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Dolphot-LC Software Submission #177
Description
Submitting Author: Ramona White (@whit5224)
All current maintainers: (@whit5224, @patkel)
Package Name: Dolphot-LC
One-Line Description of Package: Dolphot-LC is an automated Hubble Space Telescope (HST) data pipeline based on the popular Dolphot analysis package; this package allows for the creation of lightcurves and difference images from HST data.
Repository Link: https://github.com/patkel/dolphot_lc
Version submitted: 0.0.2
Editor: TBD
Reviewer 1: TBD
Reviewer 2: TBD
Archive: TBD
JOSS DOI: TBD
Version accepted: TBD
Date accepted (month/day/year): TBD
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Description
Dolphot-LC is an automated Hubble Space Telescope (HST) data pipeline based on the popular Dolphot analysis package. This package allows for the creation of lightcurves and difference images from HST data. Dolphot-LC allows the user to run their own fits images through the pipeline and generate results and requires a coadded template image and science images that are already aligned to template. To make package use easier, Dolphot-LC has been documented extensively in a Read the Docs: https://dolphot-lc.readthedocs.io/en/latest/index.html and Jupyter Notebook: https://nbviewer.org/gist/whit5224/287af111f44bf83a23eaaf19a5121c75.
Scope
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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
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Who is the target audience and what are scientific applications of this package?
The target audience are scientist and astrophysicists interested in analyzing HST and JWST data with the goal of creating light curves and difference images. -
Are there other Python packages that accomplish the same thing? If so, how does yours differ?
Dolphot-LC implements and expands upon the DOLPHOT stellar photometry package. Our software makes it possible apply DOLPHOT to difference images in order to measure changes in brightness due to astrophysical transients. Dolphot-LC improves quality and usability by allowing the creating of light curves and difference images. -
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Footnotes
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Batalex commentedon May 4, 2024
Hey @whit5224, thank you for submitting Dolphot-LC! I am Alex, pyOpenSci current Editor-in-Chief. I went through the docs and the code, and I think that Dolphot-LC is in scope for us.
Over the next few days, I'll go over the E-i-C checks so that we can address a few things before moving on to the actual review.
whit5224 commentedon May 14, 2024
Thanks for the initial check! Look forward to hearing back from you soon.
Batalex commentedon May 19, 2024
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.
import package.README.mdfile with clear explanation of what the package does, instructions on how to install it, and a link to development instructions.CONTRIBUTING.mdfile that details how to install and contribute to the package.CODE_OF_CONDUCT.mdfile.NOTE: We prefer that you have development instructions in your documentation too.
YAMLheader of the issue (located at the top of the issue template).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
Hey there,
Sorry it took me so long to get back to you.
I think that
dolphot_lcneeds some more work before we proceed with the review. I made the call to not check some of the items, here is why.The package installation does not install its dependencies. This is problematic because the user has to go to the repository to find the
requirements.txtfile. I encourage you to take a look at our packaging guide to properly set up that. On a side note, I am curious as to how you built the wheel hosted on pypi since it's not clear from the CI and the source code.I'd like to see more content to get a better grip of what
dolphot_lcdoes (arguably, I'm not familiar with the field, so this might be a ME problem). Namely, think of your documentation as something that should fill the two following axes:Think of the readme as the front page for your package. Like a resume, you only have a few moments of attention span from a reader before they lose interest and look for something else.
Here is an example you can take inspiration from
Expand
Using our package guide, the readme will also be present on the pypi front page
The file is present, but the content is lacking. For instance, you set the expectations that users can contribute by fixing bugs or proposing new features, but there is no explanation as to how to do that (how to build the package, how to test it, etc.)
Same as before, I encourage you to take a look at our guide. Using a proven test framework will increase the quality of your tests, as well as aligning
dolphot_lcon the community-established practices.cmarmo commentedon Jul 5, 2024
Hi @whit5224 , I'm Chiara and I'm following up your submission as editor in chief.
Do you mind giving an update about the initial checks on your code?
No pressure, just let us know how do you plan to proceed so we can fairly share the packages among editors and reviewers.
Thank you for submitting your package to pyOpenSci!
lwasser commentedon Feb 21, 2025
hi, there @whit5224, I'm just checking in on this review, given it's been open for some time, and it's been 9 months since we've heard from you! I understand that life gets busy, and that is OK!
We just need to understand if you have the bandwidth to proceed with this review or not. We have two options!
Please let us know how you'd like to proceed and if we can support you in any way with moving this forward.
I hope that you are doing well and look forward to your response.
whit5224 commentedon Feb 21, 2025
lwasser commentedon Feb 22, 2025
Hi there @whit5224 no apologies needed! I really understand. THANK YOU for the speedy reply! ✨
pllim commentedon Mar 4, 2025
This should have astropy label. FYI. Thanks!
dhomeier commentedon May 27, 2025
@pllim apparently I had removed the label right after first adding it last year already, and just after you had entered the package into the "migrating" packages list in astropy/astropy.github.com#571, but I can't remember why I would have done that...
lwasser commentedon Oct 7, 2025
Hi friends. This review has been quiet since May! I'm just checking in here. Are we waiting for an Astropy editor to have bandwidth to move it forward?
pllim commentedon Oct 7, 2025
Let's see if @dhomeier or @hamogu have a path forward. 🙏
dhomeier commentedon Oct 7, 2025
As you had marked it on-hold I was assuming we are still awaiting the requested updates from the submitter – @whit5224 would you need any assistance from our side to proceed?
crhea93 commentedon Sep 12, 2026
@whit5224 Hello! I'm reaching out to see if you have had a chance to consider the previous comment by @dhomeier . Since it has been a while, I will revisit this submission in a month or so. If there has been no movement, I'll mark it as closed :)