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Meta-learning for cosmological emulation: Rapid adaptation to new lensing kernels

Lookup NU author(s): Charlie MacMahon, Dr Dani LeonardORCiD, Dr Markus RauORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): MacMahon-Geller C, Leonard CD, Bull P, Rau MM

Publication type: Article

Publication status: Published

Journal: RAS Techniques and Instruments

Year: 2026

Volume: 5

Online publication date: 11/03/2026

Acceptance date: 03/03/2026

Date deposited: 16/04/2026

ISSN (electronic): 2752-8200

Publisher: Oxford University Press

URL: https://doi.org/10.1093/rasti/rzag020

DOI: 10.1093/rasti/rzag020

Data Access Statement: All data used in this work has been produced by the authors. Source code used to produce this data, as well as the results presented can be found in the associated GitHub repository found at https://github.com/CMacM/CosyMAML. In cases where the data used is too large to store on GitHub, the authors can provide it to interested parties upon reasonable request.


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Funding

Funder referenceFunder name
European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation pro- gramme (Grant agreement No. 948764)
the Science and Technology Facilities Council (STFC) [grant No. UKRI1172]

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