PyXScat is a module that allows a quick, straightforward visualization and reduction of 2D scattering patterns.
The main tool of PyXScat is its Graphical User Interface. The philosophy of PyXScat matches the following point:
- Abstraction of FabIO, pyFAI and pygix. Visualization of 2D patterns, 1D integrations, transform to reciprocal (Q) maps.
- Minimum learning curve for non-experienced users.
- Live, tunable and quick subtraction of reference data.
- Bridge between data collection and deep data analysis.
![alt text](https://gitlab.esrf.fr/xmas-bm28/data_analysis/pyxscat/-/raw/main/Tutorial/PyXScat_screenshot.png)
![alt text](https://gitlab.esrf.fr/xmas-bm28/data_analysis/pyxscat/-/raw/main/Tutorial/PyXScat_screenshot_4.png)
![alt text](https://gitlab.esrf.fr/xmas-bm28/data_analysis/pyxscat/-/raw/main/Tutorial/PyXScat_screenshot_3.png)
![alt text](https://gitlab.esrf.fr/xmas-bm28/data_analysis/pyxscat/-/raw/main/Tutorial/PyXScat_screenshot_2.png)
conda create --name my_env
conda activate my_env
conda install python=3.10
cd /users/.../python
mkdir my_env
cd my_env
python -m venv .
cd Scripts
activate.bat
cd /user/Python
git clone https://gitlab.esrf.fr/xmas-bm28/data_analysis/pyxscat.git
cd pyxscat
pip install -e .
2) Go to your python destinated directory and install the required packages (where the requirements.txt is stored)
cd /user/Python
pip install -r requirements.txt
pyxscat
2) Tutorial of the GUI. You have a .ppt file in the PyXScat folder, to learn a minimum set of steps to start handlind your data:
Tutorial/pyxscat_tutorial.ppt