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CWITools: A Python3 Data Analysis Pipeline for the Cosmic Web Imager Instruments

O'Sullivan, Donal and Chen, Yuguang (2020) CWITools: A Python3 Data Analysis Pipeline for the Cosmic Web Imager Instruments. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210106-102312443

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Abstract

The Palomar Cosmic Web Imager (PCWI) and Keck Cosmic Web Imager (KCWI) are integral-field spectrographs on the Hale 5m telescope at Palomar Observatory and the Keck-2 10m telescope at W. M. Keck Observatory, respectively. In recent years, these instruments have been increasingly used to conduct survey work; in particular focused on the circumgalactic and intergalactic media at high redshift. Extracting faint signals from three-dimensional IFU data is a complex task which can become prohibitively difficult for large samples without the proper tools. We present CWITools, a package written in Python3 for the analysis of PCWI and KCWI data. CWITools is designed to provide a pipeline between the output of the standard instrument data reduction pipelines and scientific products such as surface brightness maps, spectra, velocity maps, as well as a wide array of associated models and measurements. While the package is designed specifically for PCWI and KCWI data, the package is open source and can be adapted to accommodate any three-dimensional integral field spectroscopy data. Here, we describe this pipeline, the methodology behind individual steps and provide example applications.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/2011.05444arXivDiscussion Paper
ORCID:
AuthorORCID
O'Sullivan, Donal0000-0002-4959-9179
Chen, Yuguang0000-0003-4520-5395
Subject Keywords:Python3, Data Analysis, Cosmic Web Imager, PCWI, KCWI
DOI:10.48550/arXiv.2011.05444
Record Number:CaltechAUTHORS:20210106-102312443
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210106-102312443
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107338
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:06 Jan 2021 23:16
Last Modified:02 Jun 2023 01:12

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