Data · dataset · 2025
Implementation and verification of real- time nuclear signal pile-up and separation algorithm based on FPGA
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[Background] In the field of nuclear detection, real-time processing of detector signal at high count-rate is necessary.
Description
In high count-rate environments, the problem of nuclear signal pile-up can affect the analysis of subsequent results, so it is necessary to process the pile-up signal. The commonly used solution currently is to use pile-up recognition to reject, but this method can cause loss of counts and has limitations in some applications such as timing analysis.
[Purpose] This study proposes a real-time pile-up separation algorithm that performs fast/slow shaping processing on the original signal. [Methods] Fast shaping used the triangular shaping method to obtain the arrival time of the nuclear signal to determine whether pile-up occurred; Slow shaping adopted the trapezoidal shaping method to extract the energy information of the nuclear signal. At the same time, by using the symmetrical rising/falling edge features of the trapezoidal signals, the pile-up signal was separated according to the time point of pile-up occurrence to improve the counting performance of the system.
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The algorithm was simple and computationally efficient, making it easy to implement in field programmable gate array (FPGA). [Results] In the simulation test experiment, the proposed algorithm effectively increased the count rate by 4% to 26.5% while ensuring the accuracy of separation. In the radioactive source experiment, within the tested count rate range, the proposed algorithm effectively increased the count rate by 6.8% to 13.5%.
[Conclusion]The results of this study provide a new separation method for pile-up signal processing in high count-rate environments.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.hjs.00300 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Physics · Social Science
- Inferred from text
- Communications engineering 70% · Simulation 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.hjs.00300 | 12 d ago | JSON v1 |
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|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4006 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
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| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:physics | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |