Tag Archives: ML

08 Aug 2019

  • (abs, pdf) Santos-Santos et al., An analysis of satellite planar configurations around the MW and M31: singling out new high quality planes
  • (abs, pdf) Ishida, Machine Learning and the future of Supernova Cosmology
  • (abs, pdf) Wang et al., A dominant population of optically invisible massive galaxies in the early Universe
  • (abs, pdf) Kendall & Easther, The Core-Cusp Problem Revisited: ULDM vs. CDM
  • (abs, pdf) Smole et al., Recoiling supermassive black holes in analytical and numerical galaxy potential
  • (abs, pdf) Ng et al., Searching for ultralight bosons within spin measurements of a population of binary black hole mergers

17 Jul 2019

  • (abs, pdf) Wise, An Introductory Review on Cosmic Reionization
  • (abs, pdf) Ginolfi et al., Scaling relations and baryonic cycling in local star-forming galaxies
  • (abs, pdf) Rudolph et al., Astro2020: Promoting Diversity and Inclusion in Astronomy Graduate Education: an Astro2020 APC White Paper by the AAS Taskforce on Diversity and Inclusion in Astronomy Graduate Education
  • (abs, pdf) Inoue & Yoshida, Clumpy galaxies in cosmological simulations: The effect of ISM model
  • (abs, pdf) Álvarez-Márquez et al., Investigating the physical properties of galaxies in the Epoch of Reionization with MIRI/JWST spectroscopy
  • (abs, pdf) Network et al., Astro2020 APC White Paper: Pursuing diversity, equity, and inclusion in multimessenger astronomy collaborations over the coming decade
  • (abs, pdf) Smith et al., Astro2020 APC White Paper: Elevating the Role of Software as a Product of the Research Enterprise
  • (abs, pdf) Ostdiek et al., Cataloging Accreted Stars within Gaia DR2 using Deep Learning

10 Jul 2019

  • (abs, pdf) Goulding et al., Discovery of a close-separation binary quasar at the heart of a z~0.2 merging galaxy and its implications for low-frequency gravitational waves
  • (abs, pdf) Monelli & Trujillo, The TRGB distance to the second galaxy "missing dark matter". Evidence for two groups of galaxies at 13.5 and 19 Mpc in the line of sight of NGC1052
  • (abs, pdf) Hwang et al., Evolution of star formation rate-density relation over cosmic time in a simulated universe: the observed reversal reproduced
  • (abs, pdf) Aragon-Calvo, Self-supervised Learning with Physics-aware Neural Networks I: Galaxy Model Fitting
  • (abs, pdf) Dubois et al., Shock-accelerated cosmic rays and streaming instability in the adaptive mesh refinement code Ramses: methods and tests

08 Jul 2019

  • (abs, pdf) Borsato et al., Identifying Stellar Streams in Gaia DR2 with Data Mining Techniques
  • (abs, pdf) Chen et al., A SHARP view of H0LiCOW: $H_{0}$ from three time-delay gravitational lens systems with adaptive optics imaging
  • (abs, pdf) Neeleman et al., Resolved [CII] Emission from z>6 Quasar Host — Companion Galaxy Pairs
  • (abs, pdf) Endsley et al., Clustering with JWST: Constraining Galaxy Host Halo Masses, Satellite Quenching Efficiencies, and Merger Rates at z=4-10
  • (abs, pdf) Mazzucchelli et al., Spectral Energy Distributions of Companion Galaxies to z$\sim$6 Quasars
  • (abs, pdf) Latif & Khochfar, UV regulated star formation in high-redshift galaxies

28 Jun 2019

  • (abs, pdf) Hausen & Robertson, Morpheus: A Deep Learning Framework For Pixel-Level Analysis of Astronomical Image Data
  • (abs, pdf) Ma et al., Self-consistent proto-globular cluster formation in cosmological simulations of high-redshift galaxies
  • (abs, pdf) DeGraf & Sijacki, Cosmological simulations of massive black hole seeds: predictions for next generation electromagnetic and gravitational wave observations
  • (abs, pdf) Zevin et al., Can Neutron-Star Mergers Explain the r-process Enrichment in Globular Clusters?
  • (abs, pdf) Bannister et al., A single fast radio burst localized to a massive galaxy at cosmological distance

24 Jun 2019

  • (abs, pdf) Chun et al., Cosmological Simulations of Satellites around Isolated Dwarf Galaxies
  • (abs, pdf) Massari et al., The origin of the Galaxy's system of globular clusters
  • (abs, pdf) Murchikova et al., A Cool Accretion Disk around the Galactic Centre Black Hole
  • (abs, pdf) Longo et al., Foreword to the Focus Issue on Machine Learning in Astronomy and Astrophysics
  • (abs, pdf) Novak et al., An ALMA multi-line survey of the interstellar medium of the redshift 7.5 quasar host galaxy J1342+0928

18 Jun 2019

  • (abs, pdf) Lucie-Smith et al., An interpretable machine learning framework for dark matter halo formation
  • (abs, pdf) Voivodic et al., Excursion Set Halos — ExSHalos: A New Parameter Free Method for Fast Generation of Halo Catalogues
  • (abs, pdf) Wang et al., Spatially Resolved Interstellar Medium and Highly-Excited Dense Molecular Gas in the Most Luminous Quasar at z=6.327
  • (abs, pdf) Pookkillath et al., Baryon Physics and Tight Coupling Approximation in Boltzmann Code
  • (abs, pdf) Blank et al., NIHAO XXII: Introducing black hole formation, accretion and feedback into the NIHAO simulation suite
  • (abs, pdf) Bettinelli et al., The star formation history of the Sculptor dwarf spheroidal galaxy

23 May 2019

  • (abs, pdf) Bose et al., Revealing the galaxy-halo connection in IllustrisTNG
  • (abs, pdf) Kruijssen et al., Fast and inefficient star formation due to short-lived molecular clouds and rapid feedback
  • (abs, pdf) Marinacci et al., Simulating the interstellar medium and stellar feedback on a moving mesh: Implementation and isolated galaxies
  • (abs, pdf) Hutchison et al., Near-Infrared Spectroscopy of Galaxies During Reionization: Measuring C$\,$III] in a Galaxy at $\mathbf{z=7.5}$
  • (abs, pdf) Madau et al., Globular Cluster Formation from Colliding Substructure
  • (abs, pdf) Simet et al., Comparison of Observed Galaxy Properties with Semianalytic Model Predictions using Machine Learning