Attosecond impulsive stimulated x-ray raman scattering in liquid water
Data files
Aug 26, 2024 version files 1.60 GB
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README.md
Abstract
We report the measurement of impulsive stimulated x-ray Raman scattering in neutral liquid water. An attosecond pulse drives the excitations of an electronic wavepacket, which comprises two steps: a transition to core-excited states near the oxygen atoms accompanied by transition to a valence-excited states. Thus, the wavepacket is impulsively created at a specific atomic site within a few hundred attoseconds through a non-linear interaction between the water and the x-ray pulse. We observe this nonlinear signature in an intensity dependent Stokes Raman sideband at 526 eV. Our measurements are supported by our state-of-the-art calculations based on the polarisation response of water dimers in bulk solvation and propagation of attosecond x-ray pulses at liquid density.
README: Attosecond Impulsive Stimulated X-ray Raman Scattering in Liquid Water
https://doi.org/10.5061/dryad.dv41ns26m
Data from the Science Advances paper "Attosecond Impulsive Stimulated X-ray Raman Scattering in Liquid Water".
Description of the data and file structure
All data is contained in .csv files, labelled with figure numbers corresponding to the figures in the assosciated paper and supplementary material.
For the experimental data, the portion of the filename before the underscore identifies the figure, and the portion after the underscore identifies the data axis.
The data files for theory plots, without underscore in their name, contain the data from the horizontal and vertical axis in the first and second columns, respectively, and when several datasets are represented in the same figure, they are stored in the subsequent columns. In the population-evolution data (Figs. 3B, S11, S12, S15, S21), the second column corresponds to the ground state, the third to eighth are the valence-excited states and the ninth to fifteenth are the core-excited states. In Fig S10, each line corresponds to a different state following the mentioned order.
Code/Software
The python notebook, plot_exp_figures.ipynb, plots all experimental data from the .csv files.