Developing Firmware and Algorithms for the Liquid Argon Signal Processor

In this report we discuss the development of various firmware and algorithms for the digital electronics of the Liquid Argon Signal Processor (LASP), which is designed to measure and reconstruct the energy deposited into the Liquid Argon Calorimeter cells. We first examine the development of firmwar...

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Detalles Bibliográficos
Autores principales: Ma, Xiangyuan, Vachon, Brigitte
Lenguaje:eng
Publicado: 2023
Materias:
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2875234
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author Ma, Xiangyuan
Vachon, Brigitte
author_facet Ma, Xiangyuan
Vachon, Brigitte
author_sort Ma, Xiangyuan
collection CERN
description In this report we discuss the development of various firmware and algorithms for the digital electronics of the Liquid Argon Signal Processor (LASP), which is designed to measure and reconstruct the energy deposited into the Liquid Argon Calorimeter cells. We first examine the development of firmware for PATGEN, TTCGEN, 10Gbe Base R/KR network protocols. Then we explore the development of novel machine learning algorithms for optimal energy reconstruction given the digital current signals. Lastly, we investigate various hardware tests to examine the functionality of the future electronic boards.
id cern-2875234
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2023
record_format invenio
spelling cern-28752342023-10-17T18:55:30Zhttp://cds.cern.ch/record/2875234engMa, XiangyuanVachon, BrigitteDeveloping Firmware and Algorithms for the Liquid Argon Signal ProcessorDetectors and Experimental TechniquesIn this report we discuss the development of various firmware and algorithms for the digital electronics of the Liquid Argon Signal Processor (LASP), which is designed to measure and reconstruct the energy deposited into the Liquid Argon Calorimeter cells. We first examine the development of firmware for PATGEN, TTCGEN, 10Gbe Base R/KR network protocols. Then we explore the development of novel machine learning algorithms for optimal energy reconstruction given the digital current signals. Lastly, we investigate various hardware tests to examine the functionality of the future electronic boards.CERN-OPEN-2023-019oai:cds.cern.ch:28752342023-08-18
spellingShingle Detectors and Experimental Techniques
Ma, Xiangyuan
Vachon, Brigitte
Developing Firmware and Algorithms for the Liquid Argon Signal Processor
title Developing Firmware and Algorithms for the Liquid Argon Signal Processor
title_full Developing Firmware and Algorithms for the Liquid Argon Signal Processor
title_fullStr Developing Firmware and Algorithms for the Liquid Argon Signal Processor
title_full_unstemmed Developing Firmware and Algorithms for the Liquid Argon Signal Processor
title_short Developing Firmware and Algorithms for the Liquid Argon Signal Processor
title_sort developing firmware and algorithms for the liquid argon signal processor
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2875234
work_keys_str_mv AT maxiangyuan developingfirmwareandalgorithmsfortheliquidargonsignalprocessor
AT vachonbrigitte developingfirmwareandalgorithmsfortheliquidargonsignalprocessor

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