Fisher Matrix Stability Article Swipe

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Naren Bhandari , C. Danielle Leonard , Markus Michael Rau , Rachel Mandelbaum ·

YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2101.00298

Fisher forecasts are a common tool in cosmology with applications ranging from survey planning to the development of new cosmological probes. While frequently adopted, they are subject to numerical instabilities that need to be carefully investigated to ensure accurate and reproducible results. This research note discusses these challenges using the example of a weak lensing data vector and proposes procedures that can help in their solution.

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Stability (learning theory) Matrix (chemical analysis) Mathematics Computer science Materials science Composite material Machine learning

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2101.00298
PDF: https://arxiv.org/pdf/2101.00298
OA Status: green
Cited By: 13
References: 7
Related Works: 10
OpenAlex ID: https://openalex.org/W3118285137

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OpenAlex ID: https://openalex.org/W3118285137

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DOI: https://doi.org/10.48550/arxiv.2101.00298

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Title: Fisher Matrix Stability

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Type: preprint

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Language: en

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Publication year: 2021

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Publication date: 2021-01-01

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Authors: Naren Bhandari, C. Danielle Leonard, Markus Michael Rau, Rachel Mandelbaum

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Landing page: https://arxiv.org/abs/2101.00298

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PDF URL: https://arxiv.org/pdf/2101.00298

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OA status: green

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OA URL: https://arxiv.org/pdf/2101.00298

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Concepts: Stability (learning theory), Matrix (chemical analysis), Mathematics, Computer science, Materials science, Composite material, Machine learning

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Cited by: 13

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Citations by year (recent): 2025: 2, 2024: 2, 2023: 5, 2022: 4

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References (count): 7

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