Electromagnetic split-off recognition with artificial neural networks

Document #:

GlueX-doc-1449-v1

Document type:

Technical Note

Submitted by:

Curtis A. Meyer

Updated by:

Curtis A. Meyer

Document Created:

16 Mar 2010, 08:33

Contents Revised:

16 Mar 2010, 08:33

Metadata Revised:

16 Mar 2010, 08:38

Abstract:

A method to use neural networks to identify electromagnetic splitoffs.

Files in Document:

• pdf (Neural_Net.pdf, 563.5 kB)

Topics:

• Computing:Reconstruction

Authors:

• Curtis A. Meyer

Keywords:

reconstruction

Related Documents:

• GlueX-doc-1444: Reconstruction of omega and X(2000) events
• GlueX-doc-1446: SMART---Splitoff Recognition in Pure Neutral Events
• GlueX-doc-1447: Splitoff Recognition with DolbyC
• GlueX-doc-1448: Hadronic Splitoffs
• GlueX-doc-1450: Split-off Recognition in Data with charged tracks: The TAXI Logics

Referenced by:

• GlueX-doc-1445: User Guide for CBDROP, A Charged Splitoff Supression Package
• GlueX-doc-1446: SMART---Splitoff Recognition in Pure Neutral Events
• GlueX-doc-1447: Splitoff Recognition with DolbyC
• GlueX-doc-1448: Hadronic Splitoffs
• GlueX-doc-1450: Split-off Recognition in Data with charged tracks: The TAXI Logics