Research on task scheduling simulation system for multi-agent-based

从人工智能领域中发展起来的Agent技术,为仿真系统的建模提供了新的方法和思路,文章提出了基于多Agent的仿真系统研究方法,并以烟草行业制丝生产线的实际排产为应用背景,对系统进行了验证

Kr L X-ray and Au M X-ray emission for 1.5 MeV-3.9 MeV Kr~(13+) ions impacting on an Au target

<span style="color: rgb(51, 51, 51); font-family: arial, helvetica, sans-serif; font-size: 13px; line-height: 22px; background-color: rgb(248, 248, 248);">Kr L X-ray and Au M X-ray emission for Kr13+ ions with energies of 1.5 MeV and 3.9 MeV impacting on an Au target are investigated at heavy ion research facility in Lanzhou (HIRFL). The L-shell X-ray yield per ion of Kr is measured as a function of incident energy. In addition, Kr L X-ray production cross section is extracted from the yield and compared with the result obtained from the classical binary-encounter approximation (BEA) model. Furthermore, the intensity ratio of the Au M-beta 3 to M-alpha 1 X-ray is investigated as a function of incident energy.</span