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

TL;DR

CWITools is an open-source Python3 pipeline that simplifies the analysis of complex 3D data from the Cosmic Web Imager instruments, enabling efficient extraction of scientific insights from large datasets.

Contribution

The paper introduces CWITools, a novel Python3 package that streamlines the analysis of PCWI and KCWI data, adaptable to other 3D integral field spectroscopy datasets.

Findings

Provides surface brightness, spectra, and velocity maps from IFU data

Facilitates analysis of faint signals in large samples

Open source and adaptable to various instruments

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.