nearly fully fleshed out now
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= Conclusion
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== Summary
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- We presented Beorn, a new code to simulate the 21cm signal from the EoR and Cosmic Dawn.
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- Beorn is based on the halo model and uses a novel approach to compute the 21cm signal from 1D profiles around individual sources.
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- Beorn is fast, flexible, and easy to use.
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- We validated Beorn against numerical simulations and showed that it can reproduce their results with good accuracy.
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- Beorn is publicly available and can be used for a variety of applications, including forecasting, parameter estimation, and data analysis.
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- #beorn a semi-numerical tool to simulate the 21-cm signal
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- uses the _halo model of reionization_
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- describes sources in terms of their host DM halo
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- $=>$ central dependence on halo growth
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// since it affects the SFR and thus the emissivity
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- more accurate treatment of *individual* mass accretion
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// change in profiles trivially
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- leads to significant changes to reionization history
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// which could in theory be absorbed by shifting other paremeters
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- map-level fluctuations
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// which we can hope to observe (although many are subtle)
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// unique position of 21-cm cosmology -> cannot discuss observational constraints
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- #beorn python package: #link("https://github.com/cosmic-reionization/beorn")
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// invite you to check out
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- simulation-agnostic
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- easier to use
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- fully parallelized
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== Outlook
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- further validation
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// finally ready for direct comparison with c2ray? now that parameters and loading have been properly implemented
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== Upcoming improvements
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- investigation + parameterization of stochasticity
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- application to larger volumes
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- fully parallel runs
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// Assuming other relations related to production of photons is (hopefully by now well motivated) complex
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// these cannot directly be inferred => expressed as a distribution as a function of another halo property
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- application to larger volumes
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// the scale-up -> large volumes with usable merger trees
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// comitting to reserving some 100s of node hours (which I would still quantify as fast)
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