arXiv is a free distribution service and an open-access archive for 2,316,761 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv
arXiv is a free distribution service and an open-access archive for 2,316,761 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.
F. Leclercq, und A. Heavens. (2021)cite arxiv:2103.04158Comment: 6+8 pages, 4+5 figures. Matches MNRAS Letters published version. Appendices provide supplementary information, including calculations of Fisher matrices. Our code and data are publicly available at https://github.com/florent-leclercq/correlations_vs_field.
S. Andrianomena, F. Villaescusa-Navarro, und S. Hassan. (2022)cite arxiv:2211.05000Comment: 6 pages, 3 figures, Accepted at the Workshop on Machine Learning and the Physical Sciences, Neural Information Processing Systems (NeurIPS) 2022.
P. de Haan, C. Rainone, M. Cheng, und R. Bondesan. (2021)cite arxiv:2110.02673Comment: 8 pages, 5 figures. Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021).
M. Schramm. Deutsche Geodätische Kommission Reihe C, Nr. 651, ISSN 0065-5325, ISBN 978-3-7696-5063-1, München (identical with: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, ISSN 0174-1454, Nr. 287, Hannover), (2010)