SciPost Submission Page
Optimal, fast, and robust inference of reionization-era cosmology with the 21cmPIE-INN
by Benedikt Schosser, Caroline Heneka, Tilman Plehn
Submission summary
| Authors (as registered SciPost users): | Tilman Plehn · Benedikt Schosser |
| Submission information | |
|---|---|
| Preprint Link: | scipost_202402_00041v1 (pdf) |
| Date submitted: | 2024-02-27 09:08 |
| Submitted by: | Schosser, Benedikt |
| Submitted to: | SciPost Physics |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approaches: | Computational, Phenomenological |
Abstract
Modern machine learning will allow for simulation-based inference from reionization-era 21cm observations at the Square Kilometre Array. Our framework combines a convolutional summary network and a conditional invertible network through a physics-inspired latent representation. It allows for an optimal and extremely fast determination of the posteriors of astrophysical and cosmological parameters. The sensitivity to non-Gaussian information makes our method a promising alternative to the established power spectra.
Current status:
In refereeing