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Project Cyclops, A Design... - Department of Earth and Planetary ...

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<strong>Cyclops</strong>wouldbesolvedbydesigning aninstrument to<br />

worknotonsinglestarsbutratheronstar.Seldsasin<br />

UBVphotometry<strong>and</strong>objectiveprismspectroscopy.<br />

Suchaninstrumentwouldsimplybe positioned to a<br />

succession <strong>of</strong> fieldschosentocovertheentireskyvisible<br />

fromthe<strong>Cyclops</strong> site. The coordinates <strong>of</strong> any star would<br />

then be determined from the known direction <strong>of</strong><br />

sighting (i.e., the direction <strong>of</strong> the center <strong>of</strong> the field) <strong>and</strong><br />

the position <strong>of</strong> the star image in the field. The positions<br />

<strong>of</strong> known stars could be checked to eliminate systemic<br />

errors. Because the light from as many as a few thous<strong>and</strong><br />

stars would be integrated simultaneously, the total<br />

integration time would be correspondingly reduced<br />

If dichroic mirrors were used to split the received<br />

light, different spectral regions could be integrated<br />

simultaneously in a bank <strong>of</strong> camera tubes, each having a<br />

photosurface optimized for the spectral ranges involved.<br />

Interference filters could be used to select narrow<br />

regions <strong>of</strong> the spectrum, <strong>and</strong> prisms could, be used to<br />

disperse these regions. Thus, a wide variety <strong>of</strong> spectral<br />

analysis methods is at our disposal. It is not clear<br />

without extensive further study just what combination<br />

<strong>of</strong> techniques <strong>and</strong> what combination <strong>of</strong> spectral regions<br />

or spectral lines would be most effective in selecting our<br />

desired target stars <strong>and</strong> discriminating against giants <strong>and</strong><br />

reddened interlopers.<br />

One definite possibility is to use four (or more)<br />

spectral regions in a direct photoelectric photometry<br />

mode to make an initial screening <strong>of</strong> the stars in each<br />

field. If, through suitable calibration procedures the<br />

measurement errors in the various spectral b<strong>and</strong>s can be<br />

held to -+0.01 magnitude (_ -+1%), good correction for<br />

reddening should be possible <strong>and</strong> the size <strong>of</strong> the<br />

confused region for late G <strong>and</strong> K stars should be greatly<br />

reduced. This should permit rapid classification <strong>of</strong> the<br />

stars in a given field into three categories-target,<br />

doubtful, <strong>and</strong> nontarget-with only a small fraction<br />

falling in the doubtful category. These could then be<br />

examined spectroscopically using several telescopes <strong>of</strong><br />

the type described earlier, while the next star field is<br />

being classified photometrically.<br />

Another possibility is that several appropriately<br />

chosen wavelengths would permit the unambiguous<br />

classification <strong>of</strong> all stars in the field on one pass. If so,<br />

such a procedure might be preferable even if longer<br />

integration times are needed. For the present we can<br />

only conclude that:<br />

160<br />

1. No rapid method <strong>of</strong> preparing a clean target list<br />

for <strong>Cyclops</strong> exists at the present time.<br />

2. Promising techniques do exist, <strong>and</strong> it appears<br />

likely that with adequate study <strong>and</strong> development,<br />

a satisfactory automated system could be<br />

designed.<br />

3. Classification <strong>of</strong> all stars within 300 pcs <strong>of</strong> the Sun<br />

would be <strong>of</strong> considerable value in refining our<br />

knowledge <strong>of</strong> stellar evolution <strong>and</strong> is therefore <strong>of</strong><br />

merit in itself.<br />

4. Consideration should be given to funding a program<br />

to develop an automated system <strong>of</strong> rapid<br />

accurate stellar classification irrespective <strong>of</strong> the<br />

imminence<br />

<strong>of</strong> <strong>Cyclops</strong>.<br />

THE OPTICAL-ELECTRONIC<br />

INTERFACE<br />

Assuming that a suitable optical spectrum analysis<br />

technique can be developed, a few problems remain in<br />

transforming the optical information into digital form.<br />

Once the information is stored digitally the analysis can<br />

proceed rapidly <strong>and</strong> reliably with well-known data<br />

processing techniques; but first we must get the information<br />

into a proper digital format without significant<br />

loss <strong>of</strong> accuracy.<br />

The first problem is one <strong>of</strong> dynamic range. If we are<br />

examining stars down to magnitude 16 we must accommodate<br />

a brightness range <strong>of</strong> 2.5 million to 1. This is<br />

beyond the capabilities <strong>of</strong> any camera tube. If we can<br />

assume that all stars down to magnitude 6 are already<br />

known <strong>and</strong> classified, we are left with a magnitude range<br />

<strong>of</strong> 10 or a brightness range <strong>of</strong> 10,000 to 1. Good<br />

noise-free linear integration can be obtained over at least<br />

a i 0 to 1 brightness range. Thus, we will need to take at<br />

most four exposures <strong>of</strong> the same field differing in<br />

successive exposure times by at least 10 to 1. Assuming<br />

the readout time is negligible, this procedure increases<br />

the observing time by i1.1 percent over that required<br />

for the longest exposure alone <strong>and</strong> so causes no real<br />

difficulty. However, the s<strong>of</strong>tware logic must be designed<br />

to ignore images that have already been analyzed, or that<br />

represent inadequate or overload amounts <strong>of</strong> integrated<br />

signal.<br />

The second problem is to convert the analog information<br />

stored in the camera tubes into digital information<br />

in computer memory in such a way that precise<br />

positional <strong>and</strong> amplitude information is retained in spite<br />

<strong>of</strong> the discrete nature <strong>of</strong> a raster scan. To do this, the<br />

spacing between successive scanning lines must be small<br />

compared with the image <strong>of</strong> any star as limited by<br />

atmospheric blurring or diffraction-that is, the scanning<br />

line spacing <strong>and</strong> the spacing <strong>of</strong> data samples taken along<br />

each line should be small compared with 1 sec <strong>of</strong> arc.<br />

A complete field would then be scanned, sampled,<br />

converted to digital form, <strong>and</strong> stored in a temporary<br />

memory. Assuming 1/4 sec <strong>of</strong> arc spacing between<br />

samples <strong>and</strong> 8 bit (256 level) quantization, 1.6× 10 9 bits

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