{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Science Tech Brief By HackerNoon","title":"The Numerical Methods We Used to Study Black Holes","html":"","width":"100%","height":180,"duration":248,"description":"\n This story was originally published on HackerNoon at: https://hackernoon.com/the-numerical-methods-we-used-to-study-black-holes.\n Our numerical scheme utilizes the GRMHD code KHARMA[1], a performance-portable C++ implementation based on iharm3D; iharm3D is itself an extension of HARM. \n Check more stories related to science at: https://hackernoon.com/c/science.\n You can also check exclusive content about #science, #black-hole, #black-hole-physics, #magnetized-bonds, #outer-space, #galactic-nucleus, #researching-outer-space, #black-hole-calculations, and more.\n \n \n This story was written by: @magnetosphere. Learn more about this writer by checking @magnetosphere's about page,\n and for more stories, please visit hackernoon.com.\n \n \n \n Our numerical scheme utilizes the GRMHD code KHARMA[1], a performance-portable C++ implementation based on iharm3D (Prather et al. 2021); iharm3D is itself an extension of HARM, an efficient secondorder conservative finite-volume scheme for solving MHD equations on Eulerian meshes in stationary curved space-times (Gammie et al. 2003). KHARMA offers a more flexible, portable, and scalable implementation suitable for multiple uses, by leveraging the Parthenon Adaptive Mesh Refinement Framework and the Kokkos programming model (Grete et al. 2023; Trott et al. 2022).\n \n ","thumbnail_url":"https://img.transistorcdn.com/S66fL9skYMhlajDauLWqBH_bXds_u8JsPbvAZlh45OA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxMjczLzE2ODM1/ODI0MjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}