Tag Archives: MW

25 Jun 2021

  • (abs, pdf) Tamfal et al., The Dawn of Disk Formation in a Milky Way-sized Galaxy: Thin Stellar Disks at $z > 4$
  • (abs, pdf) Higgs & McConnachie, Solo dwarfs IV: Comparing and contrasting satellite and isolated dwarf galaxies in the Local Group
  • (abs, pdf) Gómez et al., Halo Merger Tree Comparison: Impact on Galaxy Formation Models
  • (abs, pdf) Horowitz et al., HyPhy: Deep Generative Conditional Posterior Mapping of Hydrodynamical Physics
  • (abs, pdf) Washinoue & Suzuki, Coronal Properties of Low-mass Population III Stars and the Radiative Feedback in the Early Universe
  • (abs, pdf) Erika et al., Hoyle-Lyttleton accretion on to black hole accretion disks with super-Eddington luminosity for dusty gas
  • (abs, pdf) Reis et al., Shot noise and scatter in the star formation efficiency as a source of 21-cm fluctuations
  • (abs, pdf) Matteucci, Modelling the chemical evolution of the Milky Way

05 May 2021

  • (abs, pdf) Jeffreson et al., A scaling relation for the molecular cloud lifetime in Milky Way-like galaxies
  • (abs, pdf) Chadha-Day et al., Axion Dark Matter: What is it and Why Now?
  • (abs, pdf) Ferrada-Chamorro et al., Chemical post-processing of magneto-hydrodynamical simulations of star-forming regions: robustness and pitfalls
  • (abs, pdf) Tarsitano et al., Image feature extraction and galaxy classification: a novel and efficient approach with automated machine learning

21 Apr 2021

  • (abs, pdf) Tagawa et al., Signatures of Hierarchical Mergers in Black Hole Spin and Mass distribution
  • (abs, pdf) Conroy et al., All-Sky Dynamical Response of the Galactic Halo to the Large Magellanic Cloud
  • (abs, pdf) Grassi et al., Reducing the complexity of chemical networks via interpretable autoencoders
  • (abs, pdf) Tanvir et al., Exploration of the high-redshift universe enabled by THESEUS
  • (abs, pdf) Panithanpaisal et al., The Galaxy Progenitors of Stellar Streams around Milky Way-mass Galaxies in the FIRE Cosmological Simulations

17-18 Dec 2020

  • (abs, pdf) Tohill et al., Measuring the structure of high-redshift galaxies with deep learning
  • (abs, pdf) Sun et al., Probing Cosmic Reionization and Molecular Gas Growth with TIME
  • (abs, pdf) Bonaca et al., Orbital Clustering Identifies the Origins of Galactic Stellar Streams
  • (abs, pdf) Latif et al., The birth of intermediate-mass black holes in primordial galaxies
  • (abs, pdf) Mirocha et al., The importance of galaxy formation histories in models of reionization
  • (abs, pdf) Passaglia, The Black Hole Window on Cosmic Inflation
  • (abs, pdf) Kann et al., GN-z11-flash in the context of Gamma-Ray Burst Afterglows
  • (abs, pdf) Arina, Review on Dark Matter Tools

02 Dec 2020

  • (abs, pdf) Padmanabhan & Loeb, Distinguishing AGN from starbursts as the origin of double peaked Lyman-Alpha Emitters in the reionization era
  • (abs, pdf) Simon et al., Eridanus II: A Fossil from Reionization with an Off-Center Star Cluster
  • (abs, pdf) Kasmanoff et al., dm2gal: Mapping Dark Matter to Galaxies with Neural Networks
  • (abs, pdf) Price-Whelan et al., Orbital Torus Imaging: Using Element Abundances to Map Orbits and Mass in the Milky Way