Automatic Spectroscopic Data Reduction using BANZAI

TL;DR

This paper introduces an automated spectral data reduction framework, BANZAI, for Las Cumbres Observatory's spectrographs, enhancing efficiency in processing large volumes of astronomical data in time domain astronomy.

Contribution

The paper extends the BANZAI framework to automate spectroscopic data reduction and develops interactive tools for human vetting, improving data processing efficiency.

Findings

BANZAI successfully automates spectroscopic data reduction.

Tools enable effective human vetting and improvement.

Framework supports high-volume data processing in time domain astronomy.

Abstract

Time domain astronomy has both increased the data volume and the urgency of data reduction in recent years. Spectra provide key insights into astrophysical phenomena but require complex reductions. Las Cumbres Observatory has six spectrographs: two low-dispersion FLOYDS instruments and four NRES high-resolution echelle spectrographs. We present an extension of the data reduction framework, BANZAI, to process spectra automatically, with no human interaction. We also present interactive tools we have developed for human vetting and improvement of the spectroscopic reduction. Tools like those presented here are essential to maximize the scientific yield from current and future time domain astronomy.