{"title":"宇宙射线压力各向异性不稳定性的动力学模拟:饱和状态下的宇宙射线散射率","authors":"Xiaochen Sun, Xue-Ning Bai, Xihui Zhao","doi":"arxiv-2409.08592","DOIUrl":null,"url":null,"abstract":"Cosmic ray (CR) feedback plays a vital role in shaping the formation and\nevolution of galaxies through their interaction with magnetohydrodynamic waves.\nIn the CR self-confinement scenario, the waves are generated by the CR\ngyro-resonant instabilities via CR streaming or CR pressure anisotropy, and\nsaturate by balancing wave damping. The resulting effective particle scattering\nrate by the waves, {\\nu}eff, critically sets the coupling between the CRs and\nbackground gas, but the efficiency of CR feedback is yet poorly constrained. We\nemploy 1D kinetic simulations under the Magnetohydrodynamic-Particle-In-Cell\n(MHD-PIC) framework with the adaptive {\\delta}f method to quantify {\\nu}eff for\nthe saturated state of the CR pressure anisotropy instability (CRPAI) with\nion-neutral friction. We drive CR pressure anisotropy by expanding/compressing\nbox, mimicking background evolution of magnetic field strength, and the CR\npressure anisotropy eventually reaches a quasi-steady state by balancing\nquasi-linear diffusion. At the saturated state, we measure {\\nu}eff and the CR\npressure anisotropy level, establishing a calibrated scaling relation with\nenvironmental parameters. The scaling relation is consistent with quasi-linear\ntheory and can be incorporated to CR fluid models, in either the single-fluid\nor p-by-p treatments. Our results serve as a basis towards accurately\ncalibrating the subgrid physics in macroscopic studies of CR feedback and\ntransport.","PeriodicalId":501343,"journal":{"name":"arXiv - PHYS - High Energy Astrophysical Phenomena","volume":"41 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Kinetic simulations of the cosmic ray pressure anisotropy instability: cosmic ray scattering rate in the saturated state\",\"authors\":\"Xiaochen Sun, Xue-Ning Bai, Xihui Zhao\",\"doi\":\"arxiv-2409.08592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cosmic ray (CR) feedback plays a vital role in shaping the formation and\\nevolution of galaxies through their interaction with magnetohydrodynamic waves.\\nIn the CR self-confinement scenario, the waves are generated by the CR\\ngyro-resonant instabilities via CR streaming or CR pressure anisotropy, and\\nsaturate by balancing wave damping. The resulting effective particle scattering\\nrate by the waves, {\\\\nu}eff, critically sets the coupling between the CRs and\\nbackground gas, but the efficiency of CR feedback is yet poorly constrained. We\\nemploy 1D kinetic simulations under the Magnetohydrodynamic-Particle-In-Cell\\n(MHD-PIC) framework with the adaptive {\\\\delta}f method to quantify {\\\\nu}eff for\\nthe saturated state of the CR pressure anisotropy instability (CRPAI) with\\nion-neutral friction. We drive CR pressure anisotropy by expanding/compressing\\nbox, mimicking background evolution of magnetic field strength, and the CR\\npressure anisotropy eventually reaches a quasi-steady state by balancing\\nquasi-linear diffusion. At the saturated state, we measure {\\\\nu}eff and the CR\\npressure anisotropy level, establishing a calibrated scaling relation with\\nenvironmental parameters. The scaling relation is consistent with quasi-linear\\ntheory and can be incorporated to CR fluid models, in either the single-fluid\\nor p-by-p treatments. Our results serve as a basis towards accurately\\ncalibrating the subgrid physics in macroscopic studies of CR feedback and\\ntransport.\",\"PeriodicalId\":501343,\"journal\":{\"name\":\"arXiv - PHYS - High Energy Astrophysical Phenomena\",\"volume\":\"41 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - PHYS - High Energy Astrophysical Phenomena\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.08592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - High Energy Astrophysical Phenomena","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Kinetic simulations of the cosmic ray pressure anisotropy instability: cosmic ray scattering rate in the saturated state
Cosmic ray (CR) feedback plays a vital role in shaping the formation and
evolution of galaxies through their interaction with magnetohydrodynamic waves.
In the CR self-confinement scenario, the waves are generated by the CR
gyro-resonant instabilities via CR streaming or CR pressure anisotropy, and
saturate by balancing wave damping. The resulting effective particle scattering
rate by the waves, {\nu}eff, critically sets the coupling between the CRs and
background gas, but the efficiency of CR feedback is yet poorly constrained. We
employ 1D kinetic simulations under the Magnetohydrodynamic-Particle-In-Cell
(MHD-PIC) framework with the adaptive {\delta}f method to quantify {\nu}eff for
the saturated state of the CR pressure anisotropy instability (CRPAI) with
ion-neutral friction. We drive CR pressure anisotropy by expanding/compressing
box, mimicking background evolution of magnetic field strength, and the CR
pressure anisotropy eventually reaches a quasi-steady state by balancing
quasi-linear diffusion. At the saturated state, we measure {\nu}eff and the CR
pressure anisotropy level, establishing a calibrated scaling relation with
environmental parameters. The scaling relation is consistent with quasi-linear
theory and can be incorporated to CR fluid models, in either the single-fluid
or p-by-p treatments. Our results serve as a basis towards accurately
calibrating the subgrid physics in macroscopic studies of CR feedback and
transport.