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GREOPy: A General Relativistic Emitter-Observer problem Python algorithm #227

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irideselby opened this issue Dec 21, 2024 · 0 comments
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irideselby commented Dec 21, 2024

Submitting Author: Jan P. Hackstein (@irideselby)
All current maintainers: (@irideselby)
Package Name: GREOPy
One-Line Description of Package: Calculate relativistic light rays sent by an emitter to a receiver in the presence of a gravitational field.
Repository Link: https://codeberg.org/JPHackstein/GREOPy
Version submitted: v0.2.0
EiC: TBD
Editor: TBD
Reviewer 1: TBD
Reviewer 2: TBD
Archive: https://zenodo.org/records/14537866
JOSS DOI: TBD
Version accepted: TBD
Date accepted (month/day/year): TBD


Code of Conduct & Commitment to Maintain Package

Description

GREOPy is a Python library for calculating relativistic light rays sent by an emitter to a receiver in the presence of a gravitational field. Finding a light ray connecting two events is sometimes called "Emitter-Observer" problem and is always present when it comes to communication between two observers, e.g. two satellites in orbit. GREOPy allows the emitter and receiver to move along arbitrary curves, making this an initial-value problem to solve from the emitter's perspective, and the gravitational field can be described by a rotating, non-accelerating central mass. Everything is being calculated in the general relativistic framework to include relativistic effects like light bending and the relativistic Doppler effect to be able to quantify their impact on error propagation. While only two spacetimes are implemented at the moment (even though further additions are planned), GREOPy is written in a way to allow the community to easily expand the number of spacetimes to suit their needs.

Scope

  • Please indicate which category or categories.
    Check out our package scope page to learn more about our
    scope. (If you are unsure of which category you fit, we suggest you make a pre-submission inquiry):

    • Data retrieval
    • Data extraction
    • Data processing/munging
    • Data deposition
    • Data validation and testing
    • Data visualization1
    • Workflow automation
    • Citation management and bibliometrics
    • Scientific software wrappers
    • Database interoperability

Domain Specific

  • Geospatial
  • Education

Community Partnerships

If your package is associated with an
existing community please check below:

  • For all submissions, explain how and why the package falls under the categories you indicated above. In your explanation, please address the following points (briefly, 1-2 sentences for each):

Data processing/munging: GREOPy uses parametrised curves, e.g. orbit data, to simulate communication via relativistic light rays between them. This allows analysis of relativistic effects on light and by extension any corresponding observable in some chosen spacetime, giving insights into fundamental properties of the underlying spacetime.

  • Who is the target audience and what are scientific applications of this package?

This package is mainly targeted for scientists working in geodesy; it can be used to simulate satellite-satellite or satellite-ground station communication and from this derive, e.g. how the Earth mass distribution changes over time due to for example climate change.

  • Are there other Python packages that accomplish the same thing? If so, how does yours differ?

Not the same thing. There exist of course Python packages that implement General Relativity, e.g. to be able to calculate light rays (lightlike/nulllike geodesics) as one can do with EinsteinPy for example. However there appear to be no packages that implement specifically the Emitter-Observer problem (initial-value problem with a variable target boundary) in terms of General Relativity.

  • If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or @tag the editor you contacted:

No presubmission inquiry was made

Technical checks

For details about the pyOpenSci packaging requirements, see our packaging guide. Confirm each of the following by checking the box. This package:

  • does not violate the Terms of Service of any service it interacts with.
  • uses an OSI approved license.
  • contains a README with instructions for installing the development version.
  • includes documentation with examples for all functions.
  • contains a tutorial with examples of its essential functions and uses.
  • has a test suite.
  • has continuous integration setup, such as GitHub Actions CircleCI, and/or others.

Publication Options

JOSS Checks
  • The package has an obvious research application according to JOSS's definition in their submission requirements. Be aware that completing the pyOpenSci review process does not guarantee acceptance to JOSS. Be sure to read their submission requirements (linked above) if you are interested in submitting to JOSS.
  • The package is not a "minor utility" as defined by JOSS's submission requirements: "Minor ‘utility’ packages, including ‘thin’ API clients, are not acceptable." pyOpenSci welcomes these packages under "Data Retrieval", but JOSS has slightly different criteria.
  • The package contains a paper.md matching JOSS's requirements with a high-level description in the package root or in inst/. (note: not yet present, but is being written right now and will be uploaded during the review)
  • The package is deposited in a long-term repository with the DOI: https://zenodo.org/records/14537866

Note: JOSS accepts our review as theirs. You will NOT need to go through another full review. JOSS will only review your paper.md file. Be sure to link to this pyOpenSci issue when a JOSS issue is opened for your package. Also be sure to tell the JOSS editor that this is a pyOpenSci reviewed package once you reach this step.

Are you OK with Reviewers Submitting Issues and/or pull requests to your Repo Directly?

This option will allow reviewers to open smaller issues that can then be linked to PR's rather than submitting a more dense text based review. It will also allow you to demonstrate addressing the issue via PR links.

  • Yes I am OK with reviewers submitting requested changes as issues to my repo. Reviewers will then link to the issues in their submitted review.

Confirm each of the following by checking the box.

  • I have read the author guide.
  • I expect to maintain this package for at least 2 years and can help find a replacement for the maintainer (team) if needed.

Please fill out our survey

P.S. Have feedback/comments about our review process? Leave a comment here

Editor and Review Templates

The editor template can be found here.

The review template can be found here.

Footnotes

  1. Please fill out a pre-submission inquiry before submitting a data visualization package.

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