skultrafast.zero_finding

Contains functions to find the time-zero and to interpolate the data.

Module Contents

Classes

est

Functions

use_gaussian(dat[, sigma])	Use convolution with the derivate of an gaussian.
use_diff(dat[, smooth])	Use numerical diff.
use_sv_filter(dat[, window, polydeg])	Use savitzky-golay derivate.
use_max(dat[, use_abs])	Uses the absolute maximum of the signal
use_first_abs(dat[, val])	Returns the first index where abs(dat)>val.
use_fit(dat, t[, tau, w0, tn, n])	Fits each transient with only w and x0 free.
_fit_func(t, y, x0, w, tau)	Fit
robust_fit_tz(wl, tn[, degree, t])	Apply a robust 3-degree fit to given tn-indexs.
interpol(tup, tn[, shift, new_t])	Uses linear interpolation to shift each channcel by given tn.
get_tz_cor(tup[, method, deg, plot])	Fully automatic timezero correction.

class skultrafast.zero_finding.est

Bases: object

skultrafast.zero_finding.use_gaussian(dat, sigma=1)

Use convolution with the derivate of an gaussian.

skultrafast.zero_finding.use_diff(dat, smooth=0)

Use numerical diff.

skultrafast.zero_finding.use_sv_filter(dat, window=7, polydeg=5)

Use savitzky-golay derivate.

skultrafast.zero_finding.use_max(dat, use_abs=True)

Uses the absolute maximum of the signal

skultrafast.zero_finding.use_first_abs(dat, val=5)

Returns the first index where abs(dat)>val.

skultrafast.zero_finding.use_fit(dat, t, tau=[5, 20000], w0=0.08, tn=None, n=-1)

Fits each transient with only w and x0 free.

skultrafast.zero_finding._fit_func(t, y, x0, w, tau)

Fit

skultrafast.zero_finding.robust_fit_tz(wl, tn, degree=3, t=1)

Apply a robust 3-degree fit to given tn-indexs.

skultrafast.zero_finding.interpol(tup, tn, shift=0.0, new_t=None)

Uses linear interpolation to shift each channcel by given tn.

skultrafast.zero_finding.get_tz_cor(tup, method=use_diff, deg=3, plot=False, **kwargs)

Fully automatic timezero correction.