twoD_dataset.CLSResult¶

class twoD_dataset.CLSResult(*, wt: ndarray, slopes: ndarray, slope_errors: ndarray | None = None, exp_fit_result_: ModelResult | None = None, intercepts: ndarray, intercept_errors: ndarray | None, lines: List[ndarray])[source]¶

Class holding the data of CLS-analysis. Has methods to analyze and plot them.

Method generated by attrs for class CLSResult.

__init__(*, wt: ndarray, slopes: ndarray, slope_errors: ndarray | None = None, exp_fit_result_: ModelResult | None = None, intercepts: ndarray, intercept_errors: ndarray | None, lines: List[ndarray]) → None¶: Method generated by attrs for class CLSResult.

Methods

`__init__`(*, wt, slopes[, slope_errors, ...])	Method generated by attrs for class CLSResult.
`exp_fit`(start_taus[, use_const, use_weights])
`plot_cls`([ax, model_style, symlog])

Attributes

`intercepts`	Contains the intercepts, useful for plotting mostly
`intercept_errors`	Errors of the intercepts
`lines`	Contains the pump_wn, probe_wn, probe_wn-erroprs used for the linear fit, as well as the linear fit itself.
`wt`	Wait times.
`slopes`	Values
`slope_errors`
`exp_fit_result_`