The XSD-SDM and XSD-CXS groups co-host a seminar series that focuses on scientific computation for APS experiments. The series focuses on advanced software and computing infrastructure for analysis, reduction, reconstruction, and simulation. It provides an opportunity to learn about state-of-the-art computational techniques and tools and how they are being applied to science at the APS. It will start with talks from Argonne staff who are working on projects in collaboration or in support of APS science.

Sessions will normally be held on the 3rd Monday of the month at 1:00 p.m. and last approximately one hour.

APS Scientific Computation Seminar Series Schedule

The group maintains state-of-the-art software development methods and tools.

• Agile Processes - The creation of software requires planning and organization. Although the requirements for some software are often vaguely defined and rapidly changing, quality should not be sacrificed. Industry-standard Agile development techniques address this requirement by using an iterative approach to requirements gathering, developing, and testing that are designed for rapid deployment and are focused on delivering high-quality, robust software. Software created by the Scientific Software Engineering and Data Management (SDM) group used for experiments and data analysis by beamline staff and users is developed using the industry standard Agile methodology.

More information about software developed by SDM and others at the APS may be found on the APS GitHub organization and on the APS Scientific Software page:

• APS GitHub Organization
• APS Scientific Software Page

If you have a great idea for a project, or are interested in requesting help from the Scientific Software Engineering and Data Management (SDM) group, please contact one of the group members listed or Nicholas Schwarz at nschwarz dot aps dot anl dot gov.