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
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
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
Community Partnerships
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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):
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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.
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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.
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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:
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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
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
QuantityandTimetypes 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 theSkyCoordand other functionality inastropy.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):
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
Community Partnerships
If your package is associated with an
existing community please check below:
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?
Are there other Python packages that accomplish the same thing? If so, how does yours differ?
If you made a pre-submission enquiry, please paste the link to the corresponding issue, forum post, or other discussion, or
@tagthe 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:
Publication Options
JOSS Checks
paper.mdmatching JOSS's requirements with a high-level description in the package root or ininst/.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.
Confirm each of the following by checking the box.
Please fill out our survey
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
Please fill out a pre-submission inquiry before submitting a data visualization package. ↩