Science Score: 77.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
✓Committers with academic emails
1 of 5 committers (20.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.3%) to scientific vocabulary
Repository
Tool kit for doing PSF photometry
Basic Info
- Host: GitHub
- Owner: SSDataLab
- License: mit
- Language: Python
- Default Branch: master
- Size: 55.8 MB
Statistics
- Stars: 19
- Watchers: 1
- Forks: 5
- Open Issues: 11
- Releases: 3
Metadata Files
README.md
PSFMachine
PRF photometry with Kepler
Check out the documentation. Check out the paper
PSFMachine is an open source Python tool for creating models of instrument effective Point Spread Functions (ePSFs), a.k.a Pixel Response Functions (PRFs). These models are then used to fit a scene in a stack of astronomical images. PSFMachine is able to quickly derive photometry from stacks of Kepler images and separate crowded sources.
Installation
pip install psfmachine
Example use
Below is an example script that shows how to use PSFMachine. Depending on the speed or your computer fitting this sort of model will probably take ~10 minutes to build 200 light curves. You can speed this up by changing some of the input parameters.
python
import psfmachine as psf
import lightkurve as lk
tpfs = lk.search_targetpixelfile('Kepler-16', mission='Kepler', quarter=12, radius=1000, limit=200, cadence='long').download_all(quality_bitmask=None)
machine = psf.TPFMachine.from_TPFs(tpfs, n_r_knots=10, n_phi_knots=12)
machine.fit_lightcurves()
Funding for this project is provided by NASA ROSES grant number 80NSSC20K0874.
Owner
- Name: Space Science Data Lab
- Login: SSDataLab
- Kind: organization
- Email: christina.l.hedges@nasa.gov
- Location: NASA Ames
- Repositories: 12
- Profile: https://github.com/SSDataLab
Space Science Data Lab at NASA Ames
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Hedges"
given-names: "Christina"
orcid: "https://orcid.org/0000-0002-3385-8391"
- family-names: "Martinez-Palomera"
given-names: "Jorge"
orcid: "https://orcid.org/0000-0002-7395-4935"
title: "PSF Machine"
version: 1.0.0
doi: 10.5281/zenodo.4784073
date-released: 2021-04-24
url: "https://github.com/SSDataLab/psfmachine"
preferred-citation:
type: article
authors:
- family-names: "Hedges"
given-names: "Christina"
orcid: "https://orcid.org/0000-0002-3385-8391"
- family-names: "Luger"
given-names: "Rodrigo"
orcid: "https://orcid.org/0000-0002-0296-3826"
- family-names: "Martinez-Palomera"
given-names: "Jorge"
orcid: "https://orcid.org/0000-0002-7395-4935"
- family-names: "Dotson"
given-names: "Jessie"
orcid: "https://orcid.org/0000-0003-4206-5649"
- family-names: "Barentsen"
given-names: "Geert"
orcid: "https://orcid.org/0000-0002-3306-3484"
doi: "10.3847/1538-3881/ac0825"
url: "https://doi.org/10.3847/1538-3881/ac0825"
journal: "The Astronomical Journal"
month: 10
title: "Linearized Field Deblending: Point-spread Function Photometry for Impatient Astronomers"
issue: 3
volume: 162
year: 2021
GitHub Events
Total
- Issues event: 1
- Watch event: 3
Last Year
- Issues event: 1
- Watch event: 3
Committers
Last synced: almost 3 years ago
All Time
- Total Commits: 257
- Total Committers: 5
- Avg Commits per committer: 51.4
- Development Distribution Score (DDS): 0.327
Top Committers
| Name | Commits | |
|---|---|---|
| Jorge | j****a@u****l | 173 |
| Christina Hedges | c****s@n****v | 39 |
| Jorge Martínez-Palomera | j****a@u****m | 30 |
| Christina | ch@C****l | 8 |
| Christina Hedges | 1****s@u****m | 7 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 8 months ago
All Time
- Total issues: 21
- Total pull requests: 56
- Average time to close issues: about 1 month
- Average time to close pull requests: 30 days
- Total issue authors: 3
- Total pull request authors: 2
- Average comments per issue: 0.67
- Average comments per pull request: 1.16
- Merged pull requests: 47
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 1
- Pull request authors: 0
- Average comments per issue: 0.0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- jorgemarpa (11)
- christinahedges (9)
- jabienias (1)
Pull Request Authors
- jorgemarpa (41)
- christinahedges (15)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- pypi 34 last-month
- Total dependent packages: 0
- Total dependent repositories: 1
- Total versions: 4
- Total maintainers: 2
pypi.org: psfmachine
Tool to perform fast PSF photometry of primary and background targets from Kepler/K2 Target Pixel Files
- Homepage: https://ssdatalab.github.io/psfmachine/
- Documentation: https://psfmachine.readthedocs.io/
- License: MIT
-
Latest release: 1.1.4
published about 2 years ago
Rankings
Maintainers (2)
Dependencies
- 164 dependencies
- black ^20.8b1 develop
- exoplanet ^0.4.4 develop
- flake8 ^3.8.1 develop
- ipywidgets ^7.6.3 develop
- jupyterlab ^2.2.2 develop
- line-profiler ^3.0.2 develop
- memory-profiler ^0.58.0 develop
- mkdocs ^1.1.2 develop
- mkdocs-jupyter ^0.17.3 develop
- mkdocs-material ^7.0.6 develop
- mkdocstrings ^0.15.0 develop
- pytest ^6.1.2 develop
- pytkdocs ^0.11.0 develop
- astropy ^4.2
- corner ^2.1.0
- diskcache ^5.3.0
- fbpca ^1.0
- fitsio ^1.1.3
- imageio ^2.9.0
- imageio-ffmpeg ^0.4.5
- jedi 0.17.2
- kbackground ^0.1.7
- lightkurve ^2.0.4
- matplotlib ^3.3.3
- numpy ^1.19.4
- pandas ^1.1
- patsy ^0.5.1
- photutils ^1.1.0
- pyia ^1.2
- python ^3.7.1
- scipy ^1.5.4
- tqdm ^4.54.0
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v1 composite
- actions/setup-python v1 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite