{"title":"SPD Online Filter High-Throughput Processing Middleware","authors":"N. V. Greben, D. A. Oleynik, A. A. Sychugov","doi":"10.1134/S1063779626700334","DOIUrl":"10.1134/S1063779626700334","url":null,"abstract":"<p>The SPD Online Filter is a specialized data computing facility designed for the high-throughput, multi-step initial processing of data from the SPD detector the NICA collider. This paper details the system’s architecture and illustrates how the platform is designed to meet the SPD experiment’s demands for scalability, throughput, and operational resilience during initial data processing. The system accomplishes this by coordinating data management, workflow orchestration, and workload management.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"627 - 629"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How to Build an Effective Data-Mesh","authors":"E. V. Ibatullin, A. V. Bogdanov","doi":"10.1134/S1063779626700061","DOIUrl":"10.1134/S1063779626700061","url":null,"abstract":"<p>We propose a multi-tier architecture for scalable, tightly integrated management of heterogeneous storage implementations. After formalizing the problem and requirements, we analyze enabling technologies that address current shortcomings and introduce an architectural template suitable for adapted deployments. We implement this template in the multi-tier data-mesh, which unifies cloud and grid computing paradigms to provide policy-driven data placement, efficient data movement, and strong coordination across globally distributed storage resources used in megascience experiments.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"540 - 543"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
F. V. Prokoshin, A. V. Anisenkov, Z. A. Budtueva, B. P. Dvizov, S. V. Gussalov, R. A. Magkaev
{"title":"Information Systems for the SPD Experiment","authors":"F. V. Prokoshin, A. V. Anisenkov, Z. A. Budtueva, B. P. Dvizov, S. V. Gussalov, R. A. Magkaev","doi":"10.1134/S1063779626700474","DOIUrl":"10.1134/S1063779626700474","url":null,"abstract":"<p>The SPD experiment will collect trillions of events, producing around ten petabytes yearly. A similar amount of simulated data will be generated. To effectively access and handle this data, and to support detector operation, a number of information systems (IS) have to be created. A catalog of the SPD physics events (Event Index) will help to access event data in the distributed storage system. A catalog of SPD hardware components will assist in detector maintenance and data acquisition. To support data production, a number of registries will be developed, including production, software, geometry and magnetic field map registries.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"671 - 673"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SPD Data Management","authors":"A. S. Konak, A. Sh. Petrosyan","doi":"10.1134/S1063779626700322","DOIUrl":"10.1134/S1063779626700322","url":null,"abstract":"<p>Active work continues on the development of the SPD (Spin Physics Detector) facility at the NICA accelerator complex, which is located at the Joint Institute for Nuclear Research (JINR). Since the facility will collect a large amount of data, data processing and storage will be carried out in a distributed computing environment. In this regard, there is a need for specialized software for effective data management. At the current stage of research, significant amounts of data have already been produced, and the Rucio system is used as a management tool, a standard solution for data management in the field of high energy physics. The article describes the experience of putting Rucio into operation for the SPD experiment. Integration with other services, development of additional utilities, automation of work processes is also being considered.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"624 - 626"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. L. Savelev, A. L. Ivannikov, S. V. Solodov, L. A. Maryushin, A. A. Valova, T. V. Korenkova
{"title":"Experimental Evaluation of the Reliability of AI-Generated Text Identification in Scientific Literature","authors":"I. L. Savelev, A. L. Ivannikov, S. V. Solodov, L. A. Maryushin, A. A. Valova, T. V. Korenkova","doi":"10.1134/S1063779626700085","DOIUrl":"10.1134/S1063779626700085","url":null,"abstract":"<p>This is an English-language abstract. The article is devoted to evaluating the effectiveness of existing systems for identifying AI-generated text in scientific papers. The study analyzed six systems for their ability to detect AI-generated text in academic works. The probability scores for AI generation varied from 5 to 67% for the same text, depending on the system, method, and conditions of the check. The key factors leading to false results were the stylistic features of academic writing. The research calls into question the objectivity of current tools and emphasizes the need to develop specialized methods adapted to the scientific style of writing.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"549 - 552"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. N. Korotkin, A. A. Kozlovsky, F. V. Prokoshin, L. L. Simbiriatin
{"title":"Building, Testing and Deployment of SPD Applied Software","authors":"R. N. Korotkin, A. A. Kozlovsky, F. V. Prokoshin, L. L. Simbiriatin","doi":"10.1134/S1063779626700383","DOIUrl":"10.1134/S1063779626700383","url":null,"abstract":"<p>This work focuses on the development of methods for automating the processes of building, testing, and deploying applied software for the distributed data processing system of the SPD experiment at the NICA collider. The study involves a systematic analysis of the existing development process, identifying key issues such as the high intensity of manual operations and the lack of a unified methodology. Based on the analysis of modern practices and technologies, methods have been developed, incorporating GitFlow, CI/CD tools, and containerization using Docker and Apptainer. These methods automate the creation of virtual environments, the building and testing of software modules, and the publication and deployment of images to container registries. They also automate the building and creation of containers with the version of the applied software and perform basic functional testing of the created image. The practical implementation of methods has been deployed in several projects within the SPD collaboration, leading to a reduction in preparation time for releasing new software versions, and improving the quality and reproducibility of software products.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"642 - 644"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Federated Analytics and Agents Architecture","authors":"D. E. Namiot","doi":"10.1134/S1063779626700115","DOIUrl":"10.1134/S1063779626700115","url":null,"abstract":"<p>Federated data analysis is a technology for building distributed data analysis systems where no data is moved from their storage (collection) locations for analysis. This is a data analysis technology that defines a new level of access and transfers analysis and calculations directly to where the data is located. Federated data analysis allows researchers to safely analyze data from different organizations. Restrictions on data access, cybersecurity requirements, and the development of edge device intelligence are all factors that will ensure growing interest in this technology. The paper examines issues of designing the architecture of such systems.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"560 - 562"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496733","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SPD Production Control Panel","authors":"N. G. Monakov, A. Sh. Petrosyan, A. S. Konak","doi":"10.1134/S1063779626700358","DOIUrl":"10.1134/S1063779626700358","url":null,"abstract":"<p>The Spin Physics Detector (SPD) experiment is being built at many sites of the Joint Institute for Nuclear Research, including a full software suite for every stage of data processing. Based on the Technical Design Report, the collaboration anticipates high luminosity, which will generate large volumes of data. To handle this workload at scale, we must either launch hundreds of nearly identical processing tasks by hand, including manual parameter collection or develop a specialized system to streamline, automate routine steps and gather all actions needed to start task in one place. In this talk, we present the design and work done of such production control panel system.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"633 - 635"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Pilot Applications for Distributed Job Execution in the SPD Online Filter System","authors":"L. R. Romanychev, D. A. Oleynik, A. B. Degtyarev","doi":"10.1134/S1063779626700267","DOIUrl":"10.1134/S1063779626700267","url":null,"abstract":"<p>This paper details the Pilot agent, a core component of the SPD Online Filter system designed for high-throughput data processing. We describe its architecture, components, and operational workflow, which leverages a late-binding mechanism for efficient resource utilization. The results of initial testing using a DAQ emulator are presented. The obtained data confirm the high efficiency and scalability of the developed solution for managing large-scale computational tasks.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"606 - 608"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D. A. Maksimov, Yu. N. Maslov, A. M. Suharev, A. A. Zhadan, D. S. Zhadan
{"title":"Software for Future BINP HEP Experiments","authors":"D. A. Maksimov, Yu. N. Maslov, A. M. Suharev, A. A. Zhadan, D. S. Zhadan","doi":"10.1134/S1063779626700437","DOIUrl":"10.1134/S1063779626700437","url":null,"abstract":"<p>Budker Institute of Nuclear Physics has several prospects on future experiments. Ranging from large complexes such as well known Super Charm-Tau (SCT) factory, or recent project of the detector and VEPP-6 accelerator (there is no official name for the detector yet), to small setups for detector studies. Next release of the Aurora framework, its core technologies, structure and roadmap for the near future is presented.</p>","PeriodicalId":729,"journal":{"name":"Physics of Particles and Nuclei","volume":"57 4","pages":"657 - 660"},"PeriodicalIF":0.5,"publicationDate":"2026-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148496667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}