“青年科技工作者園地”第126次活動(dòng)
報(bào)告題目:Fast calorimeter simulation using GAN
報(bào)告人:方文興
時(shí)間:2020年4月9日 (周四) 上午10:00
會(huì)議室名稱:青年科技工作者園地
客戶端入會(huì)鏈接:http://caslink.ihep.ac.cn/meetingSchduler/invite/anno/0NHIFC5M
硬件終端入會(huì):撥打云會(huì)議室號(hào)9005069149
報(bào)告人簡(jiǎn)介:
方文興博士,中國(guó)科學(xué)院高能物理研究所博士后,2019年畢業(yè)于北京航空航天大學(xué)物理學(xué)院。方文興博士先前從事CMS實(shí)驗(yàn)物理分析工作,目前從事BESIII、CEPC和JUNO實(shí)驗(yàn)軟件開(kāi)發(fā)工作。
內(nèi)容簡(jiǎn)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.
計(jì)算中心 團(tuán)支部
2020.4.1
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