New non-spherical halo solving procedure applied to AGORA simulations shows merger-responsive morphology measures and redshift trends in spin, axis ratio, and overdensity.
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2 Pith papers cite this work, alongside 144 external citations. Polarity classification is still indexing.
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A GAN framework is trained on EAGLE simulation merger trees to generate new realistic trees for semi-analytic galaxy models at modest computational cost.
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The AGORA High-resolution Galaxy Simulations Comparison Project. XI: Solving the Non-Spherical Morphology and Evolution of Dark Matter Halos with Haskap Pie
New non-spherical halo solving procedure applied to AGORA simulations shows merger-responsive morphology measures and redshift trends in spin, axis ratio, and overdensity.
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A Halo Merger Tree Generation and Evaluation Framework
A GAN framework is trained on EAGLE simulation merger trees to generate new realistic trees for semi-analytic galaxy models at modest computational cost.