NOBUGS 2026

Next-generation photon sources face increasing demands for handling high data throughput and highly diverse experimental methodologies. We have developed a modular workflow management system (WMS) designed to streamline data processing pipelines for multi-disciplinary beamlines.

The system is built upon our "Daisy" software framework, which adopts architectural patterns inspired by...

We present the NRS Agent, a data analysis agent system for Nuclear Resonant Scattering (NRS) experiments conducted at synchrotron light sources. The NRS Agent is a multi-agent assistant designed for end-to-end Nuclear Resonant Scattering workflows aimed at reducing manual effort and accelerating complex analyses. The agent is designed specifically for data recorded by the High Energy Photon...

We investigate the use of an AI Copilot to support beamline staff during experiments at the European XFEL. This is part of an effort to leverage generative AI to improve operations. The results of an initial survey of beamline staff indicated that interactions with the data acquisition (DAQ) system during beamtimes are a common source of problems, and are thus a focus of the initial prototype....

The Advanced Photon Source is transitioning to using the American Science Cloud (AmSC) for data analysis. The American Science Cloud is a centralized platform provided by the U.S. Department of Energy to accelerate scientific discovery by leveraging artificial intelligence. As a part of initial AmSC demonstrations, the APS engaged in two development efforts as an infrastructure partner team....

Recently a comprehensive REST and socket.io API on top of the BLISS controls system [1] has been developed allowing for remote control and monitoring of core beamline components as well as launching of scans and macros. The REST API has opened up new possibilities for creating simple User Interfaces (UIs) for beamline monitoring. To this extent blisswebui has been created, a light-weight web...

Sardana and Bluesky are two widely adopted frameworks for experiment control and data acquisition at synchrotron beamlines. While Bluesky's queue server provides a modern interface for remote experiment orchestration, many beamlines continue to rely on Sardana macros as their primary control workflow. This creates a challenge for facilities seeking to modernize their interfaces without...

Recent advancements in high-repetition-rate x-ray sources and experimental complexity at large-scale facilities, such as FLASH (Free electron LASer in Hamburg), have placed increasing demands on data acquisition and analysis systems. While HPSS (High Performance Storage Systems) and HPC (High Performance Computing) clusters provide efficient resources for processing the vast data generated,...

To support Phase II of CSNS and overcome key limitations of existing data management system (DMS), a new generation DMS tailored for AI4Science has been designed. A new metadata standard for photon and radiation experiments will be applied to enable unified management across the entire experiment lifecycle and multiple facilities. The system federates NoSQL and vector databases, supporting...

DNS is a multipurpose diffuse neutron scattering instrument. It supports polarized powder and single-crystal diffraction studies and also enables neutron time-of-flight (TOF) spectroscopy measurements when an optional disk chopper is inserted into the neutron beam between the polarizer and the sample. The instrument is particularly powerful for investigating magnetic correlations in complex...

The OSIRIS backscattering indirect geometry spectrometer at ISIS Neutron and Muon Source is undergoing a major upgrade with the addition of a silicon crystal analyser and position sensitive detectors, complementing the existing graphite analyser and scintillation detectors, respectively. This will extend the accessible timescale from picoseconds to nanoseconds, opening new scientific...

At the European XFEL (EuXFEL), modern photon science experiments generate high-rate data streams requiring low-latency processing and precise timing. Such constraints demand novel approaches to data processing that go beyond conventional centralized architectures and enable computation closer to the data source.

In this work, an FPGA-based edge computing platform integrated into Karabo, the...

Taranta is a modern web application built on the TANGO control system framework, providing interactive dashboards for hierarchical device visualization, live attribute monitoring, and remote command execution. This talk presents the work carried out at DESY Photon Science to deploy and integrate Taranta into the DESY infrastructure, enabling secure and scalable remote access to beamline...

Note: Please see attachment, it has figure and references

Data-driven methods are rapidly transforming experimental science [1], not only through advances in artificial intelligence but also by enabling scriptable access to scientific instruments [2]. Providing users with programmable control over instrumentation opens new opportunities for statistical analysis, adaptive experimentation,...

The OSCARS project PaN-Finder explores how recent advances in artificial intelligence, particularly large language models (LLMs) and vector embeddings, can be leveraged to enhance FAIRness of open data in the European photon and neutron community. We developed a retrieval-augmented generation (RAG) system that improves data findability and relevance in the search results by enabling both...

At European XFEL, the in-house developed Supervisory Control and Data Acquisition (SCADA) system, Karabo [1], has enabled scientific experiments at the photon beamlines since free-electron laser operations began in 2017. Karabo 2, released in 2016, was developed to meet the requirements of day-one operations, delivering essential functionality while defining core concepts intended to scale...

From the very early days of Karabo, the SCADA system in use at European XFEL (EuXFEL) for instruments and photon systems, interaction with other control systems has been a key requirement. The interoperability with DOOCS have been particularly important, as this is the control system in use for the EuXFEL accelerator at DESY. Hence, different interfaces were developed for bi-directional...

At the European XFEL, the in-house developed Supervisory Control and Data Acquisition (SCADA) system, Karabo [1], has supported scientific experiments at the photon beamlines since user operations began in 2017. The Karabo GUI, the main graphical user interface of the system, was developed as a multipurpose desktop application based on Python [2] and Qt [3] and serves as the primary entry...

At European XFEL, scientific data is managed in a hierarchical storage system that combines high-performance storage (GPFS), a dCache mass storage system, and a tape archive. In this architecture, dCache serves as an intermediate layer between GPFS and tape systems, enabling seamless access to raw data from the Maxwell compute cluster throughout the custody period defined by policy. As data...

Imaging detectors play a key role in X-ray experiments at synchrotron facilities, and their continuous increase in data generation capabilities keeps opening opportunities for new science in many domains. The integration of such fast instruments is a challenge in terms of data acquisition (DAQ) [1], processing and storage. Consequently, the ESRF has developed LIMA2 [2], a scalable framework...

The Magnetic Materials Group Toolbox is a collaborative project across the Magnetic Materials Group of beamlines at Diamond Light Source. Its purpose is to bring common data-analysis tools together into a single Python module, enabling users to write simple analysis scripts and Jupyter notebooks for routine measurements. Common functionality include reading scan data from NeXus files,...

Operating a large-scale scientific facility such as the European XFEL requires reliable and efficient on-call duty (OCD) management to support 24/7 operations. Initially, these processes relied on manual spreadsheet-based workflows, which were error-prone, non-scalable, and inefficient, consuming effort that should instead be dedicated to development and operational tasks, such as assessing...

Between PDF analysis on 1D powder data and 3D-ΔPDF on single crystal data, there is an unexplored area called PDF analysis on 2D data for samples that exhibit fiber-texture and whose scattering signals are cylindrically symmetric in reciprocal space. To measure such kind of samples, the preferred method is collect a series of diffractograms with densely spaced incidence/tilting angles, before...

Synchrotron X-ray diffraction (XRD) experiments are a versatile tool in understanding material properties and processes in a wide range of applications. However, advanced synchrotron diffraction data analysis has traditionally required strong physics expertise, limiting broader adoption of diffraction methods. In addition, faster experiments and the increasing use of in situ environments...

The increasing demand for open, reproducible, and FAIR-compliant research has made robust data management and persistent identification of data, samples, instruments and processing workflows essential in modern scientific large-scale infrastructures. This work presents the current implementation of dataset publication and DOI minting within SciCat at DESY. Datasets are curated, enriched with...

OpenHKL is software for the reduction of single crystal diffraction data, written in C++ and with a modern Qt graphical interface. Given a sequence of diffraction images captured at incremented sample rotation angles, it produces a list of indexed peaks with integrated intensities. It is open-source, has a Python scripting interface, and natively handles neutron diffraction data. Developed at...

In 2020, ESRF installed and commissioned the EBS storage ring, which significantly increased X-ray flux. Taking advantage of the scientific opportunities presented by the EBS beam, ESRF has simultaneously invested heavily to equip beamlines with progressively larger and faster detectors

In anticipation of the data deluge from the EBS upgrade, ESRF has created a forward-looking,...

Title: Toward Autonomous Beamline Operation: Early Integration of a Beamline Agent in BLISS at PETRA P25

Abstract:
Automation remains a central objective in modern synchrotron beamline operation, promising improved efficiency, reproducibility, and user accessibility. At the P25 beamline of PETRA III, we are taking initial steps toward this goal by introducing a beamline agent...

Why does the development of scientific software often deviate from robust software engineering standards? Reflecting on the motivations behind each reveals the tacit route to what is deemed successful software. Industry software is typically designed for scalability, stability, and broad applicability, while scientific software prioritizes adaptability, exploration, and domain-specific...

Agentic AI systems (large language models equipped with tools to read files, execute code and query databases) offer an alternative approach to beamline data analysis. Users can instruct an AI agent in natural language, and the agent in turn plans and executes the full pipeline autonomously, reducing time from data collection to interpretation.

We present a pilot project for AI beamline...

Daiquiri [1] is a web based User Interface (UI) framework for control system monitoring and data acquisition. It provides simple, intuitive, and responsive interfaces to control and monitor hardware, launch acquisition sequences, and manage associated metadata. Daiquiri concerns itself only with the UI layer, it does not provide a scan engine or controls system but can be easily integrated...

Unlocking the potential of experimental data, our project enhances the findability of experimental datasets across photon and neutron (PaN) facilities and materials science laboratories through a foundational classification of experimental techniques. The integration of the PaNET ontology with the NeXus Ontology enables the establishment of a foundational classification of PaN experiment...

The OSCARS project represents a unique European collaboration that unites Research Infrastructures across the European Science Clusters (SCs) representing the key domains: environmental research, physics and astronomy, photon and neutron, social, and life sciences. At its core, OSCARS focuses on promoting open science and FAIR data principles and addresses this challenge by three primary...

HDF5 is foundational to data acquisition, reduction, analysis, and archival at large-scale research facilities. Its deployment makes integrity, trustworthy extensibility, performance, and maintainability ecosystem concerns, not library-only concerns. This poster presents coordinated work across HDF5 SHINES, S2-D2, and IOWarp.

HDF5 SHINES has assessed the library, format, extensions, and...