OSL-CGCD 0.1.5

programa para la deconvolución de curvas OSL utilizando el método CGCD

OSL_CGCD

Program for the deconvolution of OSL curves using the CGCD method.

Author

EDWIN JOEL PILCO QUISPE
Email: [e-mail]

Description

This package allows you to analyze and deconvolute OSL (Optically Stimulated Luminescence) curves using the CGCD method. It includes tools to process Excel files, fit curves, and save results.

Installation

You can install the package from PyPI:

python -m pip install OSL_CGCD

Or install it locally from the generated .whl file:

cd dist
python -m pip install osl_cgcd-0.1.1-py3-none-any.whl

Basic Usage

Create a script and use the included module:

from OSL_CGCD import modulo
# Example: run analysis functions

Package Structure

• modulo.py: Deconvolution of OSL curves from Excel files. Allows you to select the file to process and saves results in the deconvolution_results folder. Combines results from several columns into a single continuous file for further analysis.

Example Execution

1. Run modulo.py to process your Excel file:

   python src/OSL_CGCD/modulo.py
   

Publishing to PyPI

To publish a new version:

1. Update the version in setup.py.
2. Build the package:

   python -m build
   

3. Upload the package:

   python -m twine upload dist/*
   

Requirements

• Python >= 3.6
• Recommended packages: numpy, scipy, matplotlib, pandas, prettytable

License

This project is free to use for academic and personal purposes.