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ArXSP: A python-based modular application for the reduction of digitized archival spectra.

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Název: ArXSP: A python-based modular application for the reduction of digitized archival spectra.
Autoři: Izmailova, I.M.1 (AUTHOR) izmailova@fai.kz, Umirbayeva, A.Zh.1 (AUTHOR), Khassanov, M.K.1,2 (AUTHOR), Aktay, L.1 (AUTHOR), Shomshekova, S.A.1 (AUTHOR)
Zdroj: Astronomy & Computing. Apr2026, Vol. 55, pN.PAG-N.PAG. 1p.
Témata: Data reduction, Spectrum analysis, Imaging systems, Electronic data processing, Software frameworks, Python programming language, Optical distortion
Abstrakt: We present a methodology for the reduction of archival spectral data together with the description of a newly developed Python-based software package featuring an interactive graphical interface. The work is primarily aimed at processing spectra obtained with electron–optical converters (EOCs), which are characterized by geometric distortions induced by the magnetic field of the registration system. Such data are preserved, in particular, in the archive of the Fesenkov Astrophysical Institute (FAI), which contains about 10,000 photographic plates. These distortions, along with the need to transform the optical density of the photographic material into relative intensity, cannot be corrected by standard astronomical packages such as IRAF and therefore require a dedicated approach. Historically, reductions at FAI were performed using a program written in the Microsoft QuickC language for computing platforms of the 1990s, rendering it incompatible with modern operating systems. The new package is implemented with the PyQt5 framework, retaining the logic of the original code while extending its functionality. The implemented algorithms include image rotation and cropping, geometric distortion correction, construction of the characteristic curve linking optical density and intensity, and direct conversion of pixel values in object spectra. The developed software ensures reproducible reduction of archival spectra and provides a cross-platform environment with potential for further extensions. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index
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Abstrakt:We present a methodology for the reduction of archival spectral data together with the description of a newly developed Python-based software package featuring an interactive graphical interface. The work is primarily aimed at processing spectra obtained with electron–optical converters (EOCs), which are characterized by geometric distortions induced by the magnetic field of the registration system. Such data are preserved, in particular, in the archive of the Fesenkov Astrophysical Institute (FAI), which contains about 10,000 photographic plates. These distortions, along with the need to transform the optical density of the photographic material into relative intensity, cannot be corrected by standard astronomical packages such as IRAF and therefore require a dedicated approach. Historically, reductions at FAI were performed using a program written in the Microsoft QuickC language for computing platforms of the 1990s, rendering it incompatible with modern operating systems. The new package is implemented with the PyQt5 framework, retaining the logic of the original code while extending its functionality. The implemented algorithms include image rotation and cropping, geometric distortion correction, construction of the characteristic curve linking optical density and intensity, and direct conversion of pixel values in object spectra. The developed software ensures reproducible reduction of archival spectra and provides a cross-platform environment with potential for further extensions. [ABSTRACT FROM AUTHOR]
ISSN:22131337
DOI:10.1016/j.ascom.2025.101050