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SECTION 2 - NATURE OF IUE DATA



2.1 IMAGE AND LABEL PARAMETERS

Each raw IUE image consists of a 768 by 768 array of 8-bit picture elements or "pixels". (Partial-read" images, which are not full 768 by 768 images, are discussed in Section 3.3.) Each vidicon scan line consists of 768 pixels or "samples"; 768 such scan lines compose the entire image. Line 1, sample 1 is at the upper left corner of the image; line 768, sample 768 is at the lower right corner of the image. Each raw pixel value lies in the range 0 to 255 (integers only). The units of raw pixel values are DN (or data numbers), which are proportional (up to the telemetry system limit of 255) to the integrated charge read out from the SEC vidicon target in the camera scanning process. Since the telemetry system saturates at 255, at that level the DN/charge proportionality breaks down.

Associated with each raw image is a set of 20 header, or label, records. Each record is 360 8-bit bytes long (a concatenation of five 72-byte logical records). This set of 20 label records is generated by the IUE Operations Control Center (OCC) software during image acquisition and contains various identifying parameters and scientific/engineering data pertinent to the image. The label associated with a given image is then expanded (up to a maximum of 42 records) to contain a log or history of the image processing operations in a manner which is illustrated in Section 9 , where a detailed description of the standard label-record formats will be found.

Raw IUE images must be corrected for the instrumental effects of the SEC vidicon camera system before quantitatively meaningful data can be extracted from them. The geometric distortion and photometric nonlinearities and nonuniformities introduced by the vidicon system are compensated for by the methods described in Sections 4 and 5. The layout of the spectral format in either dispersion mode is mathematically described by the methods discussed in section 6. Figures 2-1 through 2-15 illustrate schematically the spectral formats in both dispersion modes, for both apertures and all three operational cameras. These diagrams refer to raw image space. The square border defines the 768 by 768 array comprising the whole image, whereas the inscribed arcs define the area within which photometric correction is made (see Section 5) and from which spectral information is extracted. For high dispersion, the extracted odd and even echelle orders are shown in separate figures. Numbers and tick marks along the borders mark the wavelengths in angstroms (Å).

Figure 2-1. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the Long Wavelength Prime (LWP) Camera, Small Aperture (Even Orders From 124 to 72)

Figure 2-2. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the LWP Camera, Small Aperture (Odd Orders From 125 to 73)

Figure 2-3. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the LWP Camera, Large Aperture (Even Orders From 124 to 72)

Figure 2-4. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the LWP Camera, Large Aperture (Odd Orders From 125 to 73)

Figure 2-5. Schematic Representation of the Low Dispersion Spectral Format in the LWP Camera, Both Apertures

Figure 2-6. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the Short Wavelength Prime (SWP) Camera, Small Aperture (Even Orders From 124 to 66)

Figure 2-7. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the SWP Camera, Small Aperture (Odd Orders From 125 to 67)

Figure 2-8. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the SWP Camera, Large Aperture (Even Orders From 124 to 66)

Figure 2-9. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the SWP Camera, Large Aperture (Odd Orders From 125 to 67)

Figure 2-10. Representation of the Low Dispersion Spectral Format in the SWP Camera, Both Apertures

Figure 2-11. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the Long Wavelength Redundant (LWR) Camera, Small Aperture (Even Orders From 124 to 72)

Figure 2-12. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the LWR Camera, Small Aperture (Odd Orders From 125 to 73)

Figure 2-13. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the LWR Camera, Large Aperture (Even Orders From 124 to 72)

Figure 2-14. Schematic Representation of the Echelle (High Dispersion) Spectral Format in the LWR Camera, Large Aperture (Odd Orders From 125 to 73)

Figure 2-15. Schematic Representation of the Low Dispersion Spectral Format in the LWR Camera, Both Apertures


2.2 SPECTROGRAPH GEOMETRY

The long and short wavelength IUE spectrographs each have two entrance apertures: a small aperture (nominal 3-arcsec diameter circle) and a large aperture (nominal 10 arcsec by 20 arcsec slot). A compilation of the best available determinations of various dimensions relating to the sizes and separations of the small and large apertures in each spectrograph is contained in Panek (1982a). Although the various methods available for determining the fundamental dimensions do not always yield results which agree to within the limits set by the internal consistency of each, the IUE Three Agency Coordination Meeting in May 1981 adopted recommended values for certain dimensions, which are presented in Table 2-1. In addition to listing these officially adopted dimensions, Panek (1982a) lists several other derived quantities of interest, which are presented in Table 2-2.

Table 2-1:   Officially Adopted Dimensions for the Large Aperture in Each Spectrograph, Measured on SWP and LWR Images.
  Short Wavelength Long Wavelength
Length of Large Aperture*(arcsec) 21.6 ± 0.4 20.7 ± 1.0
Area of Large Aperture (sq. arcsec) 200 ± 5.0 203 ± 6.0
* 0.8 percent larger than trail length because of orientation of aperture.


Table 2-2:   Additional Spectrograph Dimensions of Interest, Measured on SWP and LWR Images (Panek, 1982a)
  Short Wavelength Long Wavelength
Width of Large Aperture (arcsec) 8.9 ± 0.3 9.3 ± 0.1
Plate Scale ** (arcsec/pixel) 1.51 ± 0.05* 1.50 ± 0.05*
** In the geometrically corrected frame of reference
* Probable upper limit to error


Some of these fundamental quantities in Tables 2-1 and 2-2 differ from the older official values published in Bohlin et al. (1980) and presented in Versions 1.0 and 1.1 of this document. For the purposes of image processing, we continue to utilize the previously quoted plate scale of 1.525 ± 0.01 arcsec/pixel (Bohlin et al. 1980). Coupled with the known separation of the large and small apertures (approximately 40 arcsec in the short wavelength spectrograph and 41 arcsec in the long wavelength spectrograph) and the known geometrical orientation of the apertures (see the discussion of Figures 2-16 through 2-18 below), this implies the aperture separations in the image line and sample directions given in Table 2-3. Prior to 6 August 1979 for the LWR and SWP, and prior to 21 September 1982 for the LWP, different offset values were used in IUESIPS (see Turnrose et al. 1979; Turnrose and Harvel, 1982; Turnrose, 1983; see also Section 6.2.3).

The geometry of the two entrance apertures in relation to the image scan lines and the high and low resolution dispersion directions is shown in Figures 2-16 through 2-18 for the SWP, LWP, and LWR cameras. These figures are drawn in the geometrically corrected frame of reference. Note particularly the fact that the separation of the short wavelength large aperture (SWLA) and the short wavelength small aperture (SWSA) is very nearly along the echelle dispersion direction. Therefore, short wavelength high dispersion images in which both apertures are exposed will result in nearly complete superposition of the large and small aperture spectra (with a wavelength offset). The separation of the long wavelength large aperture (LWLA) and the long wavelength small aperture (LWSA) is less coincident with the echelle dispersion direction, so that superposition of large and small aperture high dispersion spectra in the long wavelength spectrograph is not as serious as it is in the short wavelength spectrograph.

Figure 2-16. SWP Geometry

Figure 2-17. LWP Geometry

Figure 2-18. LWR Geometry

For the purposes of judging the extent and separation of the apertures in the spectral domain, the scales given in Table 2-4 (see Section 6 for their derivation) may be used in conjunction with the quantities in Tables 2-1 through 2-3. Note that in high dispersion the relevant scale for displacements along the dispersion is kilometers per second per pixel, whereas in low dispersion the relevant scale for displacements along the dispersion is angstroms per pixel. These scales are essentially constant across the entire tube face in each dispersion mode.


Table 2-3:   Standard Offsets* from the Small to the Large Spectrograph Aperture, used by IUESIPS (in pixel units)
Camera Sample Offset DeltaS Line Offset DeltaL Total Offset R **
LWP +19.9 +18. 26.9
LWR -18.6 +19.4 26.9
SWP -17.4 -19.7 26.3
SWR TBD TBD TBD
** R = [( Delta L)2 + ( Delta S)2 ]½
* As defined in the geometrically corrected frame of reference. The LWR and SWP values are those used since 6 August 1979; the LWP values are those used since 21 September 1982.





Table 2-4:   Approximate Spectral Scales in Each Dispersion Mode
Camera Low Dispersion (Å /px-1) High Dispersion (km/s-1/px-1)
LWP2.647.22
LWR2.657.23
SWP1.677.70
SWRTBDTBD


2.3 RESOLUTION

The in-flight resolution obtained with the IUE telescope/spectrograph/camera system has been sporadically studied. By Three-Agency agreement a joint program to summarize and codify the existing studies and identify further investigations needed to produce a comprehensive report on the point spread function (PSF) of IUE Spectra is now in progress (see Imhoff, 1983 and 1984a; Cassatella, Barbero, and Benvenuti 1983). The salient results of the studies are presented below; see also Holm (1982).


2.3.1 HIGH DISPERSION (ECHELLE) MODE


2.3.1.1 Resolution in the Dispersion Direction

The results of Boggess et al. (1978), Cassatella, Martin, and Ponz (1981), Cassatella and Martin (1982) and Imhoff (1982,1983, 1984a) indicate the following.

SWP
Boggess et al. (1978) find that for small-aperture Pt-Ne spectra reduced with the old software (see Section 1), the full width at half maximum (FWHM) varies roughly linearly from 0.085 Å at lambda = 1150 Åto 0.19 Å at lambda = 2100 Å. Cassatella, Martin and Ponz (1981) find generally similar results. Cassatella and Martin (1982) give the relationship FWHM = -0.0502 + 1.1898 x 10-4 lambda and note that stellar spectral lines are some 10 to 25 percent broader than the Pt-Ne lines. However, a recent analysis by Evans and Imhoff (1984) indicates that the greater width of the lines in stellar spectra is due to the intrinsic width of the measured interstellar lines. Early work by Penston (1979) indicates that the large-aperture FWHM for stellar sources is about the same as the corresponding small-aperture FWHM; the ratio of large to small aperture widths is 1.010 ± 0.050.

Measurements of the effective FWHM obtained with the new high dispersion reduction software, which eliminates the explicit geometric correction and samples the spectrum twice as frequently as the old software, may be estimated from the small sample of Pt- Ne data plotted in Bohlin and Turnrose (1982). From those data, in SWP the FWHM is ~ 0.08 - 0.10 Å (~ 2.2 - 2.6 pixels) near lambda = 1400 Å and lambda = 1490 Å. Imhoff (1984a) presents more extensive new-software results (see Table 2-5) which indicate that the FWHM values are rather similar to those obtained with the old software.

LWR
In this camera, all studies find the FWHM to be nearly constant with only a slight increase with increasing wavelength; Boggess et al. (1978) find a mean FWHM of 0.2 Å for Pt-Ne lines with the old software. Cassatella and Martin (1982) note that for LWR, stellar spectral lines are some 20 to 35 percent broader than Pt-Ne lines (but note, however, the SWP results referenced above (Evans and Imhoff 1984)). Penston (1979) finds the large-aperture FWHM for point sources to exceed the small-aperture FWHM by a factor of 1.089 ± 0.037.

As for SWP, the plots in Bohlin and Turnrose (1982) may be used to estimate FWHM obtained with the new reduction software: ~ 0.15 Å near both lambda = 1940 Å (3.2 pixels) and lambda = 2430 Å (2.5 pixels). = 1940 Å (3.2 pixels) and lambda = 2430 Å (2.5 pixels). Imhoff (1984a) presents similar and more extensive results which show that higher resolution is obtained with the new software than with the old. Table 2-5 shows that the FWHM obtained with the new software is about 15 percent less than that obtained with the old.

LWP
This camera has only recently come into use, and nearly all spectra have been processed with the new software. Imhoff (1982, 1983, 1984a) reports that the LWP line widths are somewhat less (typically by 0.02 - 0.04 Å) than the LWR line widths for lambda < 2700 Å, about the same for 2700 Å < lambda < 3000 Å, and somewhat broader for lambda > 3000 Å. See Table 2-5.

Table 2-5:   Typical Platinum Line FWHM Values for Old and New Reduction Software (From Imhoff, 1984a)
Order Wavelength LWR(old) LWR(new) LWP(new)
75 3100 Å .24 Å .19 Å .22 Å
83 2800 Å .21 Å .17 Å .17 Å
96 2400 Å .18 Å .16 Å .13 Å
116 2000 Å .17 Å .15 Å .125 Å
Order Wavelength SWP(old) SWP(new)
69 2000 Å .19 Å .19 Å
76 1800 Å .17 Å .16 Å
86 1600 Å .13 Å .12 Å
106 1300 Å .10 Å .09 Å

2.3.1.2 Resolution Perpendicular to Dispersion Direction

Studies relevant to the high dispersion PSF perpendicular to the dispersion include Schiffer (1980), Bianchi (1980), Cassatella, Martin, and Ponz (1981), and de Boer, Preussner, and Grewing (1982). Bianchi (1980) presents empirical fits to the high dispersion order profiles irrespective of camera. Her results are that the FWHM for order m is approximated by 7.23 - 0.04m pixels, where m is the order number, and that the overall order profile can be fitted by a combination of Gaussian and Lorentzian functions. Results of studies directed at specific cameras are summarized below.

SWP
Schiffer (1980) analyzed the order widths in three SWP spectra of t Sco (2 small aperture, 1 large aperture) and found a marked dependence on order number. FWHMs inferred from Schiffer's Gaussian fits to large aperture data range nearly linearly from ~ 3.3 pixels at short wavelengths (orders 95-115) up to ~ 5 pixels at long wavelengths (order 80). Within a given order, the width tends to increase toward the ends of the order. Cassetella, Martin and Ponz (1981) find a similar linear dependence, but with a somewhat smaller overall width for their small-aperture data of RR Tel and Pt-Ne images, which are in reasonable agreement with each other (FWHM ~ 3 pixels at order 80). The dependence of order width on aperture needs further investigation; for his small sample, Schiffer (1980) finds only a 3 to 5 percent reduction in order width through the small aperture.

The above results pertain to the old reduction software; the results of de Boer, Preussner, and Grewing (1982), utilizing custom reduction techniques, are systematically smaller by about 1-2 pixels.

LWR
Cassatella, Martin, and Ponz (1981) find a systematic difference between their Pt-Ne small-aperture data and their large-aperture data for RR Tel, in the sense that the RR Tel FWHMs, ranging from ~ 3 pixels near order 95 to ~ 4.5 pixels near order 70, are ~ 25 percent greater. As for SWP, the de Boer, Preussner, and Grewing (1982) widths are systematically the lowest.
LWP
No study has yet been made for this camera.

2.3.2 LOW DISPERSION MODE

Analyses relevant to this topic include those of Cassatella and Penston (1978), Koornneef and de Boer (1979), Ponz and Cassatella (1981), de Boer and Meade (1981), Panek (1982b), Cassatella and Barbero (1983), and Cassatella, Barbero, and Benvenuti (1983).

2.3.2.1 Resolution in Dispersion Direction

SWP
Holm (1982) reports that Cassatella and Penston (1978) find FWHM = 6.1 Å (3.7 pixels) for the large aperture. Recent work reported by Cassatella, Barbero, and Benvenuti (1983) using the new reduction software indicates a strong dependence of FWHM on wavelength, with a minimum of about 4.5 Å (2.7 pixels) near lambda = 1500 Å and higher values at both wavelength extremes: more than 5 Å (3.2 pixels) at 1300 Å and 7.5 Å (4.5 pixels) at 1900 Å. Cassatella, Barbero, and Benvenuti (1983) also report that the small-aperture FWHM values are, on average, about 8 percent less than large-aperture FWHM values.
LWR
Cassatella and Penston (1978) find FWHM = 9.2 Å (3.5 pixels) in the large aperture, and Ponz and Cassatella (1981) find the large/small aperture FWHM ratio to be 1.17 ± 0.15. The recent work reported in Cassatella, Barbero, and Benvenuti (1983) shows a pronounced dependence of FWHM on wavelength, with a minimum of about 5.7 Å (2.2 pixels) near 2400 Å and larger values at wavelength extremes: 8 Å (3 pixels) at 1900 Å and 6.6 Å (2.5 pixels) at 3100 Å. Small-aperture FWHM values now appear to be insignificantly smaller than large-aperture values for LWR.
LWP
Few data currently exist to report, other than the result cited in Cassatella, Barbero, and Benvenuti (1983) that the LWP resolution is <= 10 percent better than that for LWR.

2.3.2.2 Resolution Perpendicular to Dispersion Direction

SWP
Koornneef and de Boer (1979) find a Gaussian function to be a good approximation to the PSF perpendicular to the dispersion, although Panek (1982b) finds evidence for some asymmetries in the wings of the PSF. Koornneef and de Boer (1979) point out that the perpendicular PSF generally exceeds the PSF parallel to the dispersion direction, although Ponz and Cassatella (1981) conclude from RR Tel data that such is true only for LWR (see below), the perpendicular and parallel PSFs being essentially equal in SWP. Cassatella, Barbero, and Benvenuti (1983) find similar results. de Boer and Meade (1981), Panek (1982b) and Cassatella and Barbero (1983) point out the existence of a significant wavelength dependence to the perpendicular PSF, with a minimum value near lambda = 1350-1400 Å (~ 3.1 pixels with the new software) and higher values at the extremes (~ 3.9 pixels near lambda = 1900 / with the new software). de Boer and Meade (1981) find that with their custom analysis techniques, perpendicular PSFs obtained from images reduced with the old software are ~ 8 percent larger. de Boer and Meade (1981) and Cassatella, Barbero, and Benvenuti (1983) both find little aperture dependence; Cassatella, Barbero, and Benvenuti (1983) quote an average value of 1.00 ± 0.02 for the ratio of large-aperture to small-aperture FWHM perpendicular to the dispersion. Panek (1982b) and Cassatella, Barbero, and Benvenuti (1983) find a wavelength-dependent increase in FWHM with focus step, for step values >= -1.
LWR
Ponz and Cassatella (1981) confirm Koornneef and de Boer's (1979) result that the perpendicular PSF exceeds the parallel PSF; Ponz and Cassatella (1981) quote nearly a 20 percent differential. Cassatella, Barbero, and Benvenuti (1983) find similar, although slightly smaller, differences. de Boer and Meade (1981), Panek (1982b), and Cassatella, Barbero, and Benvenuti (1983) cite significant wavelength dependence. Panek (1982b) and Cassatella, Barbero, and Benvenuti (1983) find the perpendicular FWHM pertinent to the new reduction software to decrease from ~3.5 pixels at 2000 Å to ~2.7 pixels at 3000 Å. de Boer and Meade (1981) find that perpendicular PSFs obtained from images reduced with the old software are ~7 percent larger than PSFs obtained from images reduced with the new software. Although de Boer and Meade (1981) find, as for SWP, little dependence of the perpendicular PSF on aperture, Cassatella, Barbero, and Benvenuti (1983) find the large-aperture value to be systematically somewhat smaller, the average ratio of large-aperture to small-aperture FWHMs being 0.96 ± 0.02.
LWP
Panek (1982b) and Cassatella, Barbero, and Benvenuti (1983) find that overall, the perpendicular PSF wavelength dependence is like that of LWR. Cassatella, Barbero, and Benvenuti (1983) find, however, that the average values are about 9 percent smaller than for LWR. There is some indication that the large aperture FWHM crosses over and exceeds the small aperture FWHM at the longest wavelengths; however, as for LWR, the average ratio of large-aperture to small-aperture FWHMs is 0.96 ± 0.02. Cassatella, Barbero, and Benvenuti (1983) find that the FWHM increases linearly with focus step, for step values >= -1.

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