Ring-shaped Calorimetry Information for a Neural Egamma Identification with ATLAS Detector

17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Victor Da Fonseca Pinto, João^1

Federal University of Rio de Janeiro, Rio de Janeiro, Brazil^1

关键词: Background rejection;    Collision events;    High-level triggers;    Hypothesis testing;    Identification process;    Online selection;    Reconstruction algorithms;    Region of interest;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/762/1/012049/pdf
DOI  :  10.1088/1742-6596/762/1/012049

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This article presents the identification process of electrons based only on calorimeter information. It is based on the usage of ring-shaped description for a region of interest of the calorimeter which explores the shower shape propagation throughout the ATLAS calorimeters. This information is fed into a multivariate discriminator, currently an artificial neural network, responsible for hypothesis testing. The concept is evaluated for online selection (trigger), used for reducing storage rate into viable levels while preserving collision events containing desired signals. Preliminary results from Monte Carlo simulation data indicate that the background rejection can be reduced by as much as 50 % over the current method used in the High-Level Trigger, allowing for high-latency reconstruction algorithms such as tracking to run at a later stage of the trigger.