Novel position reconstruction methods for highly granular electromagnetic calorimeters

We present work on design and reconstruction methods for sampling electromagnetic calorimeters with emphasis on highly granular designs. We use the clustered logarithmically weighted center-of-gravity estimator (lwk-means) for initial benchmarking of position resolution. We find that the θ and φ res...

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Main Authors: Madison Brendon, Wilson Graham
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2024/25/epjconf_lcws2024_03007.pdf
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author Madison Brendon
Wilson Graham
author_facet Madison Brendon
Wilson Graham
author_sort Madison Brendon
collection DOAJ
description We present work on design and reconstruction methods for sampling electromagnetic calorimeters with emphasis on highly granular designs. We use the clustered logarithmically weighted center-of-gravity estimator (lwk-means) for initial benchmarking of position resolution. We find that the θ and φ resolution for high energy photons in Si-W designs improves when increasing both sampling frequency and sampling thickness. Augmenting only one is found to have mixed results. We find that lwk-means is unable to effectively use calorimeter transverse cell sizes smaller than 2 mm. New reconstruction methods for highly granular designs are developed. We find that methods that only measure the initial particle shower and disregard the remaining shower can take advantage of cell sizes down to at least 10 µm, significantly outperforming the benchmark method. Of these, the best method and design is the initial particle shower “single hit” method using the calorimeter design with the highest sampling frequency and sampling fraction.
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series EPJ Web of Conferences
spelling doaj-art-6d6d0acda0ba48e0b2967a0497ca5b732025-01-06T11:33:47ZengEDP SciencesEPJ Web of Conferences2100-014X2024-01-013150300710.1051/epjconf/202431503007epjconf_lcws2024_03007Novel position reconstruction methods for highly granular electromagnetic calorimetersMadison Brendon0Wilson Graham1Department of Physics and Astronomy, University of KansasDepartment of Physics and Astronomy, University of KansasWe present work on design and reconstruction methods for sampling electromagnetic calorimeters with emphasis on highly granular designs. We use the clustered logarithmically weighted center-of-gravity estimator (lwk-means) for initial benchmarking of position resolution. We find that the θ and φ resolution for high energy photons in Si-W designs improves when increasing both sampling frequency and sampling thickness. Augmenting only one is found to have mixed results. We find that lwk-means is unable to effectively use calorimeter transverse cell sizes smaller than 2 mm. New reconstruction methods for highly granular designs are developed. We find that methods that only measure the initial particle shower and disregard the remaining shower can take advantage of cell sizes down to at least 10 µm, significantly outperforming the benchmark method. Of these, the best method and design is the initial particle shower “single hit” method using the calorimeter design with the highest sampling frequency and sampling fraction.https://www.epj-conferences.org/articles/epjconf/pdf/2024/25/epjconf_lcws2024_03007.pdf
spellingShingle Madison Brendon
Wilson Graham
Novel position reconstruction methods for highly granular electromagnetic calorimeters
EPJ Web of Conferences
title Novel position reconstruction methods for highly granular electromagnetic calorimeters
title_full Novel position reconstruction methods for highly granular electromagnetic calorimeters
title_fullStr Novel position reconstruction methods for highly granular electromagnetic calorimeters
title_full_unstemmed Novel position reconstruction methods for highly granular electromagnetic calorimeters
title_short Novel position reconstruction methods for highly granular electromagnetic calorimeters
title_sort novel position reconstruction methods for highly granular electromagnetic calorimeters
url https://www.epj-conferences.org/articles/epjconf/pdf/2024/25/epjconf_lcws2024_03007.pdf
work_keys_str_mv AT madisonbrendon novelpositionreconstructionmethodsforhighlygranularelectromagneticcalorimeters
AT wilsongraham novelpositionreconstructionmethodsforhighlygranularelectromagneticcalorimeters