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17 changes: 17 additions & 0 deletions README.md
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ARC Echelle Spectroscopic Observation Pipeline (aesop)


The ARC Echelle Spectroscopic Observation Pipeline, or ``aesop``, is a high resolution
spectroscopy software toolkit tailored for observations from the Astrophysics Research
Consortium (ARC) Echelle Spectrograph 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.

For more info, [read the docs](http://arces.readthedocs.io/en/latest/?badge=latest)!
2 changes: 0 additions & 2 deletions aesop/spectra.py
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Parameters
----------
standard_spectrum : `EchelleSpectrum`
Spectrum of the standard object
polynomial_order : int
Fit the standard's spectrum with a polynomial of this order
only_orders : `~numpy.ndarray` (optional)
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4 changes: 2 additions & 2 deletions docs/paper.md
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affiliations:
- name: Astronomy Department, University of Washington, Seattle, WA, USA
index: 1
date: XX July 2018
date: 15 July 2018
bibliography: paper.bib
---

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We acknowledge guidance from Suzanne L. Hawley and Emily Levesque, and the invaluable
framework and dev team behind the astropy package-template.

# References
# References

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