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- University of California San DiegoUS91 papers
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4 papers · 2 filters
Predicting Localized Primordial Star Formation with Deep Convolutional Neural Networks
Azton I. Wells, Michael L. Norman
We investigate applying 3D deep convolutional neural networks as fast surrogate models of the formation and feedback effects of primordial stars in hydrodynamic cosmological simula…
Planck intermediate results. LV. Reliability and thermal properties of high-frequency sources in the Second Planck Catalogue of Compact Sources
Planck Collaboration, Y. Akrami, M. Ashdown +117
We describe an extension of the most recent version of the Planck Catalogue of Compact Sources (PCCS2), produced using a new multi-band Bayesian Extraction and Estimation Package (…
External Enrichment of Minihalos by the First Supernovae
William Hicks, Azton Wells, Michael L. Norman +3
Recent high-resolution simulations of early structure formation have shown that externally enriched halos may form some of the first metal enriched stars. This study utilizes a 1 c…
Calibration of a star formation and feedback model for cosmological simulations with Enzo
Boon Kiat Oh, Britton D. Smith, John A. Peacock +1
We present results from seventy-one zoom simulations of a Milky Way-sized (MW) halo, exploring the parameter space for a widely-used star formation and feedback model in the {\tt E…