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 4<br />
15<br />
10<br />
Response<br />
5<br />
0<br />
-0.5 -0.4 -0.3 -0.2 -0.1 0 0.1 0.2 0.3 0.4 0.5<br />
-5<br />
-10<br />
θ x / μrad<br />
0 ± π/2 ± π ± 3π/2<br />
0.40<br />
1 2 3 4<br />
Beamtrain<br />
optics<br />
Planet photon rate / s -1<br />
0.30<br />
0.20<br />
0.10<br />
0.00<br />
0 1 2 3 4 5 6<br />
-0.10<br />
-0.20<br />
Single-mode<br />
spatial filter<br />
-0.30<br />
-0.40<br />
Array rotation angle / radians<br />
Figure 4-3. Chopped dual Bracewell configuration. Lower left – schematic of interferometer;<br />
upper left – section through response on the sky; upper right – response on sky showing star at<br />
central null and planet offset. The planet follows the red locus as the array is rotated about the<br />
line of sight to the star; the corresponding photon rate vs. rotation angle is shown at lower right.<br />
The lower right panel of Figure 4-3 shows the variation of the chopped planet photon rate with the<br />
rotation angle of the array. This characteristic signature depends on the location of the planet relative to<br />
the star. As we change the ‘azimuthal’ offset of the planet, the signature pattern is shifted left or right with<br />
respect to the array rotation angle. Increasing the radial offset of the planet from the star means that the<br />
circular locus in the upper right panel of Figure 4-3 expands and passes through more peaks and valleys<br />
of the response, resulting in a signature pattern with higher ‘frequency’. In general, the data must be<br />
inverted to obtain the fluxes and locations of any planets that are present.<br />
The approach that has been used most commonly to do this is correlation mapping, first suggested by<br />
Angel and Woolf (1997). The principle is described in Figure 4-4. The process is closely analogous to the<br />
Fourier transform used for standard interferometric image synthesis. The cross-correlation process<br />
generates a “dirty map” (a term borrowed from radio synthesis imaging), which must be deconvolved to<br />
extract the point-like planets. The example in Figure 4-4 shows the noise-free dirty map for a single point<br />
source, and therefore represents the point-spread function (PSF) for the array. Because we are dealing<br />
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