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Astronomical Spectroscopy - Physics - University of Cincinnati

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– 37 –<br />

bumps and wiggles are present in both the program data as in the flat, and will divide<br />

out. If instead some <strong>of</strong> the bumps and wiggles are due to filters in front <strong>of</strong> the flatfield<br />

lamp, or the extreme difference in color temperature between the lamps and the<br />

object <strong>of</strong> interest, or due to wavelength-dependent variations in the reflectivity <strong>of</strong> the<br />

paint used for the flat-field screen, then one is better <strong>of</strong>f fitting the bumps and wiggles<br />

by using a very high order function, and using the flat only to remove pixel-to-pixel<br />

variations. It usually isn’t obvious which will be better a priori, and really the only<br />

thing to do is to select an object whose spectrum is expected to be smooth (such as a<br />

spectrophotometric standard) and reduce it through the entire process using each kind<br />

<strong>of</strong> flat. It will be easy to tell in the end. The IRAF task for handing the normalization<br />

<strong>of</strong> the flat is response, and the flat field division is handled by ccdproc.<br />

An example is shown in Figure 12. The flat-field has a very strong gradient in the<br />

wavelength direction, and a bit <strong>of</strong> a bend around pixel 825 (about 4020Å). Will one do<br />

better by just normalizing this by a constant value, ascribing the effects to the grating<br />

and spectrograph Or should one normalize the flat with a higher order function<br />

based on the assumption that these features are due to the flat-field system and very<br />

red lamps (Blue is on the right and red is on the left.) The only way to answer the<br />

question is to reduce some data both ways and compare the results, as in Figure 12.<br />

The flat fit by a constant value does a better job removing both the gradient and the<br />

bump. (The spectrum needs to be magnified to see that the bump at 4020Å has been<br />

removed.) Thus the flat was a good reflection <strong>of</strong> what was going on in the spectrograph,<br />

and is not due to issues with the calibration system.<br />

Once one determines the correct normalized flat, it needs to be divided into all <strong>of</strong> the<br />

data. The IRAF task for handling this is again ccdproc.<br />

7. Construct and Use Illumination Function Correction. The non-uniformity in<br />

the spatial direction is referred to as the “slit illumination function” and is a combination<br />

<strong>of</strong> any unevenness in the slit jaws, the vignetting within the focal plane or within<br />

the spectrograph, etc. Most <strong>of</strong> these issues should have been removed by dividing by<br />

the flat field in step 6. Is this good enough If the remaining non-uniformity (relative<br />

to the night sky) is just a few percent, and has a linear gradient, this is probably fine<br />

for sky subtraction from a point source as one can linearly interpolate from the sky<br />

values on either side <strong>of</strong> the object. However, if the remaining non-uniformity is peaked<br />

or more complex, or if the goal is to measure the surface brightness <strong>of</strong> an extended<br />

source, then getting the sky really and truly flat is crucial, and worth some effort.<br />

The cheapest solution (in terms <strong>of</strong> telescope time) is to use exposures <strong>of</strong> the bright<br />

twilight sky. With the telescope tracking, one obtains 3-5 unsaturated exposures,<br />

moving the telescope slightly (perpendicular to the slit) between exposures. To use

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