Tsuchinoko: a GUI for Autonomous Experiments
ORAL · Invited
Abstract
Tsuchinoko is a GUI application for visualization and control of intelligent, autonomous experiments. This project aims to deliver the power of adaptive experimental engines (i.e. gpCAM) to general synchrotron users with visualizations that facilitate exploration and exposition of autonomous experimental data/procedures. It is agnostic of experimental design, autonomous engine, and measurement systems. The design of Tsuchinoko follows modular service-oriented architecture such that computationally heavy or experimental control components may be dislocated from the client application for remote computing/execution.
This talk will present Tsuchinoko in the context of soft matter and polymer science problems, including demonstration and discussion of experiments run at NSLS-II at the CMS beamline.
Tsuchinoko is a Python Qt application which leverages OpenGL accelerated visualizations and the PyQtGraph library.
This talk will present Tsuchinoko in the context of soft matter and polymer science problems, including demonstration and discussion of experiments run at NSLS-II at the CMS beamline.
Tsuchinoko is a Python Qt application which leverages OpenGL accelerated visualizations and the PyQtGraph library.
* This work is supported by the Center for Advanced Mathematics for Energy Research Applications (CAMERA).
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Presenters
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Ronald Pandolfi
Lawrence Berkeley National Laboratory
Authors
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Ronald Pandolfi
Lawrence Berkeley National Laboratory