Published January 24, 2022
| Version v1
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Supplementary material: Picosecond pulse-shaping for strong three-dimensional field-free alignment of generic asymmetric-top molecules
Authors/Creators
- 1. Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY
- 2. Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY; Department of Physics, Universität Hamburg
- 3. Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY; Department of Chemistry, Universität Hamburg; Center for Ultrafast Imaging, Universität of Hamburg
- 4. Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY; Center for Ultrafast Imaging, Universität of Hamburg
- 5. Max Born Institute
- 6. Center for Free-Electron Laser Science, Deutsches Elektronen-Synchrotron DESY; Department of Physics, Universität Hamburg; Department of Chemistry, Universität Hamburg; Center for Ultrafast Imaging, Universität of Hamburg
Description
Supplementary material to the manuscript "Picosecond pulse-shaping for strong three-dimensional field-free alignment of generic asymmetric-top molecules" by Terry Mullins, Evangelos T. Karamatskos, Joss Wiese, Jolijn Onvlee, Arnaud Rouzée, Andrey Yachmenev, Sebastian Trippel, and Jochen Küpper, Nat. Commun, 2022
- simulations_part.z* is split zip archive containing simulations data for indole molecule, such as files with rotational probability density distributions computed at different times \(t=0..1500\) ps during the laser pulse and field-free evolution, and example python scripts for data retrieval
- ... TBA
The simulations data contain the following files and folders:
- prob_density_euler_angles contains files rotdens_av_<time>.gz with simulated state-averaged rotational probability density distributions in terms of Euler angles for different times <time>, ranging from the beginning of the alignment laser pulse at \(t=0\) up to \(t=1500\) ps with a time step of 1 ps.
Calculations of probability density distributions were done using Richmol program.
The gzipped ASCII data files rotdens_av_<time>.gz contain in columns the values of the Euler angles \(\phi,\theta,\chi\) followed by the normalized probability density value. - prob_density_atoms_xyz contains files monte_carlo_av_<time>.h5 with state-averaged rotational probability density distributions of all atoms in the indole molecule in terms of their Cartesian coordinates, for different times <time>, ranging from the beginning of the alignment pulse at \(t=0\) up to \(t=1500\) ps with a time step of 1 ps.
Structure of monte_carlo_av_<time>.h5 HDF5 files:
Key Description
----- ---------------
'C10' - Cartesian coordinates of carbon atom no. 10
'C11' - Cartesian coordinates of carbon atom no. 11
'C12' - ...
'C14' - ...
'C3' - ...
'C6' - ...
'C7' - ...
'C9' - ...
'N4' - ...
'H1-C3' - Cartesian coordinates of a vector pointing from carbon atom no. 3 to hydrogen atom no. 1
'H13-C11' - ...
'H15-C12' - ...
'H16-C14' - ...
'H2-N4' - ...
'H5-C7' - ...
'H8-C9' - ...
'ref_vectors' - reference molecular-frame Cartesian coordinates of all atoms
'x' - coordinates of the x-axis of Principal Axes of Inertia Frame
'y' - coordinates of the y-axis of Principal Axes of Inertia Frame
'z' - coordinates of the z-axis of Principal Axes of Inertia Frame
'pol_x' - coordinates of the x-axis of Principal Axes of Polarizability Frame
'pol_y' - coordinates of the y-axis of Principal Axes of Polarizability Frame
'pol_z' - coordinates of the z-axis of Principal Axes of Polarizability Frame - indole_deflected_states.txt ASCII file contains initial populations of rotational states of indole in the deflected beam.
The following data is arranged in columns: m, J, id, energy, normalized population. The J and m are rotational quantum numbers of the total angular momentum and its Z-projection, the id number refers to the state's index in file indole_energies_j0_j20.txt listing rotational states of indole. - indole_data.py Python module provides basic functions to extract information from HDF5 data files monte_carlo_av_<time>.h5. It can also be used to compute alignment and orientation.
- example_cos.py and example_dens.py Python scripts that demonstrate how to use indole_data.py module for computing and plotting alignment traces and a 2D projection of the probability density distribution, respectively.
- monte_carlo.py Python script that was used to compute through Monte-Carlo sampling probability density distributions for Cartesian positions of atoms in indole (monte_carlo_av_<time>.h5 files) using probability density distribution functions in Euler angles (outputs of Richmol program rotdens_av_<time>.gz)
Files
simulations_part.zip
Files
(47.3 GB)
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