JuliaAstro · abhro · Jun 1, 2026 · Jun 1, 2026
diff --git a/src/tutorials/dust-extinction.jl b/src/tutorials/dust-extinction.jl
@@ -95,7 +95,7 @@ md"""
 # ╔═╡ ed46db90-9802-4615-928f-bcad4bd19804
 md"""
 !!! todo
-	Add DQ support to DustExtinction.jl
+    Add DQ support to DustExtinction.jl
 """
 
 # ╔═╡ 0250218a-6670-483f-8122-045ca65d28e4
@@ -143,7 +143,7 @@ md"""
 ### MAST IUE Spectrum
 
 !!! note
-	For more on querying MAST's TAP service, see: <https://mast.stsci.edu/vo-tap/>
+    For more on querying MAST's TAP service, see: <https://mast.stsci.edu/vo-tap/>
 """
 
 # ╔═╡ d57bbe7f-b21a-479a-8249-a96d6aac3e95
@@ -154,8 +154,8 @@ df_spectra = execute(
     FROM ivoa.ObsCore
     WHERE target_name = 'HD 147933'
     AND CONTAINS(
-    	POINT('ICRS', s_ra, s_dec),
-    	CIRCLE('ICRS', 246.396, -23.447, .00028)
+        POINT('ICRS', s_ra, s_dec),
+        CIRCLE('ICRS', 246.396, -23.447, .00028)
     ) = 1
     AND dataproduct_type = 'spectrum'
     """
@@ -199,7 +199,7 @@ io = decompress_gz_to_iobuffer(fpath)
 # ╔═╡ 216027cd-7737-4056-9abc-d71c899f7568
 md"""
 !!! todo
-	Move decompression bit to FITSFiles.jl? Does something like this already exist in Base somewhere?
+    Move decompression bit to FITSFiles.jl? Does something like this already exist in Base somewhere?
 """
 
 # ╔═╡ 904a9095-e2a2-4c3e-8070-719033a5c6b3
@@ -287,7 +287,7 @@ flux_U0_nu, flux_B0_nu, flux_V0_nu = (1.81e-23, 4.26e-23, 3.64e-23) .* u"W/m^2/H
 # ╔═╡ df87135d-59cb-4a2f-be9f-f76c4203c645
 md"""
 !!! note
-	More photometric definitions here: <https://ned.ipac.caltech.edu/help/photoband.lst>
+    More photometric definitions here: <https://ned.ipac.caltech.edu/help/photoband.lst>
 """
 
 # ╔═╡ 36f69f11-10d8-4d42-b587-2b885f497973
@@ -314,7 +314,7 @@ flux_phot = [
 # ╔═╡ 637830ec-1b5a-4eaa-bb76-55acd3b08985
 md"""
 !!! note
-	See [PhotometricFilters.jl](https://juliaastro.org/PhotometricFilters) for a comprehensive treatment of photometric filter curves.
+    See [PhotometricFilters.jl](https://juliaastro.org/PhotometricFilters) for a comprehensive treatment of photometric filter curves.
 """
 
 # ╔═╡ e59fa830-195f-45fe-bdc0-b4a2b23cd8c4
@@ -445,16 +445,16 @@ _Original authors: Kristen Larson, Lia Corrales, Stephanie T. Douglas, Kelle Cru
 _Original input from: Emir Karamehmetoglu, Pey Lian Lim, Karl Gordon, Kevin Covey_
 
 !!! tip "Learning goals"
-	- Investigate extinction curve shapes.
-	- Deredden spectral energy distributions and spectra.
-	- Calculate photometric extinction and reddening.
-	- Calculate synthetic photometry for a dust-reddened star. (todo)
-	- Convert from frequency to wavelength.
+    - Investigate extinction curve shapes.
+    - Deredden spectral energy distributions and spectra.
+    - Calculate photometric extinction and reddening.
+    - Calculate synthetic photometry for a dust-reddened star. (todo)
+    - Convert from frequency to wavelength.
 
 $(keywords())
 
 !!! warning "Companion content"
-	Content here.
+    Content here.
 """
 
 # ╔═╡ Cell order:

diff --git a/src/tutorials/fileio-asdf.jl b/src/tutorials/fileio-asdf.jl
@@ -69,14 +69,14 @@ md"""
 # Working with ASDF files
 
 !!! tip "Learning goals"
-	- Goal 1
-	- Goal 2
-	- Goal 3
+    - Goal 1
+    - Goal 2
+    - Goal 3
 
 $(keywords())
 
 !!! warning "Companion content"
-	Content here.
+    Content here.
 """
 
 # ╔═╡ 00000000-0000-0000-0000-000000000001

diff --git a/src/tutorials/fileio-fits_images.jl b/src/tutorials/fileio-fits_images.jl
@@ -75,7 +75,7 @@ end
 # ╔═╡ ae04bf64-0ea2-4da2-b6ae-a86f11a786b8
 md"""
 !!! note
-	We use the mutating version of `@rsubset` (note the exclamation mark above) because we do not need to preserve the original `DataFrame`, `df_evt`, in this case. For more on mutating functions, see [this section](https://docs.julialang.org/en/v1/manual/variables/#man-assignment-expressions) of the Julia manual.
+    We use the mutating version of `@rsubset` (note the exclamation mark above) because we do not need to preserve the original `DataFrame`, `df_evt`, in this case. For more on mutating functions, see [this section](https://docs.julialang.org/en/v1/manual/variables/#man-assignment-expressions) of the Julia manual.
 
 We next look at a few different ways that we can visualize the 2D histogram that we roughly previewed in the previous tutorial; from explicit (less convenient) to implicit (more convenient).
 """
@@ -88,7 +88,7 @@ md"""
 
 [^1]: This package currently uses [FITSIO.jl](https://juliaastro.org/FITSIO/), a convenience wrapper around a second wrapper, [CFITSIO.jl](http://juliaastro.org/CFITSIO/), which wraps the [CFITSIO C library](https://heasarc.gsfc.nasa.gov/docs/software/fitsio/fitsio.html) for FITS file I/O. Currently, FITSIO.jl cannot handle opening tables containing BitArray data.
 
-	On the horizon, AstroImages.jl will use [FITSFiles.jl](https://barrettp.github.io/FITSFiles.jl/dev/) as its backend, the pure-Julia alternative currently being developed by JuliaAstro, which can handle this type of data. This is why we used it directly in the previous tutorial. Stay tuned for more!
+On the horizon, AstroImages.jl will use [FITSFiles.jl](https://barrettp.github.io/FITSFiles.jl/dev/) as its backend, the pure-Julia alternative currently being developed by JuliaAstro, which can handle this type of data. This is why we used it directly in the previous tutorial. Stay tuned for more!
 """
 
 # ╔═╡ c04d7668-32ff-4131-8796-007d1637f56f
@@ -119,7 +119,7 @@ md"""
 We can immediately see structure appear in our image, and the outlines of the four main (ACIS-I) chips. Try adjusting the imaging options commented out above to modify the image. See the `imview` documentation in the Live docs of this notebook for all available options.
 
 !!! tip
-	Try passing your own AbstractArray to `imview`. This function converts an array of numbers to an array of `ColorTypes` (i.e., RGB values) for visualizing our arrays in full color. For more on this, see the [Arrays, Numbers, and Colors](https://juliaimages.org/latest/tutorials/arrays_colors/#page_arrays_colors) section of the JuliaImages documentation.
+    Try passing your own AbstractArray to `imview`. This function converts an array of numbers to an array of `ColorTypes` (i.e., RGB values) for visualizing our arrays in full color. For more on this, see the [Arrays, Numbers, and Colors](https://juliaimages.org/latest/tutorials/arrays_colors/#page_arrays_colors) section of the JuliaImages documentation.
 """
 
 # ╔═╡ d031ddf9-ee84-46b2-b387-1ec99a2ca79b
@@ -161,7 +161,7 @@ end
 # ╔═╡ 74f155a2-fe8a-404f-b0c6-7a4f2724c408
 md"""
 !!! tip
-	Try adjusting the plot options above, or try adding your own! See the [Getting started](https://docs.makie.org/stable/tutorials/getting-started) section of the Makie.jl documentation for a comprehensive tutorial.
+    Try adjusting the plot options above, or try adding your own! See the [Getting started](https://docs.makie.org/stable/tutorials/getting-started) section of the Makie.jl documentation for a comprehensive tutorial.
 
 You may notice that there are still a few things missing from our plot that would be nice to have by default, e.g., labeled axes and a formatted colorbar. We will show an ergonomic way to do this next.
 """
@@ -198,7 +198,7 @@ Here, we reproduce the previous plot above, but now with the desired axes labeli
 Additionally, note that we are working directly with the DataFrame object `df_evt-main` now instead of needing to manually fit a histogram beforehand.
 
 !!! tip
-	See this very nice [tutorial series](https://aog.makie.org/stable/tutorials/intro-i) in the AlgebraOfGraphics.jl documentation for more.
+    See this very nice [tutorial series](https://aog.makie.org/stable/tutorials/intro-i) in the AlgebraOfGraphics.jl documentation for more.
 
 We now turn to working directly with FITS image data.
 """
@@ -238,7 +238,7 @@ md"""
 We see that our image is an $(size(img_data, 1)) × $(size(img_data, 2)) array of $(eltype(img_data)) data. This can be visualized in the same way as our previous heatmap example, which we will show next.
 
 !!! tip "Todo"
-	We use the `scale = false` keyword in our `fits` call to preserve the original data type specified in the `BITPIX` header card. For more, see <documentation coming soon>.
+    We use the `scale = false` keyword in our `fits` call to preserve the original data type specified in the `BITPIX` header card. For more, see <documentation coming soon>.
 """
 
 # ╔═╡ b3c6961a-b8a6-4597-aaf7-a97cae793670
@@ -373,19 +373,19 @@ end
 # ╔═╡ 215e0183-adfa-4da0-80d7-108894f73f23
 md"""
 !!! tip
-	This is just an alternative syntax to array comprehensions. We could have just as easily done:
-
-	```julia
-	[
-		@sprintf(
-			"http://data.astropy.org/tutorials/FITS-images/M13_blue_%04d.fits",
-			i
-		)
-		for i in 1:5
-	]
-	```
-
-	See [this section of the Julia manual](https://docs.julialang.org/en/v1/manual/functions/#Do-Block-Syntax-for-Function-Arguments) for more on do-block syntax.
+    This is just an alternative syntax to array comprehensions. We could have just as easily done:
+
+    ```julia
+    [
+        @sprintf(
+            "http://data.astropy.org/tutorials/FITS-images/M13_blue_%04d.fits",
+            i
+        )
+        for i in 1:5
+    ]
+    ```
+
+    See [this section of the Julia manual](https://docs.julialang.org/en/v1/manual/functions/#Do-Block-Syntax-for-Function-Arguments) for more on do-block syntax.
 """
 
 # ╔═╡ 4dc4074e-b3d3-4deb-a657-8a7847a8c156
@@ -459,14 +459,14 @@ This notebook is modified from <https://learn.astropy.org/tutorials/FITS-images.
 _Original authors: Lia Corrales, Kris Stern, Stephanie T. Douglas, Kelle Cruz, Lúthien Liu, Zihao Chen, Saima Siddiqui_
 
 !!! tip "Learning goals"
-	- Customize a 2D histogram with image data.
-	- Stack several images into a single image (Todo).
-	- Write image data to a FITS file (Todo).
+    - Customize a 2D histogram with image data.
+    - Stack several images into a single image (Todo).
+    - Write image data to a FITS file (Todo).
 
 $(keywords())
 
 !!! warning "Companion content"
-	[learn.JuliaAstro > Working with FITS tables](/tutorials/fits-tables/)
+    [learn.JuliaAstro > Working with FITS tables](/tutorials/fits-tables/)
 """
 
 # ╔═╡ 00000000-0000-0000-0000-000000000001

diff --git a/src/tutorials/fileio-fits_tables.jl b/src/tutorials/fileio-fits_tables.jl
@@ -68,10 +68,10 @@ hdus = fits(event_filename)
 # ╔═╡ a577f6a1-00e4-4fa1-9030-a14ca1ebefc6
 """
 !!! note
-	For convenience, FITS files opened from a local directory, e.g., `$(event_filename)`, are automatically closed for us.
+    For convenience, FITS files opened from a local directory, e.g., `$(event_filename)`, are automatically closed for us.
 
 !!! todo
-	Include HDUNAME and/or EXTNAME column(s) in displayed `info`?
+    Include HDUNAME and/or EXTNAME column(s) in displayed `info`?
 """ |> Markdown.parse
 
 # ╔═╡ 2a907d46-51d5-4232-a737-6d19aab073c4
@@ -85,33 +85,33 @@ hdus[2].data |> keys
 # ╔═╡ fe27a708-66d3-4f91-abe1-ce0135d04879
 md"""
 !!! todo
-	Define a function for this? e.g.,
-
-	```julia
-	function FITSFiles.names(hdu::FITSFiles.HDU{FITSFiles.Bintable})
-
-		<parse hdu.cards for TTYPEN, TFORMN, TUNITN, etc.>
-
-		return (
-			(name = "", format = "", ...), # col1
-			(name = "", format = "", unit = "") # col2
-			...
-			(name = "", format = "", coord_type = "") # colN
-		)
-	end
-	```
-
-	Analogous to hdu.columns in astropy:
-
-	```
-	ColDefs(
-		name = 'time'; format = '1D'; unit = 's'
-		name = 'ccd_id'; format = '1I'
-		name = 'node_id'; format = '1I'
-		name = 'expno'; format = '1J'
-		...
-	)
-	```
+    Define a function for this? e.g.,
+
+    ```julia
+    function FITSFiles.names(hdu::FITSFiles.HDU{FITSFiles.Bintable})
+
+        <parse hdu.cards for TTYPEN, TFORMN, TUNITN, etc.>
+
+        return (
+            (name = "", format = "", ...), # col1
+            (name = "", format = "", unit = "") # col2
+            ...
+            (name = "", format = "", coord_type = "") # colN
+        )
+    end
+    ```
+
+    Analogous to hdu.columns in astropy:
+
+    ```
+    ColDefs(
+        name = 'time'; format = '1D'; unit = 's'
+        name = 'ccd_id'; format = '1I'
+        name = 'node_id'; format = '1I'
+        name = 'expno'; format = '1J'
+        ...
+    )
+    ```
 """
 
 # ╔═╡ 2497c869-17e4-4f5f-9534-30beab70a8ad
@@ -125,7 +125,7 @@ df_evt = DataFrame(hdus[2].data)
 # ╔═╡ 8ec6647e-b58e-4d9c-9ddf-97cca6da4d75
 md"""
 !!! note
-	For people coming from other languages, this [comparison page](https://dataframes.juliadata.org/stable/man/comparisons/#Comparisons) in the DataFrames.jl documentation may be helpful.
+    For people coming from other languages, this [comparison page](https://dataframes.juliadata.org/stable/man/comparisons/#Comparisons) in the DataFrames.jl documentation may be helpful.
 
 While it's possible to access FITS tables directly from the `.data` attribute, wrapping it in a `DataFrame` tends to make a variety of common tasks more convenient; for example, subsetting and directly plotting data, as we will show next.
 """
@@ -143,7 +143,7 @@ plot(df_evt; x = :energy, kind = :histogram, nbinsx = 80)
 # ╔═╡ b07413d3-7c29-4f9d-8be6-7bc5118e186d
 md"""
 !!! tip
-	We are using the small [PlutoPlotly.jl](https://github.com/JuliaPluto/PlutoPlotly.jl) package for easy interactivity in this notebook format. For publication quality plots with a wide range of analysis and customizations, see the modern [Makie.jl](https://makie.org) plotting package, which powers the [AlgebraOfGraphics.jl](https://aog.makie.org/stable/) framework for visualizing structured data. We will show examples of its use in our [Working with FITS images](/tutorials/fits-images/) tutorial.
+    We are using the small [PlutoPlotly.jl](https://github.com/JuliaPluto/PlutoPlotly.jl) package for easy interactivity in this notebook format. For publication quality plots with a wide range of analysis and customizations, see the modern [Makie.jl](https://makie.org) plotting package, which powers the [AlgebraOfGraphics.jl](https://aog.makie.org/stable/) framework for visualizing structured data. We will show examples of its use in our [Working with FITS images](/tutorials/fits-images/) tutorial.
 """
 
 # ╔═╡ 66629892-ce42-44a9-9a36-6582545bda8e
@@ -159,9 +159,9 @@ df_evt_main = @rsubset df_evt :ccd_id ∈ 0:3
 # ╔═╡ 831e74cd-fc5f-4e8b-862b-898cd7262596
 md"""
 !!! note
-	We use the `@rsubset` convenience macro exported from DataFramesMeta.jl to select the desired rows from our table, in this case the rows where the `ccd_id` are equal to either 0, 1, 2, or 3. For more on working with `DataFrames` and using other convenience macros, see the [DataFrames.jl](https://dataframes.juliadata.org/) and [DataFramesMeta.jl](https://juliadata.org/DataFramesMeta.jl/) documentation.
+    We use the `@rsubset` convenience macro exported from DataFramesMeta.jl to select the desired rows from our table, in this case the rows where the `ccd_id` are equal to either 0, 1, 2, or 3. For more on working with `DataFrames` and using other convenience macros, see the [DataFrames.jl](https://dataframes.juliadata.org/) and [DataFramesMeta.jl](https://juliadata.org/DataFramesMeta.jl/) documentation.
 
-	In particular, people coming from other languages may find this [short comparison table](https://juliadata.org/DataFramesMeta.jl/stable/#Comparison-with-dplyr-and-LINQ) of convenience macros in the DataFramesMeta.jl documentation helpful.
+    In particular, people coming from other languages may find this [short comparison table](https://juliadata.org/DataFramesMeta.jl/stable/#Comparison-with-dplyr-and-LINQ) of convenience macros in the DataFramesMeta.jl documentation helpful.
 """
 
 # ╔═╡ 2e1b6a9c-5005-4862-96e6-1ab1fa253509
@@ -207,14 +207,14 @@ This notebook is modified from <https://learn.astropy.org/tutorials/FITS-tables.
 _Original authors: Lia Corrales, Kris Stern_
 
 !!! tip "Learning goals"
-	- Download a FITS table file from a URL.
-	- Open a FITS table file and view table contents.
-	- Make a 2D histogram with the table data.
+    - Download a FITS table file from a URL.
+    - Open a FITS table file and view table contents.
+    - Make a 2D histogram with the table data.
 
 $(keywords())
 
 !!! warning "Companion content"
-	Content here.
+    Content here.
 """
 
 # ╔═╡ 00000000-0000-0000-0000-000000000001