DDELenS: Tomographic Weak Lensing Simulations with Dynamical Dark Energy
Abstract
We present a suite of 128 cosmological simulations in w0waCDM cosmologies with massive neutrinos, designed to enable simulation-based inference of dynamical dark energy parameters from weak gravitational lensing and other cosmological observables. Each simulation follows 10243 dark matter particles in a 512 h−1Mpc periodic box, with cosmological parameters sampled using a Sobol sequence over the ranges Ωm ∈ [0.28, 0.35], σ8 ∈ [0.74, 0.90], w0 ∈ [−1.0, −0.5], and wa ∈ [−1.5, 0.0], motivated by recent results from the Dark Energy Spectroscopic Instrument survey. The nonlinear evolution is computed with PKDGRAV3 using the N-body gauge to consistently incorporate relativistic corrections from massive neutrinos, photons, and dark energy. For each cosmology, we generate 10,000 ray-traced convergence maps at six source redshifts zs ∈ {0.5, 1.0, 1.5, 2.0, 2.5, 1100} using LensTools, and additionally provide halo catalogues and projected halo overdensity fields for galaxy--lensing cross-correlation analyses. We generate 100,000 realizations at the fiducial cosmology for the construction of the covariance matrix. This simulation suite provides a foundation for field-level inference and non-Gaussian statistics with next-generation weak lensing surveys such as the Rubin Observatory LSST, Euclid, and the Nancy Grace Roman Space Telescope, as well as CMB lensing experiments including the Simons Observatory.
Related
- Constraining Dynamical Dark Energy with Tomographic Galaxy and CMB Weak Lensing Through Higher-Order Statistics
- Neural Posterior Estimation for Tomographic Weak Lensing Mass Mapping
- Weak-Lensing Shear Response for Photometric Redshift-Based Tomographic Binning
- Field-level weak lensing cosmology with $60$ simulations using multifidelity simulation-based inference
- Gravitational Lensing Predictions from Wave Simulations of Fuzzy Dark Matter
BibTeX
@misc{chen2026ddelens,
title = {{DDELenS: Tomographic Weak Lensing Simulations with Dynamical Dark Energy}},
author = {Shu-Fan Chen and J. Colin Hill and Zoltán Haiman},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.27088},
eprint = {2610.27088},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.27088},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - DDELenS: Tomographic Weak Lensing Simulations with Dynamical Dark Energy
AU - Shu-Fan Chen
AU - J. Colin Hill
AU - Zoltán Haiman
PY - 2026
DA - 2026/10/19
PB - arXiv
DO - 10.48550/arxiv.2610.27088
UR - https://arxiv.org/abs/2610.27088
AB - We present a suite of 128 cosmological simulations in w_0w_aCDM cosmologies with massive neutrinos, designed to enable simulation-based inference of dynamical dark energy parameters from weak gravitational lensing and other cosmological observables. Each simulation follows 1024^3 dark matter particles in a 512 h^−1Mpc periodic box, with cosmological parameters sampled using a Sobol sequence over the ranges Ω_m ∈ [0.28, 0.35], σ_8 ∈ [0.74, 0.90], w_0 ∈ [−1.0, −0.5], and w_a ∈ [−1.5, 0.0], motivated by recent results from the Dark Energy Spectroscopic Instrument survey. The nonlinear evolution is computed with PKDGRAV3 using the N-body gauge to consistently incorporate relativistic corrections from massive neutrinos, photons, and dark energy. For each cosmology, we generate 10,000 ray-traced convergence maps at six source redshifts z_s ∈ {0.5, 1.0, 1.5, 2.0, 2.5, 1100} using LensTools, and additionally provide halo catalogues and projected halo overdensity fields for galaxy--lensing cross-correlation analyses. We generate 100,000 realizations at the fiducial cosmology for the construction of the covariance matrix. This simulation suite provides a foundation for field-level inference and non-Gaussian statistics with next-generation weak lensing surveys such as the Rubin Observatory LSST, Euclid, and the Nancy Grace Roman Space Telescope, as well as CMB lensing experiments including the Simons Observatory.
ER -