ewoksfluo.tests.fit.test_core_fit.test_fit_versus_native_fit#
- ewoksfluo.tests.fit.test_core_fit.test_fit_versus_native_fit(fast_fitting, use_limit, quantification, positive_peak_areas, error_propagation, strip_background, live_times, multilayer, legacy)[source]#
- Parameters:
fast_fitting (
bool) – fast fitting (forced linear) or slow fittinguse_limit (
bool) – fit the entire XRF spectrum or a ROIquantification (
Optional[str]) – calulate concentrations from fitted peak areaspositive_peak_areas (
bool) – constraint peak areas to be >=0error_propagation (
Optional[str]) – no error propagation, Poisson noise from average spectrum, Poisson noise for each spectrum separately)strip_background (
Optional[Literal[0,1]]) – no background stripping, strip, sniplive_times (
bool) – include live time normalizationmultilayer (
bool) – the sample matrix is a “multilayer”legacy (
bool) – legacy high-level native PyMca5 API for fitting