mdadash.backend.analyses.acf

Classes

`ACFAnalysis`()
`SlidingWindowACF`(u[, physical_property, ...])	Sliding Window ACF

class mdadash.backend.analyses.acf.ACFAnalysis[source]

Bases: WidgetBase

apply_parallel_results(values)[source]: apply parallel results handler

description = 'Autocorrelation Function'

get_parallel_job()[source]: get parallel job handler

name = 'ACF'

on_input_change(attribute, _old_value, new_value)[source]: on_input_change handler

on_post_connect()[source]: on_post_connect handler

on_post_create()[source]: on_post_create handler

run_every_frame()[source]: every-frame run handler

class mdadash.backend.analyses.acf.SlidingWindowACF(u: Universe, physical_property: str = 'velocity', select: str = 'all', dim_type: str = 'xyz', centered: bool = False, show_running_integral: bool = False, show_particle_acfs: bool = False)[source]

Bases: object

Sliding Window ACF

Calculate ACF for a sliding window of frames

run(normalized: bool = False, parallel: bool = False) → tuple[source]: Run ACF for the current window