June 09, 2021 preprint Open access A machine learning approach to mapping baryons onto dark matter halos using the EAGLE and C-EAGLE simulations arXiv (Cornell University) Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 3 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access How gas flows shape the stellar–halo mass relation in the eagle simulation 2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 31 citations A sparse regression approach to modelling the relation between galaxy stellar masses and their host haloes 2021 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access 8 citations 2 results