Tag Archives: ML

14-17 Dec 2021

  • (abs, pdf) Juneau et al., The Black Hole-Galaxy Connection: Interplay between Feedback, Obscuration, and Host Galaxy Substructure
  • (abs, pdf) McGibbon & Khochfar, Multi-Epoch Machine Learning 1: Unravelling Nature vs Nurture for Galaxy Formation
  • (abs, pdf) Parsons et al., Probing Population III IMFs with He II/H$\alpha$ Intensity Mapping
  • (abs, pdf) Zeltyn & Trakhtenbrot, The Contribution of AGN Accretion Disks to Hydrogen Reionization
  • (abs, pdf) Yaghoobi et al., Second generation star formation in globular clusters of different masses
  • (abs, pdf) Leonova et al., The Prevalence of Galaxy Overdensities Around UV-Luminous Lyman $\mathbf{\alpha}$ Emitters in the Epoch of Reionization
  • (abs, pdf) Singh et al., On the detection of a cosmic dawn signal in the radio background

13 Dec 2021

  • (abs, pdf) Liow et al., Grouped star formation: converting sink particles to stars in hydrodynamical simulations
  • (abs, pdf) Rohr et al., The galaxy-halo size relation of low-mass galaxies in FIRE
  • (abs, pdf) Angulo & Hahn, Large-scale dark matter simulations
  • (abs, pdf) Park et al., Calibrating excursion set reionization models to approximately conserve ionizing photons
  • (abs, pdf) Rhee et al., Performance Enhancement of Tree-based Friends-of-friend Galaxy-finder for High-resolution Simulations of Galaxy Formation
  • (abs, pdf) Dong et al., Physical Benchmarking for AI-Generated Cosmic Web
  • (abs, pdf) Wang et al., Deep Forest: Neural Network reconstruction of intergalactic medium temperature

01 Dec 2021

  • (abs, pdf) Voggel et al., First direct dynamical detection of a dual supermassive black hole system at sub-kiloparsec separation
  • (abs, pdf) Matthee et al., Deciphering stellar metallicities in the early Universe: a case study of a young galaxy at z = 4.77 in the MUSE eXtremely Deep Field
  • (abs, pdf) Radice et al., A New Moment-Based General-Relativistic Neutrino-Radiation Transport Code: Methods and First Applications to Neutron Star Mergers
  • (abs, pdf) Glatzle et al., Radiative transfer of ionizing radiation through gas and dust: grain charging in star forming regions
  • (abs, pdf) Jung et al., CLEAR: Boosted Ly$\alpha$ Transmission of the Intergalactic Medium in UV bright Galaxies
  • (abs, pdf) Steinhardt et al., Finding High-Redshift Galaxies with JWST
  • (abs, pdf) Villanueva-Domingo et al., Weighing the Milky Way and Andromeda with Artificial Intelligence
  • (abs, pdf) Neufeld et al., RELICS: Small Lensed $z\geq5.5$ Galaxies Selected as Potential Lyman Continuum Leakers
  • (abs, pdf) Bolan et al., Inferring the IGM Neutral Fraction at z ~ 6-8 with Low-Luminosity Lyman Break Galaxies
  • (abs, pdf) De Cun et al., Merging Black Holes in Dwarf Galaxies: Calculating Black Hole Coalescence Binary Timescales from Simulations for LISA Detection

15-19 Nov 2021

  • (abs, pdf) Strom et al., Chemical abundance scaling relations for multiple elements in z~2-3 star-forming galaxies
  • (abs, pdf) White et al., The Gamow Explorer: A gamma-ray burst observatory to study the high redshift universe and enable multi-messenger astrophysics
  • (abs, pdf) Martin-Alvarez et al., Towards convergence of turbulent dynamo amplification in cosmological simulations of galaxies
  • (abs, pdf) Garofalo & Singh, The astrophysics of rotational energy extraction from a black hole
  • (abs, pdf) Ejdetjärn et al., From giant clumps to clouds — III. The connection between star formation and turbulence in the ISM
  • (abs, pdf) Drouart et al., The GLEAMing of the First Supermassive Black Holes
  • (abs, pdf) Villanueva-Domingo et al., Inferring halo masses with Graph Neural Networks
  • (abs, pdf) Pechetti et al., Detection of a $\sim$100,000 M$_\odot$ black hole in M31's most massive globular cluster: A tidally stripped nucleus
  • (abs, pdf) Vazza et al., Magnetogenesis and the Cosmic Web: a joint challenge for radio observations and numerical simulations

12 Nov 2021

  • (abs, pdf) Connor et al., X-Ray Evidence Against the Hypothesis that the Hyper-Luminous z=6.3 Quasar J0100+2802 is Lensed
  • (abs, pdf) Schaurecker et al., Super-resolving Dark Matter Halos using Generative Deep Learning
  • (abs, pdf) Errani et al., Structure and kinematics of tidally limited satellite galaxies in LCDM
  • (abs, pdf) Gannon et al., Ultra-Diffuse Galaxies in the Perseus Cluster: Comparing Galaxy Properties with Globular Cluster System Richness

05 Nov 2021

  • (abs, pdf) Kannan et al., The THESAN project: predictions for multi-tracer line intensity mapping in the Epoch of Reionization
  • (abs, pdf) Ellis, Premature Black Hole Death of Population III Stars by Dark Matter
  • (abs, pdf) Delgado et al., Modeling the galaxy-halo connection with machine learning
  • (abs, pdf) Kolborg et al., Supernova-driven turbulent metal mixing in high redshift galactic disks: metallicity fluctuations in the interstellar medium and its imprints on metal poor stars in the Milky Way
  • (abs, pdf) Quera-Bofarull et al., Qwind3: UV line-driven accretion disc wind models for AGN feedback

03 Nov 2021

  • (abs, pdf) Grishin et al., Transforming gas-rich low-mass disky galaxies into ultra-diffuse galaxies by ram pressure
  • (abs, pdf) Santos-Santos et al., Satellite mass functions and the faint end of the galaxy mass-halo mass relation in LCDM
  • (abs, pdf) Bird et al., The ASTRID Simulation: Galaxy Formation and Reionization
  • (abs, pdf) Harish et al., New spectroscopic confirmations of Lyman-$\alpha$ emitters at z $\sim$ 7 from the LAGER survey
  • (abs, pdf) von Marttens et al., Inferring galaxy dark halo properties from visible matter with Machine Learning
  • (abs, pdf) Asada & Ohta, Search for H$\alpha$ Emitters at $z\sim7.8$: A Constraint on the H$\alpha$-based Star Formation Rate Density