The Advanced Photon Source
a U.S. Department of Energy Office of Science User Facility

APS Scientific Computation Seminar Series

The Advanced Photon Source (APS) at Argonne organizes an ongoing seminar series, the APS Scientific Computation Seminar Series, focused on various aspects of computation for synchrotron science; talks are related to data analysis, reconstruction, theory, simulation, optimization, machine learning, automation, and visualization. The seminar provides an opportunity to present and learn about state-of-the-art software and the application of computational, AI/ML and mathematical techniques to synchrotron science.
Next Seminar:
Title:

ESRF New Tomography Software: Design, Capabilities and Lessons Learned
Presenter:

Henri Payno, Data Automation Unit, Pierre Paleo, Algorithms & Scientific Data Analysis; European Synchrotron Radiation Facility (ESRF)
Date: March 27, 2023
Time: 10:00 AM (Central Time)
Location:

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https://argonne.zoomgov.com/j/1600697899?pwd=QktQSmRjYnY2NUdWaDRoOVZ1TnU5UT09

Meeting ID: 160 069 7899
Passcode: 542813
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Meeting ID: 160 069 7899
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Abstract:

The ESRF upgrade, project EBS (Extremely Brilliant Source), came with a major overhaul of the acquisition and processing software. Specifically, the tomography acquisition and processing workflows were rebuilt from scratch, with unified solutions whenever possible, to deliver both a homogeneous experience across all its beamlines, and robust high-performance processing software. The new ESRF tomography reconstruction software is made of three main components:  nxtomomill: a data format converter, producing standard Nexus files,  nabu: a library for tomography reconstruction, designed for high performance and modularity, tomwer: workflow based GUI for building and automatizing tomographic reconstructions. It greatly decreases the steepness of the learning curve for performing tomographic reconstructions (from raw data to volumes). We present an overview of this software suite, along with its capabilities, design choices, and lessons learned.
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03.22.2023