Study of Dynamic Time Over Threshold (DTOT) Method for Application in Spectroscopy Signal Analysis Toward a Low-Complexity Front-End Electronics With High Spectroscopy Resolution and Wide Energy Range

The traditional approach of spectroscopy signals acquisition and analysis comprises digitization performed ideally by a high bit resolution and short sampling period flash analog-to-digital converter, followed by subsequent digital processing requiring high-computational performance. However, some particular applications cannot implement that traditional approach while demanding comparable high spectroscopic performance due to hardware limitations mainly given by operational conditions, availability of qualified electronic components, power consumption limit, and so on. The dynamic time over threshold (DTOT) conversion method-based processing of spectroscopy signals represents an undemanding alternative contrary to that traditional approach. The detailed study of DTOT method-based processing was performed with the aim to maximize achievable performance via extension of the dynamic range, allowing to process a wide span of input spectroscopy signals. The contribution also presents practical implementation of front-end electronics integrating an enhanced DTOT converter structure dedicated to a gamma detector (based on SiPM-type sensors), while test measurements with common reference radiation sources were performed to provide comparative results.

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Publication Details

Journal
IEEE Transactions on Nuclear Science
Published
2024-10-10
DOI
https://doi.org/10.1109/tns.2024.3477748
Citations
3
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.63

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article

Study of Dynamic Time Over Threshold (DTOT) Method for Application in Spectroscopy Signal Analysis Toward a Low-Complexity Front-End Electronics With High Spectroscopy Resolution and Wide Energy Range

O. Urban, F. Mamedov, G. Ahmadov, Pavel Kučera et al.
3 citations
IEEE Transactions on Nuclear Science
Integrated Circuits and Semiconductor Failure Analysis
0.63
article

Study of Dynamic Time Over Threshold (DTOT) Method for Application in Spectroscopy Signal Analysis Toward a Low-Complexity Front-End Electronics With High Spectroscopy Resolution and Wide Energy Range

O. Urban, F. Mamedov, G. Ahmadov, Pavel Kučera, Azer Sadigov, F. Ahmadov, M. Holík, Milan Malich, R. Filgas, O. Pavlas
article en
3 citations

Abstract

The traditional approach of spectroscopy signals acquisition and analysis comprises digitization performed ideally by a high bit resolution and short sampling period flash analog-to-digital converter, followed by subsequent digital processing requiring high-computational performance. However, some particular applications cannot implement that traditional approach while demanding comparable high spectroscopic performance due to hardware limitations mainly given by operational conditions, availability of qualified electronic components, power consumption limit, and so on. The dynamic time over threshold (DTOT) conversion method-based processing of spectroscopy signals represents an undemanding alternative contrary to that traditional approach. The detailed study of DTOT method-based processing was performed with the aim to maximize achievable performance via extension of the dynamic range, allowing to process a wide span of input spectroscopy signals. The contribution also presents practical implementation of front-end electronics integrating an enhanced DTOT converter structure dedicated to a gamma detector (based on SiPM-type sensors), while test measurements with common reference radiation sources were performed to provide comparative results.

IEEE Transactions on Nuclear ScienceVol. 72(3)
University of New York in Prague (CZ), Joint Institute for Nuclear Research (RU), Pilsen Tools (Czechia) (CZ), Czech Technical University in Prague (CZ)
HORIZON EUROPE Marie Sklodowska-Curie Actions
Affordable and clean energy
Openalex Percentile: Top 31%
Integrated Circuits and Semiconductor Failure Analysis
0.63
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