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| Paper: |
SpectraPy: a Python Library for Spectroscopic Data Reduction |
| Volume: |
538, ADASS XXXII |
| Page: |
126 |
| Authors: |
Marco Fumana |
| DOI: |
10.26624/CLCT1091 |
| Abstract: |
SpectraPy is an Astropy-affiliated package for spectroscopic data reduction. It collects algorithms and methods for data reduction of astronomical spectra
obtained with slit spectrographs. It has been created to fill the gap in Astropy between
the already existing data handling libraries and those for spectra analysis.
SpectraPy combines Astropy facilities with SAOImageDS9 features, providing a
set of tools for spectra calibration and 2D extraction. It starts from raw frames, and
using configuration files that describe the instrument’s optical setup, it automatically
locates and extracts 2D spectra that have been wavelength calibrated and corrected for
distortions.
The library is designed to be spectrograph-independent and can be used on both
long-slit and multi-object spectrograph data. It comes with a set of ready-to-use configuration files for the LBT-LUCI and LBT-MODS spectrographs, but it can be configured
for data reduction of other slit spectrographs.
In the future, I plan to extend SpectraPy to achieve a complete data reduction for
both slit and fiber-fed spectrographs.
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