Automated SpectroPhotometric Image REDuction (ASPIRED)
نویسندگان
چکیده
We provide a suite of public open-source spectral data-reduction software to rapidly obtain scientific products from all forms long-slit-like spectroscopic observations. Automated SpectroPhotometric REDuction (ASPIRED) is Python-based toolkit. It designed be general toolkit with high flexibility for users refine and optimize their routines the individual characteristics instruments. The default configuration suitable low-resolution long-slit spectrometers provides quick-look quality output. However, repeatable science-ready reduced data, some moderate one-time effort necessary modify configuration. Fine-tuning additional (pre)processing may required extend reduction systems more complex setups. important emphasize that although only few parameters need updating, ensuring correctness suitability generalization instrument can take time due factors such as stability. compare example spectra ASPIRED published data processed iraf-based STARLINK-based pipelines, find no loss in final product. Python-based, iraf-free significantly ease an astronomer constructing own workflow, enabling simpler solutions automation. This availability near-real-time will allow adaptive observing strategies, particularly in, but not limited to, time-domain astronomy.
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ژورنال
عنوان ژورنال: The Astronomical Journal
سال: 2023
ISSN: ['1538-3881', '0004-6256']
DOI: https://doi.org/10.3847/1538-3881/acd75c