Pyckett
Pyckett is a python wrapper around the SPFIT/SPCAT package (H. M. Pickett, "The Fitting and Prediction of Vibration-Rotation Spectra with Spin Interactions," J. Mol. Spectrosc. 148, 371-377 (1991)).
Install the package with pip by using the following command
pip install pyckett
If SPFIT and SPCAT cannot be executed via the commands spfit and spcat (if they are not in your PATH or have different names) point to them by setting the PYCKETT_SPFIT_PATH and PYCKETT_SPCAT_PATH environment variables to their full paths.
If you want to acknowledge LLWP, please cite the paper On the Spectroscopy of Phosphaalkynes: Millimeter- and Submillimeter-Wave Study of C2H5CP.
Documentation
Currently, the documentation is limited to the docstrings of the main library. To easily access the docstrings you can run
pip install pdoc
pdoc pyckett
after having installed Pyckett.
The CLI tools provide help texts via the -h or --help flags.
CLI Tools
Pyckett provides a set of command line utilities which perform common steps of an iterative fitting process.
pyckett_add helps adding new parameters to the fit, pyckett_omit is used for evaluating which parameters can be omitted.
pyckett_separatefits can be used to separate a global fit into separate fits for each state.
pyckett_uncertainties evaluates the uncertainties of the parameters.
pyckett_partitionfunction or pyckett_qrot calculates the rotational partition function for different temperatures.
pyckett_vibpartitionfunction or pyckett_qvib calculates the vibrational partition function for different temperatures.
pyckett_auto automatically builds up the Hamiltonian step by step.
pyckett_fit and pyckett_cat are shortcuts to SPFIT and SPCAT, respectively.
pyckett_pmix quickly prints the mixing coefficients of an *.egy file to identify interaction regions.
pyckett_report gives a summary of your *.lin (and *.cat) file.
pyckett_duplicates removes any duplicated entries from your *.lin file.
See the respective help functions (by adding --help after the command) to see their syntax.
Examples
You can read files from the SPFIT/SPCAT universe with the following syntax
var_dict = pyckett.parvar_to_dict(r"path/to/your/project/molecule.var")
par_dict = pyckett.parvar_to_dict(r"path/to/your/project/molecule.par")
int_dict = pyckett.int_to_dict(r"path/to/your/project/molecule.int")
lin_df = pyckett.lin_to_df(r"path/to/your/project/molecule.lin")
cat_df = pyckett.cat_to_df(r"path/to/your/project/molecule.cat")
egy_df = pyckett.egy_to_df(r"path/to/your/project/molecule.egy")
erham_df = pyckett.erhamlines_to_df(r"path/to/your/project/molecule.in")
Finalize cat file
This function merges the cat and lin dataframes, sums up duplicate values in the cat file and allows to translate quantum numbers:
fin_cat_df, fin_lin_df = pyckett.finalize(cat_df, lin_df, qn_tdict, qn)
Find candidates for double-resonance measurements
This function finds possible transition arrangements for double-resonance measurements. Input two cat dataframes with the transitions that are in the range of your probe and pump source.
results_df = pyckett.get_dr_candidates(cat_df1, cat_df2)
Check Crossings
pyckett.check_crossings(egy_df, [1], range(10))
Plot Mixing Coefficients
pyckett.mixing_coefficient(egy_df, "qn4 == 1 and qn2 < 20 and qn1 < 20 and qn1==qn2+qn3")
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