Cargando…
Measurement of performance of the pixel neural network clustering algorithm of the ATLAS experiment at $\sqrt{s}$ = 13 TeV
The properties of pixel clusters in dense environments are studied with $\sqrt{s}$ = 13 TeV proton-proton collisions from the LHC, recorded by ATLAS from June to July 2015. A novel method to evaluate the performance of the artificial neural network used for identifying pixel clusters created by mult...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2015
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2054921 |