New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[PRE REVIEW]: NEoST: A Python package for nested sampling of the neutron star equation of state #5860
Comments
Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
|
|
Wordcount for |
|
@editorialbot query scope @drannawatts — Thanks for your submission! Given the short development history of the code, I have submitted this pre-review for editorial review. This usually takes a week or two and I'll report back here as soon as I hear back from the rest of the editorial board. |
Submission flagged for editorial review. |
The code has actually existed and been developed in private repositories for much longer (we've been using it in analysis and publications since 2019). We moved the whole thing over to a new public repository with a clean history specifically because we wanted to finally make it public. |
I just double checked the old private 'preneost' github repository - commit history there dates back to 2020. Happy to provide proof of this if required! |
@editorialbot assign @adonath as editor |
Assigned! @adonath is now the editor |
Thanks @drannawatts! I'm happy to edit the submission. In case you have suggestions for reviewers please let me know. Just mention their names without tagging (using |
Great, thanks @adonath ! Possible reviewers might include the authors of this paper: https://ui.adsabs.harvard.edu/abs/2023arXiv230401035A/abstract |
@editorialbot generate pdf |
Five most similar historical JOSS papers: UltraNest - a robust, general purpose Bayesian inference engine The Dusty Evolved Star Kit (DESK): A Python package for fitting the Spectral Energy Distribution of Evolved Stars nestcheck: error analysis, diagnostic tests and plots for nested sampling calculations SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals ExoTETHyS: Tools for Exoplanetary Transits around host stars |
@editorialbot add @ziatdinovmax as reviewer |
@ziatdinovmax added to the reviewers list! |
@editorialbot add @chaitanyaafle as reviewer |
@chaitanyaafle added to the reviewers list! |
@editorialbot start review |
OK, I've started the review over in #6003. |
Submitting author: @drannawatts (Anna Watts)
Repository: https://github.com/xpsi-group/neost
Branch with paper.md (empty if default branch):
Version: v0.9.1
Editor: @adonath
Reviewers: @ziatdinovmax, @chaitanyaafle
Managing EiC: Dan Foreman-Mackey
Status
Status badge code:
Author instructions
Thanks for submitting your paper to JOSS @drannawatts. Currently, there isn't a JOSS editor assigned to your paper.
@drannawatts 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.
Editor instructions
The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:
The text was updated successfully, but these errors were encountered: