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[PRE REVIEW]: bayes_spec: A Bayesian Spectral Line Modeling Framework for Astrophysics #7112

Closed editorialbot closed 5 days ago

editorialbot commented 3 weeks ago

Submitting author: !--author-handle-->@tvwenger<!--end-author-handle-- (Trey Wenger) Repository: https://github.com/tvwenger/bayes_spec Branch with paper.md (empty if default branch): Version: v1.5.0 Editor: !--editor-->@ivastar<!--end-editor-- Reviewers: @ConorMacBride, @kbwestfall, @larryshamalama Managing EiC: Dan Foreman-Mackey

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Markdown: [![status](https://joss.theoj.org/papers/ac05a353639c3268883cae19ca6a9cf9/status.svg)](https://joss.theoj.org/papers/ac05a353639c3268883cae19ca6a9cf9)

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Thanks for submitting your paper to JOSS @tvwenger. Currently, there isn't a JOSS editor assigned to your paper.

@tvwenger if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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editorialbot commented 3 weeks ago

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editorialbot commented 3 weeks ago
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.3847/1538-4357/ac2f42 is OK
- 10.7717/peerj-cs.1516 is OK

MISSING DOIs

- None

INVALID DOIs

- None
editorialbot commented 3 weeks ago

Software report:

github.com/AlDanial/cloc v 1.90  T=0.05 s (766.7 files/s, 247863.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          20            475            910           1592
Jupyter Notebook                 4              0           8986            604
Markdown                         2             73              0            149
YAML                             6             11             21            149
reStructuredText                 4             37             63             41
TOML                             1              5              0             32
TeX                              1              1              0             28
DOS Batch                        1              8              1             26
JSON                             1              0              0             23
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                            41            614           9988           2653
-------------------------------------------------------------------------------

Commit count by author:

    15  Trey Wenger
editorialbot commented 3 weeks ago

Paper file info:

📄 Wordcount for paper.md is 291

✅ The paper includes a Statement of need section

editorialbot commented 3 weeks ago

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

dfm commented 3 weeks ago

@tvwenger — Thanks for your submission! 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. Thanks for your patience!

editorialbot commented 3 weeks ago

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

editorialbot commented 3 weeks ago

Five most similar historical JOSS papers:

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pyradiosky: A Python package for Radio Sky Models Submitting author: @bhazelton Handling editor: @xuanxu (Active) Reviewers: @pritchardn, @0xCoto Similarity score: 0.7065

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

tvwenger commented 3 weeks ago

larryshamalama would be an excellent referee, I think!

tvwenger commented 2 weeks ago

For the future editor: I am aware that JOSS has substantial "scholarly effort" criteria, and that the age of this repository might suggest that it does not meet these criteria. I wanted to give a bit of context for the project to justify its significant scholarly effort.

bayes_spec has been developed over the past ~18 months, originally forming the foundation of a specific model: https://github.com/tvwenger/amoeba2

Given the general-use applicability of this Bayesian spectral modeling framework, the core framework from amoeba2 was split into bayes_spec so that it could be extended to any user-specified model.

There are now several models implemented in the bayes_spec framework, and the applications of each are being prepared for astronomy journals. https://github.com/tvwenger/bayes_cn_hfs https://github.com/tvwenger/amoeba2 https://github.com/tvwenger/bayes_yplus https://github.com/tvwenger/caribou_hi

It would be great to be able to point to the JOSS paper for bayes_spec in each of these astronomy papers!

ivastar commented 2 weeks ago

@editorialbot assign @ivastar as editor

editorialbot commented 2 weeks ago

Assigned! @ivastar is now the editor

ivastar commented 2 weeks ago

Hi @tvwenger! I will be the editor for this submission. I will be looking for reviewers in the next week or so. Thank you for the suggestion above!

ivastar commented 5 days ago

@editorialbot add @ConorMacBride as reviewer

editorialbot commented 5 days ago

@ConorMacBride added to the reviewers list!

ivastar commented 5 days ago

@editorialbot add @larryshamalama as reviewer

ivastar commented 5 days ago

@editorialbot add @kbwestfall as reviewer

editorialbot commented 5 days ago

@kbwestfall added to the reviewers list!

ivastar commented 5 days ago

@editorialbot add @larryshamalama as reviewer

editorialbot commented 5 days ago

@larryshamalama added to the reviewers list!

ivastar commented 5 days ago

@editorialbot start review

editorialbot commented 5 days ago

OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/7201.