Skip to main content

Exposure time calculator for APO/ARCES

Project description

ARC Echelle Spectroscopic Observation Pipeline (aesop)

Testing status Documentation Status Powered by Astropy Badge 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

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.

Project details


Release history Release notifications | RSS feed

This version

0.5

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

aesop_arces-0.5.tar.gz (342.8 kB view details)

Uploaded Source

File details

Details for the file aesop_arces-0.5.tar.gz.

File metadata

  • Download URL: aesop_arces-0.5.tar.gz
  • Upload date:
  • Size: 342.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for aesop_arces-0.5.tar.gz
Algorithm Hash digest
SHA256 b3fcafa1e1e589da37d90721db5be2bc87439917f564fbae651d18229c48f780
MD5 7e42d3453841ec77a7a38d37e6fbd882
BLAKE2b-256 6ea06239d4c940df362076b6d1f7d786440a1d4339d17e4baa6d77d109a52548

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page