01.09.2014 Views

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

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

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

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

13. SEARCH STRATEGY<br />

The high directivities that inevitably accompany<br />

coherent collecting areas many hundreds <strong>of</strong> wavelengths<br />

in diameter, together with the cost <strong>of</strong> replicating the<br />

necessary data processing equipment, force us into a<br />

serial search mode, in which we examine one star at a<br />

time. The fundamental objective <strong>of</strong> the search strategy is<br />

to organize the serial search process in such a way as<br />

to achieve contact in the least time. More precisely, we<br />

wish to maximize the probability <strong>of</strong> having made<br />

contact after any given length <strong>of</strong> search time.<br />

If the <strong>Cyclops</strong> system were to materialize overnight in<br />

its full size, if we had a complete catalog <strong>of</strong> all stars by<br />

spectral type within 1000 light-years <strong>of</strong> the sun, if we<br />

knew the relative probabilities <strong>of</strong> the occurrence <strong>of</strong><br />

advanced life on planets belonging to stars <strong>of</strong> different<br />

spectral types, <strong>and</strong>, finally, if we knew how the<br />

probability <strong>of</strong> detecting a signal decreased with increasing<br />

range, the search strategy would be quite straightforward.<br />

We could then compute an a priori probability<br />

p for the existence <strong>of</strong> a detectable stgnal from any given<br />

star. This probability would be the product <strong>of</strong> a function<br />

f <strong>of</strong> the spectral class S <strong>and</strong> a function g <strong>of</strong> the range R.<br />

That is, we would have<br />

equation<br />

(1) will be<br />

p = kf(S)g(R,t) (2)<br />

This merely means revising our tables <strong>of</strong>p as we go along<br />

<strong>and</strong> working always with the most probable stars on the<br />

most up-to-date list.<br />

At present we do not know the exact forms <strong>of</strong> the<br />

functions f <strong>and</strong> g. Throughout this study we have<br />

assumed, on the basis <strong>of</strong> available knowledge, that f is a<br />

unimodal distribution centered on main sequence stars<br />

<strong>of</strong> spectral class G. This may be an anthropocentric view,<br />

but for the reasons given in Chapter 2 we fend the<br />

assumption quite a logical one. For equally compelling<br />

reasons, the function g may be taken to decrease<br />

monotonically with range. Thus, the model that guides<br />

our thinking may be represented schematically as shown<br />

in Figure 13-1, where we have plotted p vertically as a<br />

..4<br />

p = kf(S)f(R) (1)<br />

/f_ 17<br />

where k is a constant that absorbs such factors as the<br />

longevity <strong>of</strong> the communicative phase. The optimum<br />

search strategy would then be to list all stars in order <strong>of</strong><br />

decreasing p, begin at the top <strong>of</strong> the list, <strong>and</strong> work our<br />

way down.<br />

Because the <strong>Cyclops</strong> system will grow in size with<br />

time, this simple procedure is complicated by the fact<br />

that g will be a function <strong>of</strong> both R <strong>and</strong> t; that is,<br />

Figure 13-1. Contours <strong>of</strong> equiprobable detectability.<br />

4-<br />

155

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!