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Astronomical Spectroscopy - Physics - University of Cincinnati

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– 43 –<br />

The steps involved in this reduction are straightforward, and when observing stars using<br />

a long slit it is hard to imagine why an astronomer would not have fully reduced data at<br />

the end <strong>of</strong> the night. Carrying out these reductions in real time allows one to see that the<br />

signal-to-noise ratio is as expected, and avoids there being any unpleasant surprises after<br />

the the observing run. The IRAF task doslit was specifically designed with this in mind,<br />

to allow a quick-look capability that was in fact done sufficiently correctly so that the data<br />

reduced at the telescope could serve as the final reduction.<br />

3.1.1. Multi-object techniques<br />

Most <strong>of</strong> what has just been discussed will also apply to multi-object data, be it fibers<br />

or slitlets. There are a few differences which should be emphasized.<br />

For fibers, sky subtraction is accomplished by having some fibers assigned to blank<br />

sky. However, how well sky subtraction works is entirely dependent upon how well the flatfielding<br />

removes fiber-to-fiber sensitivity variations (which will be wavelength dependent) as<br />

well as how well the flat fields match the vignetting <strong>of</strong> a particular fiber configuration. Since<br />

the vignetting is likely to depend upon the exact placement <strong>of</strong> a fiber within the field, the<br />

best solution is to either model the vignetting (as is done in the Hectospec pipeline) or to<br />

make sure that flat fields are observed with each configuration. For some telescopes and<br />

instruments (such as CTIO/Hydra) it is more time efficient to simply observe some blank<br />

sky, making a few dithered exposures near the observed field.<br />

For multi-slits one <strong>of</strong> the complications is that the wavelength coverage <strong>of</strong> each slitlet<br />

will depend upon its placement in the field, as discussed above in § 2.4.1. This results in<br />

some very challenging reductions issues, particularly if one plans to flux-calibrate. Consider<br />

again the IMACS instrument (§ 2.4.1). There are eight chips, each <strong>of</strong> which will have its own<br />

sensitivity curve, and even worse, the wavelength coverage reaching each chip will depend<br />

upon the location <strong>of</strong> each slitlet within the field. The perfect solution would be to observe<br />

a spectrophotometric standard down each <strong>of</strong> the slits, but that would hardly be practical.<br />

Flux calibrating multislit data is hard, and even obtaining normalized spectra can be a bit<br />

<strong>of</strong> a challenge.<br />

3.1.2. NIR techniques<br />

When reducing near-infrared spectra, the basic philosophy outlined in § 3.1 for the<br />

optical generally applies. But there are two significant differences between the infrared and

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