# Characterizing and Improving the Data Reduction Pipeline for the Keck OSIRIS Integral Field Spectrograph

## TL;DR

This paper thoroughly characterizes and enhances the data reduction pipeline for the Keck OSIRIS integral field spectrograph, addressing its complexities and improving calibration accuracy based on over a decade of on-sky data.

## Contribution

It provides the first comprehensive analysis of the OSIRIS data reduction pipeline and introduces significant improvements to calibration procedures and flux assignment algorithms.

## Key findings

- Enhanced flux assignment algorithm characterization
- Identification and mitigation of spatial rippling artifacts
- Updated calibration files including rectification matrix and wavelength solution

## Abstract

OSIRIS is a near-infrared (1.0--2.4 $\mu$m) integral field spectrograph operating behind the adaptive optics system at Keck Observatory, and is one of the first lenslet-based integral field spectrographs. Since its commissioning in 2005, it has been a productive instrument, producing nearly half the laser guide star adaptive optics (LGS AO) papers on Keck. The complexity of its raw data format necessitated a custom data reduction pipeline (DRP) delivered with the instrument in order to iteratively assign flux in overlapping spectra to the proper spatial and spectral locations in a data cube. Other than bug fixes and updates required for hardware upgrades, the bulk of the DRP has not been updated since initial instrument commissioning. We report on the first major comprehensive characterization of the DRP using on-sky and calibration data. We also detail improvements to the DRP including characterization of the flux assignment algorithm; exploration of spatial rippling in the reduced data cubes; and improvements to several calibration files, including the rectification matrix, the bad pixel mask, and the wavelength solution. We present lessons learned from over a decade of OSIRIS data reduction that are relevant to the next generation of integral field spectrograph hardware and data reduction software design.