Category Archives: astro-ph

Here are the papers from astro-ph that I find interesting. I tend to update daily, so if there is a day missing, I probably didn’t find any papers relevant to our group.

14 Oct 2020

  • (abs, pdf) Granato et al., Dust evolution in zoom-in cosmological simulations of galaxy formation
  • (abs, pdf) Yaryura et al., Associations of dwarf galaxies in a $\Lambda$CDM Universe
  • (abs, pdf) Trujillo-Gomez et al., Constraining the formation of NGC1052-DF2 from its unusual globular cluster population
  • (abs, pdf) Zhang et al., Effects of spin on constraining the seeds and growth of $\gtrsim 10^9M_\odot$ supermassive black holes in $z>6.5$ Quasars
  • (abs, pdf) Meyer et al., Double-peaked Lyman-$\alpha$ emission at z=6.803: a reionisation-era galaxy self-ionising its local HII bubble

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

08 Oct 2020

  • (abs, pdf) Turner et al., The Onset of Gravothermal Core Collapse in Velocity Dependent Self-Interacting Dark Matter Subhaloes
  • (abs, pdf) Dai & Seljak, Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning
  • (abs, pdf) Marsden & Shankar, Using Unreal Engine to Visualize a Cosmological Volume
  • (abs, pdf) Hennebelle et al., What is the role of stellar radiative feedback in setting the stellar mass spectrum?

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

02 Oct 2020

  • (abs, pdf) Riley et al., Chemically Homogeneous Evolution: A rapid population synthesis approach
  • (abs, pdf) Hassan & Gronke, Can galaxy evolution mimic cosmic reionization?
  • (abs, pdf) Fernández-Trincado et al., Discovery of a large population of Nitrogen-Enhanced stars in the Magellanic Clouds
  • (abs, pdf) Niida et al., The Faint End of the Quasar Luminosity Function at $z \sim 5$ from the Subaru Hyper Suprime-Cam Survey

29 Sept 2020

  • (abs, pdf) Kruijssen, The Phoenix stellar stream rose from the ashes of an ancient star cluster
  • (abs, pdf) Kuiper et al., Makemake + Sedna: A Continuum Radiation Transport and Photoionization Framework for Astrophysical Newtonian Fluid Dynamics
  • (abs, pdf) Juvela, LOC program for line radiative transfer
  • (abs, pdf) Dunham et al., A Discontinuous Galerkin Method for General Relativistic Hydrodynamics in thornado
  • (abs, pdf) Greggio et al., On the delay times of merging double neutron stars
  • (abs, pdf) Piana et al., The mass assembly of high-redshift black holes