HHGtoolkit

Libraries for plotting HHG and TDSE data from the HDF5 files and analysis.

Library developed by Tadeas Nemec.

Contains

Library contains in total 6 submodules: conversions.py, Hfn2.py, init_parameters.py, plotting.py, process.py, utilites.py.

conversions.py: methods for unit conversion.

Hfn2.py: Hankel transform methods.

init_parameters.py: contains methods for easier data generation for the HHG code.

plotting.py: plotting methods including spectrum, fields, Gabor transform plotting etc.

process.py: some numerical methods and data processing methods.

utilites.py: Data and Dataset classes for HDF5 files loading and Beam class for gaussian beams plotting and parameters.

Installation using pip

Run the following command in terminal:

pip install git+https://github.com/nemectad/HHGtoolkit.git

Custom installation

1. Download the directory from Github: https://github.com/nemectad/HHGtoolkit.git
2. Move into the Download directory and move the folder into a dedicated directory.
3. In terminal, move into the root folder of the module.
4. Run the following command in your base environment:

python3 setup.py install

5. All done.

Now you should be able to access the methods contained in the module simply by typing

import HHGtoolkit