November 27, 2023 to December 1, 2023
Dual node
Europe/Paris timezone

The terms Eisenstein and Hu missed

Nov 27, 2023, 6:03 PM
Dual node

Dual node

IAP (Paris) & CCA/Flatiron (New York) IAP 98bis Boulevard Arago 75014 Paris FRANCE CCA/Flatiron 5th Avenue New York (NY) USA
Talk Paris Contributed talks


Deaglan Bartlett (Institut d'Astrophysique de Paris)


The matter power spectrum of cosmology, P(k), is of fundamental importance in cosmological analyses, yet solving the Boltzmann equations can be computationally prohibitive if required several thousand times, e.g. in a MCMC. Emulators for P(k) as a function of cosmology have therefore become popular, whether they be neural network or Gaussian process based. Yet one of the oldest emulators we have is an analytic, physics-informed fit proposed by Eisenstein and Hu (E&H). Given this is already accurate to within a few percent, does one really need a large, black-box, numerical method for calculating P(k), or can one simply add a few terms to E&H? In this talk I demonstrate that Symbolic Regression can obtain such a correction, yielding sub-percent level predictions for P(k).

Primary author

Deaglan Bartlett (Institut d'Astrophysique de Paris)


Benjamin Wandelt (Institut d'Astrophysique de Paris / The Flatiron Institute) Dr Miles Cranmer (Cambridge University)

Presentation materials