From IRAF to Python: new software architecture for echelle spectroscopy at Universidad Tecnologica de Pereira Observatory
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Abstract
With the evolution of technologies and the discontinuation of IRAF support for, Universidad Tecnológica de Pereira Observatory (OAUTP) identified the need to migrate to a new tool that would not only replace Image Reduction and Analysis Facility (IRAF) but also significantly enhance the Echelle spectra reduction process. To address this need, we
created and implemented a new software architecture in Python, utilizing Astropy and PyReduce libraries to improve the processing of Echelle spectra at the UTP Observatory. Our methodology was structured into five steps: (1) requirements analysis, (2) solution design, (3) software development, (4) quality testing, and (5) system deployment. We analyzed data from stars HD108, HD12560, and HD194649 using a ThAr lamp to detect and create 2D spectra.
The findings indicate that the new architecture effectively identifies orders and generates 2D spectra, establishing a formal foundation for software development at the UTP Observatory. This represents a significant advancement in astronomical spectroscopy, offering an improved alternative for processing Echelle spectra in astronomical telescopes.
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