Sources Detection (mpdaf.sdetect)

The mpdaf.sdetect package contains different methods to detect sources.

Contents:

• Source object
  • Create a source
  • Extract spectra
  • Add lines and estimate the best redshift
  • SourceList class
• Catalog object
• MUSELET
  • Description
  • Tutorials

Reference/API

mpdaf.sdetect Package

Functions

compute_optimal_spectrum(cube, mask, psf)	Compute a spectrum for a cube by summing along the spatial axis.
compute_spectrum(cube, weights)	Compute a spectrum for a cube by summing along the spatial axis.
crackz(nlines, wl, flux, eml[, zguess])	Method to estimate the best redshift matching a list of emission lines.
findCentralDetection(images, iyc, ixc[, …])	Determine which image has a detection close to the centre.
findSkyMask(images)	Loop over all segmentation images and use the region where no object is detected in any segmentation map as our sky image.
get_emlines([iden, z, vac, lbrange, margin, …])	Return list of emission lines
intersection(seg)	Return the intersection of a list of boolean arrays.
mask_creation(source, maps)
matchlines(nlines, wl, z, eml)	Try to match all the lines given.
muselet(cubename[, step, delta, fw, radius, …])	MUSELET (for MUSE Line Emission Tracker) is a simple SExtractor-based python tool to detect emission lines in a datacube.
segmentation(source, tags, DIR, remove)	segmentation by running sextractor
union(seg)	Return the union of a list of boolean arrays.

Classes

Catalog(*args, **kwargs)	This class inherits from astropy.table.Table.
Source(header[, lines, mag, z, spectra, …])	This class contains a Source object.
SourceList	Handles a list of mpdaf.sdetect.Source objects.

Class Inheritance Diagram