twoD_dataset.CLSResult¶
- class twoD_dataset.CLSResult(*, wt: ndarray, slopes: ndarray, slope_errors: ndarray | None = None, intercepts: ndarray, intercept_errors: ndarray | None, lines: List[ndarray], exp_fit_result_: ModelResult | None = None)[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, intercepts: ndarray, intercept_errors: ndarray | None, lines: List[ndarray], exp_fit_result_: ModelResult | None = None) 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 x and y, yerr-values used for the linear fit
exp_fit_result_
wt
Wait times.
slopes
Values
slope_errors