iact_estimator.plots.multi_wavelength
=====================================

.. py:module:: iact_estimator.plots.multi_wavelength

.. autoapi-nested-parse::

   Plotting functions related to other wavelengths.

   ..
       !! processed by numpydoc !!


Functions
---------

.. autoapisummary::

   iact_estimator.plots.multi_wavelength.plot_from_skyview_survey


Module Contents
---------------

.. py:function:: plot_from_skyview_survey(target_source, survey_name='DSS', fov_radius=10 * u.arcmin, log=False, ax=None, reticle=False, style_kwargs=None, reticle_style_kwargs=None)

   
   Plot a survey image from the SkyView service centered on ``target``.


   :Parameters:

       **target** : `~astroplan.FixedTarget`, `~astropy.coordinates.SkyCoord`
           Coordinates of celestial object

       **survey** : string
           Name of survey to retrieve image from. For dictionary of
           available surveys, use
           ``from astroquery.skyview import SkyView; SkyView.list_surveys()``.
           Defaults to ``'DSS'``, the Digital Sky Survey.

       **fov_radius** : `~astropy.units.Quantity`
           Radius of field of view of retrieved image. Defaults to 10 arcmin.

       **log** : bool, optional
           Take the natural logarithm of the FITS image if `True`.
           False by default.

       **ax** : `~matplotlib.axes.Axes` or None, optional.
           The `~matplotlib.axes.Axes` object to be drawn on.
           If None, uses the current `~matplotlib.axes.Axes`.

       **reticle** : bool, optional
           Draw reticle on the center of the FOV if `True`. Default is `False`.

       **style_kwargs** : dict or `None`, optional.
           A dictionary of keywords passed into `~matplotlib.pyplot.imshow`
           to set plotting styles.

       **reticle_style_kwargs** : dict or `None`, optional
           A dictionary of keywords passed into `~matplotlib.pyplot.axvline` and
           `~matplotlib.pyplot.axhline` to set reticle style.



   :Returns:

       **ax** : `~matplotlib.axes.Axes`
           Matplotlib axes with survey image centered on ``target``

       **hdu** : `~astropy.io.fits.PrimaryHDU`
           FITS HDU of the retrieved image








   .. rubric:: Notes

   This is wrapper function around `astroplan.plots.plot_finder_image()`.



   ..
       !! processed by numpydoc !!