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Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network
The artificial neural network approach is used here for a separation of signals from a single photon and products of pi0, eta, K^0_s meson neutral decay channels basing on the data from CMS electromagnetic calorimeter only. Rejection values for three considered types of mesons as a function of a sin...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
2001
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1126-6708/2004/04/007 http://cds.cern.ch/record/516121 |
| _version_ | 1780897622923411456 |
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| author | Bandurin, D.V. Skachkov, N.B. |
| author_facet | Bandurin, D.V. Skachkov, N.B. |
| author_sort | Bandurin, D.V. |
| collection | CERN |
| description | The artificial neural network approach is used here for a separation of signals from a single photon and products of pi0, eta, K^0_s meson neutral decay channels basing on the data from CMS electromagnetic calorimeter only. Rejection values for three considered types of mesons as a function of a single photon selection efficiencies are obtained for two Barrel and one Endcap pseudorapidity regions and initial Et values equal to 20, 40, 60 and 100 GeV. |
| id | cern-516121 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2001 |
| record_format | invenio |
| spelling | cern-5161212019-09-30T06:29:59Zdoi:10.1088/1126-6708/2004/04/007http://cds.cern.ch/record/516121engBandurin, D.V.Skachkov, N.B.Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural networkDetectors and Experimental TechniquesThe artificial neural network approach is used here for a separation of signals from a single photon and products of pi0, eta, K^0_s meson neutral decay channels basing on the data from CMS electromagnetic calorimeter only. Rejection values for three considered types of mesons as a function of a single photon selection efficiencies are obtained for two Barrel and one Endcap pseudorapidity regions and initial Et values equal to 20, 40, 60 and 100 GeV.The artificial neural network approach is used for separation of signals from a single photon $\gamma$ and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels on the basis of the data from the CMS electromagnetic calorimeter alone. Rejection values for the three types of mesons as a function of single photon selection efficiencies are obtained for two Barrel and one Endcap pseudorapidity regions and initial $\Et$ of 20, 40, 60 and 100 GeV.hep-ex/0108051JINR-E2-2001-259oai:cds.cern.ch:5161212001-08-31 |
| spellingShingle | Detectors and Experimental Techniques Bandurin, D.V. Skachkov, N.B. Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network |
| title | Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network |
| title_full | Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network |
| title_fullStr | Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network |
| title_full_unstemmed | Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network |
| title_short | Separation of a single photon and products of the $\pi^0,\eta, K^0_s$ meson neutral decay channels in the CMS electromagnetic calorimeter using neural network |
| title_sort | separation of a single photon and products of the $\pi^0,\eta, k^0_s$ meson neutral decay channels in the cms electromagnetic calorimeter using neural network |
| topic | Detectors and Experimental Techniques |
| url | https://dx.doi.org/10.1088/1126-6708/2004/04/007 http://cds.cern.ch/record/516121 |
| work_keys_str_mv | AT bandurindv separationofasinglephotonandproductsofthepi0etak0smesonneutraldecaychannelsinthecmselectromagneticcalorimeterusingneuralnetwork AT skachkovnb separationofasinglephotonandproductsofthepi0etak0smesonneutraldecaychannelsinthecmselectromagneticcalorimeterusingneuralnetwork |