ACAT 2017

Solving the Signal-Versus-Background Classification Problem Using Neural Network

24 Aug 2017, 16:00

45m

The Commons (Alder Hall)

Poster Track 2: Data Analysis - Algorithms and Tools Poster Session

Speaker

Ms Rui Li (Sun Yat-sen University)

Description

 In order to find the rare particles generated from the collisions at high-energy particle colliders, we need to solve the signal-versus-background classification problems. It turns out neural network can be used here to improve the performance without any manually constructed inputs.


 This is the content of my oral report:

1. A brief introduction to neural network
2. Detail information about the neural network I used to solve this problem
3. Performance on the benchmark datasets

Peer reviewing

Paper

Accepted on 23 Apr 2018 by Sergei Gleyzer

ACAT_Proceeding_lirui.pdf