Full docs are available
here <http://pvextractor.readthedocs.org/en/latest/>
__
Tool to slice through data cubes and extract position-velocity (or
other) slices.
There are a few utilities <pvextractor/utils>
__ related to header
trimming & parsing. Otherwise, there’s one main function,
pvextractor <pvextractor/pvextractor.py>
__, that takes a data cube and
a series of points and returns a PV array. It is based on scipy’s
map_coordinates
but also has .
For an example use case, see [this notebook]
(http://nbviewer.ipython.org/urls/raw.github.com/radio-astro-tools/pvextractor/master/examples/IRAS05358Slicing.ipynb)
(for a permanent, compiled version, look
here <examples/IRAS05358Slicing.html>
__)
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Minimal Install Instructions
::
pip install https://github.com/ericmandel/pyds9/archive/master.zip
pip install https://github.com/radio-astro-tools/spectral-cube/archive/master.zip
pip install https://github.com/radio-astro-tools/pvextractor/archive/master.zip
Run it like this:
::
from pvextractor.gui import PVSlicer
pv = PVSlicer('L1448_13CO.fits')
pv.show()
Click to select “control points” along the path, then press “enter” to
expand the width of the slice, then click. Optionally, “y” will show the
exact regions extracted.
There is a python script that will be installed along with pvextractor.
You can invoke it from the command line, but the preferred approach is
to load the tool into ds9. First, determine the path to
ds9_pvextract.ans
; it is in
scripts/ds9_pvextract.ans <scripts/ds9_pvextract.ans>
__. Then start up
ds9 with the analysis tool loaded
::
ds9 -analysis load /path/to/pvextractor/scripts/ds9_pvextract.ans &
Then load any cube in ds9, draw a line, and press ‘x’ or press “PV
Extractor” in the menu.
.. figure:: images/pvextractor_ds9_example.png
:alt: Example DS9 use
Example DS9 use
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