Abstract
The power spectrum of the non-linearly evolved large-scale mass distribution recovers only a minority of the information available on the mass fluctuation amplitude. We investigate the recovery of this information in 2D ‘slabs’ of the mass distribution averaged over ≈100 h-1 Mpc along the line of sight, as might be obtained from photometric redshift surveys. We demonstrate a Hamiltonian Monte Carlo method to reconstruct the non-Gaussian mass distribution in slabs, under the assumption that the projected field is a point-transformed Gaussian random field, Poisson-sampled by galaxies. When applied to the Quijote N-body suite at z = 0.5 and at a transverse resolution of 2 h-1 Mpc, the method recovers ~30 times more information than the 2D power spectrum in the well-sampled limit, recovering the Gaussian limit on information. At a more realistic galaxy sampling density of 0.01 h3 Mpc-3, shot noise reduces the information gain to a factor of 5 improvement over the power spectrum at resolutions of 4 h-1 Mpc or smaller.
Lucas Porth
Postdoctoral Researcher in Cosmology
My research interests include weak gravitational lensing, large-scale structure and Bayesian methods.