“青年科技工作者园地”第126次活动
报告题目：Fast calorimeter simulation using GAN
报告人：方文兴
时间：2020年4月9日 (周四) 上午10:00
会议室名称：青年科技工作者园地
客户端入会链接：http://caslink.ihep.ac.cn/meetingSchduler/invite/anno/0NHIFC5M
硬件终端入会：拨打云会议室号9005069149
报告人简介：
方文兴博士，中国科学院高能物理研究所博士后，2019年毕业于北京航空航天大学物理学院。方文兴博士先前从事CMS实验物理分析工作，目前从事BESIII、CEPC和JUNO实验软件开发工作。
内容简介：
In high energy physics (HEP), comparing simulative and experimental results is a basic method to get the conclusion from the experiment. Geant4 is mostly used simulation software in HEP, it gives very precise simulation results. However, the simulation of particle shower in calorimeter is very time consuming. In order to produce amount of simulation data, it is needed to develop fast calorimeter simulation methods. This talk will give a presentation about the fast calorimeter simulation study in BESIII and CEPC experiments based on Generative Adversarial Networks (GAN) from deep learning.
计算中心 团支部
2020.4.1
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