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Astron. Astrophys. Suppl. Ser. 141, 331-341

The INES system

II. Ripple correction and absolute calibration for IUE high resolution spectra

A. Cassatella1,2[*] - A. Altamore2 - R. González-Riestra3[*] - J.D. Ponz 4 - J. Barbero 5 - A. Talavera 3[*] - W. Wamsteker 6[*]

Send offprint request: A. Cassatella,
e-mail: cassatella@fis.uniroma3.it


1 - CNR, Istituto di Astrofisica Spaziale, Via del Fosso del Cavaliere, I-00133 Roma, Italia
2 - Dipartimento di Fisica E. Amaldi, Universitá Roma Tre, Via della Vasca Navale 84, I-00146 Roma, Italia
3 - Laboratorio de Astrofísica Espacial y Física Fundamental, VILSPA, P.O. Box 50727, E-28080 Madrid, Spain
4 - European Space Agency, VILSPA, P.O. Box 50727, E-28080 Madrid, Spain
5 - Departamento de Física Aplicada, Universidad de Almería, Carretera de Sacramento s/n, E-04120 Almería, Spain
6 - ESA-IUE Observatory, VILSPA, P.O. Box 50727, E-28080 Madrid, Spain

Received July 23; accepted October 22, 1999

Abstract:

In this paper we document the results of the study which led to the ripple correction and absolute calibration algorithms applied to the high resolution spectra processed with the NEWSIPS software for the Final Archive of the IUE Project. In this analysis, based on a very large number of spectra, we find that both the K and $\alpha $ parameters (not only the former as previously believed) vary with order number. This fact, together with the finding that the central peaks of the blaze function vary also as a function of the THDA temperature (for the SWP camera) and of the date of observations (for the LWP and LWR cameras), makes the ripple correction algorithm more complex than previously considered but, at the same time, considerably more reliable. As for the high resolution absolute calibration, the method followed is similar to the one implemented in IUESIPS. The internal accuracy of the high resolution calibration is about 4%. We note that the ripple correction and absolute calibration algorithms here described apply also to IUE data processed and distributed with the INES system.

Key words: methods: data analysis; techniques: image processing; ultraviolet: general



 
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