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[PRE REVIEW]: EMRI_MC: A GPU-based code for Bayesian inference of EMRI waveforms #6285
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Couldn't check the bibtex because branch name is incorrect: paper.md |
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Couldn't check the bibtex because branch name is incorrect: paper.md |
@editorialbot set main as branch |
Done! branch is now main |
@editorialbot check repository |
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@editorialbot generate pdf |
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Five most similar historical JOSS papers: GRChombo: An adaptable numerical relativity code for fundamental physics emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC swyft: Truncated Marginal Neural Ratio Estimation in Python emg3d: A multigrid solver for 3D electromagnetic diffusion iharm3D: Vectorized General Relativistic Magnetohydrodynamics |
@editorialbot query scope @ippocratiss — Thanks for your submission! Given the limited size and history of the code base, and the limited documentation, packaging, and testing, 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. Thanks for your patience! |
Submission flagged for editorial review. |
@editorialbot reject @ippocratiss — Apologies, I actually misspoke above. Given that this submission includes fewer than 300 lines of code, it is JOSS policy to desk reject such a minor submission. This is not a judgement on the scientific merit of the software, but such a submission is not considered within scope of the journal. Please feel free to consider a re-submission if the code reaches a more mature state. |
Paper rejected. |
Submitting author: @ippocratiss/ (Ippocratis Saltas)
Repository: https://github.com/ippocratiss/EMRI_MC
Branch with paper.md (empty if default branch): main
Version: v1.0
Editor: Pending
Reviewers: Pending
Managing EiC: Dan Foreman-Mackey
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