General Lab Information

Data Science and Systems Integration

Groups

Data Science and Systems Integration (DSSI) consists of six multidisciplinary teams collaborating to maintain critical controls and data infrastructure for NSLS-II while driving research and development in data science and advanced instrumentation to enhance the facility.

Data Engineering

The Data Engineering group is responsible for all areas of data management, storage, and access. The Data Engineering group is currently focused on cutting-edge data security; advancing asynchronous scanning capabilities and handling the streams of data they generate; and developing and deploying the remote data access service, Tiled.

Engineering and Equipment

The Engineering and Equipment group is responsible for defining and maintaining the hardware infrastructure underpinning the controls and data systems at NSLS-II. This infrastructure includes a range of critical elements, such as networking, computers, controls racks, cabling, and many types of standard instrumentation.

Scientific Information Systems

The Scientific Information Systems (SIS) group focuses on information systems enabling scientific research, including tools to conduct research safely and efficiently. SIS's role is central to ensuring original scientific proposals are handled appropriately, and collecting information that enables scientific data security. SIS works to simplify access for the user community.

Instrument and Controls

The Instrumentation and Controls group is responsible for the design, procurement, installation, testing, and commissioning of control systems and components at NSLS-II. The group has developed specialized engineering solutions to meet the facility’s needs including innovative instrumentation hardware such as power supply controllers, beam position monitors, cell controllers, electrometers, and more. Additionally, the group develops control software for high-precision multi-axis motion controls and other commercial instrumentation.

Data Acquisition and Detectors

The Data Acquisition and Detectors (DAD) group optimizes data acquisition, supports beamline scientists, advances detector systems, and explores new detector technologies. The group develops and deploys data collection framework on beamlines, including Bluesky, Ophyd, and Ophyd-Async libraries, develops and supports the Phoebus toolkit for control systems, and maintains EPICS services for archiving, logging, alarms, and save-and-restore.

Data Analysis & Workflow Integration

The Data Analysis and Workflow Integration (DAWI) team leads a suite of projects that includes automation workflows for beamline data pipelines, feedback agents for autonomous experiments, artificial intelligence and machine learning (AI/ML) for image reconstruction and decision agents, visualization apps for exploring data, curated virtual desktop environments, and computing resources that support these efforts.