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Lam, MC, Smith, RJ, Arcavi, I, Steele, IA, Veitch-Michaelis, J and Wyrzykowski, L (2023) Automated SpectroPhotometric Image REDuction (ASPIRED). Astronomical Journal, 166 (1). ISSN 0004-6256
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Automated SpectroPhotometric Image REDuction (ASPIRED.pdf - Published Version Available under License Creative Commons Attribution. Download (4MB) | Preview |
Abstract
We provide a suite of public open-source spectral data-reduction software to rapidly obtain scientific products from all forms of long-slit-like spectroscopic observations. Automated SpectroPhotometric REDuction (ASPIRED) is a Python-based spectral data-reduction toolkit. It is designed to be a general toolkit with high flexibility for users to refine and optimize their data-reduction routines for the individual characteristics of their instruments. The default configuration is suitable for low-resolution long-slit spectrometers and provides a quick-look quality output. However, for repeatable science-ready reduced spectral data, some moderate one-time effort is necessary to modify the configuration. Fine-tuning and additional (pre)processing may be required to extend the reduction to systems with more complex setups. It is important to emphasize that although only a few parameters need updating, ensuring their correctness and suitability for generalization to the instrument can take time due to factors such as instrument stability. We compare some example spectra reduced with ASPIRED to published data processed with iraf-based and STARLINK-based pipelines, and find no loss in the quality of the final product. The Python-based, iraf-free ASPIRED can significantly ease the effort of an astronomer in constructing their own data-reduction workflow, enabling simpler solutions to data-reduction automation. This availability of near-real-time, science-ready data will allow adaptive observing strategies, particularly important in, but not limited to, time-domain astronomy.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0201 Astronomical and Space Sciences; Astronomy & Astrophysics |
| Subjects: | Q Science > QB Astronomy Q Science > QC Physics |
| Divisions: | Astrophysics Research Institute |
| Publisher: | IOP Publishing |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 24 Sep 2024 13:10 |
| Last Modified: | 24 Sep 2024 13:15 |
| DOI or ID number: | 10.3847/1538-3881/acd75c |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/24240 |
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