An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower

Using a general Artificial Neural Network approach, we have obtained a neutral pion rejection varying between 45% and 75% depending on the energy and the incidence angle of the pion. The single photon efficiency was set to 91%. These results represent a significant improvement over previous analyses...

Descripción completa

Detalles Bibliográficos
Autores principales: Kyriakis, Aristotelis, Barney, David, Loukas, Demetrios, Mousa, Jehad
Lenguaje:eng
Publicado: 1999
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/687068
_version_ 1780901681530142720
author Kyriakis, Aristotelis
Barney, David
Loukas, Demetrios
Mousa, Jehad
author_facet Kyriakis, Aristotelis
Barney, David
Loukas, Demetrios
Mousa, Jehad
author_sort Kyriakis, Aristotelis
collection CERN
description Using a general Artificial Neural Network approach, we have obtained a neutral pion rejection varying between 45% and 75% depending on the energy and the incidence angle of the pion. The single photon efficiency was set to 91%. These results represent a significant improvement over previous analyses in reducing the neutral pion background to the two-photon decay of the intermediate mass Higgs boson.
id cern-687068
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1999
record_format invenio
spelling cern-6870682019-09-30T06:29:59Zhttp://cds.cern.ch/record/687068engKyriakis, AristotelisBarney, DavidLoukas, DemetriosMousa, JehadAn Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap PreshowerDetectors and Experimental TechniquesUsing a general Artificial Neural Network approach, we have obtained a neutral pion rejection varying between 45% and 75% depending on the energy and the incidence angle of the pion. The single photon efficiency was set to 91%. These results represent a significant improvement over previous analyses in reducing the neutral pion background to the two-photon decay of the intermediate mass Higgs boson.CMS-NOTE-1998-088oai:cds.cern.ch:6870681999-01-05
spellingShingle Detectors and Experimental Techniques
Kyriakis, Aristotelis
Barney, David
Loukas, Demetrios
Mousa, Jehad
An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower
title An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower
title_full An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower
title_fullStr An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower
title_full_unstemmed An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower
title_short An Artificial Neural Net Approach to Photon - Pi-zero Discrimination using the CMS Endcap Preshower
title_sort artificial neural net approach to photon - pi-zero discrimination using the cms endcap preshower
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/687068
work_keys_str_mv AT kyriakisaristotelis anartificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT barneydavid anartificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT loukasdemetrios anartificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT mousajehad anartificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT kyriakisaristotelis artificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT barneydavid artificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT loukasdemetrios artificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower
AT mousajehad artificialneuralnetapproachtophotonpizerodiscriminationusingthecmsendcappreshower

Ejemplares similares