{"id":13177,"date":"2026-10-30T10:56:33","date_gmt":"2026-10-30T01:56:33","guid":{"rendered":"https:\/\/unit.nifs.ac.jp\/research\/?post_type=news&p=13177"},"modified":"2026-10-30T11:01:37","modified_gmt":"2026-10-30T02:01:37","slug":"news-13177","status":"publish","type":"news","link":"https:\/\/unit.nifs.ac.jp\/research\/archives\/news\/news-13177","title":{"rendered":"\u8907\u5408\u5927\u57df\u30b7\u30df\u30e5\u30ec\u30fc\u30b7\u30e7\u30f3\u30e6\u30cb\u30c3\u30c8\u30bb\u30df\u30ca\u30fc\uff082026\u5e7412\u67081\u65e5\uff09"},"content":{"rendered":"\n

[\u65e5\u6642]\u30002026 \u5e74 12 \u6708 1 \u65e5 (\u706b) 16 \u6642 \u301c 17\u6642<\/p>\n\n\n\n

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\u92ad\u8c37 \u8aa0\u53f8\u3000Dr. Seiji Zenitani (Spare Research Institute, Austrian Academy of Sciences)<\/p>\n\n\n\n

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[\u8b1b\u6f14\u984c\u76ee] <\/p>\n\n\n\n

Recent advances in numerical algorithms for particle-in-cell (PIC) simulations<\/p>\n\n\n\n

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[\u8b1b\u6f14\u6982\u8981]
\u3000\u3000Particle-in-cell (PIC) simulation is one of the most important research tools for understanding kinetic processes in space, astrophysical, and fusion plasmas. While the PIC method was established in the 1970s, there is a strong demand for overhauling it, as computing environments have been rapidly evolving. In this contribution, we review our recent progress in numerical algorithms for PIC simulation.
\u3000\u3000First, we discuss initialization methods for particle velocities. We require a Kappa distribution for heliospheric problems, a loss-cone distribution for inner-magnetospheric problems, and a Maxwell-J\u00fcttner distribution in high-energy astrophysics, but it was not clear how to generate them. Based on fundamental random variables such as uniform, normal, and gamma variates, we have developed a series of Monte Carlo procedures for generating non-Maxwellian distributions.
\u3000\u3000Second, we examine particle integrators, which solve the equations of motion of all particles at every timestep. This is arguably the most important component in PIC simulations. Although the Boris solver (or the Buneman-Boris method) has long been used, higher-accuracy methods are desirable in the coming era. Using subcycling and higher-order corrections, we have developed next-generation Boris solvers. We discuss their accuracy, stability, and computational costs.
\u3000\u3000Finally, we propose a workaround for an MHD closure problem relevant to MHD-PIC multihierarchy simulations.<\/p>\n\n\n\n

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[\u304a\u554f\u5408\u305b] \u3000cg-sim\"\"<\/p>\n\n\n\n

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