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EJASA - Part 5Table 2, Line 26 - This is the bottom line, showing the SNR (CNR) normalized to a 1 Hz bandwidth. The 34 dB CNR for the 656 nm system corresponds to a photon detection rate of 2,640 per second (Equ. 36). For practical Professional Optical SETI searches, we should be looking for signals with minimum bandwidths of about 100 kHz. As long as the Signal-To- Planck and Signal-To-Daylight ratios are larger than the quantum SNR, the former do not reduce the system performance. It should be noted that at a frequency of 1.5 GHz (wavelength = 20 cm), the full 6.4-kilometer diameter microwave Cyclops Project [5], which in 1971 would have cost about ten billion dollars, only achieves an SNR of 60 dB (see Table 1, Page 19). This is about 26 dB greater than for a 10-meter diameter symmetrical visible system. Other than the fact that interstellar absorption at microwave frequencies for distances in excess of a few thousand light years is significantly less than in the visible spectrum, the Microwave Cyclops system has little to commend it for communications within the solar Page 27 neighborhood, particularly as the cost of the receiver is about one hundred times that of a single-aperture ground-based optical counter- part. This is good grounds for thinking "small is beautiful". For some strange reason, while free-space laser communications appears to be fine for future terrene GEO (Geosynchronous Earth Orbit) to LEO (Low Earth Orbit) and deep-space communications (much of this work is being coordinated by NASA [63-66]), the SETI community appears to be convinced that ETIs would not use such technology for interstellar communications! This is illogical. A presently favored operating wavelength for terrene free-space communications systems is 530 nm (green), obtained by frequency-doubling the 1,060 nm wavelength produced by a laser-diode pumped Nd:YAG laser. As previously mentioned, terrene SETI programs appear to have been distorted by poor assumptions in the Cyclops study (see Table 1, Page 19). [5] As we showed earlier, the efficacy of the optical approach was severely hampered by constraining the near-infrared transmitting telescope size to 22.5 cm. It boggles the mind to think that ETIs would be trying to contact us with their equivalent of a Celestron or Meade telescope. This would put the onus on us to build very large and expensive multi-aperture receiving telescopes to pick up their weak signals; surely the very opposite would be the case! The Cyclops study was unable even to predict the rise in ascendancy of the ubiquitous semiconductor chip over the following five years, and the effect it would have on SETI signal processing, even though integrated circuits were being developed in the editors' backyard! Present-day experimental ground-based free-space communications links are already using receiving telescope apertures as large as 1.5 meters. [66] Since the overall performance of symmetrical systems is proportional to the telescope diameter raised to the sixth to eighth power (allowing for power density limitations due to heating effects at the transmitter mirror), poor estimations about transmitting and receiving telescope apertures can drastically skew a comparative systems analysis. In practice, transmitting and receiving telescopes are likely to be extremely asymmetric. If we do discover an optical ETI signal in the next few decades, it will probably be found to have been transmitted by a huge optical array, while our receiving antenna will be a relatively puny telescope. Figure 4 shows a graph of received signal spectral density, superimposed on the Planckian spectral density curve for a (solar-type) black body radiator at a temperature of 5,778 K. The microwave system performance shown in this graph is based on the 300-meter diameter Arecibo telescope; producing a CNR some 19 dB greater than for the 100-meter radio telescope system modelled in Table 2 (Page 22). The reader is encouraged to compare this graph to that given in FIRST CONTACT [26] (Chapter 4, Page 151, by Dr. Michael Klein). The first impressions from that graph (Figure 1 of Chapter 4) is again that optical communications are useless. This is far from the truth. Indeed, the graph is very misleading. One might be forgiven for thinking that in this model the ETIs are using Compact Disc-type laser-diodes and/or hobby model-type telescopes! The assumed Page 28 Spectral Density, W/m^2.Hz | 10^-15 | | EIRP = 2.3 X 10^18 W 23rd Mag. | * | EIRP = 8.7 X 10^15 W * CNR = 34 dB | * * . 10^-20 | CNR = 22 dB * *. Quantum | *. * Noise | . * * | * #656 nm Beacon | EIRP = 2.2 X 10^10 W * # | #(10 m Dia.) 10^-25 | * 10,600 nm Beacon # | | | * CNR = 20 dB (10 m Dia.) # |V| # | . .*. . . . . . . # |I| 2nd Mag. | * Temp. = 10 K # ^ |S| #Starlight | * # | |I| 10^-30 | * # Planckian |B| # | * # Black Body |L| | # 1.5 GHz Beacon Curve |E| # | # (300 m Dia.) | | |# |L| # 10^-35 | |I| | |G| # | |H| | Microwave Millimeter Infrared |T| Ultra # | | | Violet 10^-40 ---------------------------------------------------------------- 10^8 10^9 10^10 10^11 10^12 10^13 10^14 10^15 10^16 Frequency, Hz Figure 4 - Spectral density and interstellar CNR for 1 kW (SETI) signals at ten light years. Quantum Efficiency at Visible and Infrared = 0.5. Microwave system is based on 300-meter diameter Arecibo-type telescopes. Optical systems are based on perfect 10-meter diameter telescopes as modelled in Table 2. The Carrier-To-Noise Ratios (CNRs) are normalized to a 1 Hz bandwidth. The EIRP of a solar-type star = 3.9 X 10^26 W, and has an apparent magnitude equal to 2.2. optical EIRPs are much too low. Also, the graph is plotted in terms of EIRP, and therefore exaggerates the efficacy of the microwave approach for an electronic receiver (instead of an observer), because it does not show the typical 10 K noise floor of a high-quality microwave receiver, only the radio brightness of a quiet G-type star. The latter is about 54 dB beneath the 10 K systems noise floor, as shown in Figure 4, and could only be detected after considerable signal integration. At 1.5 GHz, it is generally the Cosmic Background, i.e., the 2.73 K aftermath of the theoretical Big Bang, and the electronic noise in the microwave front-end that limits signal detectability, not Planckian radio noise from the star. Page 29 LASERS Table 3 gives a list of many of the more important laser types presently known. [79] As previously mentioned, the CO2 wavelength of 10,600 nm has been identified as an "optical magic wavelength". [46-47,51-53,57] However, there are many laser wavelengths in the visible and infrared spectrums that might be suitable for ETI trans- mitters and local-oscillators. We should not discount the possibility that ETIs may use efficient frequency-doubled lasers, so we might consider exploring the visible spectrum for near-infrared lasers at half the wavelengths quoted below. For example, the 532 nm wavelength corresponding to the frequency-doubled Nd:YAG 1,064 nm transition may be a suitable wavelength; one that is presently favored for terrene optical communications. ===================================================================== | Table 3 Important laser types and wavelengths | |=====================================================================| | Type | Wavelength (nm) | |----------------------------------|----------------------------------| | Free-Electron | Ultra-violet to far-infrared* | | Krypton-Fluoride Excimer | 249 | | Xenon-Chloride Excimer | 308 | | Nitrogen Gas (N2) | 337 | | Organic Dye (in solution) | 300-1,000 (tunable)** | | Krypton Ion | 335-800 | | Helium-Cadmium | 422.0 | | Argon Ion | 450-530 (main lines 488 & 514.5) | | Helium Neon | 543, 632.8, 1,150 | | Semiconductor (GaInP) | 670-680 | | Ruby | 694 | | Semiconductor (GaAlAs) | 750-900 | | Neodymium YAG | 1,064 | | Semiconductor (InGaAsP) | 1,300-1,600 | | Hydrogen-Fluoride Chemical | 2,600-3,000 | | Semiconductor (Pb-salt) | 3,300-27,000 (tunable)** | | Deuterium Fluoride | 3,600-4,000 | | Carbon Monoxide | 5,000-6,500 | | Carbon Dioxide (CO2) | 9,000-11,400 (main line 10,600) | ===================================================================== * Extremely high peak powers available within the decade (> 100 GW). ** Suitable for wide-tunability receiver local-oscillators. Carbon Dioxide and Semiconductor lasers are very efficient. In addition to the types listed above, there are a variety of chemical lasers, including: Iodine, Hydrogen Bromide, Xenon Hexafluoride, Uranium Hexafluoride, and Sulphur Hexafluoride. These chemical lasers are efficient and very powerful. Lasers like the Helium-Cadmium and Helium-Neon can be discounted because of their very poor efficiency and low power, even though their temporal coherence is excellent. Similarly, the original Ruby laser is Page 30 ===================================================================== | Table 4 The most intense Fraunhofer lines from the Sun{1} | |=====================================================================| | Wavelength, nm Bandwidth, nm Bandwidth, GHz Element | |---------------------------------------------------------------------| | 410.1748 0.3133 558.7 H_delta | | 413.2067 0.0400 71.0 Fe I{2} | | 414.3878 0.0466 81.4 Fe I | | 416.7277 0.0200 34.5 Mg I | | 420.2040 0.0326 55.4 Fe I | | 422.6740 0.1476 247.9 Ca I | | 423.5949 0.0385 64.4 Fe I{2} | | 425.0130 0.0342 56.8 Fe I{2} | | 425.0797 0.0400 66.4 Fe I{2} | | 425.4346 0.0393 65.1 Cr I{2} | | 426.0486 0.0595 98.3 Fe I | | 427.1774 0.0756 124.3 Fe I | | 432.5775 0.0793 127.1 Fe I{2} | | 434.0475 0.2855 454.6 H_gamma | | 438.3557 0.1008 157.4 Fe I | | 440.4761 0.0898 138.9 Fe I | | 441.5135 0.0417 64.2 Fe I{2} | | 452.8627 0.0275 40.2 Fe I{2} | | 455.4036 0.0159 23.0 Ba II | | 470.3003 0.0326 44.2 Mg I | | 486.1342 0.3680 467.2 H_beta | | 489.1502 0.0312 39.1 Fe I | | 492.0514 0.0471 58.4 Fe I{2} | | 495.7613 0.0696 85.0 Fe I{2} | | 516.7327 0.0935 105.1 Mg I{2} | | 517.2698 0.1259 141.2 Mg I | | 518.3619 0.1584 176.9 Mg I | | 525.0216 0.0062 6.7 Fe I{3} | | 526.9550 0.0478 51.6 Fe I{2} | | 532.8051 0.0375 39.6 Fe I | | 552.8418 0.0293 28.8 Mg I | | 588.9973 0.0752 65.0 Na I(D2){2} | | 589.5940 0.0564 48.7 Na I(D1) | | 610.2727 0.0135 10.9 Ca I | | 612.2226 0.0222 17.8 Ca I | | 616.2180 0.0222 17.5 Ca I | | 630.2499 0.0083 6.3 Fe I{3} | | 656.2808 _____________ 0.4020 ________ 280.0 ________ H_alpha | | 849.8062 0.1470 61.1 Ca II | | 854.2144 0.3670 150.9 Ca II | | 866.2170 0.2600 104.0 Ca II | ===================================================================== Table reproduced from "Astrophysical Formulae", edited by K.R. Lang, Springer-Verlag, 1978, p. 175. [90] {1} After MOORE, MINNAERT, and HOUTGAST. {2} Blended line. {3} Magnetic sensitive line. Page 31 inefficient and low power. Probably, one of the more important considerations for an ETI transmitting laser is that it should be capable of being deployed in space, be able to produce extremely high C.W. or pulse powers, and be nuclear or stellar (solar) pumped. Organic dye lasers are suitable for local-oscillators, with their wide tunability and narrow linewidth (< 5 kHz). Lead-salt semi- conductor lasers are suitable for infrared local-oscillators. FRAUNHOFER LINES Table 4 is a list of the most intense Fraunhofer lines from the Sun and their effective bandwidths. The H_alpha Hydrogen line upon which the visible Optical SETI model is based, has a wavelength of 656.2808 nm (frequency = 4.57 X 10^14 Hz), and an effective linewidth or bandwidth of 0.402 nm (280 GHz). [88-90] The actual FWHM linewidth is somewhat less that 280 GHz. THE OPTICAL SEARCH An "All Sky Survey" of the type planned for the Microwave Observing Project (MOP), which pixelizes the entire celestial sphere, does not make sense in the optical regime. [40-45] The 10^16 beams (Equ. 20) for a diffraction limited 10-meter diameter visible-wavelength telescope are mainly wasted looking out into empty (local) space. For a celestial sphere one thousand light years in radius, containing one million solar-type stars, the average angular separation between stars is 0.23 degrees (see Figure 10). A 34-meter diameter radio telescope at 1.5 GHz has a typical field-of-view (FOV) of 0.41 X 0.41 degrees, and thus, on average, its FOV encompasses several stars. It is efficient when conducting a radio "All Sky Survey" to continuously scan the celestial sphere in consecutive or adjacent strips or sectors. The 10-meter diameter Professional 656 nm Optical SETI Telescope would have a typical FOV = 0.33 X 0.33 degrees and a 128 X 128 photodetector array FOV = 2.1" X 2.1". Since the average separation between stars is 0.23 degrees, the average number of stars in the optical array FOV is 6.4 X 10^-6. Thus, the narrow diffraction-limited field-of-view means that for most of the time the optical detector(s) would be viewing empty space. A similar situation prevails for the smaller, single detector amateur optical telescopes to be discussed later. The argument has been advanced by Dr. Bernard Oliver, in correspondence with the author and at the author's SETI Institute talk, that because an "All Sky Survey" would be out of the question at optical frequencies, this implies that ETIs would not use these frequencies. The author's response to this is that there is nothing "holy" about the "All Sky Survey" approach. What we may wish to do is to have a Targeted Search of tens of thousands of stars, instead of a mere eight hundred as presently planned for MOP (see Page 11). However, each time we wish to scan another star in the frequency domain, we will move the Page 32 telescope to an adjacent sector of the sky that contains the desired object. While there is the possibility that ETI transmitters exist in the interstellar voids, far from their home stars, the author thinks that this scenario is unlikely (except perhaps within our own solar system, i.e., von Neumann-type probes), if for no other reason than it would place the energy-intensive transmitters far from a "cheap" and plentiful energy source. One of the many objections made to the optical approach to SETI is that there are just too many frequencies to search. As Figure 5 illustrates, under the author's rationale, this is more a perception than a reality because of the wider signal bandwidths assumed. 21-cm Water-Hole Channel or Bin | | ------------------------------------------------------------------ | * # | | * MICROWAVE HAYSTACK # | | * # | ------------------------------------------------------------------ | | --> <-- | 1 GHz 10 GHz 1 Hz 100 GHz Number of 1 Hz frequency channels or bins between 1 GHz and 10 GHz = 9 Billion. 10,600 nm 656 nm | | ------------------------------------------------------------------ | * # * | | * OPTICAL HAYSTACK # * | | * # * | ------------------------------------------------------------------ | | --> <-- | 10 THz 100 THz 100 kHz 1,000 THz Number of 100 kHz frequency channels or bins between 20 THz and 920 THz = 9 Billion. Figure 5 - The Microwave and Optical Cosmic Haystack frequency domains. This demonstrates that the number of frequencies to search in the microwave and optical haystacks are of similar magnitude. Wide bandwidth means that laser linewidths, Doppler shifts, and chirps (drifts) are less significant, and the number of frequencies to search in the optical spectrum is more manageable. Just because visible frequencies are over five orders of magnitude higher than Page 33 microwave frequencies does not mean that there are over 10^5 more frequencies to search in the optical frequency domain. The modulation bandwidth of proposed optical ETI signals as a percentage of the carrier frequency may be as large or larger than the percentage modulation bandwidth of proposed microwave ETI signals. In fact, assuming minimum bin bandwidths of 100 kHz, the number of frequencies to search in the entire optical spectrum may not be much greater than the number of 1 Hz frequencies between 1 and 10 GHz, i.e., nine billion! This is illustrated diagrammatically in Figure 5. This clearly has important ramifications in terms of the search time. The reader should note that for a drifting carrier signal, i.e., one subjected to Doppler Chirp, the optimum detection bandwidth is equal to the square root of the frequency drift rate. [5,8] This assumes that the local-oscillator laser is not de-chirped. Thus, the optimum bandwidth for a monochromatic 1.5 GHz signal drifting at a local Doppler Chirp rate of 0.17 Hz/s (see Table 2, Line 30, Page 22) is about 0.4 Hz, while for a monochromatic 656 nm signal drifting at 51 kHz/s, the optimum bandwidth is 226 Hz. If the bin bandwidth is excessive, too much system noise is detected, and the CNR is degraded. On the other hand, if the bin bandwidth is too small, the response time of the filter (approximately 1/Bif) is insufficient to respond to all the energy in the signal as it sweeps by, again leading to a reduction in CNR and detectability. It is an interesting exercise to estimate the time that would be required at visible wavelengths for both an All Sky Survey and a Targeted Search. We will assume the use of a 10-meter diameter receiving telescope, a 128 X 128 photodetector array (16,384 pixels), and initially, a single 10 GHz bandwidth Multi-Channel Spectrum Analyzer (MCSA) that sequentially samples all 16,384 photodetectors. These MCSAs could have final bin bandwidths of about 100 kHz. At this time, 10 GHz MCSAs do not exist, and the state-of-the-art for single- chip devices employed in Microwave SETI is about 10 MHz. However, it is only a question of time before these more powerful 10 GHz devices are developed. For the purposes of this brief analysis we shall not concern ourselves with the huge amount of data storage that must be provided, or the data reduction time overhead required. Equ. 20 (Page 81) shows that the number of received beams for such a telescope is about 10^16. Since the minimum sampling time per pixel for a 10 GHz bandwidth is 100 ps, the time to sample the entire array of 16,384 instantaneous beams is 1.64 microseconds. The number of array sets of beams in the celestial sphere consisting of 10^16 beams is 6.1 X 10^11. Thus, the time just to "look" at one 10 GHz wide band of the visible spectrum, assuming that a continuous scan of the sky could be made with no dead time or overlap, is 10^6 s, i.e., 11.6 days! This is a substantial amount of time for a single band just 10 GHz wide. Since there are 42,857 bands of 10 GHz bandwidth between 350 nm and 700 nm, the time required to search the entire sky and all visible frequencies, is at a minimum, 1,360 years! Even if we had 128 parallel MCSAs (don't even consider having 16,384 - 10 GHz MCSAs!), the Page 34 time to search even a 10 GHz band is long, notwithstanding the "slight" data storage problem. Clearly, we can forget about this form of optical All Sky Survey, since it is a grossly inefficient way of scanning or pixelizing the sky. Almost all the data bins will be empty bins, having been derived from beams pointing to empty (near) space. The situation for an Optical All Sky Survey is actually much worse than just implied, due to the additional time that each pixel must be sampled to ensure a high probability of detecting the fewer, but more energetic optical photons - more about this in a moment. On the other hand, if we only consider a Targeted Search, the time required is much shorter and allows for the search to be done across the entire optical spectrum, not just at selected laser frequencies or Fraunhofer lines. As we have just seen, if the photon arrival rate is sufficiently high, the time with a single 10 GHz MCSA for a single scan of the entire array is 1.64 microseconds. To scan for one star over the entire 350 nm to 700 nm band would take 0.070 seconds (assuming suitable L.O. lasers). This is a trivial amount of time, and the amount of data that has to be collected and stored is relatively insignificant. Indeed, it is the time to do the FFTs and move the telescope to a new position that will be the most significant overheads here. The above times are highly optimistic because the basic flux sensitivity of any kind of receiver, be it microwave or optical, depends on the sampling or integration time. Hence, before we can estimate the realistic length of time for a given search, we must decide what are the minimum detectable flux levels that we wish to detect. This, in turn, will determine the minimum sampling time for each pixel. Usually, SETI minimum detectable flux estimates are based on integrating a very weak signal for a period of time, and not for providing sufficient SNR to allow actual demodulation. We must also decide if we want to model a system based on short pulses or on continuous wave (C.W.) signals. Of course, it is extremely unlikely that the signal flux would be sufficiently high to allow for a high probability of detecting the photons in a sampling bandwidth of 10 GHz. In reality, our minimum MCSA bin bandwidths would be about 100 kHz, and the sampling (integration) time is at least a factor of 10^5 longer. For the purposes of this further analysis, we shall assume a C.W. signal and a 100 kHz minimum bin bandwidth, so that the pixel sampling time is now 10 us. For our 10-meter diameter 656 nm symmetrical heterodyning telescope system, we can estimate the minimum detectable signal flux density by calculating the flux required to reduce the CNR to 0 dB. We have already shown (Table 2, Line 12, Page 22), that a flux intensity of 2.04 X 10-^17 W/m^2 will produce a CNR = 34 dB re 1 Hz. Therefore, in a 100 kHz bandwidth, the CNR will be -16 dB. To increase the CNR to 0 dB means that the intensity must be increased by 16 dB to 8.12 X 10^-16 W/m^2. Thus, the minimum detectable signal flux for this bandwidth and sampling rate is 8.1 X 10^-16 W/m^2. This is equivalent to saying that during the 10 microsecond sampling time, if an ETI signal is present on one pixel, we would have a reasonable probability of detecting one photon (Equ. 36). This signal flux would be produced by a ten meter diameter transmitter at a range of ten light Page 35 years, with a power of 16 dB re 1 kW, i.e., 40 kW. This is a trivial amount of power for an ETI. Continued
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