collaborators

9 papers

stat.AP2026

Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra

Stephen A. Walsh, Annie S. Booth, David Higdon +3

Understanding the structure of our universe and the distribution of matter is an area of active research. As cosmological surveys grow in complexity, the development of emulators t…

astro-ph.CO2026

Optimization of Weak Lensing Lightcone Simulations for Higher-Order Statistics in the LSST era

J. Mena-Fernández, C. Doux, J. Harnois-Déraps +9

We present a framework for generating lightcone simulations tailored to the analysis of Stage-IV cosmic shear data using Higher-Order Statistics (HOS). We revisit key design choice…

astro-ph.CO2026

Point Correlation Functions in Galaxy Surveys: Impact of Baryonic Feedback

Avijit Bera, Joachim Harnois-Déraps, Juan Mena-Fernández +5

We investigate the impact of baryonic feedback on two-point and three-point correlation functions (2PCFs and 3PCFs hereafter, respectively) involving galaxy density fields (g) and…

cs.LG2026

Preserving Clusters in Error-Bounded Lossy Compression of Scientific Particle Data

Congrong Ren, Sheng Di, Katrin Heitmann +2

Scientific particle simulations in cosmology, molecular dynamics, and fluid dynamics produce large-scale datasets whose storage, movement, and analysis increasingly rely on lossy c…

astro-ph.GA2026

Emulator-Based Inference of Cosmological Subgrid Models

Nesar Ramachandra, Nicholas Frontiere, Michael Buehlmann +4

The formation of structure in the Universe at large scales is dominated by gravity, with baryonic physics becoming significant at scales. To capture the impact of b…

astro-ph.CO2025

Modeling Galaxy Formation in Cosmological Simulations with CRK-HACC

Nicholas Frontiere, J. D. Emberson, Michael Buehlmann +4

Self-consistently modeling baryonic effects in survey-scale cosmological simulations has become increasingly important as the diversity, precision, and statistical reach of modern…