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Advancing Nuclear Safeguards: Automated Fission Track Analysis via Synthetic Model Generation and Image Analysis Tools

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F26722445%3A_____%2F24%3AN0000210" target="_blank" >RIV/26722445:_____/24:N0000210 - isvavai.cz</a>

  • Výsledek na webu

  • DOI - Digital Object Identifier

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Advancing Nuclear Safeguards: Automated Fission Track Analysis via Synthetic Model Generation and Image Analysis Tools

  • Popis výsledku v původním jazyce

    The Fission Track Analysis (FTA) method is a cornerstone in nuclear and safeguard investigations. This presentation unveils a pioneering approach that focuses on the automation of FTA through advanced image processing algorithms applied to microscope images. As a critical prelude to our research and development endeavors, our research group has successfully developed an application capable of generating synthetic models of fission tracks. Leveraging trajectory data from the fission products trajectory database, created through GEANT4 simulations, we generate synthetic models of fission tracks. This synthetic bank of images closely resembles light microscope images, providing a controlled and versatile dataset for R&D processes for developing robust image analysis tools. These tools aim to automate the identification of fission track clusters without human intervention, representing a significant leap toward the elimination of manual methods. The preliminary software for image processing demonstrates its efficacy in detecting fission track clusters. Notably, the software logs all fission sites by X-Y coordinates, providing a comprehensive record for analysis. Furthermore, the software calculates the number of tracks, enhancing the efficiency of data interpretation. The automation of Fission Track Analysis not only streamlines the identification process but also serves as a proactive measure to reduce the likelihood of human errors inherent in manual procedures. This is paramount for enhancing the accuracy and reliability of nuclear investigations. We emphasize the seamless integration of GEANT4 simulations into our methodology, ensuring a foundation rooted in accurate trajectory data. This integration bolsters the authenticity and applicability of our synthetic models . This presentation underscores the pivotal role of synthetic model generation and image analysis tools in automating Fission Track Analysis for nuclear safeguards. Our research strides towards a future where human intervention is minimized, thereby fortifying the precision and efficiency of nuclear investigations. See preliminary results in Fig 1. Presented at 53rd Journées des Actinides, 15. 4. 2024 – 18. 4. 2024, Cité Scientifique, 59650 Villeneuve-d'Ascq, Francie.

  • Název v anglickém jazyce

    Advancing Nuclear Safeguards: Automated Fission Track Analysis via Synthetic Model Generation and Image Analysis Tools

  • Popis výsledku anglicky

    The Fission Track Analysis (FTA) method is a cornerstone in nuclear and safeguard investigations. This presentation unveils a pioneering approach that focuses on the automation of FTA through advanced image processing algorithms applied to microscope images. As a critical prelude to our research and development endeavors, our research group has successfully developed an application capable of generating synthetic models of fission tracks. Leveraging trajectory data from the fission products trajectory database, created through GEANT4 simulations, we generate synthetic models of fission tracks. This synthetic bank of images closely resembles light microscope images, providing a controlled and versatile dataset for R&D processes for developing robust image analysis tools. These tools aim to automate the identification of fission track clusters without human intervention, representing a significant leap toward the elimination of manual methods. The preliminary software for image processing demonstrates its efficacy in detecting fission track clusters. Notably, the software logs all fission sites by X-Y coordinates, providing a comprehensive record for analysis. Furthermore, the software calculates the number of tracks, enhancing the efficiency of data interpretation. The automation of Fission Track Analysis not only streamlines the identification process but also serves as a proactive measure to reduce the likelihood of human errors inherent in manual procedures. This is paramount for enhancing the accuracy and reliability of nuclear investigations. We emphasize the seamless integration of GEANT4 simulations into our methodology, ensuring a foundation rooted in accurate trajectory data. This integration bolsters the authenticity and applicability of our synthetic models . This presentation underscores the pivotal role of synthetic model generation and image analysis tools in automating Fission Track Analysis for nuclear safeguards. Our research strides towards a future where human intervention is minimized, thereby fortifying the precision and efficiency of nuclear investigations. See preliminary results in Fig 1. Presented at 53rd Journées des Actinides, 15. 4. 2024 – 18. 4. 2024, Cité Scientifique, 59650 Villeneuve-d'Ascq, Francie.

Klasifikace

  • Druh

    O - Ostatní výsledky

  • CEP obor

  • OECD FORD obor

    20305 - Nuclear related engineering; (nuclear physics to be 1.3);

Návaznosti výsledku

  • Projekt

  • Návaznosti

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů