Breaking baryon-cosmology degeneracy with the electron density power spectrum

Andrina Nicola, Francisco Villaescusa-Navarro, David N. Spergel, Jo Dunkley, Daniel Anglés-Alcázar, Romeel Davé, Shy Genel, Lars Hernquist, Daisuke Nagai, Rachel S. Somerville, Benjamin D. Wandelt

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Uncertain feedback processes in galaxies affect the distribution of matter, currently limiting the power of weak lensing surveys. If we can identify cosmological statistics that are robust against these uncertainties, or constrain these effects by other means, then we can enhance the power of current and upcoming observations from weak lensing surveys such as DES, Euclid, the Rubin Observatory, and the Roman Space Telescope. In this work, we investigate the potential of the electron density auto-power spectrum as a robust probe of cosmology and baryonic feedback. We use a suite of (magneto-)hydrodynamic simulations from the CAMELS project and perform an idealized analysis to forecast statistical uncertainties on a limited set of cosmological and physically-motivated astrophysical parameters. We find that the electron number density auto-correlation, measurable through either kinematic Sunyaev-Zel'dovich observations or through Fast Radio Burst dispersion measures, provides tight constraints on ω m and the mean baryon fraction in intermediate-mass halos, f¯ bar. By obtaining an empirical measure for the associated systematic uncertainties, we find these constraints to be largely robust to differences in baryonic feedback models implemented in hydrodynamic simulations. We further discuss the main caveats associated with our analysis, and point out possible directions for future work.

Original languageEnglish (US)
Article number046
JournalJournal of Cosmology and Astroparticle Physics
Issue number4
StatePublished - Apr 1 2022

All Science Journal Classification (ASJC) codes

  • Astronomy and Astrophysics


  • feedback in galaxies
  • hydrodynamical simulations
  • power spectrum


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