Fisher Forecasting for the DESC with $\texttt{Augur}$
Abstract
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 measurements, computationally inexpensive investigations of modeling choices must be made to gauge the performance of proposed cosmological analyses. In this paper, we introduce the tool of the Dark Energy Science Collaboration (DESC), which provides Fisher forecasts for cosmological inference for the LSST using software frameworks designed for DESC science. We test the pipeline by comparing it to forecasts produced by external code and direct sampling of the posterior via nested sampling methods, finding good agreement between all methods. We additionally investigate a range of modeling and hyperparameter choices for a 32pt investigation in harmonic space, providing users with diagnostics to obtain reliable forecasts. will be continually updated to be compatible with the other tools in the DESC software ecosystem as additional probes and functionality become available.
Cite
@article{arxiv.2608.03876,
title = {Fisher Forecasting for the DESC with $\texttt{Augur}$},
author = {Paul Rogozenski and Sankarshana Srinivasan and Javier Sánchez and Nora Elisa Chisari and Arthur Loureiro and Marc Paterno and Rebekah Polen and Heather Prince and Biancamaria Sersante and Anže Slosar and Sandro Vitenti and Carlos García-García and Eric Gawiser and Christos Georgiou and C. Danielle Leonard and Ayan Mitra and Jeremy Neveu and The LSST Dark Energy Science Collaboration},
journal= {arXiv preprint arXiv:2608.03876},
year = {2026}
}
Comments
20 Pages, 9 Figures