TPF-I SWG Report - Exoplanet Exploration Program - NASA
TPF-I SWG Report - Exoplanet Exploration Program - NASA
TPF-I SWG Report - Exoplanet Exploration Program - NASA
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C HAPTER 5<br />
Table 5-3. Angular Resolution (FWHM of PSF) of the Stretched X-Array<br />
Array Size<br />
Wavelength<br />
6 μm 10 μm 18 μm<br />
120 × 20 m 4.9 mas 8.2 mas 14.8 mas<br />
612 × 102 m 1.0 mas 1.6 mas 2.9 mas<br />
Here we have assumed that the 6:1 aspect ratio of the array is held fixed, which simplifies the input optics<br />
on the combiner. One design option would be to allow for a variable aspect ratio. The nulling baseline<br />
length would be set according to the angle subtended by the inner habitable zone, and the imaging<br />
baseline would be made as larger as possible. Fore general astrophysics without nulling, the imaging<br />
properties of the stretched X-array are depicted in Fig. 5-26.<br />
5.8.5 Optimized <strong>Program</strong> Completeness<br />
Each star on the <strong>TPF</strong>-I target list has a habitable zone, which scales by luminosity and is defined as the<br />
region around a star in which liquid water could exist. We model the habitable zone by populating this<br />
region with 1,000 pseudo-planets. The pseudo-planets have random inclination, eccentricity over the<br />
range [0, 0.1], and a semi-major axis in the range of 0.75 L ≤ x≤ 1.8 L . The planets are Earth-like in<br />
size and albedo. <strong>Program</strong> completeness is then defined to be the fraction of potentially observable planets<br />
that are detected over a mission. Our algorithm selects the most productive of the <strong>TPF</strong> candidate stars to<br />
observe in each week of the mission. It accounts for multiple visits, solar constraints, variable baselines,<br />
and planet orbital motion, removing many of the assumptions that were necessary in previous analyses.<br />
The procedure for this analysis is shown in Fig. 5-27.<br />
The changes to previous methods of computing completeness include temperature-dependence of the<br />
planet across the habitable zone, a more realistic exozodiacal model, a tapered, wavelength-dependent<br />
representation of the IWA, and the optimization of visit timing. We perform this optimization by<br />
evaluating stars on the completeness per time that is provided by a given observation. We calculate the<br />
curve of completeness vs. integration time fore each star determining the best array size at each point.<br />
Several example curves are shown in Fig. 5-28. The curves start out flat due to overhead and a minimum<br />
integration time needed to observe any pseudo planets. The curves rise and then flatten out at different<br />
levels depending on the stellar type and distance to the star. (the IWA limits the possible planet<br />
observations for stars that are farther.) We define an instantaneous efficiency (change in completeness<br />
per hour, i.e., the red dot indicating the slope of the completeness curve in Fig. 5-28) for all available<br />
stars. The observation time per star is then defined as the time needed to observe the star up to the slope<br />
cut off point (t 1 , t 2 or t 3 in Fig.5-28). The stars are then evaluated on net efficiency (i.e., the green dashed<br />
lines indicating overall completeness per observation time). Those stars with the largest net efficiency are<br />
then selected for a visit.<br />
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