*************** Getting Started *************** Introduction ============ This is a package to coadd images. Currently, there is no fast python package to resample image. Therefore, |coadd| relies on the `swarp` softare to perform the resampling. This will be replaced in the future once a fast python resampling package is written. There are five main modules: - :mod:`~gaussdecomp.driver`: Decomposes all of the spectra in a datacube. - :mod:`~gaussdecomp.fitter`: Does the actual Gaussian Decomposition. - :mod:`~gaussdecomp.cube`: Contains the :class:`~gaussdecomp.cube.Cube` class for a data cube. - :mod:`~gaussdecomp.spectrum`: Contains the :class:`~gaussdecomp.spectrum.Spectrum` class for a single spectrum. - :mod:`~gaussdecomp.utils`: Various utility functions. There is a class for data cubes called :class:`~gaussdecomp.cube.Cube` and a class for spectra called :class:`~gaussdecomp.spectrum.Spectrum`. To fit a single spectrum you first need to create the Spectrum object. .. code-block:: python from gaussdecomp import spectrum,fitter sp = spectrum.Spectrum(flux,vel) # flux and velocity arrays out = fitter.gaussfit(sp) # do the fitting You can make a nice plot using :func:`~gaussdecomp.utils.gplot`. .. code-block:: python from gaussdecomp import utils utils.gplot(vel,flux,par) .. |gaussfitfig| image:: gaussfit.png :width: 800 :alt: Gaussian Fit to Spectrum |gaussfitfig| To fit an entire datacube, you can either give the driver code a datacube object you have already created or give it a FITS filename. .. code-block:: python from gaussdecomp import cube,driver # Load the cube first datacube = cube.Cube.read('mycube.fits') gstruc = driver.driver(datacube) # Give it the FITS filename gstruc = driver.driver('mycube.fits') See the :doc:`examples` page for some examples of how Python |gaussdecomp| runs.