9 lines
1.3 KiB
Typst
9 lines
1.3 KiB
Typst
#import "helpers.typ": *
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We present #beorn, a semi-numerical simulation suite that uses a simplified description of radiation sources to efficiently generate maps of the cosmic dawn and the epoch of reionization.
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In its original formulation, the framework assumed exponential halo growth with a fixed accretion rate. We show how this assumption introduces systematic inaccuracies in the predicted observables of reionization. In this work, we implement a more realistic description of halo mass growth that follows the mass accretion history of individual halos.
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We achieve this consistent treatment of halo growth by incorporating individual accretion histories extracted from the merger trees provided by the #thesan simulations.
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This required an extensive refactoring of the #beorn code base, redesigning the computation of the radiative source properties to accommodate variable growth while ensuring scalability and computational efficiency.
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We describe these modifications in detail and validate the improved suite against the original implementation.
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We demonstrate that the refined treatment alters the timing and morphology properties of the reionization. Finally, we discuss how this new version of #beorn provides a more robust platform for exploring reionization scenarios, and we outline planned extensions and applications.
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