Code to load multi-Gaussian approximations to profiles from "The Tractor"
into a lsst.shapelet.MultiShapeletBasis.
Please see the README file in the data directory of the lsst.shapelet
package for more information.
lsst.shapelet.tractor.integrateNormalizedFluxes |
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maxRadius = 20.0 , |
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nSteps = 5000 |
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) |
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Integrate the profiles to compare relative fluxes between the true profiles
and their approximations.
After normalizing by surface brightness at r=1 r_e, integrate the profiles to compare
relative fluxes between the true profiles and their approximations.
Parameters
----------
maxRadius : `float`, optional
Maximum radius to integrate the profile, in units of r_e.
nSteps : `int`, optional
Number of concrete points at which to evaluate the profile to
do the integration (we just use the trapezoidal rule).
Returns
-------
fluxes : `dict` of `float` values
Dictionary of fluxes (``exp``, ``lux``, ``dev``, ``luv``, ``ser2``, ``ser3``,
``ser5``, ``gexp``, ``glux``, ``gdev``, ``gluv``, ``gser2``, ``gser3``, ``gser5``)
Definition at line 113 of file tractor.py.
lsst.shapelet.tractor.plotSuite |
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doComponents = False | ) |
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Plot all the profiles defined in this module together.
Plot all the profiles defined in this module together: true exp and dev,
the SDSS softened/truncated lux and luv, and the multi-Gaussian approximations
to all of these.
Parameters
----------
doComponents : `bool`, optional
True, to plot the individual Gaussians that form the multi-Gaussian approximations.
Returns
-------
figure : `matplotlib.figure.Figure`
Figure that contains the plot.
axes : `numpy.ndarray` of `matplotlib.axes.Axes`
A 2x4 NumPy array of matplotlib axes objects.
Definition at line 146 of file tractor.py.