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[PRE REVIEW]: Shear Mapping in Python (SMPy): Modular, Extensible, and Accessible Dark Matter Mapping #8202
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Hi @GeorgeVassilakis! Thanks for your (re)submission and sorry again for the delay in starting the submission process following the Easter break and backlog. I appreciate that you've taken on board the remarks from the previous submission of SMPy and have substantially extended the code, so I don't see a need for a new scope review (though an editor or reviewers may argue for one later). All the suitable JOSS editors are currently working at capacity so I'm going to "waitlist" this review until an editor with the relevant expertise is available to take it on. With our current backlog, note that this might take 3-4 months. Thanks for your patience! In the meantime, I think a major point in the review will be the documentation. Though a single We vastly prefer (and usually get) Python projects that deploy documentation to GitHub/GitLab pages or Read the Docs via a documentation system like Sphinx or MkDocs. It'd be great if you could set this up while we wait for an editor. I'd also suggest you rather demonstrate the use of the package by comparing convergence maps with all the available methods, rather than just the KS inversion. Having multiple methods is an additional feature of SMPy, beyond just getting the inversion in the first place. (Note also that the first few sentences of the README still imply the KS inversion is the only method available.) Finally, as a detail in the paper itself, note that you can group citations together by replacing e.g. |
Good evening @warrickball, thank you kindly for the initial pass-through review. I totally understand the timeframe, and it is no worry to me! I've been meaning to update and upgrade the documentation for some time, and I love the idea of creating a Read the Docs-type website. I'll be sure to address this and your other comments well before the editor comes along. Thanks again for your time! |
Submitting author: @GeorgeVassilakis (Georgios N. Vassilakis)
Repository: https://github.com/GeorgeVassilakis/SMPy
Branch with paper.md (empty if default branch):
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Warrick Ball
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