acronym
acronym: An Automatic Reduction Pipeline for Astronomical Images - Published in JOSS (2017)
Science Score: 95.0%
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Published in Journal of Open Source Software
Repository
Basic Info
- Host: GitHub
- Owner: kweis
- License: mit
- Language: Python
- Default Branch: master
- Size: 119 MB
Statistics
- Stars: 8
- Watchers: 1
- Forks: 3
- Open Issues: 3
- Releases: 3
Metadata Files
README.md
Automatic ARCTIC reductions
Kolby L. Weisenburger, Joseph Huehnerhoff, Emily M. Levesque, Philip Massey
2017
Acronym is an automatic reduction pipeline for the Astrophysical Research Consortium Telescope Imaging Camera (ARCTIC) at Apache Point Observatory (APO). Despite an increasing number of telescopes and observatories coming online, instrument-specific image reduction packages have been severely lacking. Historically, astronomers have resorted to building in-house (potentially ad-hoc) software to calibrate raw astronomical images; these different reduction algorithms can lead to discrepant scientific results. Acronym aims to streamline this image reduction process such that all ARCTIC users can benefit from 1. an open-source and open-access automatic reduction pipeline and 2. a normalized tool so that they are able to compare apples to apples and galaxies to galaxies.
We developed in-house procedures to reduce ARCTIC images rather than using other similar packages (e.g. astropy's ccdproc, DOI: 10.5281/zenodo.47652) to handle ARCTIC's various CCD readout modes. While these unique readout modes could have been enveloped into a helper function and used in tandem with astropy's ccdproc, we wished to maintain a package that was curated specifically for the ARCTIC instrument and that did not rely on preexisting reduction packages.

Stacked M106 image using reduced Johnson V, R, and I band images (reduced by acronym).
To use:
python acronym.py [your directory of data]
OR place .py in your folder with data and run with no argument:
python acronym.py
Note that there is a requirements.txt file. To install necessary dependencies:
pip install -r requirements.txt
Example
You can test the acronym pipeline using the rawdata zipfile (example.zip in release docs) or an ARCTIC dataset of your choosing.
Expected output for example directory reduction:
```bash 04:51:10 $ python acronym.py example/rawdata
Starting bias combine... Created master bias
Starting darks... Created master 10.0 second dark Created master 30.0 second dark Created master 5.0 second dark Created master 60.0 second dark No darks found for exposure time 120.0 sec. Continuing reductions...
Starting flats... Created master MSSSO R flat Created master MSSSO V flat
7 science images found. Starting reductions...
Finished reductions! ```
This created example/rawdata/reduced/cals/ and example/rawdata/reduced/data/. In case of missing select calibration (e.g. 30 second darks), acronym will alert you, but continue to reduce the other images.
Please contact Kolby Weisenburger (kweis@uw.edu) with questions, issues or contributions.
Owner
- Name: Kolby Weisenburger
- Login: kweis
- Kind: user
- Repositories: 14
- Profile: https://github.com/kweis
JOSS Publication
acronym: An Automatic Reduction Pipeline for Astronomical Images
Authors
University of Washington
University of Washington
Lowell Observatory
Tags
data reduction astronomyGitHub Events
Total
Last Year
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Kolby Weisenburger | k****s@u****u | 59 |
| Kolby Weisenburger | k****n | 5 |
| snyk-bot | s****t@s****o | 1 |
| Trevor Dorn-Wallenstein | t****n@g****m | 1 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 14
- Total pull requests: 5
- Average time to close issues: about 2 months
- Average time to close pull requests: 12 days
- Total issue authors: 3
- Total pull request authors: 4
- Average comments per issue: 0.07
- Average comments per pull request: 0.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- migueldvb (8)
- kweis (5)
- ajlemma (1)
Pull Request Authors
- kweis (2)
- snyk-bot (1)
- migueldvb (1)
- tzdwi (1)
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Dependencies
- astropy >=3.0.1
- numpy >=1.12.1
- pandas >=0.15.2
