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ASPIRED: A Python-based spectral data reduction toolkit

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 18 Jul 2022 English Publisher:Zenodo
Authors: Lam, Marco C; Smith, Robert J;

doi: 10.5281/zenodo.4127294 , 10.5281/zenodo.6858321 , 10.5281/zenodo.7632106 , 10.5281/zenodo.6903357 , 10.5281/zenodo.7388088 , 10.5281/zenodo.8179037 , 10.5281/zenodo.8033649

ASPIRED: A Python-based spectral data reduction toolkit

Abstract

The Automated SpectroPhotometric REDuction (ASPIRED) toolkit is aimed to be as general as possible with high flexibility such that it can work with different instruments. It offers a flexible set of functions for users to refine and tailor-make automated pipelines for different instruments. ASPIRED is entirely Python-based and is independent of iraf.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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