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[PRE REVIEW]: reflectorch: a deep learning package for X-ray and neutron reflectometry #7089
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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:
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Five most similar historical JOSS papers: xrdfit: A Python package for fitting synchrotron X-ray diffraction spectra Reel1.0 - A visualization tool for evaluating powder diffraction refinements xtal2png: A Python package for representing crystal structure as PNG files islatu: A Python package for the reduction of reflectometry data Lightshow: a Python package for generating computational x-ray absorption spectroscopy input files |
@editorialbot invite @likeajumprope as editor 👋 @likeajumprope this sounds like one you may wish to edit. Can you take this one on? |
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Just following back up on this one @likeajumprope ...
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Ah sure - apologies I have been on summer leave |
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Assigned! @likeajumprope is now the editor |
No problem @likeajumprope and thank you!! |
Hi @GarrettMerz - based on your expertise, would you be willing to take on this paper for JOSS? |
Hi @Saran-nns - based on your expertise, would you be willing to take on this paper for JOSS? |
@likeajumprope let me know if you would like my help in trying to get some reviewers set up for this submission. |
that would be fantastic @crvernon I have been struggling with this one |
Hi @likeajumprope Sorry for the delay. I'm quite occupied with deadlines for next 4 months. Thanks for understanding 🙏🏽 |
👋 @tacaswell - Would you be willing to review this submission to JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
👋 @turnerjennings - Would you be willing to review this submission to JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
👋 @rachitanaik-lyft - Would you be willing to review this submission to JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
@crvernon Happy to review this submission! This is my first review with JOSS so bear with me while I figure out the format. |
@editorialbot add @turnerjennings as reviewer Thanks and no problem at all! Once I get one more reviewer assigned, @likeajumprope or I will start the formal review thread and provide instructions there. |
@turnerjennings added to the reviewers list! |
Hi @crvernon! I don't have domain knowledge about X-ray and neutron reflectometry - is that a requirement? |
👋 @rachitanaik-lyft - not in this case, I chose you because I believe you have a good understanding of the processes underlying these types of packages with respect to deep learning. Does that sound OK? If so, I will add you as a reviewer. |
I am not able to review right now, but nominate my co-worker @thomashopkins32 in my place. |
@editorialbot add @thomashopkins32 as reviewer |
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@editorialbot add @rachitanaik-lyft as reviewer |
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@editorialbot start review 👋 Thank you for volunteering to review @turnerjennings, @thomashopkins32, and @rachitanaik-lyft ! I'll kick off the review thread now which will give you instructions for how to generate your review checklist, etc. (cc: @likeajumprope) |
OK, I've started the review over in #8169. |
Submitting author: @valentinsingularity (Valentin Munteanu)
Repository: https://github.com/schreiber-lab/reflectorch
Branch with paper.md (empty if default branch):
Version: v1.2.1
Editor: @likeajumprope
Reviewers: @turnerjennings, @thomashopkins32, @rachitanaik-lyft
Managing EiC: Chris Vernon
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