Tag Archives: ZPoor

21-23 Dec 2020

  • (abs, pdf) Nolan et al., Interactive Cosmology Visualization Using the Hubble UltraDeep Field Data in the Classroom
  • (abs, pdf) Jeon et al., The role of faint population III supernovae in forming CEMP stars in ultra-faint dwarf galaxies
  • (abs, pdf) Tseng et al., An adaptive mesh, GPU-accelerated, and error minimized special relativistic hydrodynamics code
  • (abs, pdf) Patrick et al., The Collapse of Atomically-Cooled Primordial Haloes. I. High Lyman-Werner Backgrounds
  • (abs, pdf) Ouchi, Observations of Ly$\alpha$ Emitters at High Redshift

09 Dec 2020

  • (abs, pdf) da Silva et al., Chemo-kinematic analysis of metal-poor stars with unsupervised machine learning
  • (abs, pdf) Kielty et al., The Pristine survey — XII: Gemini-GRACES chemo-dynamical study of newly discovered extremely metal-poor stars in the Galaxy
  • (abs, pdf) Borrow et al., Sphenix: Smoothed Particle Hydrodynamics for the next generation of galaxy formation simulations
  • (abs, pdf) Li et al., The Origin of the Dust Extinction Curve in Milky Way-like Galaxies
  • (abs, pdf) Mauerhofer et al., On the physics of UV absorption lines and their relations with Lyman continuum escape fractions

07 Dec 2020

  • (abs, pdf) Cadiou et al., Angular momentum evolution can be predicted from cosmological initial conditions
  • (abs, pdf) Mukherjee et al., Fast Multipole Methods for Simulating Collisional Star Systems
  • (abs, pdf) Cen, Physics of Non-Universal Larson's Relation
  • (abs, pdf) Chiti et al., An extended halo around an ancient dwarf galaxy
  • (abs, pdf) Williamson & Martel, The Evolution of Magellanic-like Galaxy Pairs and The Production of Magellanic Stream Analogues in Simulations with Tides, Ram Pressure, and Stellar Feedback
  • (abs, pdf) Holley-Bockelmann et al., Getting Ready for LISA: The Data, Support and Preparation Needed to Maximize US Participation in Space-Based Gravitational Wave Science
  • (abs, pdf) Wiedner et al., Origins Space Telescope: From First Light to Life — ESA Voyage 2050 White Paper

22 Oct 2020

  • (abs, pdf) Khimey et al., Degeneracies between baryons and dark matter: the challenge of constraining the nature of dark matter with JWST
  • (abs, pdf) Horta et al., Linking globular cluster formation at low and high redshift through the age-metallicity relation in E-MOSAICS
  • (abs, pdf) Vachaspati, Progress on Cosmological Magnetic Fields
  • (abs, pdf) Welsh et al., The stochastic enrichment of Population II stars
  • (abs, pdf) Smith, The sensitivity of stellar feedback to IMF averaging versus IMF sampling in galaxy formation simulations
  • (abs, pdf) Barnes et al., Kilonovae across the nuclear physics landscape: The impact of nuclear physics uncertainties on r-process-powered emission

12-13 Oct 2020

  • (abs, pdf) Kulkarni et al., The critical dark matter halo mass for Population III star formation: dependence on Lyman-Werner radiation, baryon-dark matter streaming velocity, and redshift
  • (abs, pdf) Rasmussen et al., Metal-Poor Stars Observed with the Southern African Large Telescope
  • (abs, pdf) Marsan et al., The Number Densities and Stellar Populations of Massive Galaxies at 3 < z < 6: A Diverse, Rapidly Forming Population in the Early Universe
  • (abs, pdf) Machida & Hosokawa, Failed and delayed protostellar outflows with high mass accretion rates
  • (abs, pdf) Liu et al., Dynamical evolution of Population III stellar systems and the resulting binary statistics

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