@inproceedings{a0a924d2963b4c78bc9c388cbdfe7ccf,
title = "Specreduce: An AstroPy-coordinated Toolbox for Spectroscopic Data Reduction",
abstract = "specreduce is an AstroPy-coordinated python package whose goal is to be a toolbox of functions and utilities that are relevant to the reduction of spectroscopic data. It is largely focused on optical/IR spectroscopy where the raw data consists of an image projected from a spectrograph onto a 2D imaging detector. The way the spectral and spatial information is encoded into these 2D images can be quite complex and varied (e.g. multi-object vs multi-fiber vs integral field spectroscopy). Methods and algorithms for handling this variety of data have been implemented across many previous and existing data pipelines. Specreduce aims to collect these best practices into a common, shared space that facilitates more collaboration and easier development of future spectroscopic pipelines.",
keywords = "astropy, community developed, data reduction pipelines, open source, spectroscopy",
author = "Pickering, {Timothy E.} and Erik Tollerud and Clare Shanahan and Kyle Conroy and Richard O{\textquoteright}Steen and Camilla Pacifici and Brett Morris",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; Software and Cyberinfrastructure for Astronomy VIII 2024 ; Conference date: 16-06-2024 Through 21-06-2024",
year = "2024",
doi = "10.1117/12.3021056",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Jorge Ibsen and Gianluca Chiozzi",
booktitle = "Software and Cyberinfrastructure for Astronomy VIII",
}