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Documentation updates #1085

Merged
merged 52 commits into from
Jan 13, 2025
Merged

Documentation updates #1085

merged 52 commits into from
Jan 13, 2025

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mschwamb
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@mschwamb mschwamb commented Jan 3, 2025 •
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Fixes #974
Fixes #1065
Fixes #966

Documentation updates to make a complete documentation

@mschwamb
example notebook updates
155788e 
- update apparent mag notebook by running it with an install of numpy 2.0 to quit the errors in the online generation
- update lightcurve notebook so that the url to add-ons shows (pandoc generation changed the parsing)
- remove the confusing notebooks for developing scripts to run multiple runs
@mschwamb
add in instruction to install add-ons package to compile the docs
f08c8ce 
add in instruction to install add-ons package to compile the docs
@mschwamb mschwamb changed the title Meg doc updates Documentation updates Jan 3, 2025
mschwamb added 20 commits January 3, 2025 14:54
@mschwamb
doc updates
80e0435 
address sqlite error when running multiple versions at the same time
@mschwamb
documentation updates
0894e74 
documentation updates
@mschwamb
documentation updates
aa6268e 
documentation updates
@mschwamb
documentation updates
faa2d18 
documentation updates
@mschwamb
documentation updates
610b448 
documentation updates
@mschwamb
documentation updates
bcb7bed
@mschwamb
doc updates
4ef630f 
doc updates
@mschwamb
documentation updates
22003a1 
documentation updates
@mschwamb
update docs
9aa06d2 
update docs
@mschwamb
update docs
682d76c 
add in color notebook so it generates links - start comet activity notebook
@mschwamb
add a reminder about the colors demo notebook
10c0438 
add a reminder about the colors demo notebook
@mschwamb
Update demo_Cometary_Activity.ipynb
0b391cc 
Add complete demo for cometary activity
@mschwamb
updated cometary activity notebook
96e00bb 
updated cometary activity notebook
@mschwamb
make cometary activity notebook
0d701f2 
make cometary activity notebook
@mschwamb
Update demo_Cometary_Activity.ipynb
5ffb5c6
@mschwamb
add comet activity notebook
1bb5754
@mschwamb
update docs
26361b2 
update docs
@mschwamb
Update notebooks.rst
9321d5d
@mschwamb
update presentation of sorcha in docs
6f111a5 
``sorcha`` or sorcha/Sorcha --> ``Sorcha``
@mschwamb
doc updates
331c75c 
doc updates
mkelley
mkelley reviewed Jan 9, 2025
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Looks good. I've mainly commented on spelling and grammar. Maybe also put in a comment that LSSTCometActivity assumes an aperture radius of 1".

docs/notebooks/demo_Cometary_Activity.ipynb
"id": "c6a7190d",
"metadata": {},
"source": [
"The goal of this notebook is to demonstrate the apply cometary activity within `Sorcha`.\n",
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Something is wrong with this sentence.

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Thanks!

docs/notebooks/demo_Cometary_Activity.ipynb Outdated
"\n",
"We will use the community tools part of the `Sorcha-addons`(https://github.com/dirac-institute/sorcha-addons) package\n",
"\n",
"The idea is that the user can, in principle, implement their own method for cometary activity, and incorporate them in their simulation. The goal of `Sorcha-addons` is for both the development team, as well as for the community, to share their implementations of custom coemtary activity models. "
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"and incorporate [it] in their simulation."

"custom [cometary] activity models."

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thanks!

docs/notebooks/demo_Cometary_Activity.ipynb Outdated
"id": "191c5e0f",
"metadata": {},
"source": [
"Now we calculate the magnitude of the nuceleus assuming no phase curve model in PPCalculateApparentMagnitudeInFilter."
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nuceleus --> nucleus

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thanks!

docs/notebooks/demo_Cometary_Activity.ipynb Outdated
"\n",
"Let's use the LSSTCometActivity class from `sorcha_addons`. We need the following columns in our dataframe:\n",
"\n",
" * ``afrho1\"`` = V-band Afρ value of the comet at 1 au\n",
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Is this supposed to be formatted as a code block? Regardless, the units on Afρ (cm in this case) should be stated here or somewhere near here.

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done

docs/notebooks/demo_Cometary_Activity.ipynb Outdated
"outputs": [
{
"data": {
"image/png": 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nucelus --> nucleus

"observed to [be] much brighter"

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thanks!

mschwamb added 21 commits January 11, 2025 13:01
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Update hpc.rst
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update hpc files
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update hpc files
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minor clarifications in docs
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updates to post-processing section
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updates to post-processing section
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Update postprocessing.rst
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update post-processing documentation
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Update postprocessing.rst
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Update postprocessing.rst
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Update postprocessing.rst
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post-processing updates in the docs
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updating fading function section and other updates on post-processing and update trailing effects section
@mschwamb mschwamb requested a review from Little-Ryugu January 13, 2025 09:29
@mschwamb mschwamb marked this pull request as ready for review January 13, 2025 09:29
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I've still got some work to do on cleaning up the getting started and post-processing page and other things here and there, but the bulk of the docs is complete at this point so it would be good to get it merged and deal with the remaining bits in PRs and allow people to proof read and correct typos and things that need clarity. @Little-Ryugu so all you need to do is check the docs pass and look generally okay (published on read the docs - click on the very last test (scroll down) and you click it to see a draft version on read the docs

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Little-Ryugu approved these changes Jan 13, 2025
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There seems like a notebook generation.

@Little-Ryugu Little-Ryugu merged commit 9e4594b into main Jan 13, 2025
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@Little-Ryugu Little-Ryugu deleted the meg_doc_updates branch January 13, 2025 15:47
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@Little-Ryugu Little-Ryugu Little-Ryugu approved these changes

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