- (abs, pdf) Khullar et al.,
*COOL-LAMPS I. An Extraordinarily Bright Lensed Galaxy at Redshift 5.04* - (abs, pdf) Lotz et al.,
*Rise and fall of post-starburst galaxies in Magneticum Pathfinder* - (abs, pdf) Sala et al.,
*Non-isotropic feedback from accreting spinning black holes* - (abs, pdf) Ginzburg et al.,
*The nature of giant clumps in high-z discs: a deep-learning comparison of simulations and observations*

# Tag Archives: ML

# 11-12 Nov 2020

# 04 Nov 2020

- (abs, pdf) Asensio & Vecchia,
*Reducing the number of redundant pair-wise interactions in hydrodynamic meshless methods* - (abs, pdf) Gensior & Kruijssen,
*The Elephant in the Bathtub: when the physics of star formation regulate the baryon cycle of galaxies* - (abs, pdf) Wells & Norman,
*Predicting Primordial Star Formation with Deep Convolutional Neural Networks*

# 23 Oct 2020

- (abs, pdf) Burkhart et al.,
*The Catalogue for Astrophysical Turbulence Simulations (CATS)* - (abs, pdf) Guszejnov et al.,
*STARFORGE: The effects of protostellar outflows on the IMF* - (abs, pdf) Grudić et al.,
*STARFORGE: Toward a comprehensive numerical model of star cluster formation and feedback* - (abs, pdf) Modi et al.,
*FlowPM: Distributed TensorFlow Implementation of the FastPM Cosmological N-body Solver*

# 15 Oct 2020

# 08 Oct 2020

- (abs, pdf) Turner et al.,
*The Onset of Gravothermal Core Collapse in Velocity Dependent Self-Interacting Dark Matter Subhaloes* - (abs, pdf) Dai & Seljak,
*Learning effective physical laws for generating cosmological hydrodynamics with Lagrangian Deep Learning* - (abs, pdf) Marsden & Shankar,
*Using Unreal Engine to Visualize a Cosmological Volume* - (abs, pdf) Hennebelle et al.,
*What is the role of stellar radiative feedback in setting the stellar mass spectrum?*

# 06 Oct 2020

- (abs, pdf) Dickey et al.,
*IQ Collaboratory II: The Quiescent Fraction of Isolated, Low Mass Galaxies Across Simulations and Observations* - (abs, pdf) Cornu,
*Modeling the 3D Milky Way using Machine Learning with Gaia and infrared surveys* - (abs, pdf) Gent et al.,
*Small-Scale Dynamo in Supernova-Driven Interstellar Turbulence* - (abs, pdf) Kurtz & Chyla,
*Second Order Operators in the NASA Astrophysics Data System*

# 05 Oct 2020

- (abs, pdf) Barrow et al.,
*The Lyman Continuum Escape Survey: Connecting Time-Dependent [OIII] and [OII] Line Emission with Lyman Continuum Escape Fraction in Simulations of Galaxy Formation* - (abs, pdf) Villaescusa-Navarro et al.,
*The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations* - (abs, pdf) Smith et al.,
*Pix2Prof: fast extraction of sequential information from galaxy imagery via deep learning* - (abs, pdf) Dvorkin et al.,
*The impact of turbulent mixing on the galactic r-process enrichment by binary neutron star mergers across the entire metallicity range* - (abs, pdf) Shahmoradi et al.,
*Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library*

# 28 Sept 2020

# 13 Aug 2020

- (abs, pdf) Muley et al.,
*Progenitor-mass-dependent yields amplify intrinsic scatter in dwarf-galaxy elemental abundance ratios* - (abs, pdf) Reis et al.,
*Mapping discrete galaxies at cosmic dawn with 21-centimeter observations* - (abs, pdf) Libeskind et al.,
*The Hestia project: simulations of the Local Group* - (abs, pdf) Petulante et al.,
*Machine Learning the Fates of Dark Matter Subhalos: A Fuzzy Crystal Ball*