JDonaldM

Jamie Donald-McCann's repositories

Neural network based emulators for the galaxy power spectrum.

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Notebooks to run the analyses and produce the plots in matryoshka II (Donald-McCann, Koyama, Beutler 2022).

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A collection of papers I found interesting during my PhD

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Some to experiments with simulation based inference techniques.

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Pipeline for carrying out cosmological parameter inference with unified multipole measurements.

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The SWIFT simulation cosmological emulator (swift-emulator)

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Python package for studying large scale structure, cosmology, and galaxy evolution using N-body simulations and halo models

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