Tag Archives: ML

15 Oct 2021

  • (abs, pdf) Rückert et al., ADOP: Approximate Differentiable One-Pixel Point Rendering
  • (abs, pdf) Casey et al., Mapping Obscuration to Reionization with ALMA (MORA): 2mm Efficiently Selects the Highest-Redshift Obscured Galaxies
  • (abs, pdf) Prichard et al., Lyman Continuum Galaxy Candidates in COSMOS
  • (abs, pdf) Tortora et al., Scaling relations and baryonic cycling in local star-forming galaxies. III. Outflows, effective yields and metal loading factors
  • (abs, pdf) Legrand et al., AstraeusIV : Quantifying the star formation histories of galaxies in the Epoch of Reionization

23 Sept 2021

  • (abs, pdf) Villaescusa-Navarro et al., Multifield Cosmology with Artificial Intelligence
  • (abs, pdf) García-Vergara et al., ALMA reveals large overdensity and strong clustering of galaxies in quasar environments at $z\sim4$
  • (abs, pdf) Stücker et al., Simulating the complexity of the dark matter sheet II: halo and subhalo mass functions for non-cold dark matter models
  • (abs, pdf) Hopkins et al., First Predicted Cosmic Ray Spectra, Primary-to-Secondary Ratios, and Ionization Rates from MHD Galaxy Formation Simulations
  • (abs, pdf) Keim et al., Tidal Distortions in NGC1052-DF2 and NGC1052-DF4: Independent Evidence for a Lack of Dark Matter
  • (abs, pdf) Husain et al., Detectability of Population III stellar remnants as X-ray binaries from tidal captures in the local Universe

16 Sept 2021

  • (abs, pdf) Yates et al., Cosmic metal density evolution in neutral gas: insights from observations and cosmological simulations
  • (abs, pdf) Molaro et al., The effect of inhomogeneous reionisation on the Lyman-$\alpha$ forest power spectrum at redshift $z>4$: implications for thermal parameter recovery
  • (abs, pdf) Mohammad et al., Inpainting hydrodynamical maps with deep learning

20 Aug 2021

  • (abs, pdf) Acquaviva, Teaching Machine Learning for the Physical Sciences: A summary of lessons learned and challenges
  • (abs, pdf) Dosopoulou et al., Galaxy Core Formation by Supermassive Black Hole Binaries: the Importance of Realistic Initial Conditions and Galaxy Morphology
  • (abs, pdf) Schauer et al., Globular Clusters and Streaming Velocities: Testing the new formation channel in high-resolution cosmological simulations

06 Jul 2021

  • (abs, pdf) Xu et al., Predicting halo occupation and galaxy assembly bias with machine learning
  • (abs, pdf) Vikaeus et al., Conditions for detecting lensed Population III galaxies in blind surveys with the James Webb Space Telescope, the Roman Space Telescope and Euclid
  • (abs, pdf) Nagele et al., Collapse of $\sim 10^4$ $M_\odot$ population III supermassive stars with neutrino transfer
  • (abs, pdf) Ricarte et al., Unveiling the Population of Wandering Black Holes via Electromagnetic Signatures

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