{"id":373,"date":"2016-07-14T15:03:46","date_gmt":"2016-07-14T18:03:46","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=373"},"modified":"2016-07-14T15:03:46","modified_gmt":"2016-07-14T18:03:46","slug":"vol4-no2-art5","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no2\/vol4-no2-art5\/","title":{"rendered":"Discrimina\u00e7\u00e3o Neural De Part\u00edculas Para Um Detector Submetido A Uma Alta Taxa De Eventos"},"content":{"rendered":"<p><strong>T\u00edtulo:<\/strong> Discrimina\u00e7\u00e3o Neural De Part\u00edculas Para Um Detector Submetido A Uma Alta Taxa De Eventos<\/p>\n<p><strong>Autores:<\/strong> Xavier, Thiago Ciodaro; Seixas, Jos\u00e9 Manoel de; Anjos, Andr\u00e9 Rabello dos<\/p>\n<p align=\"justify\"><strong>Resumo:<\/strong> Esse artigo mostra os resultados da aplica\u00e7\u00e3o de redes neurais no desenvolvimento do sistema de filtragem online do detector ATLAS, um dos principais detectores que estar\u00e3o posicionados ao redor do ponto de colis\u00e3o do colisionador de part\u00edculas de \u00faltima gera\u00e7\u00e3o, o LHC (Large Hadron Collider). As Regi\u00f5es de Interesse do calor\u00edmetro (medidor de energia) do ATLAS s\u00e3o mapeadas em 100 an\u00e9is conc\u00eantricos de deposi\u00e7\u00e3o de energia, os quais alimentam a rede neural classificadora, que identifica el\u00e9trons (sinal de interesse) e rejeita o sinal de jatos (ru\u00eddo de fundo). Como pr\u00e9-processamento dos sinais, utiliza-se um mapeamento de relev\u00e2ncia e a an\u00e1lise de componentes principais (PCA) objetivando uma compacta\u00e7\u00e3o eficiente da informa\u00e7\u00e3o. Deste modo, aumenta-se a velocidade de processamento e, eventualmente, a efici\u00eancia de detec\u00e7\u00e3o, com diminui\u00e7\u00e3o da taxa de falso alarme.<\/p>\n<p><strong>Palavras-chave:<\/strong> ATLAS; F\u00edsica de altas energias; Compacta\u00e7\u00e3o de sinais; Filtragem online; Classificadores; Redes Neurais<\/p>\n<p><strong>P\u00e1ginas:<\/strong> 13<\/p>\n<p><strong>C\u00f3digo DOI:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol4-no2-art5\">10.21528\/lmln-vol4-no2-art5<\/a><\/p>\n<p><strong>Artigo em PDF:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol4-no2-art5.pdf\" rel=\"\">vol4-no2-art5.pdf<\/a><\/p>\n<p><strong>Arquivo BibTex:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2016\/07\/vol4-no2-art5.bib\" rel=\"\">vol4-no2-art5.bib<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>T\u00edtulo: Discrimina\u00e7\u00e3o Neural De Part\u00edculas Para Um Detector Submetido A Uma Alta Taxa De Eventos Autores: Xavier, Thiago Ciodaro; Seixas, Jos\u00e9 Manoel de; Anjos, Andr\u00e9 Rabello dos Resumo: Esse artigo mostra os resultados da aplica\u00e7\u00e3o de redes neurais no desenvolvimento <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no2\/vol4-no2-art5\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":359,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-373","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Discrimina\u00e7\u00e3o Neural De Part\u00edculas Para Um Detector Submetido A Uma Alta Taxa De Eventos - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol4-no2\/vol4-no2-art5\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Discrimina\u00e7\u00e3o Neural De Part\u00edculas Para Um Detector Submetido A Uma Alta Taxa De Eventos - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"T\u00edtulo: Discrimina\u00e7\u00e3o Neural De Part\u00edculas Para Um Detector Submetido A Uma Alta Taxa De Eventos Autores: Xavier, Thiago Ciodaro; 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