sarkas.tools.observables.ElectricCurrent#

class sarkas.tools.observables.ElectricCurrent[source]#

Electric Current Auto-correlation function.

Methods

`ElectricCurrent.__init__`()
`ElectricCurrent.average_slices_data`()	Average and std over the slices.
`ElectricCurrent.calc_k_data`()	Calculate and save Fourier space data.
`ElectricCurrent.calc_nkt_slices_data`()	Calculate n(k,t) for each slice.
`ElectricCurrent.calc_slices_data`()
`ElectricCurrent.calc_vkt_slices_data`()	Calculate v(k,t) for each slice.
`ElectricCurrent.calculate_corr_times`([slices])
`ElectricCurrent.compute`()	Routine for computing the observable.
`ElectricCurrent.compute_kt_data`([nkt_flag, ...])	Calculate Time dependent Fourier space quantities.
`ElectricCurrent.copy_params`(params)
`ElectricCurrent.create_dirs_filenames`()	Create the directories and filenames where to save dataframes.
`ElectricCurrent.from_dict`(input_dict)	Update attributes from input dictionary.
`ElectricCurrent.from_pickle`()	Read the observable's info from the pickle file.
`ElectricCurrent.grab_sim_data`([pva])	Read in particles data into one large array.
`ElectricCurrent.initialize_hdf`()
`ElectricCurrent.integrate_normalized_acf_squared`(...)	Calculate the normalized correlation time as given by
`ElectricCurrent.parse`([acf_data])	Grab the pandas dataframe from the saved csv file.
`ElectricCurrent.parse_acf`()
`ElectricCurrent.parse_k_data`()	Read in the precomputed Fourier space data.
`ElectricCurrent.parse_kt_data`([nkt_flag, ...])	Read in the precomputed time dependent Fourier space data.
`ElectricCurrent.plot`([scaling, acf, ...])	Plot the observable by calling the pandas.DataFrame.plot() function and save the figure.
`ElectricCurrent.pretty_print_msg`()	Create the message with the basic information of every observable
`ElectricCurrent.save_acf_hdf`()
`ElectricCurrent.save_hdf`()
`ElectricCurrent.save_kt_hdf`([nkt_flag, vkt_flag])	Save the \(n(\mathbf{k},t)\) and/or \(\mathbf{v}(\mathbf{k},t)\) data of each slice to disk.
`ElectricCurrent.save_pickle`()	Save the observable's info into a pickle file.
`ElectricCurrent.setup`(params[, phase, no_slices])	Assign attributes from simulation's parameters.
`ElectricCurrent.setup_init`(params[, phase, ...])	Assign Observables attributes and copy the simulation's parameters.
`ElectricCurrent.setup_multirun_dirs`()	Set the attributes postprocessing_dir and dump_dirs_list.
`ElectricCurrent.update_args`(**kwargs)	Update observable specific attributes and call `update_finish()` to save info.
`ElectricCurrent.update_finish`()	Update the `slice_steps`, CCF's and DSF's attributes, and save pickle file with observable's info.