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Machine Learning Application in Supersymmetry
2017-10-31  【 】【打印】【关闭

CAS Key Laboratory of Theoretical Physics

Institute of Theoretical Physics

Chinese Academy of Sciences

Lunch Seminar

Title

题目

Machine Learning Application in Supersymmetry

Speaker

报告人

杨金民

Affiliation

所在单位

ITP

Date

日期

2017年10月31日(周 二)中午12:00

Venue

地点

Conference Hall 322, ITP/理论物理所322报告厅

 

Abstract

摘要

Will talk about a Machine Learning approach for a fast and reliable exploration of high dimensional parameter space by using machine learning models to evaluate the quality of random parameter sets. As a proof-of-concept, this approach is applied to several benchmark models including a supersymmetry scenario. The finding is that such an approach can significantly reduce the computational cost and ensure the discovery of all survived regions.

Contact Person

所内联系人

杨刚
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