replace_para#

mufasa.master_fitter.replace_para(pcube, pcube_ref, mask, multicore=None)[source]#

Replace parameter values in a parameter cube with those from a reference cube for specific pixels.

This function updates the parcube, errcube, and has_fit attributes of the input pcube based on a mask, using the corresponding values from the reference cube (pcube_ref).

Parameters:

  • pcube (pyspeckit.cube.ParCube) – The parameter cube to be updated. This cube contains the current fitted parameters and their errors.

  • pcube_ref (pyspeckit.cube.ParCube) – The reference parameter cube containing the values to replace in pcube.

  • mask (numpy.ndarray) – A boolean 2D array indicating the spatial pixels to update. Pixels with True in the mask will be updated.

  • multicore (int or None, optional) – Number of cores to use for parallel computation. Defaults to None, in which case a single core is used.

Return type:

None

Notes

  • Updates the following attributes of pcube: - parcube (fitted parameters) - errcube (parameter errors) - has_fit (boolean map indicating successful fits)

  • Also updates the _modelcube attribute of pcube with the corresponding model values from pcube_ref.

  • If multicore is specified, it controls the parallelism when computing the model cube from pcube_ref.

Examples

>>> replace_para(pcube, pcube_ref, mask, multicore=4)
>>> # Updates `pcube` with values from `pcube_ref` for pixels specified by `mask`.
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