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BEoRN: A fast and flexible framework to simulate the epoch of reionisation and cosmic dawn

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arxiv 2305.15466 v2 pith:ALW2GJ5X submitted 2023-05-24 astro-ph.CO astro-ph.GA

classification astro-ph.COastro-ph.GA
keywords beorncodereionisationsourcecosmicdawnepochmodels
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

In this study, we introduce BEoRN (Bubbles during the Epoch of Reionisation Numerical Simulator), a publicly available Python code that generates three-dimensional maps of the 21-cm signal from the cosmic dawn and the epoch of reionisation. Built upon N-body simulation outputs, BEoRN populates haloes with stars and galaxies based on a flexible source model. It then computes the evolution of Lyman-$\alpha$ coupling, temperature, and ionisation profiles as a function of source properties, and paints these profiles around each source onto a three-dimensional grid. The code consistently deals with the overlap of ionised bubbles by redistributing photons around the bubble boundaries, thereby ensuring photon conservation. It accounts for the redshifting of photons and the source look-back effect for the temperature and Lyman-$\alpha$ coupling profiles which extend far into the intergalactic medium to scales of order 100 cMpc. We provide a detailed description of the code and compare it to results from the literature. After validation, we run three different benchmark models based on a cosmological N-body simulation. All three models agree with current observations from UV luminosity functions and estimates of the mean ionisation fraction. Due to different assumptions regarding the small-mass stellar-to-halo relation, the X-ray flux emission, and the ionising photon escape fraction, the models produce unique signatures ranging from a cold reionisation with deep absorption trough to an emission-dominated 21-cm signal, broadly encompassing the current uncertainties at cosmic dawn. The code BEoRN is publicly available at https://github.com/cosmic-reionization/BEoRN.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Prospects for measuring neutrino mass with 21-cm forest

    astro-ph.CO 2025-01 conditional novelty 6.0 of 10

    Using an analytic halo model, the authors forecast that 21-cm forest observations with SKA-LOW could constrain the total neutrino mass to about 0.1 eV, potentially distinguishing neutrino mass hierarchies.

  2. Simulation-based inference on warm dark matter from HERA forecasts

    astro-ph.CO 2024-12 conditional novelty 5.0 of 10

    Using neural ratio estimation on mock HERA power spectra, the authors forecast 95% lower bounds on the thermal WDM mass that exceed the 5.3 keV Lyman-alpha limit when the galaxy threshold mass Mturn is below 1e8 M_sun.

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