mufasa.master_fitter

The mufasa.master_fitter module provides tools for automated spectral fitting, refinement, and analysis of multi-component spectral models.

Classes

Region

A class to represent the observed spectral cube to perform the model fits.

Functions

expand_fits	Expand fits in a region by incrementally fitting pixels beyond a defined log-likelihood threshold boundary.
fit_best_2comp_residual_cnv	Fit the convolved residual of the best-fit two-component spectral model with a one-component model.
fit_surroundings	Expand fits around a region based on model log-likelihood thresholds and target signal-to-noise depth.
get_2comp_wide_guesses	Generate initial guesses for fitting a two-component spectral model with wide velocity separation.
get_best_2comp_model	Retrieve the best-fit model cube for the given Region object.
get_best_2comp_residual	Calculate the residual cube for the best-fit two-component model.
get_best_2comp_residual_SpectralCube	Generate the residual spectral cube for the best-fit two-component model.
get_best_2comp_residual_cnv	Generate a convolved residual cube for the best-fit two-component spectral model.
get_best_2comp_snr_mod	Calculate the signal-to-noise ratio (SNR) map for the best-fit two- component model.
get_convolved_cube	Generate and save a convolved version of the spectral cube for a given region.
get_convolved_fits	Fit a model to the convolved cube and save the results.
get_fits	Fit a model to the original spectral cube and save the results.
get_local_bad	Identify local pixels with significantly lower relative log-likelihood (lnk) values compared to their neighbors.
get_marginal_pix	Return pixels at the edge of structures with values greater than lnk_thresh, or pixels less than lnk_thresh enclosed within the structures.
get_refit_guesses	Generate initial guesses for refitting based on neighboring pixels or convolution.
get_skyheader	Generate a 2D sky projection header from a 3D spectral cube header.
iter_2comp_fit	Perform a two-component fit iterantively through two steps.
master_2comp_fit	Perform a two-component fit on the data cube within a Region object.
refit_2comp_wide	Refit pixels to recover compoents with wide velocity separation for 2-component models.
refit_bad_2comp	Refit pixels with poor 2-component fits, as determined by the log- likelihood of 2- and 1- compoent fits, using specified models.
refit_marginal	Refit pixels with fits that appears marginally okay, as deterined by the specified log-likelihood threshold provided.
refit_swap_2comp	Refit the cube by using the previous fit result as guesses, but with the front and rear components switched.
replace_bad_pix	Refit pixels marked by the mask as "bad" and adopt the new model if it is determined to be better.
replace_para	Replace parameter values in a parameter cube with those from a reference cube for specific pixels.
replace_rss	Replace RSS-related maps in a UltraCube object for specific components.
save_best_2comp_fit	Save the best two-component fit results for the specified region.
save_map	Save a 2D map as a FITS file.
save_updated_paramaps	Save the updated parameter maps for specified components.
standard_2comp_fit	Perform a two-component fit for the cube using default moment map guesses.