nice_scheme_plotter

nice_scheme_plotter is the repository dedicated for drawing the schemes of an excited nuclei gamma emissions.

Dependencies

nice_scheme_plotter is written in Python 3.6 and it needs following libraries:

• matplotlib - python plotting library
• pandas - python data analysis library

Features

The data has to be kept in the .xlsx file (which is recommended) or in two .csv files (one file provides information about excited nuclear levels and second one about gamma transitions).

The program adjust the most of plot properties by itself, but it is also possible to set up all parameters (just like output figure width, or height; picture dpi, font sizes, annotations widths, transitions spacing, etc.). It is also possible to easily set up some parameters of specific level or transition line. User can change it's color, linewidth or linestyle.

It is also possible to render all captions with LaTex.

Plots can be saved as both raster and vector graphics.

Levels and transitions data format

At this point (release 1.01) program can recognise following levels properties: level energy, spin value, parity, and lifetime; transition energy, energy uncertainity, from which level it starts, and to which level it goes, transtition intensity, it's uncertainity and transition multipolarity. But the database .xls columns must contain two sheets:

1. sheet named transitions with column names:

   I, dI , g_energy, g_energy_err, from_lvl, to_lvl, lvl_lifetime

2. sheet named levels with column names:

   lvl_energy, spin, parity, lifetime.

(!) If you don't have specific parameters for your data just keep these columns (or cells) empty, but don't omitt it's names.

Example

Examplary code is shown in scheme_plot_example.py.

Versioning

Realease 1.01 (2018)

Author

Ewa Adamska

Ewa.Adamska@fuw.edu.pl

This project is licensed under the MIT License - see the LICENSE.md file for details