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An Alternative Method for TileCal Signal Detection and Amplitude Estimation

The Tile Barrel Calorimeter (TileCal) is the central section of the hadronic calorimeter of ATLAS. It is a key detector for the reconstruction of hadrons, jets, taus and missing ET and it assists the muon measurements due to a low signal-to-noise ratio. The energy deposited in each cell is read out...

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Detalles Bibliográficos
Autores principales: Sotto-Maior Peralva, B, Santiago Cerqueira, A, Manhães de Andrade Filho, L, Manoel de Seixas, J
Lenguaje:eng
Publicado: 2011
Materias:
Acceso en línea:http://cds.cern.ch/record/1398556
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author Sotto-Maior Peralva, B
Santiago Cerqueira, A
Manhães de Andrade Filho, L
Manoel de Seixas, J
author_facet Sotto-Maior Peralva, B
Santiago Cerqueira, A
Manhães de Andrade Filho, L
Manoel de Seixas, J
author_sort Sotto-Maior Peralva, B
collection CERN
description The Tile Barrel Calorimeter (TileCal) is the central section of the hadronic calorimeter of ATLAS. It is a key detector for the reconstruction of hadrons, jets, taus and missing ET and it assists the muon measurements due to a low signal-to-noise ratio. The energy deposited in each cell is read out by two electronic channels for redundancy and is estimated by reconstructing the amplitude of the digitized signal pulse sampled every 25 ns. This work presents an alternative approach for TileCal signal detection and amplitude estimation under low signal-to-noise ratio (SNR) conditions, exploring the applicability of a Matched Filter. The proposed method is compared to the Optimal Filter algorithm, that is currently been used at TileCal for energy reconstruction. The results for a simulated data set showed that for conditions where the signal pedestal could be considered stationary, the proposed method achieves a better SNR performance than the Optimal Filter technique.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
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spelling cern-13985562019-09-30T06:29:59Zhttp://cds.cern.ch/record/1398556engSotto-Maior Peralva, BSantiago Cerqueira, AManhães de Andrade Filho, LManoel de Seixas, JAn Alternative Method for TileCal Signal Detection and Amplitude EstimationDetectors and Experimental TechniquesThe Tile Barrel Calorimeter (TileCal) is the central section of the hadronic calorimeter of ATLAS. It is a key detector for the reconstruction of hadrons, jets, taus and missing ET and it assists the muon measurements due to a low signal-to-noise ratio. The energy deposited in each cell is read out by two electronic channels for redundancy and is estimated by reconstructing the amplitude of the digitized signal pulse sampled every 25 ns. This work presents an alternative approach for TileCal signal detection and amplitude estimation under low signal-to-noise ratio (SNR) conditions, exploring the applicability of a Matched Filter. The proposed method is compared to the Optimal Filter algorithm, that is currently been used at TileCal for energy reconstruction. The results for a simulated data set showed that for conditions where the signal pedestal could be considered stationary, the proposed method achieves a better SNR performance than the Optimal Filter technique.ATL-TILECAL-PROC-2011-016oai:cds.cern.ch:13985562011-11-15
spellingShingle Detectors and Experimental Techniques
Sotto-Maior Peralva, B
Santiago Cerqueira, A
Manhães de Andrade Filho, L
Manoel de Seixas, J
An Alternative Method for TileCal Signal Detection and Amplitude Estimation
title An Alternative Method for TileCal Signal Detection and Amplitude Estimation
title_full An Alternative Method for TileCal Signal Detection and Amplitude Estimation
title_fullStr An Alternative Method for TileCal Signal Detection and Amplitude Estimation
title_full_unstemmed An Alternative Method for TileCal Signal Detection and Amplitude Estimation
title_short An Alternative Method for TileCal Signal Detection and Amplitude Estimation
title_sort alternative method for tilecal signal detection and amplitude estimation
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/1398556
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