TL;DR
This paper introduces a Gaussian process emulator for the Lyman-alpha forest flux power spectrum that efficiently predicts results for extended cosmological models, including massive neutrinos, without needing new simulations.
Contribution
The novel emulator models the flux power spectrum as a function of small-scale matter power spectrum parameters, enabling predictions for extended cosmologies beyond the standard model.
Findings
Accurately predicts flux power spectrum in massive neutrino cosmologies.
Eliminates need for bespoke simulations for various extensions to ΛCDM.
Achieves sub-percent accuracy in relevant regimes.
Abstract
Interpreting observations of the Lyman- forest flux power spectrum requires interpolation between a small number of expensive simulations. We present a Gaussian process emulator modelling the 1D flux power spectrum as a function of the amplitude and slope of the small-scale linear matter power spectrum, and the state of the intergalactic medium at the epoch of interest (). This parameterisation enables the prediction of the flux power spectrum in extended cosmological models that are not explicitly included in the training set, eliminating the need to construct bespoke emulators for a number of extensions to CDM. Our emulator is appropriate for cosmologies in which the linear matter power spectrum is described to percent level accuracy by just an amplitude and slope across the epoch of interest, and in the regime probed by eBOSS/DESI data. We demonstrate this…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
