PERFORMANCE EVALUATION OF ENERGY RECONSTRUCTION METHODS IN HIGH ENERGY PHYSICS EXPERIMENTS

Juan Lieber Marin, Eduardo Furtado de Simas Filho, Bernardo Sotto-Maior Peralva, Guilherme Inácio Gonçalves, Luciano Manhães de Andrade Filho, José Manoel de Seixas

Resumo


The discovery of particles that shape our universe pushes the scientific community to increasingly build sophisticated equipment. Particle accelerators are one of these complex machines that put known particle beams on a collision course at speeds close to that of light. When collisions occur, subproducts are produced and measured by the calorimeter system, which entirely absorbs these subproducts. Typically, a high-energy calorimeter is highly segmented, comprising thousands of dedicated readout channels. The present work evaluates the performance of two energy reconstruction algorithms: the OF (Optimal Filter) and MAE (Multi-Amplitude Estimator), which was recently proposed to deal with the signal superposition (pile-up). In order to evaluate the energy estimation efficiency, artificial data were used, considering several pile-up levels. The statistics from the energy estimation  is employed to compare the performance achieved by each method. A second analysis is made to quantify the MAE sensitivity to the pedestal parameter. The results show that the MAE method presents a better performance than the OF method and the usage of an uncalibrated pedestal value compromises the MAE performance.

Palavras-chave


High-energy physics; Parameter estimation; Optimal filtering; Signal pile-up

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DOI: http://dx.doi.org/10.21575/25254782rmetg2020vol5n21169

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Direitos autorais 2020 Juan Lieber Marin

Revista Mundi Engenharia, Tecnologia e Gestão ISSN 2525-4782

Qualis: B4 - Interdisciplinar, B5 - Geografia, B5 - Administração Pública e de Empresas, Ciências Contábeis e Turismo, B5 - Comunicação e Informação, B5 - Engenharias III