From 286a1b4945dbc919b85aaf54b40bbfb8de326f95 Mon Sep 17 00:00:00 2001 From: abhro <5664668+abhro@users.noreply.github.com> Date: Fri, 15 May 2026 00:20:30 -0400 Subject: [PATCH 1/2] Create synthetic-images.jl --- src/tutorials/models-synthetic_images.jl | 2480 ++++++++++++++++++++++ 1 file changed, 2480 insertions(+) create mode 100644 src/tutorials/models-synthetic_images.jl diff --git a/src/tutorials/models-synthetic_images.jl b/src/tutorials/models-synthetic_images.jl new file mode 100644 index 0000000..e4d3066 --- /dev/null +++ b/src/tutorials/models-synthetic_images.jl @@ -0,0 +1,2480 @@ +### A Pluto.jl notebook ### +# v1.0.2 + +#> [frontmatter] +#> title = "Synthetic Images from simulated data" +#> layout = "layout.jlhtml" +#> date = "2025-12-31" +#> description = "TODO" +#> tags = ["TODO"] + +using Markdown +using InteractiveUtils + +# ╔═╡ 9d8e8bbc-c6d7-4646-8660-62c4d42dcc34 +begin + using FITSIO + using CairoMakie + using SkyCoords + using Downloads: download + using Unitful, UnitfulAstro + using PSFModels + using Distributions + using DSP: conv +end + +# ╔═╡ f62ff3ee-616a-11ef-1dbc-ed0b7632e565 +md""" +# Synthetic Images from simulated data +""" + +# ╔═╡ 9f351dcb-d673-41e9-9bd4-2b6aa370668b +md""" +Tutorial modified from + +Original authors: +Yi-Hao Chen, Sebastian Heinz, Kelle Cruz, Stephanie T. Douglas +""" + +# ╔═╡ be0efdf1-eb53-4cc3-adc5-29da71659da4 +md""" +!!! tip "Learning Goals" + - Assign WCS astrometry to an image using `astropy.wcs` + - Construct a PSF using `astropy.modeling.model` + - Convolve raw data with PSF using `astropy.convolution` + - Calculate polarization fraction and angle from Stokes I, Q, U data + - Overplot quivers on the image +""" + +# ╔═╡ 056f460f-31e0-407c-99c9-8ade5ff318c6 +md""" +!!! note "Keywords" + modeling, convolution, coordinates, WCS, FITS, radio astronomy, matplotlib, colorbar +""" + +# ╔═╡ cfd34de0-4e20-4e33-ab09-97c0c275d787 +md""" +## Load and examine the FITS file +""" + +# ╔═╡ 41474fbb-cf99-4b06-b054-54ad38e7c8f0 +md""" +Here we begin with a 2-dimensional data that were stored in FITS format from some simulations. We have Stokes I, Q, and U maps. We we'll first load a FITS file and examine the header. +""" + +# ╔═╡ e12d49c3-0147-4e46-bb92-d7514beb275f +file_i = download("http://data.astropy.org/tutorials/synthetic-images/synchrotron_i_lobe_0700_150MHz_sm.fits") + +# ╔═╡ ffb1d7b7-8ba1-46d1-bc79-71d3ebd38c75 +hdulist = FITS(file_i) + +# ╔═╡ 1720dc04-e223-451a-aa69-6470320b8ae6 +hdu = hdulist["NN_EMISSIVITY_I_LOBE_150.0MHZ"] + +# ╔═╡ 3566d676-c72e-4a43-8df4-d51db7c0a075 +header = read_header(hdu) + +# ╔═╡ 0f234a25-3cdb-4b1f-835f-4fcf0483b21f +md""" +We can see this FITS file, which was created in [yt](https://yt-project.org/), has x and y coordinate in physical units (cm). We want to convert it into sky coordinates. Before we proceed, let's find out the range of the data and plot a histogram. +""" + +# ╔═╡ 2fd80ee1-bed0-4cb0-b737-a4e11c84d548 +hdudata = read(hdu) + +# ╔═╡ 49263ba2-a9c4-413b-a269-8aa96d32fb1d +maximum(hdudata) + +# ╔═╡ aae2255e-50bd-482f-aa80-acec3d48e7bb +minimum(hdudata) + +# ╔═╡ 032f4074-a895-43fb-acd9-aa08a110fe7f +hist( + log10.(hdudata) |> filter(isfinite) |> filter(x -> -3 ≤ x ≤ 2), + bins = 100, +) + +# ╔═╡ 22bcd342-cb22-44c4-93a3-b1c6d0bf0577 +md""" +Once we know the range of the data, we can do a visualization with the proper range (`vmin` and `vmax`). +""" + +# ╔═╡ aaa0cff5-a00f-4299-9110-5398c9f9299b +image(log10.(hdudata .+ 1.0e-3); colormap = :viridis, axis = (; aspect = DataAspect())) + +# ╔═╡ 11c76b80-5b82-4dcc-a3e3-a7354e7f1620 +md""" +## Set up astrometry coordinates +""" + +# ╔═╡ 424da99c-7daa-4986-80e6-e00942532c4c +md""" +From the header, we know that the x and y axes are in centimeter. However, in an observation we usually have RA and Dec. To convert physical units to sky coordinates, we will need to make some assumptions about where the object is located, i.e. the distance to the object and the central RA and Dec. +""" + +# ╔═╡ 0efabced-73cd-4d33-8c16-e7ef97c27985 +# distance to the object +dist_obj = 200u"Mpc" + +# ╔═╡ a079c29b-51f7-4792-b0b6-55d4445bf27b +begin + # We have the RA in hh:mm:ss and DEC in dd:mm:ss format. + # We will use Skycoord to convert them into degrees later. + ra_obj = "19h59m28.3566s" + dec_obj = "+40d44m02.096s" +end; + +# ╔═╡ e687ed03-a920-43a8-9cc6-cf5204e21203 +md""" +Here we convert the pixel scale from cm to degree by dividing the distance to the object. +""" + +# ╔═╡ 6b66a95d-41cf-4ff7-a40d-34ea29efb5f7 +cdelt1 = rad2deg(uconvert(NoUnits, header["CDELT1"] * u"cm" / dist_obj)) * u"°" + +# ╔═╡ b520e14c-adb7-431c-9a7f-7b59dd8ff9e8 +cdelt2 = rad2deg(uconvert(NoUnits, header["CDELT1"] * u"cm" / dist_obj)) * u"°" + +# ╔═╡ eb63b7cd-9e4b-42ce-98cc-483392b5c1b3 +md""" +Use `astropy.wcs.WCS` to prepare a FITS header. +""" + +# ╔═╡ a80451b5-3262-475f-9033-cc2819b7371e + + +# ╔═╡ 8b1ff476-2cf4-4194-af0a-e22d4f09925e +md""" +Now we can convert the WCS coordinate into header and update the hdu. +""" + +# ╔═╡ da3f9d83-de49-4bcd-aeb6-60a477fd12c6 + + +# ╔═╡ 0baef7bf-7b71-4442-8cde-41b5cae00f6e +md""" +Let's take a look at the header. `CDELT1`, `CDELT2`, `CUNIT1`, `CUNIT2`, `CRVAL1`, and `CRVAL2` are in sky coordinates now. +""" + +# ╔═╡ f6aafafe-16e3-4412-b746-2148df46052f + + +# ╔═╡ b4ff8e12-50ab-4916-a675-68509d5c4bf9 + + +# ╔═╡ 8d534f3b-c94c-449e-8c10-494136895a0c +md""" +Now we have the sky coordinate for the image! +""" + +# ╔═╡ 0fcd67c4-003a-499b-9cf5-d29d91ec58b8 +md""" +## Prepare a Point Spread Function (PSF) +""" + +# ╔═╡ 868e449c-ae66-43fe-bc67-3167bb4346fe +md""" +Simple PSFs are included in `astropy.convolution.kernel`. We'll use `astropy.convolution.Gaussian2DKernel` here. First we need to set the telescope resolution. For a 2D Gaussian, we can calculate sigma in pixels by using our pixel scale keyword `cdelt2` from above. +""" + +# ╔═╡ 1a5ab009-a0ce-4a11-803b-be2b23ae91e5 +# assume our telescope has 1 arcsecond resolution +telescope_resolution = 1u"arcsecond" + +# ╔═╡ 325a6426-4317-40bb-85e2-e65af31eb893 +# calculate the sigma in pixels. Greek σ typed with `\sigma` +σ = telescope_resolution / cdelt2 |> NoUnits + +# ╔═╡ 2aa657c5-4d03-4bf4-9a4c-43421f594a29 +psf = gaussian(x = 0, y = 0, fwhm = 2σ) + +# ╔═╡ 9ba88f10-1ef6-4e39-ab4c-7e93b14e054e +let xs = range(-4σ, 4σ, length = 1000) + heatmap(xs, xs, psf; axis = (; aspect = DataAspect())) +end + +# ╔═╡ b651809b-7c70-4f9a-95b3-c05dd4e5b0ac +md""" +### How to do this without astropy kernels +""" + +# ╔═╡ dd70bbc6-eecf-4f06-9610-cf2019c1cc58 +md""" +Maybe your PSF is more complicated. Here’s an alternative way to do this, using a 2D Lorentzian +""" + +# ╔═╡ 6ac12546-242c-4f5c-abdf-0622348559a2 +γ = σ; # typed with `\gamma` + +# ╔═╡ 2b434735-39ee-433e-a1e6-5a326d7b3cd9 +x_grid = let + n = trunc(Int, 8γ) + range(-4γ, 4γ, length = n) * ones(n)' +end + +# ╔═╡ 7afd2348-8c8e-4893-823f-1347bc09be48 +r_grid = @. sqrt(x_grid^2 + x_grid'^2) + +# ╔═╡ 5f8b5f59-af61-40b2-93ed-e9ad6da1e23c +lorentzian = Cauchy(0, γ) + +# ╔═╡ abd4c872-7245-470a-b6d2-62756d04c9ef +# extrude a 2D azimuthally symmetric PSF +begin + lorentzian_psf = pdf.(lorentzian, r_grid) + lorentzian_psf ./= sum(lorentzian_psf) +end + +# ╔═╡ c7d31477-3da9-4b0d-92c9-331adb0b4ed5 +image(lorentzian_psf, axis = (; aspect = DataAspect()), colormap = :viridis) + +# ╔═╡ 2daf08cf-0f64-437e-9e95-47a4e23a6dbf +md""" +## Convolve image with PSF +""" + +# ╔═╡ d2350ed0-c30d-4d28-9411-752437e5491b +md""" +Here we use [DSP.jl's](https://docs.juliadsp.org) `conv()` to convolve image. This routine uses Fourier transform for faster calculation. Especially since our data is ``2^n`` sized, which makes it particularly fast. Using a FFT, however, causes boundary effects. We’ll need to specify how we want to handle the boundary. Here we choose to “wrap” the data, which means making the data periodic. +""" + +# ╔═╡ 8bb74155-a073-45d4-87c3-55fa881df152 +convolved_image = conv(hdudata, lorentzian_psf) + +# ╔═╡ c3c49a4e-f911-4d28-8a29-e6fb7a5c5cb0 +Δx_psf = 100 # number of pixels from the edges + +# ╔═╡ f7ee67d3-4e6e-43a5-b2ce-4fceb3eb3f2b +xmin, xmax = -size(lorentzian_psf, 2) - Δx_psf, -Δx_psf + +# ╔═╡ 3c14f016-b29b-4126-80b8-a78e7e757164 +ymin, ymax = Δx_psf, Δx_psf + size(lorentzian_psf, 1) + +# ╔═╡ ee763d94-d331-4201-a683-50f01e6c3f83 +md""" +Now let’s take a look at the convolved image. +""" + +# ╔═╡ 3b2a7d81-d454-47be-bed6-545c460a6f4d +let + fig, ax, img = image( + convolved_image'; colormap = :viridis, + axis = (; xreversed = true, yreversed = true) + ) + Colorbar(fig[1, 2], img) + fig +end + +# ╔═╡ f8cb328f-26b4-4ad8-895b-af942a7d810e +md""" +## Convolve Stokes Q and U images +""" + +# ╔═╡ 30758a10-114c-4d7e-9d16-93c9a0539de3 +hdulist + +# ╔═╡ 84cf8413-95f2-4e9a-88c6-ec838f3ac3f9 +file_q = download("http://data.astropy.org/tutorials/synthetic-images/synchrotron_q_lobe_0700_150MHz_sm.fits") + +# ╔═╡ c4e83f14-381d-44ff-9a86-6c966a6c7c4d +hdulist_q = FITS(file_q) + +# ╔═╡ 3e987b71-8a2f-41d9-b07a-6d66932cdaf3 +hdu_q = hdulist_q["NN_EMISSIVITY_Q_LOBE_150.0MHZ"] + +# ╔═╡ d257da92-060d-458b-a23b-6aae40a51d36 +file_u = download("http://data.astropy.org/tutorials/synthetic-images/synchrotron_u_lobe_0700_150MHz_sm.fits") + +# ╔═╡ c923a085-74bb-4b73-aae7-6dc309520603 +hdulist_u = FITS(file_q) + +# ╔═╡ eea09288-bcf8-471d-bf47-dca0bc4f11ef +hdu_u = hdulist_u["NN_EMISSIVITY_Q_LOBE_150.0MHZ"] + +# ╔═╡ 375fada9-9ac1-4522-998e-aeaf307a7af2 +md""" +Update the header with the wcs_header we created earlier +""" + +# ╔═╡ 14973066-e8dc-42ea-8f17-090313973b9d +# TODO + +# ╔═╡ 6cee1052-765f-4085-b542-8f91e15e0bed +md""" +Convolve the images with the the psf +""" + +# ╔═╡ 7bad4342-0568-4d90-b861-3ea382f852ae +convolved_image_q = conv(read(hdu_q), lorentzian_psf) + +# ╔═╡ 4fa1e4d7-6325-49fa-947b-eee47d27755e +convolved_image_u = conv(read(hdu_u), lorentzian_psf) + +# ╔═╡ 94c59eea-d169-489e-a58c-16e0beecbd9d +md""" +Let’s plot the Q and U images. +""" + +# ╔═╡ f4f4b625-e86f-4cf9-8c36-9479f29539e2 +let fig = Figure() + ax1 = Axis(fig[1, 1]; xlabel = "RA", ylabel = "Dec", aspect = DataAspect()) + im1 = image!(ax1, convolved_image_q, colormap = :seismic) + Colorbar(fig[1, 2], im1) + ax2 = Axis(fig[1, 3]; xlabel = "RA", ylabel = "Dec", aspect = DataAspect()) + im2 = image!(ax2, convolved_image_u, colormap = :seismic) + Colorbar(fig[1, 4], im2) + fig +end + +# ╔═╡ e6971a8b-d017-4719-bb32-9dd9446d47cd +md""" +## Calculate polarization angle and fraction for quiver plot +""" + +# ╔═╡ f53e13f0-ce9b-44ac-9643-e02e33bf8429 +md""" +Note that rotating Stokes Q and I maps requires changing signs of both. Here we assume that the Stokes q and u maps were calculated defining the y/declination axis as vertical, such that Q is positive for polarization vectors along the x/right-ascention axis. +""" + +# ╔═╡ 79e9de31-e607-420b-824f-aca14c546658 +let fig = Figure() + ax = Axis(fig[1, 1]; aspect = DataAspect()) + + i_plot = image!(ax, log10.(convolved_image .+ 1.0e-3), colormap = :viridis) + + # binning factor + factor = [71, 44] + # re-binned number of points in each axis + nx_new = size(convolved_image, 2) ÷ factor[1] + ny_new = size(convolved_image, 1) ÷ factor[2] + + # These are the positions of the quivers + x = range(1, size(convolved_image, 1), length = factor[1]) + y = range(1, size(convolved_image, 2), length = factor[2]) + + # bin the data + I_bin = dropdims(sum(sum(reshape(convolved_image, nx_new, factor[1], ny_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) + Q_bin = dropdims(sum(sum(reshape(convolved_image_q, nx_new, factor[1], ny_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) + U_bin = dropdims(sum(sum(reshape(convolved_image_u, nx_new, factor[1], ny_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) + # display(U_bin) + + ψ = atan.(U_bin, Q_bin) / 2 # polarization angle + frac = hypot.(Q_bin, U_bin) ./ I_bin # polarization fraction + + # mask for low signal area + mask = I_bin .< 0.1 + + frac[mask] .= 0 + ψ[mask] .= 0 + + pixX = frac .* cos.(ψ) .* 40 + pixY = frac .* sin.(ψ) .* 40 + + arrows2d!(ax, x, y, pixX, pixY) + + fig +end + +# ╔═╡ 8e4d50d5-b081-4fc4-a320-6a0370456c1d +md""" +## Exercise +""" + +# ╔═╡ 9a1f1c93-f723-4b05-af74-cfeded1f0c46 +md""" +### Convert the units of the data from Jy/arcsec² to Jy/beam +""" + + +# ╔═╡ 44e3a268-9514-46f3-958d-6e857ac1e8a0 +md""" +The intensity of the data is given in unit of Jy/arcsec^2. Observational data usually have the intensity unit in Jy/beam. Assuming a beam size or take the psf we created earlier, you can convert the data into Jy/beam. +""" + +# ╔═╡ 303886dd-2072-4fce-847d-44c927dded66 +md""" +# Notebook setup 🔧 +""" + +# ╔═╡ b5a47b88-d4fb-410d-abc0-dff4c83e0229 +import PlutoUI + +# ╔═╡ f5144c9e-46e7-4eb7-9cc8-84f7c531fc76 +PlutoUI.TableOfContents() + +# ╔═╡ 00000000-0000-0000-0000-000000000001 +PLUTO_PROJECT_TOML_CONTENTS = """ +[deps] +CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0" +DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2" +Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f" +Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6" +FITSIO = "525bcba6-941b-5504-bd06-fd0dc1a4d2eb" +PSFModels = "9ba017d1-7760-46cd-84a3-1e79e9ae9ddc" +PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8" +SkyCoords = "fc659fc5-75a3-5475-a2ea-3da92c065361" +Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d" +UnitfulAstro = "6112ee07-acf9-5e0f-b108-d242c714bf9f" + +[compat] +CairoMakie = "~0.15.10" +DSP = "~0.8.5" +Distributions = "~0.25.125" 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╠═b5a47b88-d4fb-410d-abc0-dff4c83e0229 +# ╠═f5144c9e-46e7-4eb7-9cc8-84f7c531fc76 +# ╟─00000000-0000-0000-0000-000000000001 +# ╟─00000000-0000-0000-0000-000000000002 From ee7df83b8c4687e6816d231ba39ce470e261560c Mon Sep 17 00:00:00 2001 From: abhro <5664668+abhro@users.noreply.github.com> Date: Tue, 11 Aug 2026 17:44:34 +0600 Subject: [PATCH 2/2] Updates --- src/tutorials/models-synthetic_images.jl | 190 ++++++++++++++++++++--- 1 file changed, 168 insertions(+), 22 deletions(-) diff --git a/src/tutorials/models-synthetic_images.jl b/src/tutorials/models-synthetic_images.jl index e4d3066..41cba2c 100644 --- a/src/tutorials/models-synthetic_images.jl +++ b/src/tutorials/models-synthetic_images.jl @@ -1,12 +1,12 @@ ### A Pluto.jl notebook ### -# v1.0.2 +# v1.0.3 #> [frontmatter] #> title = "Synthetic Images from simulated data" #> layout = "layout.jlhtml" #> date = "2025-12-31" #> description = "TODO" -#> tags = ["TODO"] +#> tags = ["modeling", "convolution", "coordinates", "WCS", "FITS", "radio astronomy", "plotting", "colorbar"] using Markdown using InteractiveUtils @@ -40,18 +40,12 @@ Yi-Hao Chen, Sebastian Heinz, Kelle Cruz, Stephanie T. Douglas md""" !!! tip "Learning Goals" - Assign WCS astrometry to an image using `astropy.wcs` - - Construct a PSF using `astropy.modeling.model` + - Construct a PSF using PSFModels.jl - Convolve raw data with PSF using `astropy.convolution` - Calculate polarization fraction and angle from Stokes I, Q, U data - Overplot quivers on the image """ -# ╔═╡ 056f460f-31e0-407c-99c9-8ade5ff318c6 -md""" -!!! note "Keywords" - modeling, convolution, coordinates, WCS, FITS, radio astronomy, matplotlib, colorbar -""" - # ╔═╡ cfd34de0-4e20-4e33-ab09-97c0c275d787 md""" ## Load and examine the FITS file @@ -100,7 +94,10 @@ Once we know the range of the data, we can do a visualization with the proper ra """ # ╔═╡ aaa0cff5-a00f-4299-9110-5398c9f9299b -image(log10.(hdudata .+ 1.0e-3); colormap = :viridis, axis = (; aspect = DataAspect())) +image( + log10.(hdudata .+ 1.0e-3); + colormap = :viridis, axis = (; aspect = DataAspect()) +) # ╔═╡ 11c76b80-5b82-4dcc-a3e3-a7354e7f1620 md""" @@ -336,6 +333,9 @@ md""" Note that rotating Stokes Q and I maps requires changing signs of both. Here we assume that the Stokes q and u maps were calculated defining the y/declination axis as vertical, such that Q is positive for polarization vectors along the x/right-ascention axis. """ +# ╔═╡ cd6261d4-7add-485c-96b1-90ddf2a7eb2d +bin_data(image, x_new, y_new, factor) = dropdims(sum(sum(reshape(image, x_new, factor[1], y_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) + # ╔═╡ 79e9de31-e607-420b-824f-aca14c546658 let fig = Figure() ax = Axis(fig[1, 1]; aspect = DataAspect()) @@ -353,10 +353,9 @@ let fig = Figure() y = range(1, size(convolved_image, 2), length = factor[2]) # bin the data - I_bin = dropdims(sum(sum(reshape(convolved_image, nx_new, factor[1], ny_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) - Q_bin = dropdims(sum(sum(reshape(convolved_image_q, nx_new, factor[1], ny_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) - U_bin = dropdims(sum(sum(reshape(convolved_image_u, nx_new, factor[1], ny_new, factor[2]), dims = 3), dims = 1), dims = (1, 3)) - # display(U_bin) + I_bin = bin_data(convolved_image, nx_new, ny_new, factor) + Q_bin = bin_data(convolved_image_q, nx_new, ny_new, factor) + U_bin = bin_data(convolved_image_u, nx_new, ny_new, factor) ψ = atan.(U_bin, Q_bin) / 2 # polarization angle frac = hypot.(Q_bin, U_bin) ./ I_bin # polarization fraction @@ -372,6 +371,8 @@ let fig = Figure() arrows2d!(ax, x, y, pixX, pixY) + Colorbar(fig[1, 2], i_plot) + fig end @@ -385,7 +386,6 @@ md""" ### Convert the units of the data from Jy/arcsec² to Jy/beam """ - # ╔═╡ 44e3a268-9514-46f3-958d-6e857ac1e8a0 md""" The intensity of the data is given in unit of Jy/arcsec^2. Observational data usually have the intensity unit in Jy/beam. Assuming a beam size or take the psf we created earlier, you can convert the data into Jy/beam. @@ -397,10 +397,25 @@ md""" """ # ╔═╡ b5a47b88-d4fb-410d-abc0-dff4c83e0229 -import PlutoUI +begin + using Pluto: frontmatter + import PlutoUI: TableOfContents +end + +# ╔═╡ a4986f88-05e2-4bad-b21b-f4b5c34ab59e +function keywords(kind = "note", title = "Keywords") + nb_path = split(@__FILE__, "#==#") |> first |> string + tags = (nb_path |> frontmatter)["tags"] + header = "!!! $kind \"$title\"" + body = join(("`$tag`" for tag in tags), " ") + return Markdown.parse("$header\n $body") +end + +# ╔═╡ 402be5f4-ff0e-4d16-aba2-16703daaa822 +keywords() # ╔═╡ f5144c9e-46e7-4eb7-9cc8-84f7c531fc76 -PlutoUI.TableOfContents() +TableOfContents() # ╔═╡ 00000000-0000-0000-0000-000000000001 PLUTO_PROJECT_TOML_CONTENTS = """ @@ -411,6 +426,7 @@ Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f" Downloads = "f43a241f-c20a-4ad4-852c-f6b1247861c6" FITSIO = "525bcba6-941b-5504-bd06-fd0dc1a4d2eb" PSFModels = "9ba017d1-7760-46cd-84a3-1e79e9ae9ddc" +Pluto = "c3e4b0f8-55cb-11ea-2926-15256bba5781" PlutoUI = "7f904dfe-b85e-4ff6-b463-dae2292396a8" SkyCoords = "fc659fc5-75a3-5475-a2ea-3da92c065361" Unitful = "1986cc42-f94f-5a68-af5c-568840ba703d" @@ -422,6 +438,7 @@ DSP = "~0.8.5" Distributions = "~0.25.125" FITSIO = "~0.17.5" PSFModels = "~0.8.2" +Pluto = "~1.0.3" PlutoUI = "~0.7.80" SkyCoords = "~1.7.0" Unitful = "~1.28.0" @@ -434,7 +451,7 @@ PLUTO_MANIFEST_TOML_CONTENTS = """ julia_version = "1.12.6" manifest_format = "2.0" -project_hash = "8504f3b9284f43b8de6269f1713c24b452e314e7" +project_hash = "bd8cb1bf69a92d067ec4707bbc7c4cd02a2f4a78" [[deps.ADTypes]] git-tree-sha1 = "bbc22a9a08a0ef6460041086d8a7b27940ed4ffd" @@ -577,6 +594,11 @@ git-tree-sha1 = "4435559dc39793d53a9e3d278e185e920b4619ef" uuid = "0e736298-9ec6-45e8-9647-e4fc86a2fe38" version = "0.2.8" +[[deps.BitFlags]] +git-tree-sha1 = "bbe1079eecf9c9fbb52765193ad2bae27ae09bc8" +uuid = "d1d4a3ce-64b1-5f1a-9ba4-7e7e69966f35" +version = "0.1.10" + [[deps.Bzip2_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] git-tree-sha1 = "1b96ea4a01afe0ea4090c5c8039690672dd13f2e" @@ -644,6 +666,12 @@ weakdeps = ["SparseArrays"] [deps.ChainRulesCore.extensions] ChainRulesCoreSparseArraysExt = "SparseArrays" +[[deps.CodecZlib]] +deps = ["TranscodingStreams", "Zlib_jll"] +git-tree-sha1 = "962834c22b66e32aa10f7611c08c8ca4e20749a9" +uuid = "944b1d66-785c-5afd-91f1-9de20f533193" +version = "0.7.8" + [[deps.CodecZstd]] deps = ["TranscodingStreams", "Zstd_jll"] git-tree-sha1 = "da54a6cd93c54950c15adf1d336cfd7d71f51a56" @@ -715,6 +743,18 @@ git-tree-sha1 = "3b4be73db165146d8a88e47924f464e55ab053cd" uuid = "95dc2771-c249-4cd0-9c9f-1f3b4330693c" version = "0.1.7" +[[deps.ConcurrentUtilities]] +deps = ["Serialization", "Sockets"] +git-tree-sha1 = "3c9be947934c38475bafe822c6d61aaed17f0738" +uuid = "f0e56b4a-5159-44fe-b623-3e5288b988bb" +version = "2.6.0" + +[[deps.Configurations]] +deps = ["ExproniconLite", "OrderedCollections", "TOML"] +git-tree-sha1 = "4358750bb58a3caefd5f37a4a0c5bfdbbf075252" +uuid = "5218b696-f38b-4ac9-8b61-a12ec717816d" +version = "0.17.6" + [[deps.ConstructionBase]] git-tree-sha1 = "b4b092499347b18a015186eae3042f72267106cb" uuid = "187b0558-2788-49d3-abe0-74a17ed4e7c9" @@ -897,12 +937,28 @@ git-tree-sha1 = "83231673ea4d3d6008ac74dc5079e77ab2209d8f" uuid = "429591f6-91af-11e9-00e2-59fbe8cec110" version = "2.2.9" +[[deps.ExceptionUnwrapping]] +deps = ["Test"] +git-tree-sha1 = "d36f682e590a83d63d1c7dbd287573764682d12a" +uuid = "460bff9d-24e4-43bc-9d9f-a8973cb893f4" +version = "0.1.11" + [[deps.Expat_jll]] deps = ["Artifacts", "JLLWrappers", "Libdl"] git-tree-sha1 = "8f05e9a2e7c2e3eb524102bb2926c5743c07fbe1" uuid = "2e619515-83b5-522b-bb60-26c02a35a201" version = "2.8.0+0" +[[deps.ExpressionExplorer]] +git-tree-sha1 = "5f1c005ed214356bbe41d442cc1ccd416e510b7e" +uuid = "21656369-7473-754a-2065-74616d696c43" +version = "1.1.4" + +[[deps.ExproniconLite]] +git-tree-sha1 = "c13f0b150373771b0fdc1713c97860f8df12e6c2" +uuid = "55351af7-c7e9-48d6-89ff-24e801d99491" +version = "0.10.14" + [[deps.Extents]] git-tree-sha1 = "b309b36a9e02fe7be71270dd8c0fd873625332b4" uuid = "411431e0-e8b7-467b-b5e0-f676ba4f2910" @@ -943,13 +999,11 @@ deps = ["Pkg", "Requires", "UUIDs"] git-tree-sha1 = "8e9c059d6857607253e837730dbf780b6b151acd" uuid = "5789e2e9-d7fb-5bc7-8068-2c6fae9b9549" version = "1.19.0" +weakdeps = ["HTTP"] [deps.FileIO.extensions] HTTPExt = "HTTP" - [deps.FileIO.weakdeps] - HTTP = "cd3eb016-35fb-5094-929b-558a96fad6f3" - [[deps.FilePaths]] deps = ["FilePathsBase", "MacroTools", "Reexport"] git-tree-sha1 = "a1b2fbfe98503f15b665ed45b3d149e5d8895e4c" @@ -1098,6 +1152,12 @@ git-tree-sha1 = "24f6def62397474a297bfcec22384101609142ed" uuid = "7746bdde-850d-59dc-9ae8-88ece973131d" version = "2.86.3+0" +[[deps.GracefulPkg]] +deps = ["Compat", "Pkg", "TOML"] +git-tree-sha1 = "a854d6c0e9fb561b88cd20b4ad64f518cb1bfb8d" +uuid = "828d9ff0-206c-6161-646e-6576656f7244" +version = "2.4.3" + [[deps.Graphics]] deps = ["Colors", "LinearAlgebra", "NaNMath"] git-tree-sha1 = "a641238db938fff9b2f60d08ed9030387daf428c" @@ -1121,6 +1181,12 @@ git-tree-sha1 = "53bb909d1151e57e2484c3d1b53e19552b887fb2" uuid = "42e2da0e-8278-4e71-bc24-59509adca0fe" version = "1.0.2" +[[deps.HTTP]] +deps = ["Base64", "CodecZlib", "ConcurrentUtilities", "Dates", "ExceptionUnwrapping", "Logging", "LoggingExtras", "MbedTLS", "NetworkOptions", "OpenSSL", "PrecompileTools", "Random", "SimpleBufferStream", "Sockets", "URIs", "UUIDs"] +git-tree-sha1 = "51059d23c8bb67911a2e6fd5130229113735fc7e" +uuid = "cd3eb016-35fb-5094-929b-558a96fad6f3" +version = "1.11.0" + [[deps.HarfBuzz_jll]] deps = ["Artifacts", "Cairo_jll", "Fontconfig_jll", "FreeType2_jll", "Glib_jll", "Graphite2_jll", "JLLWrappers", "Libdl", "Libffi_jll"] git-tree-sha1 = "f923f9a774fcf3f5cb761bfa43aeadd689714813" @@ -1357,11 +1423,25 @@ git-tree-sha1 = "eb62a3deb62fc6d8822c0c4bef73e4412419c5d8" uuid = "1d63c593-3942-5779-bab2-d838dc0a180e" version = "18.1.8+0" +[[deps.LRUCache]] +git-tree-sha1 = "5519b95a490ff5fe629c4a7aa3b3dfc9160498b3" +uuid = "8ac3fa9e-de4c-5943-b1dc-09c6b5f20637" +version = "1.6.2" +weakdeps = ["Serialization"] + + [deps.LRUCache.extensions] + SerializationExt = ["Serialization"] + [[deps.LaTeXStrings]] git-tree-sha1 = "dda21b8cbd6a6c40d9d02a73230f9d70fed6918c" uuid = "b964fa9f-0449-5b57-a5c2-d3ea65f4040f" version = "1.4.0" +[[deps.LazilyInitializedFields]] +git-tree-sha1 = "0f2da712350b020bc3957f269c9caad516383ee0" +uuid = "0e77f7df-68c5-4e49-93ce-4cd80f5598bf" +version = "1.3.0" + [[deps.LazyArtifacts]] deps = ["Artifacts", "Pkg"] uuid = "4af54fe1-eca0-43a8-85a7-787d91b784e3" @@ -1468,6 +1548,12 @@ version = "0.3.29" uuid = "56ddb016-857b-54e1-b83d-db4d58db5568" version = "1.11.0" +[[deps.LoggingExtras]] +deps = ["Dates", "Logging"] +git-tree-sha1 = "f00544d95982ea270145636c181ceda21c4e2575" +uuid = "e6f89c97-d47a-5376-807f-9c37f3926c36" +version = "1.2.0" + [[deps.MIMEs]] git-tree-sha1 = "c64d943587f7187e751162b3b84445bbbd79f691" uuid = "6c6e2e6c-3030-632d-7369-2d6c69616d65" @@ -1496,6 +1582,12 @@ version = "0.24.10" [deps.Makie.weakdeps] DynamicQuantities = "06fc5a27-2a28-4c7c-a15d-362465fb6821" +[[deps.Malt]] +deps = ["Distributed", "Logging", "RelocatableFolders", "Serialization", "Sockets"] +git-tree-sha1 = "c2335b4e291f2422e2be8abf8936ccad58a98992" +uuid = "36869731-bdee-424d-aa32-cab38c994e3b" +version = "1.4.1" + [[deps.MappedArrays]] git-tree-sha1 = "0ee4497a4e80dbd29c058fcee6493f5219556f40" uuid = "dbb5928d-eab1-5f90-85c2-b9b0edb7c900" @@ -1512,6 +1604,18 @@ git-tree-sha1 = "7eb8cdaa6f0e8081616367c10b31b9d9b34bb02a" uuid = "0a4f8689-d25c-4efe-a92b-7142dfc1aa53" version = "0.6.7" +[[deps.MbedTLS]] +deps = ["Dates", "MbedTLS_jll", "MozillaCACerts_jll", "NetworkOptions", "Random", "Sockets"] +git-tree-sha1 = "8785729fa736197687541f7053f6d8ab7fc44f92" +uuid = "739be429-bea8-5141-9913-cc70e7f3736d" +version = "1.1.10" + +[[deps.MbedTLS_jll]] +deps = ["Artifacts", "JLLWrappers", "Libdl"] +git-tree-sha1 = "ff69a2b1330bcb730b9ac1ab7dd680176f5896b8" +uuid = "c8ffd9c3-330d-5841-b78e-0817d7145fa1" +version = "2.28.1010+0" + [[deps.Missings]] deps = ["DataAPI"] git-tree-sha1 = "ec4f7fbeab05d7747bdf98eb74d130a2a2ed298d" @@ -1532,6 +1636,12 @@ version = "0.3.4" uuid = "14a3606d-f60d-562e-9121-12d972cd8159" version = "2025.11.4" +[[deps.MsgPack]] +deps = ["Serialization"] +git-tree-sha1 = "f5db02ae992c260e4826fe78c942954b48e1d9c2" +uuid = "99f44e22-a591-53d1-9472-aa23ef4bd671" +version = "1.2.1" + [[deps.MuladdMacro]] git-tree-sha1 = "cac9cc5499c25554cba55cd3c30543cff5ca4fab" uuid = "46d2c3a1-f734-5fdb-9937-b9b9aeba4221" @@ -1607,6 +1717,12 @@ deps = ["Artifacts", "Libdl"] uuid = "05823500-19ac-5b8b-9628-191a04bc5112" version = "0.8.7+0" +[[deps.OpenSSL]] +deps = ["BitFlags", "Dates", "MozillaCACerts_jll", "NetworkOptions", "OpenSSL_jll", "Sockets"] +git-tree-sha1 = "1d1aaa7d449b58415f97d2839c318b70ffb525a0" +uuid = "4d8831e6-92b7-49fb-bdf8-b643e874388c" +version = "1.6.1" + [[deps.OpenSSL_jll]] deps = ["Artifacts", "Libdl"] uuid = "458c3c95-2e84-50aa-8efc-19380b2a3a95" @@ -1719,6 +1835,18 @@ git-tree-sha1 = "26ca162858917496748aad52bb5d3be4d26a228a" uuid = "995b91a9-d308-5afd-9ec6-746e21dbc043" version = "1.4.4" +[[deps.Pluto]] +deps = ["Base64", "Configurations", "Dates", "Downloads", "ExpressionExplorer", "FileWatching", "GracefulPkg", "HTTP", "HypertextLiteral", "InteractiveUtils", "LRUCache", "Logging", "LoggingExtras", "MIMEs", "Malt", "Markdown", "MsgPack", "Pkg", "PlutoDependencyExplorer", "PrecompileSignatures", "PrecompileTools", "REPL", "Random", "RegistryInstances", "RelocatableFolders", "SHA", "Scratch", "Sockets", "TOML", "Tables", "URIs", "UUIDs"] +git-tree-sha1 = "fe7515cf6ddb62e738d924e4ca2dddaa60ff80ba" +uuid = "c3e4b0f8-55cb-11ea-2926-15256bba5781" +version = "1.0.3" + +[[deps.PlutoDependencyExplorer]] +deps = ["ExpressionExplorer", "InteractiveUtils", "Markdown"] +git-tree-sha1 = "c3e5073a977b1c58b2d55c1ec187c3737e64e6af" +uuid = "72656b73-756c-7461-726b-72656b6b696b" +version = "1.2.2" + [[deps.PlutoUI]] deps = ["AbstractPlutoDingetjes", "Base64", "ColorTypes", "Dates", "Downloads", "FixedPointNumbers", "Hyperscript", "HypertextLiteral", "IOCapture", "InteractiveUtils", "Logging", "MIMEs", "Markdown", "Random", "Reexport", "URIs", "UUIDs"] git-tree-sha1 = "fbc875044d82c113a9dee6fc14e16cf01fd48872" @@ -1756,6 +1884,11 @@ git-tree-sha1 = "17275485f373e6673f7e7f97051f703ed5b15b20" uuid = "85a6dd25-e78a-55b7-8502-1745935b8125" version = "0.2.4" +[[deps.PrecompileSignatures]] +git-tree-sha1 = "18ef344185f25ee9d51d80e179f8dad33dc48eb1" +uuid = "91cefc8d-f054-46dc-8f8c-26e11d7c5411" +version = "3.0.3" + [[deps.PrecompileTools]] deps = ["Preferences"] git-tree-sha1 = "07a921781cab75691315adc645096ed5e370cb77" @@ -1856,6 +1989,12 @@ git-tree-sha1 = "45e428421666073eab6f2da5c9d310d99bb12f9b" uuid = "189a3867-3050-52da-a836-e630ba90ab69" version = "1.2.2" +[[deps.RegistryInstances]] +deps = ["LazilyInitializedFields", "Pkg", "TOML", "Tar"] +git-tree-sha1 = "ffd19052caf598b8653b99404058fce14828be51" +uuid = "2792f1a3-b283-48e8-9a74-f99dce5104f3" +version = "0.1.0" + [[deps.RelocatableFolders]] deps = ["SHA", "Scratch"] git-tree-sha1 = "ffdaf70d81cf6ff22c2b6e733c900c3321cab864" @@ -1944,6 +2083,11 @@ git-tree-sha1 = "3949ad92e1c9d2ff0cd4a1317d5ecbba682f4b92" uuid = "73760f76-fbc4-59ce-8f25-708e95d2df96" version = "0.4.1" +[[deps.SimpleBufferStream]] +git-tree-sha1 = "f305871d2f381d21527c770d4788c06c097c9bc1" +uuid = "777ac1f9-54b0-4bf8-805c-2214025038e7" +version = "1.2.0" + [[deps.SimpleTraits]] deps = ["InteractiveUtils", "MacroTools"] git-tree-sha1 = "be8eeac05ec97d379347584fa9fe2f5f76795bcb" @@ -2400,7 +2544,7 @@ version = "4.1.0+0" # ╟─f62ff3ee-616a-11ef-1dbc-ed0b7632e565 # ╟─9f351dcb-d673-41e9-9bd4-2b6aa370668b # ╟─be0efdf1-eb53-4cc3-adc5-29da71659da4 -# ╟─056f460f-31e0-407c-99c9-8ade5ff318c6 +# ╟─402be5f4-ff0e-4d16-aba2-16703daaa822 # ╠═9d8e8bbc-c6d7-4646-8660-62c4d42dcc34 # ╟─cfd34de0-4e20-4e33-ab09-97c0c275d787 # ╟─41474fbb-cf99-4b06-b054-54ad38e7c8f0 @@ -2469,11 +2613,13 @@ version = "4.1.0+0" # ╠═f4f4b625-e86f-4cf9-8c36-9479f29539e2 # ╟─e6971a8b-d017-4719-bb32-9dd9446d47cd # ╟─f53e13f0-ce9b-44ac-9643-e02e33bf8429 +# ╠═cd6261d4-7add-485c-96b1-90ddf2a7eb2d # ╠═79e9de31-e607-420b-824f-aca14c546658 # ╟─8e4d50d5-b081-4fc4-a320-6a0370456c1d # ╟─9a1f1c93-f723-4b05-af74-cfeded1f0c46 # ╟─44e3a268-9514-46f3-958d-6e857ac1e8a0 # ╟─303886dd-2072-4fce-847d-44c927dded66 +# ╟─a4986f88-05e2-4bad-b21b-f4b5c34ab59e # ╠═b5a47b88-d4fb-410d-abc0-dff4c83e0229 # ╠═f5144c9e-46e7-4eb7-9cc8-84f7c531fc76 # ╟─00000000-0000-0000-0000-000000000001