Tag Archives: ML

05 Oct 2020

  • (abs, pdf) Barrow et al., The Lyman Continuum Escape Survey: Connecting Time-Dependent [OIII] and [OII] Line Emission with Lyman Continuum Escape Fraction in Simulations of Galaxy Formation
  • (abs, pdf) Villaescusa-Navarro et al., The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
  • (abs, pdf) Smith et al., Pix2Prof: fast extraction of sequential information from galaxy imagery via deep learning
  • (abs, pdf) Dvorkin et al., The impact of turbulent mixing on the galactic r-process enrichment by binary neutron star mergers across the entire metallicity range
  • (abs, pdf) Shahmoradi et al., Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library

06 Aug 2020

  • (abs, pdf) Matthee et al., The nature of CR7 revealed with MUSE: a young starburst powering extended Lyman-$\alpha$ emission at z=6.6
  • (abs, pdf) Hong et al., Revealing the Local Cosmic Web by Deep Learning
  • (abs, pdf) Smith et al., Arepo-MCRT: Monte Carlo Radiation Hydrodynamics on a Moving Mesh
  • (abs, pdf) Tanikawa et al., Merger rate density of Population III binary black holes below, above, and in the pair-instability mass gap

07 Jul 2020

  • (abs, pdf) Kerzendorf et al., Dalek — a deep-learning emulator for TARDIS
  • (abs, pdf) Mathew & Federrath, Implementation of stellar heating feedback in simulations of star cluster formation: effects on the initial mass function
  • (abs, pdf) Feltre et al., XV. The mean rest-UV spectra of Ly-alpha emitters at z>3
  • (abs, pdf) Hayward et al., Submillimetre galaxies in cosmological hydrodynamical simulations — an opportunity for constraining feedback models
  • (abs, pdf) Li et al., The Pairing Probability of Massive Black Holes in Merger Galaxies in the Presence of Radiative Feedback
  • (abs, pdf) Sharda et al., Magnetic field amplification in accretion discs around the first stars: implications for the primordial IMF

02 Jul 2020

  • (abs, pdf) Zanisi et al., The relationship between fine galaxy stellar morphology and star formation activity in cosmological simulations: a deep learning view
  • (abs, pdf) Jeffreson et al., The role of galactic dynamics in shaping the physical properties of giant molecular clouds in Milky Way-like galaxies
  • (abs, pdf) Bhowmick et al., Supermassive black hole fueling in IllustrisTNG: Impact of environment

23-24 Jun 2020

  • (abs, pdf) Curtis & Brainerd, Fast Generation of Large-scale Structure Density Maps via Generative Adversarial Networks
  • (abs, pdf) Magg et al., A Minimum Dilution Scenario for Supernovae and Consequences for Extremely Metal-Poor Stars
  • (abs, pdf) Cooke et al., Astronomy Paper Seminar Participation Guide & Reading Walkthrough
  • (abs, pdf) The LIGO Scientific Collaboration et al., GW190814: Gravitational Waves from the Coalescence of a 23 M$_\odot$ Black Hole with a 2.6 M$_\odot$ Compact Object