Published in the June, 1999 of Pub. ASP (vol. 111, 722)
Myron A. Smith 1
1STScI/CSC, Science Programs, Space Telescope Science Institute, 3700 San Martin Dr. Baltimore, MD 21218; Email: msmith@stsci.edu
The extraction of net spectral fluxes from echellogram images for the
creation of the final IUE archive was accomplished by the processing system
``NEWSIPS" computing a background surface from unilluminated pixels over a
wide area of the image for any given echellogram order. Although his technique
facilitates the computation of net fluxes by automated computer-processing
techniques, it does not always lead to optimal background solutions, especially
when interorder flux between closely spaced orders at short-wavelengths is
comparable to the net flux to be determined. In this study we investigate
the reason for a reported spurious time-dependence in NEWSIPS-computed
background fluxes of high dispersion Short Wavelength Prime (SWP) camera
images in the region of Lyman obtained for the the calibration
target
Scorpii (B0.2 V). We show that the temporal change of the
zero-flux (``null") surface of the SWP camera changes markedly with position
across the camera field. As this IUE camera aged, these changes caused
a relaxation in a steep gradient in the region where short-wavelength fluxes
were imaged. The NEWSIPS background-determining algorithm could not follow
this gradient accurately for pre-1982 high-dispersion images, a fact which
produced an undercorrection for the background near the Lyman
line
for these images. Ironically, the changed null surface actually permits better
background flux solutions in the short-wavelength region of the camera for
late-epoch images. As a consequence of time-dependent errors in both the
background-determination and in the Intensity Transfer Function for the SWP
camera, both gross and background fluxes of spectra may exhibit spurious
changes in time. We quantify these changes for the continuum net fluxes of
high-dispersion SWP images of
Sco over the lifetime of the IUE mission.
stars: individual Sco - stars: individual:
Cas
- techniques: data analysis, techniques: image processing