Probing Cosmology through Higher-Order CMB Lensing Statistics

June 11, 2026 PIRSA:26060031 Conference Cosmology

Conference/School: Advancing Field-level and Simulation-based Inference for Cosmology

Chen, S. (2026). Probing Cosmology through Higher-Order CMB Lensing Statistics. Perimeter Institute. https://pirsa.org/26060031

Chen, Shu-Fan. Probing Cosmology through Higher-Order CMB Lensing Statistics. Perimeter Institute, Jun. 11, 2026, https://pirsa.org/26060031

@misc{ pirsa_PIRSA:26060031,
  doi = {10.48660/26060031},
  url = {https://pirsa.org/26060031},
  author = {Chen, Shu-Fan},
  keywords = {Cosmology},
  language = {en},
  title = {Probing Cosmology through Higher-Order CMB Lensing Statistics},
  publisher = {Perimeter Institute},
  year = {2026},
  month = {jun},
  note = {PIRSA:26060031 see, \url{https://pirsa.org}}
}

Abstract

We investigate the cosmological information content of higher-order statistics of the CMB lensing convergence field for near-term experiments similar to the Simons Observatory. Using a field-level forward-modeling pipeline based on ray-traced $N$-body simulations with realistic SO-like lensing reconstruction, we measure non-Gaussian statistics such as Minkowski functionals, peak/minima counts, and train emulators to model their dependence on $\Omega_m$, $A_s$, and $M_\nu$. We quantify the information gain beyond the lensing power spectrum and identify which statistics are most robust to reconstruction noise, highlighting the potential of non-Gaussian statistics to enhance cosmological constraints from upcoming CMB surveys.