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added Effort.jl case study
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docs/case_studies/config.json

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"order": [
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"solar_system",
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"exoplanets",
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"stars_and_galaxies"
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"stars_and_galaxies",
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"cosmology"
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]
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}
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{
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"order": [
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"marcobonici-effort.md"
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]
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}
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---
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title: "Effort.jl: a fast and differentiable emulator for the Effective Field Theory of the Large Scale Structure of the Universe"
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id: "marcobonici-effort"
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description: "See how this team uses Julia to emulate cosmological observables at the largest scales."
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author: "[William Thompson](https://github.com/sefffal)"
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date: "2025-09-16"
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---
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This team has developed a novel and efficient emulator designed for the Effective Field Theory of Large-Scale Structure (EFTofLSS).
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**Package: [CosmologicalEmulators/Effort.jl](https://github.com/sefffal/Octofitter.jl)**
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![image](https://raw.githubusercontent.com/CosmologicalEmulators/Effort.jl/refs/heads/main/docs/src/assets/logo.svg)
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Their implementation leverages state-of-the-art numerical methods and machine learning techniques from the [SciML](https://sciml.ai/) and [Turing.jl](https://turinglang.org/) 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](https://www.desi.lbl.gov/)), and [Euclid](https://www.esa.int/Science_Exploration/Space_Science/Euclid).
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Read the [_404 Media_ news release](https://www.404media.co/a-vast-cosmic-web-connects-the-universe-really-now-we-can-emulate-it/) on this package, or read from an up-to-date list of associated publications from the [CosmologicalEmulators organization here](https://github.com/CosmologicalEmulators#publications) for more.
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> 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](https://iopscience.iop.org/article/10.1088/1475-7516/2025/09/044?ref=404media.co). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...09..044B/abstract)
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> 2. H. Zhang, M. Bonici, A. Rocher, W. J. Percival, A. de Mattia, et al., Enhancing DESI DR1 Full-Shape analyses using HOD-informed priors. [arXiv pre-print](https://arxiv.org/abs/2504.10407). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250410407Z/abstract)
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> 3. 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](https://iopscience.iop.org/article/10.1088/1475-7516/2025/04/041). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025arXiv250410407Z/abstract)
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> 4. 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](https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/005). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...07..005P/abstract)
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> 5. 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](https://iopscience.iop.org/article/10.1088/1475-7516/2025/07/014). [[ADS]](https://ui.adsabs.harvard.edu/abs/2025JCAP...07..014B/abstract)
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docs/src/community.md

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- [JuliaHCI](https://github.com/juliahci) - high-contrast imaging
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- [JuliaSpace](https://github.com/JuliaSpace) - astrodynamics and satellite mission planning
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- [EHTJulia](https://github.com/EHTJulia) - high-resolution radio interferometry
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- [CosmologicalEmulators](https://github.com/CosmologicalEmulators) - emulate cosmological observables
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## Contributing

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