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aesop

aesop: ARC Echelle Spectroscopic Observation Pipeline - Published in JOSS (2018)

https://github.com/bmorris3/aesop

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • ✓
    Academic publication links
    Links to: joss.theoj.org
  • ✓
    Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • ○
    Institutional organization owner
  • ✓
    JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

astronomy python spectroscopy

Keywords from Contributors

exposure-calculator

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 4 months ago · JSON representation

Repository

ARC Echelle Spectroscopic Observation Pipeline (aesop)

Basic Info
  • Host: GitHub
  • Owner: bmorris3
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage: http://arces.readthedocs.io
  • Size: 992 KB
Statistics
  • Stars: 3
  • Watchers: 4
  • Forks: 3
  • Open Issues: 7
  • Releases: 3
Topics
astronomy python spectroscopy
Created about 8 years ago · Last pushed 9 months ago
Metadata Files
Readme Contributing License

README.rst 

ARC Echelle Spectroscopic Observation Pipeline (aesop)
------------------------------------------------------

.. image:: https://github.com/bmorris3/aesop/actions/workflows/ci.yml/badge.svg
   :target: https://github.com/bmorris3/aesop/actions/workflows/ci.yml
   :alt: Testing status

.. image:: https://readthedocs.org/projects/arces/badge/?version=latest
    :target: https://arces.readthedocs.io/en/latest/?badge=latest
    :alt: Documentation Status

.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat
    :target: http://www.astropy.org
    :alt: Powered by Astropy Badge

.. image:: https://joss.theoj.org/papers/10.21105/joss.00854/status.svg
    :target: https://doi.org/10.21105/joss.00854
    :alt: Paper

The ARC Echelle Spectroscopic Observation Pipeline, or ``aesop``, is a high resolution
spectroscopy software toolkit tailored for observations from the `ARC Echelle Spectrograph (ARCES)
`_ mounted on the
`ARC 3.5 m Telescope `_ at
`Apache Point Observatory `_. ``aesop`` picks up where the
traditional IRAF reduction scripts leave off, offering an open development,
object-oriented Pythonic analysis framework for echelle spectra.

Basic functionality of ``aesop`` includes: (1) blaze function normalization by polynomial
fits to observations of early-type stars, (2) an additional/alternative robust least-squares
normalization method, (3) radial velocity measurements (or offset removals) via
cross-correlation with model spectra, including barycentric radial velocity calculations,
(4) concatenation of multiple echelle orders into a simple 1D spectrum, and (5) approximate
flux calibration.


Installation
------------

Install ``aesop`` with::

    pip install aesop-arces

You can install ``aesop`` from the source code by doing the following::

    git clone https://github.com/bmorris3/aesop.git
    cd aesop
    pip install .

For more information, `read the docs `_.

License
-------

This project is Copyright (c) Brett Morris & Trevor Dorn-Wallenstein and licensed under
the terms of the MIT license. This package is based upon
the `Astropy package template `__
which is licensed under the BSD 3-clause licence. See the licenses folder for
more information.

Owner

  • Name: Brett M. Morris
  • Login: bmorris3
  • Kind: user
  • Location: Baltimore, MD
  • Company: @SpaceTelescope

Software engineer & astronomer.

JOSS Publication

aesop: ARC Echelle Spectroscopic Observation Pipeline
Published
August 15, 2018
DOI
Volume 3, Issue 28, Page 854
Authors
Brett M. Morris ORCID
Astronomy Department, University of Washington, Seattle, WA, USA
Trevor Dorn-Wallenstein ORCID
Astronomy Department, University of Washington, Seattle, WA, USA
Editor
Jake Vanderplas ORCID
Tags
astronomy spectroscopy
View PDF Review Thread Software Archive

GitHub Events

Total
  • Issues event: 1
  • Push event: 3
  • Fork event: 1
  • Create event: 2
Last Year
  • Issues event: 1
  • Push event: 3
  • Fork event: 1
  • Create event: 2

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 92
  • Total Committers: 3
  • Avg Commits per committer: 30.667
  • Development Distribution Score (DDS): 0.163
Past Year
  • Commits: 3
  • Committers: 1
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Brett Morris b****1@g****m 77
Trevor Dorn-Wallenstein t****n@g****m 11
Brett M. Morris b****s@u****u 4
Committer Domains (Top 20 + Academic)
uw.edu: 1

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 13
  • Total pull requests: 20
  • Average time to close issues: about 4 hours
  • Average time to close pull requests: 3 days
  • Total issue authors: 7
  • Total pull request authors: 3
  • Average comments per issue: 1.54
  • Average comments per pull request: 0.5
  • Merged pull requests: 18
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • wtgee (7)
  • exowanderer (1)
  • joshua-liberman (1)
  • bmorris3 (1)
  • tzdwi (1)
  • cgehan (1)
  • SterlingYM (1)
Pull Request Authors
  • bmorris3 (15)
  • tzdwi (4)
  • SterlingYM (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 17 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: aesop-arces

Exposure time calculator for APO/ARCES

  • Documentation: https://aesop-arces.readthedocs.io/
  • License: MIT License Copyright (c) 2017 Brett M. Morris Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
  • Latest release: 0.5
    published 9 months ago
  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 17 Last month
Rankings
Dependent packages count: 9.4%
Average: 31.2%
Dependent repos count: 52.9%
Maintainers (1)
bmmorris
Last synced: 4 months ago

Dependencies

setup.py pypi
  • astropy *
  • s.strip *