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fix section headings
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tutorials/notebooks/Coordinates-Intro/Coordinates-Intro.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Download an image\n",
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"## Download an image\n",
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"Now that we have a `SkyCoord` object, we can try to use it to access data from the [Sloan Digitial Sky Survey](http://www.sdss.org/) (SDSS). Let's start by trying to get a picture using the SDSS image cutout service to make sure HCG7 is in the SDSS footprint and has good image quality.\n",
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"\n",
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"This requires an internet connection, but if it fails, don't worry: the file is included in the repository so you can just let it use the local file``'HCG7_SDSS_cutout.jpg'``, defined at the top of the cell. "
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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"version": "3.6.4"
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}
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},
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"nbformat": 4,

tutorials/notebooks/Coordinates-Transform/Coordinates-Transform.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Transforming between coordinate systems - Coordinates series 2"
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"# Transforming between coordinate systems"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Section 0: Quickstart"
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"## Section 0: Quickstart"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Section 1: "
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"## Section 1: "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Section 2:"
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"## Section 2:"
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]
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},
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{
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.2"
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"version": "3.6.4"
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}
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},
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"nbformat": 4,

tutorials/notebooks/FITS-cubes/FITS-cubes.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Download the HI Data\n",
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"## Download the HI Data\n",
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"\n",
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"We will be using HI 21 cm emission data from the [HI4Pi survey](http://adsabs.harvard.edu/cgi-bin/bib_query?arXiv:1610.06175). We want to look at neutral gas emission from the Magellanic Clouds, learn about the kinematics of the system and column densities. Using the vizier catalog, we have found a relevant data cube to use covering this region of the sky. You can also download an allsky data cube, but this is a very large file, so picking out sub-sections can be useful!\n",
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"\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Make a smaller cube, focusing on the Magellanic Clouds\n",
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"## Make a smaller cube, focusing on the Magellanic Clouds\n",
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"\n",
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"The HI data cube we downloaded is bigger than we actually need it to be. Let's try zooming in on just the part we need and make a new sub_cube. \n",
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"\n",
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"collapsed": true
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},
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"source": [
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"# Find and Download a Herschel Image\n",
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"## Find and Download a Herschel Image\n",
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"\n",
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"This is great, but we want to compare the HI emission data with Herschel 350 micron emission to trace some dust. This can be done easily with [astroquery](http://www.astropy.org/astroquery/). \n",
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"We can query for the data by mission, take a quick look at the table of results, and download data after selecting a specific wavelength or filter. \n",

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