{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/density-conversion-between-1-d-and-3-d","title":"Density Conversion between 1-D and 3-D Stellar Models with 1D-MESA2HYDRO-3D","arxiv_id":"1907.09062","date":"2019-07-22","proceeding":null,"authors":["Meridith Joyce","Lianne Lairmore","Daniel J. Price","Thomas Reichardt","Shazrene Mohamed"],"abstract":"We present 1D-MESA2HYDRO-3D, an open source, Python-based software tool that provides an accessible means of generating physically motivated initial conditions (ICs) for hydrodynamical simulations from 1-D stellar structure models. We test 1D-MESA2HYDRO-3D on five stellar models generated with the MESA stellar evolution code and verify its capacity as an IC generator with the Phantom smoothed-particle hydrodynamics code \\citep{MESAIV, Phantom}. Consistency between the input density profiles, the 1D-MESA2HYDRO-3D-rendered particle distributions, and the state of the distributions after evolution over $10$ dynamical timescales is found for model stars ranging in structure and density from a radially extended supergiant to a white dwarf.","url_abs":"https://arxiv.org/abs/1907.09062v1","url_pdf":"https://arxiv.org/pdf/1907.09062v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"density-conversion-between-1-d-and-3-d","repo_url":"https://github.com/mjoyceGR/MESA2HYDRO","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}