Tag Archives: Mock

21 Jun 2021

  • (abs, pdf) Kravtsov & Manwadkar, GRUMPY: a simple framework for realistic forward-modelling of dwarf galaxies
  • (abs, pdf) Rey & Starkenburg, How cosmological merger histories shape the diversity of stellar haloes
  • (abs, pdf) Roca-Fàbrega et al., The AGORA High-resolution Galaxy Simulations Comparison Project. III: Cosmological zoom-in simulation of a Milky Way-mass halo
  • (abs, pdf) Hahn et al., IQ Collaboratory III: The Empirical Dust Attenuation Framework — Taking Hydrodynamical Simulations with a Grain of Dust

10-14 May 2021

  • (abs, pdf) Allevato et al., Building robust AGN mock catalogs to unveil black hole evolution and for survey planning
  • (abs, pdf) Sadanari et al., Magnetohydrodynamic effect on first star formation: prestellar core collapse and protostar formation
  • (abs, pdf) Pagano & Liu, Lyman Alpha Emitters and the 21cm Power Spectrum as Probes of Density-Ionization Correlation in the Epoch of Reionization
  • (abs, pdf) Carlsten et al., ELVES I: Structures of Dwarf Satellites of MW-like Galaxies; Morphology, Scaling Relations, and Intrinsic Shapes
  • (abs, pdf) Carlsten et al., ELVES II: GCs and Nuclear Star Clusters of Dwarf Galaxies; The Importance of Environment
  • (abs, pdf) Arentsen et al., The Pristine Inner Galaxy Survey (PIGS) III: carbon-enhanced metal-poor stars in the bulge
  • (abs, pdf) Das et al., Effect of mass loss due to stellar winds on the formation of supermassive black hole seeds in dense nuclear star clusters
  • (abs, pdf) Wibking & Krumholz, The global structure of magnetic fields and gas in simulated Milky Way-analogue galaxies
  • (abs, pdf) Grand et al., Determining the full satellite population of a Milky Way-mass halo in a highly resolved cosmological hydrodynamic simulation
  • (abs, pdf) Placco et al., SPLUSJ210428.01-004934.2: An Ultra Metal-Poor Star Identified from Narrowband Photometry
  • (abs, pdf) Greene et al., A Search for Wandering Black Holes in the Milky Way with Gaia and DECaLS
  • (abs, pdf) Sahlén & Zackrisson, Galaxy population constraints on cosmology and star formation in the early Universe
  • (abs, pdf) Gelli et al., Dwarf satellites of high-z Lyman Break Galaxies: a free lunch for JWST
  • (abs, pdf) Gilman et al., Strong lensing signatures of self-interacting dark matter in low-mass halos
  • (abs, pdf) Chowdhury et al., On the Random Motion of Nuclear Objects in a Fuzzy Dark Matter Halo

11 Feb 2021

  • (abs, pdf) Chan et al., Narrowing the mass range of Fuzzy Dark Matter with Ultra-faint Dwarfs
  • (abs, pdf) Dawson et al., A self-supervised, physics-aware, Bayesian neural network architecture for modelling galaxy emission-line kinematics
  • (abs, pdf) Baxter et al., A Machine Learning Approach to Measuring the Quenched Fraction of Low-Mass Satellites Beyond the Local Group
  • (abs, pdf) Lupi et al., Forming massive seed black holes in high-redshift quasar host progenitors
  • (abs, pdf) Chandra & Schlaufman, Searching for Low-mass Population III Stars Disguised as White Dwarfs

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