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PyXScat

Description of the project

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)

0) From scratch using conda environment

conda create --name my_env
conda activate my_env
conda install python=3.10

0) From scratch using virtual environment

cd /users/.../python
mkdir my_env
cd my_env
python -m venv .
cd Scripts
activate.bat

Install using clone

1) Clone the project into your directory (e.g. /user/Python/)

cd /user/Python
git clone https://gitlab.esrf.fr/xmas-bm28/data_analysis/pyxscat.git

2) Install locally the package, including all its sub-packages

cd pyxscat
pip install -e .

Install through requirements.txt

1) Download the requirements.txt file from the GitLab

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

Run pyxscat

1) Once the module is installed in the path of your environment, open the GUI:

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

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