ZodiPy

[MetinSa]

Submitting Author: Metin San (@MetinSa)
All current maintainers: (@MetinSa, @dncnwtts, @hermda02)
Package Name: ZodiPy
One-Line Description of Package: Zodiacal emission simulations in timestreams or HEALPix for solar system observers.
Repository Link: https://github.com/Cosmoglobe/zodipy
Version submitted: v.0.8.5
EiC: @isabelizimm
Editor: @dhomeier
Reviewer 1: @pllim
Reviewer 2: @lpsinger
Archive:
JOSS DOI:
Version accepted: v.0.9.2
Date accepted (month/day/year): 04/21/2024

---

Code of Conduct & Commitment to Maintain Package

• I agree to abide by pyOpenSci's Code of Conduct during the review process and in maintaining my package after should it be accepted.
• I have read and will commit to package maintenance after the review as per the pyOpenSci Policies Guidelines.

Description

ZodiPy is a new Python tool for modelling the zodiacal emission seen by an arbitrary Solar System observer, which can be used for removal of both thermal emission and scattered sunlight from interplanetary dust in astrophysical data. One of our main goals with ZodiPy is to make zodiacal emission simulations more accessible by providing the community with a simple Python interface to existing models. We recently published a paper on ZodiPy (which has also been accepted to A&A) where we describe in more detail modelling of zodiacal emission and the approach taken by ZodiPy.

ZodiPy uses Astropy both in the public API and internally. When using one of the methods provided to simulate the zodiacal emission, the user needs to use Quantity and Time types in input arguments such as frequency/wavelength, angles on the sky, and the time of observation. Internally, the Time object is used to compute the heliocentric ecliptic position of the Earth and the observer with the SkyCoord and other functionality in astropy.coordinates.

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

ZodiPy was already proposed and reviewed as an Astropy Affiliated package before the recent partnership between Astropy and pyOpenSci in APE22, so I am resubmitting the proposal as is here.

Domain Specific

• Geospatial
• Education

Community Partnerships

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

• Astropy: Link coming soon to standards
• Pangeo: My package adheres to the Pangeo standards listed in the pyOpenSci peer review guidebook

• For all submissions, explain how the 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):

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

    • The target audience is astronomers and cosmologists who work with sky observations all the way from the optical to CMB-frequencies. The scientific application of the this package is to provide the astronomer with and open source tool to create simulated timestreams, snapshots, or maps of the zodiacal light as seen from earth or any other arbitrary solar system observer. This allows existing experiments with data contaminated by zodiacal light to model and remove the light from their data, and future experiments can, and some already has (Nancy Grace Roman Space Telescope) use ZodiPy to make forecasts and simulations.

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

    • There exists a few zodiacal light tools but these are all experiment specific and can only be used to model the zodiacal light that was observed in their data. ZodiPy is as far as i know the only Python package that allows for arbitrary solar system observers to make zodiacal light simulations. ZodiPy is also extendible and can easily be updated with new improvements to zodiacal light models and even used to fit new models.

  • 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:

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

• Do you wish to automatically submit to the Journal of Open Source Software? If so:

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/.
• The package is deposited in a long-term repository with the DOI:

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

• Last but not least please fill out our pre-review survey. This helps us track
  submission and improve our peer review process. We will also ask our reviewers
  and editors to fill this out.

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. ↩

[isabelizimm]

Editor in Chief checks

Hi there! Thank you for submitting your package for pyOpenSci
review. Below are the basic checks that your package needs to pass
to begin our review. If some of these are missing, we will ask you
to work on them before the review process begins.

Please check our Python packaging guide for more information on the elements
below.

• Installation The package can be installed from a community repository such as PyPI (preferred), and/or a community channel on conda (e.g. conda-forge, bioconda).
  • The package imports properly into a standard Python environment import package.
• Fit The package meets criteria for fit and overlap.
• Documentation The package has sufficient online documentation to allow us to evaluate package function and scope without installing the package. This includes:
  • User-facing documentation that overviews how to install and start using the package.
  • Short tutorials that help a user understand how to use the package and what it can do for them.
  • API documentation (documentation for your code's functions, classes, methods and attributes): this includes clearly written docstrings with variables defined using a standard docstring format.
• Core GitHub repository Files
  • README The package has a README.md file with clear explanation of what the package does, instructions on how to install it, and a link to development instructions.
  • Contributing File The package has a CONTRIBUTING.md file that details how to install and contribute to the package.
  • Code of Conduct The package has a CODE_OF_CONDUCT.md file.
  • License The package has an OSI approved license.
    NOTE: We prefer that you have development instructions in your documentation too.
• Issue Submission Documentation All of the information is filled out in the YAML header of the issue (located at the top of the issue template).
• Automated tests Package has a testing suite and is tested via a Continuous Integration service.
• Repository The repository link resolves correctly.
• Package overlap The package doesn't entirely overlap with the functionality of other packages that have already been submitted to pyOpenSci.
• Archive (JOSS only, may be post-review): The repository DOI resolves correctly.
• Version (JOSS only, may be post-review): Does the release version given match the GitHub release (v1.0.0)?

---

• Initial onboarding survey was filled out
  We appreciate each maintainer of the package filling out this survey individually. 🙌
  Thank you authors in advance for setting aside five to ten minutes to do this. It truly helps our organization. 🙌

---

---

Editor comments

Hello there and welcome to the pyOpenSci universe (apologies for the bad pun 😂🌟)! We're happy you're here. I've done a quick overview of the zodipy package, and you are in great shape! There are a few things we will need before we start with your review:

1. Please add a CODE_OF_CONDUCT.md to the root of your repository. For more information, pyOpenSci's packaging guide has some examples and information on CoC files.
2. Please add a CONTRIBUTING.md to the root of your repository. For more information, pyOpenSci's packaging guide has some templates and information on CONTRIBUTING files.
3. I'll also nudge each maintainer (so, @MetinSa @dncnwtts) to fill out our onboarding survey.

Let us know when you've made these updates. I'll also use this message to introduce your editor-- @dhomeier will be helping you all through the review process 🎉 Thanks for taking on this role Derek!

[MetinSa]

Hi! 👋

I have now added a CODE_OF_CONDUCT.md and a CONTRIBUTING.md to the repository aswell as having filled out the survey. I also added @hermda02 as a maintainer of the project.