TRXASprefitpack.driver package

Module contents

TRXASprefitpack.driver Package

driver: subpackage for driver routine of TRXASprefitpack convolution of sum of exponential decay and instrumental response function

copyright

2021-2022 by pistack (Junho Lee).

license

LGPL3.

Functions

sads(escan_time, fwhm, eigval, V, c[, ...])	Calculate species associated difference spectrum from experimental energy scan data
dads(escan_time, fwhm, tau[, base, irf, ...])	Calculate decay associated difference spectrum from experimental energy scan data
save_TransientResult(result, filename)	save transient fitting result to the h5 file
load_TransientResult(filename)	load transient fitting result from h5 file
save_StaticResult(result, filename)	save static fitting result to the h5 file
load_StaticResult(filename)	load static fitting result from h5 file
static_spectrum(e, result[, deriv_order])	Evaluates static spectrum from static spectrum fitting result.
fit_transient_exp(irf, fwhm_init, t0_init, ...)	driver routine for fitting multiple data set of time delay scan data with sum of the convolution of exponential decay and instrumental response function.
fit_transient_dmp_osc(irf, fwhm_init, ...[, ...])	driver routine for fitting multiple data set of time delay scan data with sum of the convolution of dmped oscillation and instrumental response function.
fit_transient_both(irf, fwhm_init, t0_init, ...)	driver routine for fitting multiple data set of time delay scan data with sum of the convolution of exponential decay and instrumental response function and sum of the convolution of damped oscillation and insrumental response function.
fit_static_voigt(e0_init, fwhm_G_init, ...)	driver routine for fitting static spectrum with sum of voigt component, edge and polynomial baseline.
fit_static_thy(thy_peak, fwhm_G_init, ...[, ...])	driver routine for fitting static spectrum with sum of voigt broadend thoretical spectrum, edge and polynomial base line.
is_better_fit(result1, result2)	Compare fit based on f-test
confidence_interval(result, alpha)	Calculate 1d confidence interval of each parameter at significance level alpha Based on F-test method

Classes

TransientResult	Represent results for fitting driver routine
StaticResult	Represent results for fitting static driver routine
CIResult	Class for represent confidence interval of each parameter