Promoted Density Approach for sampling initial conditions for trajectory-based nonadiabatic photodynamics
Project description
Promoted Density Approach code
promdens.py is a code implementing Promoted Density Approach (PDA) and its version for windowing (PDAW) freely available to the scientific community.
The code is constructed as a standalone Python script, requiring only basic Python libraries such as matplotlib or numpy.
In the future, the authors plan to turn the script into a Python library that can be downloaded via the pip command and integrated to other codes.
Necessary python libraries
The code was tested with Python 3.7 and higher. The necessary python libraries and their version that were used in development:
numpy (1.26.2)matplotlib (3.8.2)
Usage of promdens.py
The code requires information about the method to use (that is, PDA or PDAW), the number of excited states to consider, the number of initials conditions to be generated, and the characteristics of the laser pulse, such as the envelope type (Gaussian, Lorentzian, sech, etc.), the pulse frequency, the linear chirp parameter, and the full width at half maximum parameter. The code can be launched from a terminal with a series of flags as follows
$ python3 promdens.py --method pda --energy_units a.u. --tdm_units debye --nstates 2 --fwhm 3 --omega 0.355 --npsamples 10 --envelope_type gauss input_file.dat
The help for the input parameters is available by running
$ python3 promdens.py --help
where the units and character of different parameters are described.
The input file should contain information about the excitation energies and magnitudes of the transition dipole moments for each pair of sampled nuclear positions and momenta (label by an index number). In the following, we provide an example of the input file for the first two excited states of protonated formaldimine:
#index dE12 (a.u.) mu_12 (Debye) dE13 (a.u.) mu_13 (Debye)
1 0.32479719 0.1251 0.40293672 1.351
2 0.32070472 0.2434 0.40915241 1.289
3 0.34574925 0.7532 0.38595754 1.209
4 0.33093699 0.1574 0.36679075 1.403
5 0.31860215 0.1414 0.36973886 1.377
6 0.31057768 0.0963 0.40031651 1.390
7 0.33431888 0.1511 0.40055704 1.358
8 0.31621589 0.0741 0.36644659 1.425
9 0.32905912 0.5865 0.36662982 1.277
10 0.31505412 0.2268 0.35529522 1.411
Using this input file and running the command line above, the user receives the following output file called pda.dat containing information about excitation times and initial excited states:
# Sampling: number of ICs = 10, number of unique ICs = 6
# Field parameters: omega = 3.55000e-01 a.u., linear_chirp = 0.00000e+00 a.u., fwhm = 3.000 fs, t0 = 0.000 fs, envelope type = 'gauss'
# index exc. time (a.u.) el. state dE (a.u.) |tdm| (a.u.)
3 50.98896272 1 0.34574925 0.75320000
3 -26.10280808 1 0.34574925 0.75320000
4 -68.05804034 2 0.36679075 1.40300000
4 -50.42549647 2 0.36679075 1.40300000
4 -14.77969117 2 0.36679075 1.40300000
5 -32.66188108 2 0.36973886 1.37700000
8 116.78592486 2 0.36644659 1.42500000
9 -47.47085207 2 0.36662982 1.27700000
9 -39.94428629 2 0.36662982 1.27700000
10 -92.13785801 2 0.35529522 1.41100000
Inspecting this output file shows that the code generated 10 initial conditions accounting for the effect of the laser pulse, yet only 6 unique ground-state samples (pairs nuclear were used (indexes 3, 4, and 9 were selected more than once). The initial conditions are also spread over both excited states. The user should then run only 6 nonadiabatic simulations: initiating the position-momentum pair with index 3 in the first excited state and position-momentum pairs with indexes 4, 5, 8, 9, and 10 in the second excited state.
If the same command would be used with PDAW instead of PDA (--method pdaw), the output file would look like
# Convolution: 'I(t) = exp(-4*ln(2)*(t-t0)^2/fwhm^2)'
# Parameters: fwhm = 3.000 fs, t0 = 0.000 fs
# index weight S1 weight S2
1 1.78475e-05 9.66345e-07
2 1.56842e-05 2.59858e-08
3 6.31027e-02 1.29205e-03
4 1.79107e-04 1.62817e-01
5 2.31817e-06 1.01665e-01
6 2.96548e-08 3.90152e-06
7 3.81650e-04 3.33694e-06
8 2.36147e-07 1.75628e-01
9 1.47188e-03 1.37747e-01
10 1.33347e-06 3.55670e-01
The code provides the pulse intensity and weights necessary for the convolution described in Eq. (14) in the article. Note that the intensity should be normalized before used in convolution. If only a restricted amount of trajectories can be calculated, the user should choose the indexes and initial excited states corresponding to the largest weights in the file. For example, if we could run only 10 trajectories of protonated formaldimin, we would run ground-state position-momentum pairs with indexes 3, 4, 7, and 9 starting in S$_1$ and indexes 3, 4, 5, 8, 9, and 10 starting in S$_2$.
If the user selects option --plot, the code will produce a series of plots analyzing the provided data and calculated results, e.g. the absorption spectrum calculated with the nuclear ensemble method, the pulse spectrum or the Wigner pulse transform.
The work on a more detailed manual is currently in progress. If you have any questions, do not hesitate to contact the developers.
Analytic formulas for pulse envelope Wigner transform
While lorentz, sin2 and sech pulse envelope Wigner transforms are still calculated numerically by employing trapezoid rule for the integral, the gauss and sin envelope Wigner transforms are calculated analytically according following analytic formulas. We apply the following substitution in the formulas
$$\Omega = \Delta E/\hbar - \omega$$.
Gaussian envelope
$$\tau\sqrt{\frac{\pi}{\ln2}}16^{-\frac{(t^\prime - t_0)^2}{\tau^2}}\exp\left(-\frac{\tau^2\omega^2}{\ln16}\right)$$
Sinusoidal envelope
- $\pi\frac{-2\tau\Omega\cos(2(t^\prime - t_0 + \tau)\Omega)\sin(\pi(t^\prime - t_0)/\tau) +\pi\cos(\pi(t^\prime - t_0)/\tau)\sin(2(t^\prime - t_0 + \tau)\Omega))}{\Omega(\pi^2 - 4\tau^2\Omega^2)}$ if $t^\prime < t_0$ and $t^\prime > t_0 - \tau $
- $\pi\frac{2\tau\Omega\cos(2(-t^\prime + t_0 + \tau)\Omega)\sin(\pi(t^\prime - t_0)/\tau) +\pi\cos(\pi(t^\prime - t_0)/\tau)\sin(2(-t^\prime + t_0 + \tau)\Omega))}{\Omega(\pi^2 - 4\tau^2\Omega^2)}$ if $t^\prime \ge t_0$ and $t^\prime < t_0 - \tau $
- $0$ elsewhere
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