Tag Archives: rProcess

18 Feb 2021

  • (abs, pdf) Lochhaas et al., Figuring Out Gas & Galaxies In Enzo (FOGGIE) V: The Virial Temperature Does Not Describe Gas in a Virialized Galaxy Halo
  • (abs, pdf) Reichert et al., Extreme r-process enhanced stars at high metallicity in Fornax
  • (abs, pdf) Chan et al., Smoothed Particle Radiation Hydrodynamics: Two-Moment method with Local Eddington Tensor Closure
  • (abs, pdf) Berzin et al., Spectral Signatures of Population III and Envelope-stripped Stars in Galaxies at the Epoch of Reionization

09 Feb 2021

  • (abs, pdf) Ruiz et al., Multimessenger Binary Mergers Containing Neutron Stars: Gravitational Waves, Jets, and $\boldsymbol{\gamma}$-Ray Bursts
  • (abs, pdf) Tarumi et al., Evidence for r-process delay in very metal-poor stars
  • (abs, pdf) Santistevan et al., The origin of metal-poor stars on prograde disk orbits in FIRE simulations of Milky Way-mass galaxies
  • (abs, pdf) Kudritzki et al., Galaxy Lookback Evolution Models – a Comparison with Magneticum Cosmological Simulations and Observations

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

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