Submitting author: @s-goldman (Steve Goldman)
Repository: https://github.com/s-goldman/Dusty-Evolved-Star-Kit
Version: v1.7.0
Editor: @arfon
Reviewer: @Deech08, @TomGoffrey
Archive: 10.5281/zenodo.4064241
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @Deech08, @TomGoffrey it looks like you're currently assigned to review this paper :tada:.
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Reference check summary:
OK DOIs
- 10.1046/j.1365-8711.2001.04706.x is OK
- 10.1086/367818 is OK
- 10.1088/0004-637X/716/1/878 is OK
- 10.1051/0004-6361/201117033 is OK
- 10.1093/mnras/stw2708 is OK
- 10.1093/mnras/stz1255 is OK
MISSING DOIs
- None
INVALID DOIs
- None
@Deech08, @TomGoffrey - please carry out your review in this issue by updating the checklist above and giving feedback in this issue. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html
Any questions/concerns please let me know.
Some comments from my first quick run through you might want to consider:
LICENSE file.--source='target_name.csv' in the docs. Could such a csv file be include?CONTRIBUTING.rst there's a suggestion to use flake8 to check the code, but a cursory check of a few files suggests the code isn't fully PEP8 compliant. I've not used flake8 so perhaps I have miss understood something.@TomGoffrey Thanks for the comments, and so quickly.
desk fit runs the code using the 3 examples sources in the put_target_data_here directory.All really helpful comments, and I look forward to more. Thanks Tom.
Edit: Completed in pull request 144
Thanks @s-goldman. For some reason I didn't think to look in put_target_data_here, hopefully I'll have time to start running the code tomorrow.
For collected minor comments like the above I'll just post them here. If I think it's more major/will require extended discussion I'll open up issues. Hope that works for you.
Oh, @Deech08, I forgot to say earlier, best of luck with your defence!
Looking at the paper I have a couple of general comments:
Sorry this review is a little drip fed, a necessity of time constraints unfortunately.
@Deech08, @TomGoffrey - please carry out your review in this issue by updating the checklist above and giving feedback in this issue. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html
Any questions/concerns please let me know.
@arfon I'm having trouble getting "edit" access to the checklist. The link to accept the invitation seemed to have expired on my end (sorry I didn't get around to doing that sooner).
@TomGoffrey This works fine for me. Thanks for the feedback so far. @Deech08 I hope the defense went well!
@whedon re-invite @Deech08 as reviewer
OK, the reviewer has been re-invited.
@deech08 please accept the invite by clicking this link: https://github.com/openjournals/joss-reviews/invitations
@arfon I'm having trouble getting "edit" access to the checklist. The link to accept the invitation seemed to have expired on my end (sorry I didn't get around to doing that sooner).
No problem. These unfortunately expire these days but you should be able to accept the invite again now โ๏ธ
@s-goldman Could I also check if desk has been used in any previous publications? If so, these should be listed as per the guidance on paper contents, and would obviously strengthen the statement of need.
If it hasn't been used, that's certainly not a problem, but some discussion of how this work fits in with the wider context would be helpful. For example, are there large data sets that could be handled by desk?
@s-goldman Could I also check if desk has been used in any previous publications? If so, these should be listed as per the guidance on paper contents, and would obviously strengthen the statement of need.
The method has been used in each of my previous first author publications and Orosz et al. 2017, but not mentioned explicitly by name. It was also mentioned in Nanni et al. 2019, but results from the code were not used. I'm not sure if these count?
If it hasn't been used, that's certainly not a problem, but some discussion of how this work fits in with the wider context would be helpful. For example, are there large data sets that could be handled by desk?
I have used the package on sets of tens of thousands of sources detected with the PHAT survey. In theory you could fit as many sources as you want. This will be huge with the launch of the James Webb Space Telescope, when we have a flood of new IR data. As these stars are also variable, the LSST will also identify large samples of evolved stars.
Looking at the paper I have a couple of general comments:
- I think you should list all the available grids, with the appropriate citations, as you've done on in the online documentation. A table format might be appropriate (name, size, description + citation)?
- The included figures would be a lot more useful if you included a description of what they are and how they were generated using desk. I think the latter is already included in the online documentation also.
Sorry this review is a little drip fed, a necessity of time constraints unfortunately.
Thanks for these suggestions. I have added a more descriptive figure caption and a table with the grid parameters. The Markdown table format wouldn't fit, so the table is added as a png, and the latex files used to create the figure are now in the paper directory.
@s-goldman - looking at the cross-linked issues above, it seems like you've had a bunch more feedback. How are you getting along with your responses to these?
@arfon Thank you for pointing this out. I wasn't getting notifications for the new issues, but I've changed that. I'll get right on these issues.
@s-goldman - a minor comment on your paper: The last sentence states its easy to create and add model grids, but it doesn't seem like this is a current feature, but rather something that you plan to implement in the future. It may be best to state that more clearly.
Other than the last couple minor issues I opened, i think you've addressed most of my other concerns. I'll check through all the latest code/docs in the next few days and should be finished with my review then!
@s-goldman - a minor comment on your paper: The last sentence states its easy to create and add model grids, but it doesn't seem like this is a current feature, but rather something that you plan to implement in the future. It may be best to state that more clearly.
Other than the last couple minor issues I opened, i think you've addressed most of my other concerns. I'll check through all the latest code/docs in the next few days and should be finished with my review then!
Fixed in Issue #164
All other issues opened for the JOSS review (up-to-this-point) have been addressed.
@arfon - Everything looks to be in good working order from my checks and @s-goldman handled all the issues I raised. I'm happy with the state of things currently so it's all good to go for me unless other major changes come up from @TomGoffrey
Thanks @Deech08! @TomGoffrey - how are you getting on closing out your review?
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@arfon Apologies, I'd taken some time off before the start of term. I think we should be able to get this completed in a day or so.
@s-goldman Which branch should I be using to generate the latest version of the paper?
@TomGoffrey The paper.md file on the main branch is now the most up-to-date.
Thanks, in case it's useful in future:
@whedon generate pdf from branch origin/<some_branch_name>
generates the paper from a given branch.
I'll take a look tomorrow.
@TomGoffrey Good to know, thanks.
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
I've raised a few issues I came across whilst looking through this.
Other than that my only other comment is to come back to the discussion of citing previous use. In your readme you state:
The method used is similar to that of [Goldman et al. 2017]...
The docs for JOSS ("What should my paper contain?") state:
Mention (if applicable) a representative set of past or ongoing research projects using the software and recent scholarly publications enabled by it.
My understanding is that Goldman et al. 2017 used an early version of the code, but that's not stated in the paper, so you may wish to include a comment to that effect.
@TomGoffrey Thanks for the issues and for really testing the limits of the code. I'll try to have these done soon.
I was a little unsure on how to phrase how the code was previously used, and was hoping you might give some guidance on it, so thank you. I will add that an earlier version of the code has been used in Orosz et al. 2017 & Goldman et al. 2017, 2018, 2019a, 2019b, and cited in Nanni et al. 2019.
No worries. I think something along the lines of
Early versions of this package have been used in X, Y, Z
should be fine.
I'm still trying to work out if the OrderedDict error is specific to my set-up, or a python3.6 vs python3.7 issue. I know there were changes to Dict vs OrderedDict between those two versions, but I'm not aware of those changes causing such an issue.
I'm still trying to work out if the OrderedDict error is specific to my set-up, or a python3.6 vs python3.7 issue. I know there were changes to Dict vs OrderedDict between those two versions, but I'm not aware of those changes causing such an issue.
@TomGoffrey I appreciate that, i'll try to see if I can reproduce the error on my end.
The paper has been updated in commit 22b6033.
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
OK, so my last remaining point is a question over the references in the table. I think these ought to be in the references for the paper, but they're missing.
I'm guessing this is related to the fact you've had to include an image of the table rather than include it directly as markdown. Could I clarify what the issue with the markdown for the table was? Did it just not fit on the page?
@TomGoffrey Yes, I tried to use a markdown table but it didn't really fit and I wasn't quite satisfied. Here is an
example of what that looked like.
I am very open to reformatting the table however you Dhanesh, and Arfon think works the best. Regardless, I have added the references that I missed, reformatted the table to make it more readable, and made some small edits to the paper to improve the flow in PR 176
@whedon generate pdf
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
That new table looks good to me.
@arfon My review is complete, happy to recommend publication.
This all looks good to me as well!
Thank you both for digging through the code and for all of the helpful suggestions!
@s-goldman - At this point could you make a new release of this software that includes the changes that have resulted from this review. Then, please make an archive of the software in Zenodo/figshare/other service and update this thread with the DOI of the archive? For the Zenodo/figshare archive, please make sure that:
I can then move forward with accepting the submission.
@arfon Zenodo link
@whedon generate pdf
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
@whedon set 10.5281/zenodo.4064241 as archive
OK. 10.5281/zenodo.4064241 is the archive.
@whedon accept
Attempting dry run of processing paper acceptance...
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1093/mnras/stw222 is OK
- 10.1086/303597 is OK
- 10.1046/j.1365-8711.2001.04706.x is OK
- 10.3847/1538-3881/153/3/119 is OK
- 10.1086/367818 is OK
- 10.1088/0004-637X/716/1/878 is OK
- 10.1088/0004-637X/716/1/878 is OK
- 10.1051/0004-6361/201117033 is OK
- 10.1093/mnras/stw2708 is OK
- 10.1093/mnras/stx2601 is OK
- 10.3847/1538-4357/ab418a is OK
- 10.1093/mnras/stz1255 is OK
- 10.1093/mnras/282.4.1321 is OK
MISSING DOIs
- None
INVALID DOIs
- None
:wave: @openjournals/joss-eics, this paper is ready to be accepted and published.
Check final proof :point_right: https://github.com/openjournals/joss-papers/pull/1777
If the paper PDF and Crossref deposit XML look good in https://github.com/openjournals/joss-papers/pull/1777, then you can now move forward with accepting the submission by compiling again with the flag deposit=true e.g.
@whedon accept deposit=true
@whedon accept deposit=true
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@Deech08, @TomGoffrey - many thanks for your reviews here โจ
@s-goldman - your paper is now accepted into JOSS :zap::rocket::boom:
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