Tag Archives: ML

06 May 2019

  • (abs, pdf) Pan et al., The Probability Distribution of Density Fluctuations in Supersonic Turbulence
  • (abs, pdf) Peek & Burkhart, Do Androids Dream of Magnetic Fields? Using Neural Networks to Interpret the Turbulent Interstellar Medium
  • (abs, pdf) Sedda et al., MOCCA-SURVEY Database I. Intermediate mass black holes in Milky Way globular clusters and their connection to supermassive black holes

30 Apr 2019

  • (abs, pdf) Li et al., Disruption of giant molecular clouds and formation of bound star clusters under the influence of momentum stellar feedback
  • (abs, pdf) Sartorio et al., Massive star formation via torus accretion: the effect of photoionization feedback
  • (abs, pdf) Margalit & Metzger, The Multi-Messenger Matrix: the Future of Neutron Star Merger Constraints on the Nuclear Equation of State
  • (abs, pdf) Deg et al., GalactICS with Gas
  • (abs, pdf) Zamudio-Fernandez et al., HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks

24 Apr 2019

  • (abs, pdf) Zavala et al., The diverse dark matter density at sub-kiloparsec scales in Milky Way satellites:implications for the nature of dark matter
  • (abs, pdf) Ghara & Mellema, Impact of Ly$\alpha$ heating on the global 21-cm signal from the Cosmic Dawn
  • (abs, pdf) Ricarte et al., Tracing Black Hole and Galaxy Co-evolution in the Romulus Simulations
  • (abs, pdf) Kruijssen, The minimum metallicity of globular clusters and its physical origin — implications for the galaxy mass-metallicity relation and observations of proto-globular clusters at high redshift
  • (abs, pdf) Smith & Geach, Generative deep fields: arbitrarily sized, random synthetic astronomical images through deep learning

17 Apr 2019

  • (abs, pdf) Baron, Machine Learning in Astronomy: a practical overview
  • (abs, pdf) Sorce et al., Virgo: an unlikely cluster of galaxies because of its environment
  • (abs, pdf) Wurster & Bate, Disc formation and fragmentation using radiative non-ideal magnetohydrodynamics
  • (abs, pdf) Mackenzie et al., Linking gas and galaxies at high redshift: MUSE surveys the environments of six damped Lyman alpha galaxies at z~3
  • (abs, pdf) Onoue et al., Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs). VI. Black Hole Mass Measurements of Six Quasars at 6.1<z<6.7
  • (abs, pdf) Izumi et al., Subaru High-z Exploration of Low-Luminosity Quasars (SHELLQs) VIII. A less biased view of the early co-evolution of black holes and host galaxies
  • (abs, pdf) Wilkins et al., Nebular Line Emission During the Epoch of Reionization
  • (abs, pdf) Vogelsberger et al., High redshift JWST predictions from IllustrisTNG: Dust modelling and galaxy luminosity functions

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