yt.frontends.fits.misc module

class yt.frontends.fits.misc.PlotWindowWCS(pw)

Bases: object

Use AstroPy’s WCSAxes class to plot celestial coordinates on the axes of a on-axis PlotWindow plot. See http://docs.astropy.org/en/stable/visualization/wcsaxes/ for more details on how it works under the hood. This functionality requires a version of AstroPy >= 1.3.

Parameters:

pw (on-axis PlotWindow instance) – The PlotWindow instance to add celestial axes to.

items()

keys()

save(name=None, mpl_kwargs=None)

show()

values()

yt.frontends.fits.misc.create_spectral_slabs(filename, slab_centers, slab_width, **kwargs)

Given a dictionary of spectral slab centers and a width in spectral units, extract data from a spectral cube at these slab centers and return a FITSDataset instance containing the different slabs as separate yt fields. Useful for extracting individual lines from a spectral cube and separating them out as different fields.

Requires the SpectralCube (https://spectral-cube.readthedocs.io/en/latest/) library.

All keyword arguments will be passed on to the FITSDataset constructor.

Parameters:

• filename (string) – The spectral cube FITS file to extract the data from.

• slab_centers (dict of (float, string) tuples or YTQuantities) – The centers of the slabs, where the keys are the names of the new fields and the values are (float, string) tuples or YTQuantities, specifying a value for each center and its unit.

• slab_width (YTQuantity or (float, string) tuple) – The width of the slab along the spectral axis.

Examples

>>> slab_centers = {
...     "13CN": (218.03117, "GHz"),
...     "CH3CH2CHO": (218.284256, "GHz"),
...     "CH3NH2": (218.40956, "GHz"),
... }
>>> slab_width = (0.05, "GHz")
>>> ds = create_spectral_slabs(
...     "intensity_cube.fits", slab_centers, slab_width, nan_mask=0.0
... )

yt.frontends.fits.misc.ds9_region(ds, reg, obj=None, field_parameters=None)

Create a data container from a ds9 region file. Requires the regions package (https://astropy-regions.readthedocs.io/) to be installed.

Parameters:

• ds (FITSDataset) – The Dataset to create the region from.

• reg (string) – The filename of the ds9 region, or a region string to be parsed.

• obj (data container, optional) – The data container that will be used to create the new region. Defaults to ds.all_data.

• field_parameters (dictionary, optional) – A set of field parameters to apply to the region.

Examples

>>> ds = yt.load("m33_hi.fits")
>>> circle_region = ds9_region(ds, "circle.reg")
>>> print(circle_region.quantities.extrema("flux"))

yt.frontends.fits.misc.setup_counts_fields(ds, ebounds, ftype='gas')

Create deposited image fields from X-ray count data in energy bands.

Parameters:

• ds (Dataset) – The FITS events file dataset to add the counts fields to.

• ebounds (list of tuples) – A list of tuples, one for each field, with (emin, emax) as the energy bounds for the image.

• ftype (string, optional) – The field type of the resulting field. Defaults to “gas”.

Examples

>>> ds = yt.load("evt.fits")
>>> ebounds = [(0.1, 2.0), (2.0, 3.0)]
>>> setup_counts_fields(ds, ebounds)