Tag Archives: ML

15 Aug 2018

  • (abs, pdf) Wurster et al., Hall effect-driven formation of gravitationally unstable discs in magnetized molecular cloud cores
  • (abs, pdf) Eastwood & Khochfar, How Black Holes Stop Their Host Galaxy from Growing Without AGN Feedback
  • (abs, pdf) Mowla et al., COSMOS-DASH: The Evolution of the Galaxy Size-Mass Relation Since z~3 from new Wide Field WFC3 Imaging Combined with CANDELS/3DHST
  • (abs, pdf) Mathuriya et al., CosmoFlow: Using Deep Learning to Learn the Universe at Scale
  • (abs, pdf) Wolf et al., New Science, New Media: An Assessment of the Online Education and Public Outreach Initiatives of The Dark Energy Survey
  • (abs, pdf) van de Voort et al., Cosmological simulations of the circumgalactic medium with 1 kpc resolution: enhanced HI column densities
  • (abs, pdf) Riechers et al., COLDz: Shape of the CO Luminosity Function at High Redshift and the Cold Gas History of the Universe

17 Jul 2018

  • (abs, pdf) Patel et al., $\Lambda$CDM Predictions for the Satellite Population of M33
  • (abs, pdf) Nakauchi et al., Condition for low-mass star formation in shock-compressed metal-poor clouds
  • (abs, pdf) Yuan et al., Numerical study of active galactic nucleus feedback in an elliptical galaxy with {\it MACER}
  • (abs, pdf) Holguin et al., Role of Cosmic Ray Streaming and Turbulent Damping in Driving Galactic Winds
  • (abs, pdf) Dai & Tong, Visualizing the Hidden Features of Galaxy Morphology with Machine Learning
  • (abs, pdf) Orofino et al., Growth problems of stellar black holes in early galaxies
  • (abs, pdf) Bovino & Galli, Thermodynamics and Chemistry of the Early Universe

04 Apr 2018

  • (abs, pdf) El-Badry et al., Where are the most ancient stars in the Milky Way?
  • (abs, pdf) Dai et al., Around The Way: Testing $\Lambda$CDM with Milky Way Stellar Stream Constraints
  • (abs, pdf) Dai et al., A gradient based method for modeling baryons and matter in halos of fast simulations
  • (abs, pdf) Aragon-Calvo, Classifying the Large Scale Structure of the Universe with Deep Neural Networks
  • (abs, pdf) Guillard et al., Impact of radiation feedback on the assembly of star clusters in galactic context

14 Dec 2017

  • (abs, pdf) Doussot et al., SCORCH. II. Radiation-Hydrodynamic simulations of reionization with varying radiation escape fractions
  • (abs, pdf) Nadler et al., Modeling the Impact of Baryons on Subhalo Populations with Machine Learning
  • (abs, pdf) Diemer, COLOSSUS: A python toolkit for cosmology, large-scale structure, and dark matter halos
  • (abs, pdf) Sazonov & Khabibullin, Impact of ultraluminous X-ray sources on photoabsorption in the first galaxies
  • (abs, pdf) Dalal et al., Fundamental Physics with the Hubble Space Telescope