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Mapping the universe made faster with new computational tool
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Mapping the universe made faster with new computational tool
by Clarence Oxford
Waterloo, Canada (SPX) Oct 01, 2025

As cosmology data sets grow larger and increasingly complex, a new tool allows researchers to run advanced analyses with only a laptop in a fraction of the time once required.

Dr. Marco Bonici, a postdoctoral fellow at the Waterloo Centre for Astrophysics, led an international collaboration that developed Effort.jl, an emulator designed to streamline studies using the Effective Field Theory of Large-Scale Structure (EFTofLSS). The system blends advanced numerical methods with preprocessing strategies to achieve rapid, precise results.

Bonici said the concept emerged after spending hundreds of hours re-running models whenever parameters shifted. Even a minor adjustment could previously add days of costly computations. Effort.jl now compresses those processes into hours, offering scientists an inexpensive and repeatable way to refine models.

"Using Effort.jl, we can run through complex data sets on models like EFTofLSS, which have previously needed a lot of time and computer power," Bonici explained. "With projects like DESI and Euclid expanding our knowledge of the universe and creating even larger astronomical datasets to explore, Effort.jl allows researchers to analyze data faster, inexpensively and multiple times while making small changes based on nuances in the data."

Emulators act as trained shortcuts, replicating the outcomes of full-scale simulations but at much higher speed. This enables scientists to test multiple cosmic scenarios quickly and apply advanced techniques such as gradient-based sampling to probe intricate models.

Validation tests confirmed Effort.jl's predictions closely matched those from EFTofLSS, with only minor error margins. The tool can also address observational quirks like data distortions and can be readily adapted to different research needs.

While Effort.jl accelerates computation, the team emphasizes that expertise from cosmologists remains central to interpreting results. Researcher insight and carefully chosen parameters still determine the scientific value of the predictions.

Looking ahead, Effort.jl is expected to support next-generation cosmology missions and joint analyses with other platforms. Its architecture could also prove valuable in fields such as weather and climate modeling.

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

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