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Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe

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This team has developed a novel and efficient emulator designed for the Effective Field Theory of Large-Scale Structure (EFTofLSS).

Package: CosmologicalEmulators/Effort.jl

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Their implementation leverages state-of-the-art numerical methods and machine learning techniques from the SciML and Turing.jl ecosystems to create surrogate models of the large-scale structure of the Universe. These models integrate well with gradient-based samplers to achieve exceptional computational performance without sacrificing accuracy, which will be essential for analyzing next-generation cosmological survey data from, e.g., the Dark Energy Spectroscopic Instrument (DESI), and Euclid.

Read the 404 Media news release on this package, or read from an up-to-date list of associated publications from the CosmologicalEmulators organization here for more.

  1. Bonici, M., D'Amico, G., Bel, J., & Carbone, C. (2025). Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe. Journal of Cosmology and Astroparticle Physics, 2025(9), 044. [ADS]
  2. Morawetz, J., Zhang, H., Bonici, M., Percival, W., Crespi, A, et al., (2025). Frequentist Cosmological Constraints from Full-Shape Clustering Measurements in DESI DR1. arXiv:2508.11811. [ADS]
  3. H. Zhang, M. Bonici, A. Rocher, W. J. Percival, A. de Mattia, et al., (2025). Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors. arXiv:2504.10407. [ADS]
  4. Zhang, H., Bonici, M., D'Amico, G., Paradiso, S., & Percival, W. (2025). HOD-informed prior for EFT-based full-shape analyses of LSS. Journal of Cosmology and Astroparticle Physics, 2025(4), 041. [ADS]
  5. Paradiso, S., Bonici, M., Chen, M., Percival, W., D'Amico, G., Zhang, H., & McGee, G. (2025). Reducing nuisance prior sensitivity via non-linear reparameterization, with application to EFT analyses of large-scale structure. Journal of Cosmology and Astroparticle Physics, 2025(7), 005. [ADS]
  6. Baleato Lizancos, A., Seljak, U., Karamanis, M., Bonici, M., & Ferraro, S. (2025). Selecting samples of galaxies with fewer Fingers-of-God. Journal of Cosmology and Astroparticle Physics, 2025(7), 014. [ADS]

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