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This seminar series 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. APS Scientific Computation Seminar Series Home |
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Analyzing X-ray Diffraction Data Using the Open-Source HEXRDGUI Application - May 15, 2023 |
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Patrick Avery, Senior R&D Engineer, Kitware Abstract (pdf) |
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ESRF New Tomography Software: Design, Capabilities and Lessons Learned - March 27, 2023 |
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Henri Payno, Data Automation Unit, Pierre Paleo, Algorithms & Scientific Data Analysis; European Synchrotron Radiation Facility (ESRF) Abstract (pdf) |
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SciCat and SciLog: How the Scientific Data Curation Group Helps the Scientists at PSI - March 13, 2023 |
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Carlo Minotti, Software Engineer in the Scientific Data Curation Group, Paul Scherrer Institut Abstract (pdf) |
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An Overview of Lossless Data Compression - February 27, 2023 |
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Gamil Cassam-Chenai, Computer Science Engineer, Synchrotron SOLEIL Abstract (pdf) |
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Enlightening AI-driven Discovery with the Advanced Photon Source - February 13, 2023 |
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Eliu Huerta, Lead for Translational AI and Computational Scientist Data Science and Learning Division, Argonne National Laboratory Abstract (pdf) |
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TomocuPy: a GPU Alternative to TomoPy - January 30, 2023 |
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Viktor Nikitin X-Ray Science Division, Argonne National Laboratory Abstract (pdf) |