Data for "Chiral topological light for detection of robust enantiosensitive observables"

<p><strong>Data for "Chiral topological light for detection of robust enantiosensitive observables"</strong></p> <p>This repository contains the data files and Jupyter notebook to reproduce the numerical results from the paper</p> <p><em>"Chiral topological light for detection of enantiosensitive observables"</em>, N. Mayer, D. Ayuso, P. Decleva, M. Khokhlova, E. Pisanty, M. Ivanov and O. Smirnova, Nature Photonics (2024), <a href="https://doi.org/10.1038/s41566-024-01499-8">doi:10.1038/s41566-024-01499-8</a>, <a href="https://arxiv.org/abs/2303.10932">arXiv:2303.10932</a></p> <p>as well as the results contained in its Supplementary Files.&nbsp;</p> <p>The Python code used to calculate the data files is available from the authors upon reasonable request. Please refer to the Methods section of the paper for a detailed description of the numerical approach behind the numerical simulations.</p> <p>Note that the figures in the paper are assembled in a separate software from the plots reproduced here, and that we include here only the results for the theoretical simulations of the molecular response.</p> <p>The repository contains the following files:</p> <ul> <li><em>atomic_units.py</em>: Python file containing useful definitions of quantities in atomic units.</li> <li><em>readme.txt</em>: file containing a detailed description of the files contained in files.zip</li> <li><em>Figures_CTL.ipynb</em>: Jupyter notebook to load the files in files.zip and plot the images of the paper.</li> <li><em>files.zip</em>: zip file containing the data files.</li> </ul> <p>The copyright of this collection rests with the authors (2024). It is made available under the Creative Commons Attribution-ShareAlike 4.0 (<a href="https://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>) license. For any academic use that results in a publication, please cite the main paper in addition to this deposit.</p>