ComputeSpectra¶

class muse_origin.ComputeSpectra(orig, idx, param)[source]¶

Bases: muse_origin.Step

Compute the estimated emission line and the optimal coordinates.

For each detected line in a spatio-spectral grid, the line is estimated with the deconvolution model:

subcube = FSF*line -> line_est = subcube*fsf/(fsf^2))

Via PCA LS or denoised PCA LS Method.

Parameters

grid_dxyint: Maximum spatial shift for the grid, defaults to 0.
spectrum_size_fwhm: float: The length of the spectrum to keep around each line as a factor of the fitted line FWHM, defaults to 6.

Returns

self.Cat2astropy.table.Table: Catalog of parameters of detected emission lines. Columns: ra dec lbda x0 x y0 y z0 z T_GLR profile residual flux num_line purity
self.spectralist of Spectrum: Estimated lines.

Attributes Summary

`Cat2`
`desc`
`name`
`require`
`spectra`
`status`	Processing status (`muse_origin.Status`):

Methods Summary

`__call__`(self, \args, \\*kwargs)	Run a step, calling its `run` method.
`dump`(self, outpath)	Save the attributes that have been created by the steps, and unload them to free memory.
`load`(self, outpath)	Recreate attributes of a step, not really loading them as just the file is set, and files are loaded in memory only if needed.
`run`(self, orig[, grid_dxy, spectrum_size_fwhm])
`store_cube`(self, name, data, \\kwargs)	Create a MPDAF Cube and store it as an attribute.
`store_image`(self, name, data, \\kwargs)	Create a MPDAF Image and store it as an attribute.

Attributes Documentation

Cat2 = None¶

desc = 'Lines estimation'¶

name = 'compute_spectra'¶

require = ('detection',)¶

spectra = None¶

status¶

Processing status (muse_origin.Status):

NOTRUN: The step has not been run.
RUN: The step has been run but not saved.
DUMP: The step has been run and its outputs saved to disk.
FAILED: The step has been run but it failed.

Methods Documentation

__call__(self, *args, **kwargs)¶

Run a step, calling its run method.

This method is the one that is called from the ORIGIN object. It calls the run method of the step and also does a few additional things like storing the parameters, execution time and date.

dump(self, outpath)¶: Save the attributes that have been created by the steps, and unload them to free memory.

load(self, outpath)¶: Recreate attributes of a step, not really loading them as just the file is set, and files are loaded in memory only if needed.

run(self, orig, grid_dxy=0, spectrum_size_fwhm=6)[source]¶

store_cube(self, name, data, **kwargs)¶: Create a MPDAF Cube and store it as an attribute.

store_image(self, name, data, **kwargs)¶: Create a MPDAF Image and store it as an attribute.