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An Optimized Radiation Tolerant Baseline Correction Filter for HEP Using AI Methodologies

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Autor(es):
Sanches, Bruno [1] ; Van Noije, Wilhelmus [1]
Número total de Autores: 2
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Sch Engn, Dept Elect Syst Engn, BR-05508010 Sao Paulo - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS; v. 68, n. 5, p. 1789-1799, MAY 2021.
Citações Web of Science: 0
Resumo

This paper presents an improved baseline correction filter to be used in the readout front-end ASICs of gaseous detector systems in high energy physics experiments. The digital filter is based on an FIR section and used in the data pipeline running in real-time thought the input signals, allowing adequate data compression by the subsequent blocks in the processing chain. The proposed design was optimized to cope with the power and area trade-offs while hardening the block using redundancy and a novel automated design system based on artificial intelligence. This optimizer is also discussed including its logic and improvements using genetic algorithms with dynamic mutation and cross-over probabilities connected to run-time EDA tools. The designed filter was fabricated in 130 nm process, packaged and tested in the Peletron particle accelerator at the University of Sao Paulo. The device was irradiated and received a total dose of 70 krad during about one week of exposition to alpha particles without any measured failure, validating the design and solving the vulnerability with a small increase in the channel area of just 0.07%. (AU)

Processo FAPESP: 14/12664-3 - Desenvolvimento de instrumentação científica para o experimento ALICE do LHC-CERN
Beneficiário:Wilhelmus Adrianus Maria van Noije
Modalidade de apoio: Auxílio à Pesquisa - Projetos Especiais
Processo FAPESP: 13/06885-4 - Projeto de um ASIC de aquisição e processamento digital de sinais para o time projection chamber do experimento ALICE
Beneficiário:Wilhelmus Adrianus Maria van Noije
Modalidade de apoio: Auxílio à Pesquisa - Regular