Tag Archives: ML

09 Apr 2019

  • (abs, pdf) Myeong et al., Evidence for Two Early Accretion Events That Built the Milky Way Stellar Halo
  • (abs, pdf) Neyrinck et al., Halo Spin from Primordial Inner Motions
  • (abs, pdf) Ezzeddine et al., Evidence for an aspherical Population III supernova explosion inferred from the hyper metal-poor star HE1327-2326
  • (abs, pdf) Doussot et al., Improved supervised learning methods for EoR parameters reconstruction
  • (abs, pdf) Viganò & Palenzuela, Fitting of extended sub-grid scale models in compressible turbulent MHD

08 Apr 2019

  • (abs, pdf) Shao et al., Evolution of galactic planes of satellites in the EAGLE simulation
  • (abs, pdf) Blanc et al., A Characteristic Mass Scale in the Mass-Metallicity Relation of Galaxies
  • (abs, pdf) Agertz et al., EDGE I: the mass-metallicity relation as a critical test of galaxy formation physics
  • (abs, pdf) Leung et al., Automated Simulations of Galaxy Morphology Evolution using Deep Learning and Particle Swarm Optimisation
  • (abs, pdf) Sugahara et al., Fast Outflows Identified in Early Star-Forming Galaxies at $z = 5-6$

27 Mar 2019

  • (abs, pdf) Pawlowski et al., Do halos that form early, have high concentration, are part of a pair, or contain a central galaxy potential host more pronounced planes of satellite galaxies?
  • (abs, pdf) Garrison-Kimmel et al., Star formation histories of dwarf galaxies in the FIRE simulations: dependence on mass and Local Group environment
  • (abs, pdf) Domínguez-Fernández et al., Dynamical evolution of magnetic fields in the intracluster medium
  • (abs, pdf) Carleo et al., Machine learning and the physical sciences

26 Mar 2019

  • (abs, pdf) De Barros et al., The GREATS H$\beta$+[OIII] Luminosity Function and Galaxy Properties at $\mathbf{z\sim8}$: Walking the Way of JWST
  • (abs, pdf) Aung et al., Kelvin-Helmholtz Instability in Self-Gravitating Streams
  • (abs, pdf) Lopez et al., Supernova Remnants in High Definition
  • (abs, pdf) Ruszkowski et al., Supermassive Black Hole Feedback
  • (abs, pdf) Hodges-Kluck et al., Astro2020: Hot Drivers of Stellar Feedback from 10 to 10,000 pc
  • (abs, pdf) Ludlow et al., Energy equipartition between stellar and dark matter particles in cosmological simulations results in spurious growth of galaxy sizes
  • (abs, pdf) Ivkovich & McCall, Denuded Dwarfs Demystified: Gas Loss from dSph Progenitors and Implications for the Minimum Mass of Galaxies
  • (abs, pdf) Lovell et al., Learning the Relationship between Galaxies Spectra and their Star Formation Histories using Convolutional Neural Networks and Cosmological Simulations

13 Mar 2019

  • (abs, pdf) Chen et al., Solving the Riemann Problem for Realistic Astrophysical Fluids
  • (abs, pdf) Geach et al., The case for a 'sub-millimeter SDSS': a 3D map of galaxy evolution to z~10
  • (abs, pdf) Foley et al., WFIRST: Enhancing Transient Science and Multi-Messenger Astronomy
  • (abs, pdf) Alvarez et al., Mapping Cosmic Dawn and Reionization: Challenges and Synergies
  • (abs, pdf) Foley et al., Gravity and Light: Combining Gravitational Wave and Electromagnetic Observations in the 2020s
  • (abs, pdf) Lyra et al., Planet formation: The case for large efforts on the computational side
  • (abs, pdf) van der Vlugt & Costa, How AGN feedback drives the size growth of the first quasars
  • (abs, pdf) Papovich et al., UV Diagnostics of Galaxies from the Peak of Star-Formation to the Epoch of Reionization
  • (abs, pdf) Finkelstein et al., Unveiling the Phase Transition of the Universe During the Reionization Epoch with Lyman-alpha
  • (abs, pdf) Behroozi et al., Astro2020: Empirically Constraining Galaxy Evolution
  • (abs, pdf) Cambioni et al., Realistic On-The-Fly Outcomes of Planetary Collisions: Machine Learning Applied to Simulations of Giant Impacts

28 Feb 2019

  • (abs, pdf) Ma et al., Dust extinction, dust emission, and dust temperature in galaxies at z>=5: a view from the FIRE-2 simulations
  • (abs, pdf) Rosen et al., Massive Star Formation via the Collapse of Subvirial and Virialized Turbulent Massive Cores
  • (abs, pdf) Schaerer et al., X-ray binaries as the origin of nebular HeII emission in low-metallicity star-forming galaxies
  • (abs, pdf) Marino et al., Keck HIRES Spectroscopy of SkyMapper Commissioning Survey Candidate Extremely Metal-Poor Stars
  • (abs, pdf) Pearson et al., Identifying Galaxy Mergers in Observations and Simulations with Deep Learning

05 Feb 2019

  • (abs, pdf) Mirabel, Black Hole High Mass X-ray Binary Microquasars at Cosmic Dawn
  • (abs, pdf) Allen et al., Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era
  • (abs, pdf) Khullar et al., Star formation thresholds: real and illusory
  • (abs, pdf) Elahi et al., Hunting for Galaxies and Halos in simulations with VELOCIraptor
  • (abs, pdf) Pfister et al., The erratic dynamical life of black hole seeds in high-redshift galaxies

21 Jan 2019

  • (abs, pdf) Yung et al., Semi-analytic forecasts for JWST – II. physical properties and scaling relations for galaxies at z = 4-10
  • (abs, pdf) Jung et al., Texas Spectroscopic Search for Ly$\alpha$ Emission at the End of Reionization II. The Deepest Near-Infrared Spectroscopic Observation at $z\gtrsim7$
  • (abs, pdf) Acquaviva, Pushing the Technical Frontier: From Overwhelmingly Large Data Sets to Machine Learning
  • (abs, pdf) Cooper et al., Heavy Element Absorption Systems at $5.0<z<6.8$: Metal-Poor Neutral Gas and a Diminishing Signature of Highly Ionized Circumgalactic Matter
  • (abs, pdf) Kimm et al., Understanding the escape of LyC and Ly$\alpha$ photons from turbulent clouds