Skip to main content

A Python Simulation Toolkit for 1D Ultrafast Dynamics in Condensed Matter

Project description

Welcome to udkm1Dsim

Documentation Status CI pypi codecov

The udkm1Dsim toolbox is a collection of Python classes and routines to simulate the thermal, structural, and magnetic dynamics after laser excitation as well as the according X-ray scattering response in one-dimensional sample structures after ultrafast excitation.

The toolbox provides the capabilities to define arbitrary layered structures on the atomic level including a rich database of element-specific physical properties. The excitation of ultrafast dynamics is represented by an N-temperature-model which is commonly applied for ultrafast optical excitations. Structural dynamics due to thermal stresses are calculated by a linear-chain model of masses and springs. The implementation of magnetic dynamics can be easily accomplished by the user for the individual problem.

The resulting X-ray diffraction response is computed by kinematical or dynamical X-ray theory which can also include magnetic scattering.

The udkm1Dsim toolbox is highly modular and allows to introduce user-defined results at any step in the simulation procedure.

The udkm1Dsim toolbox was initially developed for MATLAB® in the Ultrafast Dynamics in Condensed Matter group of Prof. Matias Bargheer at the University of Potsdam, Germany. The MATLAB® source code is still available at github.com/dschick/udkm1DsimML.

The current toolbox, written in Python, is maintained by Daniel Schick at the Max-Born-Institute, Berlin, Germany.

Documentation

The documentation can be found at udkm1Dsim.readthedocs.io.

Citation

Please cite the current preprint if you use the toolbox in your own work:

D. Schick, udkm1Dsim - A Python toolbox for simulating 1D ultrafast dynamics in condensed matter, Comput. Phys. Commun. 266, 108031 (2021) (preprint).

You can also cite the original publication if appropriate:

D. Schick, A. Bojahr, M. Herzog, R. Shayduk, C. von Korff Schmising & M. Bargheer, udkm1Dsim - A Simulation Toolkit for 1D Ultrafast Dynamics in Condensed Matter, Comput. Phys. Commun. 185, 651 (2014) (preprint).

Installation

You can either install directly from pypi.org using the command

pip install udkm1Dsim

or if you want to work on the latest develop release you can clone udkm1Dsim from the main git repository:

git clone https://github.com/dschick/udkm1Dsim.git udkm1Dsim

To work in editable mode (source is only linked but not copied to the python site-packages), just do:

pip install -e ./udkm1Dsim

Or to do a normal install with

pip install ./udkm1Dsim

Optionally, you can also let pip install directly from the repository:

pip install git+https://github.com/dschick/udkm1Dsim.git

You can have the following optional installation to enable parallel computations, unit tests, as well as building the documentation:

pip install udkm1Dsim[parallel]
pip install udkm1Dsim[testing]
pip install udkm1Dsim[documentation]

Contribute & Support

If you are having issues please let us know via the issue tracker.

You can also ask questions, share ideas, or engage with community members via the discussions.

You can contribute to the project via pull-requests following the GitHub flow concept.

License

The project is licensed under the MIT license.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

udkm1dsim-2.2.0.tar.gz (3.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

udkm1dsim-2.2.0-py3-none-any.whl (3.7 MB view details)

Uploaded Python 3

File details

Details for the file udkm1dsim-2.2.0.tar.gz.

File metadata

  • Download URL: udkm1dsim-2.2.0.tar.gz
  • Upload date:
  • Size: 3.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for udkm1dsim-2.2.0.tar.gz
Algorithm Hash digest
SHA256 b7639ce88c7c08e1f1647bd4f27301127d3fb0e525d73e801e01c9d9864a2930
MD5 7880d2ca934dfd7514ec626b1fd7f87b
BLAKE2b-256 85d0868675fe9daa989c1e94b96142cf751accac5c98f4fa32f0e452c02472bd

See more details on using hashes here.

File details

Details for the file udkm1dsim-2.2.0-py3-none-any.whl.

File metadata

  • Download URL: udkm1dsim-2.2.0-py3-none-any.whl
  • Upload date:
  • Size: 3.7 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for udkm1dsim-2.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 23d4efcc73d728037fa0cd9d271e1405f228672472c7b935588fd8a15afc07fa
MD5 630d3808c2fa8c2aaf3988fc887229c9
BLAKE2b-256 be3fcdbc5f1660cc19835b50773394c02723e1176677900ac631d52f2f5dfcac

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page