The Son-Of-X-shooter (SOXS) Data-Reduction Pipeline

TL;DR

The SOXS Data-Reduction Pipeline automates complex spectrograph data processing, providing a user-friendly, efficient, and fully automated tool to deliver science-ready data directly to the ESO archive.

Contribution

This work introduces a Python-based, automated data reduction pipeline for the SOXS spectrograph, emphasizing usability and integration with ESO data archives.

Findings

Pipeline reduces data within typical exposure times.

Provides a simple command-line interface for users.

Supports fully automated data streaming to ESO archive.

Abstract

The Son-Of-XShooter (SOXS) is a single object spectrograph (UV-VIS & NIR) and acquisition camera scheduled to be mounted on the ESO 3.58-m New Technology Telescope at the La Silla Observatory. Although the underlying data reduction processes to convert raw detector data to fully-reduced science ready data are complex and multi-stepped, we have designed the SOXS Data Reduction pipeline with the core aims of providing end-users with a simple-to-use, well-documented command-line interface while also allowing the pipeline to be run in a fully automated state; streaming reduced data into the ESO Science Archive Facility without need for human intervention. To keep up with the stream of data coming from the instrument, there is the requirement to optimise the software to reduce each observation block of data well within the typical observation exposure time. The pipeline is written in Python 3 and has been built with an agile development philosophy that includes CI and adaptive planning.