Automated SpectroPhotometric Image REDuction (ASPIRED)

TL;DR

ASPIRED is a Python-based automated pipeline with a GUI designed to streamline the reduction of spectro-photometric data, enabling rapid analysis for time-domain astronomy.

Contribution

It introduces a self-contained, fully automated spectral data reduction pipeline with diagnostics and a user-friendly GUI, enhancing efficiency in astronomical data analysis.

Findings

Automates reduction from raw images to calibrated spectra

Provides diagnostics and error handling for reliable results

Includes a cross-platform graphical interface for ease of use

Abstract

We aim to provide a suite of publicly available spectral data reduction software to facilitate rapid scientific outcomes from time-domain observations. For time resolved observations, an automated pipeline frees astronomers from performance of the routine data analysis tasks to concentrate on interpretation, planning future observations and communication with international collaborators. The project consists of two parts: data processing (ASPIRED) and a graphical user interface (gASPIRED).ASPIREDis written in python 3, and was intentionally developed as a self-consistent reduction pipeline with its own diagnostics and error handling. The pipeline can reduce2D spectral data from raw image to wavelength and flux calibrated 1D spectrum automatically without any user input.gASPIREDis a cross-platform software developedwithElectronon a single code base. It brings interactivity to the software with a well-maintained and user-friendly environment.