Now showing items 1-6 of 6

    • Data Fusion at Scale in Astronomy 

      Lee, Matthias A; 0000-0001-5337-1583 (Johns Hopkins UniversityUSA, 2017-10-26)
      We have arrived in an era where we face a deluge of data streaming in from countless sources and across virtually all disciplines; This holds especially true for data intensive sciences such as astronomy where upcoming ...
    • Five Tales of Random Forest Regression 

      Carliles, Samuel Lee; 0000-0003-0273-9776 (Johns Hopkins UniversityUSA, 2016-10-03)
      We present a set of variations on the theme of Random Forest regression: two applications to the problem of estimating galactic distances based on photometry which produce results comparable to or better than all other ...
    • INVESTIGATIONS OF DARK MATTER USING COSMOLOGICAL SIMULATIONS 

      Yang, Lin (Johns Hopkins UniversityUSA, 2017-08-11)
      In the successful concordance model of cosmology, dark matter is crucial for structures to form as we observe it in the universe. Despite the overwhelming observational evidence for its existence, it is not yet directly ...
    • MAPPING THE LINKS BETWEEN STARS, GAS, AND DARK MATTER WITH LARGE SURVEYS 

      Lan, Ting-wen; 0000-0001-8857-7020 (Johns Hopkins UniversityUSA, 2016-03-21)
      The evolution of galaxies is driven by complex interplay between multiple components of the Universe, including stars, gas, and dark matter. To advance our understanding of galaxy evolution, it is essential to characterize ...
    • Random Graph Modeling and Discovery 

      Hallonquist, Neil F. (Johns Hopkins UniversityUSA, 2015-10-16)
      In the first part of this thesis, we present a general class of models for random graphs that is applicable to a broad range of problems, including those in which graphs have complicated edge structures. These models need ...
    • Using Machine Learning to Study the Relationship Between Galaxy Morphology and Evolution 

      Peth, Michael Andrew; 0000-0002-6562-3183 (Johns Hopkins UniversityUSA, 2016-07-05)
      We can track the physical evolution of massive galaxies over time by characterizing the morphological signatures inherent to different mechanisms of galactic assembly. Structural studies rely on a small set of measurements ...