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Get Physics Done (GPD) is an open-source project designed to accelerate scientific research in physics by leveraging modern computational tools and automation techniques. It aims to simplify the process of performing simulations, calculations, and experimental analysis by providing structured workflows that integrate computational physics methods with reproducible research practices. The project focuses on reducing the friction involved in setting up experiments, running simulations, and analyzing results, allowing researchers to focus more on scientific insight rather than infrastructure. ...
The Plot.py project tries to supply a measurement data visualization and treatment framework being easy to use while keeping the freedom for advanced users to execute additional data treatment algorithms.
Plotting is done via gnuplot and the script used to produce the graphs can be exported for later use/changes.
Many raw experimental data types (mostly of x-ray and neutron scattering experiments) are supported with more to be added on user request.
The data treatment includes...
This is an implementation of post-process phonon analyzer, which calculates crystal phonon properties from input information calculated by external codes, e.g., first-principles calculation code.
A toolkit in C++ and python to process both experimental and simulation data of colloidal particles. Includes among others
* a multiscale particle tracking algorithm [1] whose C++ implementation is optimised for 3D confocal data. Python implementation is more versatile (2D and 3D data).
* a Leica file reader,
* Steindhard bond orientational order calculation
* a VTK file writer
1.
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Physically-accurate robotics simulator written in Python
...It's main purpose is to help researchers with to develop mobile manipulators and, in general, any multi-body system. It is open-source, modular, easy to learn and use, and can be a valuable tool in the process of robot design, in the development of control and reasoning algorithms, as well as in teaching and educational activities.
HOPSA, high oxygen pressure sputter automation, is a Python 3 project to control a step wise sample creation Process. Although written for this specific task it is easy to adopt for any experimental task which changes hardware parameters and waits for a specific condition before proceeding. The graphical interface (QT4) includes plotting (matplotlib), instrument configuration/monitoring and a program step creator. The communication with the hardware is independent of the GUI and any number of devices can be selected. ...
The EMCD Utility Program is designed to process EELS spectra (filtering, shift/stretch on a common energy scale) in order to generate qualitative EMCD signal by substracting the spectra. See also: