 Simulated Galaxies

October 14, 2018 | The Astrophysical Journal

DiRAC Researcher, Gwendolyn Eadie, published a paper in the Astrophysical Journal. In a series of three papers, Eadie et al. developed a hierarchical Bayesian method to estimate the Milky Way Galaxy’s mass given a physical model for the potential, a measurement model, and kinematic data of test particles such as globular clusters (GCs) or halo […]

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Collaborative, participant-driven learning works!

August 23, 2018 | UW News

Science has become a big-data endeavor. But scientists are not universally adept in “data science” — the computing and statistical skillsets needed to handle, sort, analyze and draw conclusions from big data. The shortage of know-how in data science can hamper research, medicine and even private industry A new paper led by Daniela Huppenkothen, Associate Director of DiRAC, was just […]

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DiRAC researcher helps investigate the “Most Mysterious Star” from the Kepler Mission

January 3, 2018 | UW News

DiRAC Researcher and NSF Postdoctoral Fellow, James Davenport, is a coauthor on a recent paper studying “Boyajian’s Star”, aka the Most Mysterious Star in the Universe! KIC 8462852, as the star is officially known, has been observed to undergo dramatic changes in brightness over several days, as well as smaller long-term variations. Both of these forms of […]

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