acronym

acronym: An Automatic Reduction Pipeline for Astronomical Images - Published in JOSS (2017)

https://github.com/kweis/acronym

Science Score: 95.0%

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Basic Info
  • Host: GitHub
  • Owner: kweis
  • License: mit
  • Language: Python
  • Default Branch: master
  • Size: 119 MB
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  • Stars: 8
  • Watchers: 1
  • Forks: 3
  • Open Issues: 3
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Created almost 10 years ago · Last pushed over 4 years ago
Metadata Files
Readme License

README.md

Automatic ARCTIC reductions

JOSS DOI

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

JOSS Publication

acronym: An Automatic Reduction Pipeline for Astronomical Images
Published
May 02, 2017
Volume 2, Issue 13, Page 102
Authors
Kolby L. Weisenburger ORCID
University of Washington
Joseph Huehnerhoff
University of Washington
Emily M. Levesque
University of Washington
Philip Massey
Lowell Observatory
Editor
Arfon Smith ORCID
Tags
data reduction astronomy

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Dependencies

requirements.txt pypi
  • astropy >=3.0.1
  • numpy >=1.12.1
  • pandas >=0.15.2