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

[editorialbot]

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

Status

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

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[editorialbot]

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]

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
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Python                          20            475            910           1592
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Markdown                         2             73              0            149
YAML                             6             11             21            149
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DOS Batch                        1              8              1             26
JSON                             1              0              0             23
make                             1              4              7              9
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SUM:                            41            614           9988           2653
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Commit count by author:

    15	Trey Wenger

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 291

✅ The paper includes a Statement of need section

[editorialbot]

License info:

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

[dfm]

@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]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[tvwenger]

larryshamalama would be an excellent referee, I think!

[tvwenger]

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]

@editorialbot assign @ivastar as editor

[editorialbot]

Assigned! @ivastar is now the editor

[ivastar]

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]

@editorialbot add @ConorMacBride as reviewer

[editorialbot]

@ConorMacBride added to the reviewers list!

[ivastar]

@editorialbot add @larryshamalama as reviewer

[ivastar]

@editorialbot add @kbwestfall as reviewer

[editorialbot]

@kbwestfall added to the reviewers list!

[ivastar]

@editorialbot add @larryshamalama as reviewer

[editorialbot]

@larryshamalama added to the reviewers list!

[ivastar]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7201.