collaborators

10 papers

astro-ph.CO2026

Simulation Tests of PSF Modeling for Cosmic Shear with the Vera C. Rubin Observatory

Claire-Alice Hébert, Erin S. Sheldon, Tianqing Zhang +3

Exceptional control of systematic effects is required in order to achieve unbiased cosmic shear two-point correlation function measurements with the next generation of galaxy imagi…

astro-ph.CO2026

Fisher Forecasting for the DESC with

Paul Rogozenski, Sankarshana Srinivasan, Javier Sánchez +18

The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) has begun its ten-year survey of the entire visible southern hemisphere. To ensure robust cosmological measurem…

astro-ph.CO2026

Balancing bias, baryons, and scale cuts in LSST 3x2pt analysis

Ottavia Truttero, Maria Tsedrik, Joe Zuntz +4

Stage IV surveys such as LSST will probe deeply into the nonlinear regime, where systematic effects from galaxy bias and baryonic feedback become dominant and poorly constrained nu…

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…

astro-ph.IM2026

Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses

Arthur Loureiro, Jessica Muir, Jonathan Blazek +10

Smokescreen is an open-source Python library for data-vector concealment (blinding) in cosmological analyses. Data-vector blinding works by applying cosmology-dependent shifts to t…