ewoksxas.fit.silx_engine

silx fitting engine helpers shared by the peak-fit backend and the widget.

This module wraps silx.math.fit (the engine behind silx.gui.fit.FitWidget) so the headless ewoks task and the interactive Orange widget configure the same fit:

• make_fit_manager() builds a FitManager carrying only the peak theories we expose (so every selectable shape yields a meaningful descriptor) and, optionally, only the supported backgrounds.

• descriptors_from_fit_results() turns silx’s raw fit_results into the physically meaningful per-peak descriptors (center, height, area, FWHM and the pseudo-Voigt mixing) the task and widget report.

• background_curve() evaluates the fitted background over the manager’s x-grid, splitting the total model into background and peak contributions.

• strip_theory()/snip_theory() are drop-in replacements for silx’s stock Strip/Snip peak-stripping backgrounds, whose process-wide caches crash when the data length changes between fits (a region-of-interest change) and tear under concurrent fits; make_fit_manager() installs them on every manager.

silx peak theories report Height (the true peak maximum) directly; the integrated area is derived from the height and width(s) with the closed-form expressions in area_from_height() – numerically integrating the model curve would truncate the heavy Lorentzian/Voigt tails.

Functions

area_from_height(family, height, *[, fwhm, ...])	Return the analytic integrated area of a peak from its height and width.
background_curve(manager)	Evaluate the fitted background of a manager over its x-grid.
descriptors_from_fit_results(fit_results, ...)	Return the per-peak descriptors from silx fit_results.
make_fit_manager([curated_backgrounds])	Return a FitManager carrying the curated peak theories.
snip_theory()	Return a fresh Snip background theory with a per-manager cache.
strip_theory()	Return a fresh Strip background theory with a per-manager cache.