# Welcome to udkm1Dsim
[](https://udkm1dsim.readthedocs.io/en/latest/?badge=latest)
[](https://codecov.io/gh/dschick/udkm1Dsim)
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](https://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](http://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)](https://doi.org/10.1016/j.cpc.2021.108031) [(preprint)](https://arxiv.org/abs/2102.12144).
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)](http://doi.org/10.1016/j.cpc.2013.10.009) [(preprint)](http://www.udkm.physik.uni-potsdam.de/medien/udkm1Dsim/udkm1DsimManuscriptPrePrint.pdf).
## 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](https://github.com/dschick/udkm1Dsim/issues).
You can also ask questions, share ideas, or engage with community members via the
[discussions](https://github.com/dschick/udkm1Dsim/discussions).
You can contribute to the project via pull-requests following the
[GitHub flow concept](https://docs.github.com/en/get-started/quickstart/github-flow).
## License
The project is licensed under the MIT license.
Raw data
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"description": "# Welcome to udkm1Dsim\n\n[](https://udkm1dsim.readthedocs.io/en/latest/?badge=latest)\n\n\n[](https://codecov.io/gh/dschick/udkm1Dsim)\n\nThe *udkm1Dsim* toolbox is a collection of Python classes and routines to\nsimulate the thermal, structural, and magnetic dynamics after laser excitation\nas well as the according X-ray scattering response in one-dimensional sample\nstructures after ultrafast excitation.\n\nThe toolbox provides the capabilities to define arbitrary layered structures\non the atomic level including a rich database of element-specific physical\nproperties. \nThe excitation of ultrafast dynamics is represented by an *N*-temperature-model\nwhich is commonly applied for ultrafast optical excitations. \nStructural dynamics due to thermal stresses are calculated by a linear-chain\nmodel of masses and springs.\nThe implementation of magnetic dynamics can be easily accomplished by the user\nfor the individual problem.\n\nThe resulting X-ray diffraction response is computed by kinematical or\ndynamical X-ray theory which can also include magnetic scattering.\n\nThe *udkm1Dsim* toolbox is highly modular and allows to introduce user-defined\nresults at any step in the simulation procedure.\n\nThe *udkm1Dsim* toolbox was initially developed for MATLAB\u00ae in the\n*Ultrafast Dynamics in Condensed Matter* group of Prof. Matias Bargheer at the\n*University of Potsdam*, Germany.\nThe MATLAB\u00ae source code is still available at\n[github.com/dschick/udkm1DsimML](https://github.com/dschick/udkm1DsimML).\n\nThe current toolbox, written in Python, is maintained by Daniel Schick at the\n*Max-Born-Institute*, Berlin, Germany.\n\n## Documentation\nThe documentation can be found at [udkm1Dsim.readthedocs.io](http://udkm1Dsim.readthedocs.io).\n\n## Citation\n\nPlease cite the current preprint if you use the toolbox in your own work:\n\nD. Schick, *udkm1Dsim - A Python toolbox for simulating 1D ultrafast dynamics in condensed matter*,\n[Comput. Phys. Commun. 266, 108031 (2021)](https://doi.org/10.1016/j.cpc.2021.108031) [(preprint)](https://arxiv.org/abs/2102.12144).\n\nYou can also cite the original publication if appropriate:\n\nD. Schick, A. Bojahr, M. Herzog, R. Shayduk, C. von Korff Schmising & M. Bargheer,\n*udkm1Dsim - A Simulation Toolkit for 1D Ultrafast Dynamics in Condensed Matter*,\n[Comput. Phys. Commun. 185, 651 (2014)](http://doi.org/10.1016/j.cpc.2013.10.009) [(preprint)](http://www.udkm.physik.uni-potsdam.de/medien/udkm1Dsim/udkm1DsimManuscriptPrePrint.pdf).\n\n## Installation\n\nYou can either install directly from pypi.org using the command\n\n pip install udkm1Dsim\n\nor if you want to work on the latest develop release you can clone \nudkm1Dsim from the main git repository:\n\n git clone https://github.com/dschick/udkm1Dsim.git udkm1Dsim\n\nTo work in editable mode (source is only linked \nbut not copied to the python site-packages), just do:\n\n pip install -e ./udkm1Dsim\n\nOr to do a normal install with\n\n pip install ./udkm1Dsim\n\nOptionally, you can also let pip install directly from the repository: \n\n pip install git+https://github.com/dschick/udkm1Dsim.git\n\nYou can have the following optional installation to enable parallel\ncomputations, unit tests, as well as building the documentation:\n\n pip install udkm1Dsim[parallel]\n pip install udkm1Dsim[testing]\n pip install udkm1Dsim[documentation]\n\n## Contribute & Support\n\nIf you are having issues please let us know via the\n[issue tracker](https://github.com/dschick/udkm1Dsim/issues).\n\nYou can also ask questions, share ideas, or engage with community members via the\n[discussions](https://github.com/dschick/udkm1Dsim/discussions).\n\nYou can contribute to the project via pull-requests following the\n[GitHub flow concept](https://docs.github.com/en/get-started/quickstart/github-flow).\n\n## License\n\nThe project is licensed under the MIT license.\n\n",
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