Fisher Forecasting for the DESC with 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 Augur 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 3×2pt investigation in harmonic space, providing users with diagnostics to obtain reliable forecasts. Augur will be continually updated to be compatible with the other tools in the DESC software ecosystem as additional probes and functionality become available.
Versions
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BibTeX
@article{rogozenski2026fisher,
title = {{Fisher Forecasting for the DESC with $\textttAugur$}},
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},
journal = {Open J.Astrophys.},
year = {2026},
month = sep,
doi = {10.33232/001c.171652},
eprint = {2608.03876},
archivePrefix = {arXiv},
url = {https://hal.science/hal-05734468v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Fisher Forecasting for the DESC with Augur
AU - Paul Rogozenski
AU - Sankarshana Srinivasan
AU - Javier Sánchez
AU - Nora Elisa Chisari
AU - Arthur Loureiro
AU - Marc Paterno
AU - Rebekah Polen
AU - Heather Prince
AU - Biancamaria Sersante
AU - Anže Slosar
AU - Sandro Vitenti
AU - Carlos García-García
AU - Eric Gawiser
AU - Christos Georgiou
AU - C. Danielle Leonard
AU - Ayan Mitra
AU - Jeremy Neveu
PY - 2026
DA - 2026/09/01
JO - Open J.Astrophys.
DO - 10.33232/001c.171652
UR - https://hal.science/hal-05734468v1
AB - 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 Augur 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 3×2pt investigation in harmonic space, providing users with diagnostics to obtain reliable forecasts. Augur will be continually updated to be compatible with the other tools in the DESC software ecosystem as additional probes and functionality become available.
ER -