MAOS
Multithreaded Adaptive Optics Simulator
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Functions | |
dsp * | mkhb_cubic (const loc_t *locin, const loc_t *locout, real displacex, real displacey, real scale, real iac) |
dsp * | mkh_cubic (const loc_t *locin, const loc_t *locout, real displacex, real displacey, real scale, real iac) |
dsp * | mkhb (const loc_t *locin, const loc_t *locout, real displacex, real displacey, real scale) |
dsp * | mkh (const loc_t *locin, const loc_t *locout, real displacex, real displacey, real scale) |
dsp * | mkhbin1d (const dmat *xin, const dmat *xout) |
Contains functions that create ray tracing operator
dsp* mkhb_cubic | ( | const loc_t * | locin, |
const loc_t * | locout, | ||
real | displacex, | ||
real | displacey, | ||
real | scale, | ||
real | cubic_iac | ||
) |
Create transpose of ray tracing operator from locin to locout using cubic influence function that can reproduce piston/tip/tilt.
dsp* mkh_cubic | ( | const loc_t * | locin, |
const loc_t * | locout, | ||
real | displacex, | ||
real | displacey, | ||
real | scale, | ||
real | cubic_iac | ||
) |
Transposes the result from mkhb_cubic.
Create transpose of mkh() result.
Create ray tracing operator from coordinate locin to locout. Locin is required to be evenly spaced.
If vector Pin is defined on locin, Pout is defined on locout, H=mkh(locin, locout, ...), Pout=H*Pin does the bilinear interpolation.
If locin->iac is non zero, will call mkh_cubic to produce a cubical interpolation.
A cubic influence function that can reproduce piston/tip/tilt is coined by Ellerbroek to model the piezostack DM actuator. The influence has the form
\[ h(x;x_{i};\delta)=h_{0}((x-x_{i})/\delta) \]
where \(\delta\) is the same as the grid spacing, and \(h_{0}\) is the influence function defined in the normalized coordinates
\begin{eqnarray*} h_{0}(x)=\frac{1}{1+2c}\begin{cases} 1+(4c-\frac{5}{2})|x|^{2}+(\frac{3}{2}-3c)|x|^{3} & |x|\leq1\\ (2c-\frac{1}{2})(2-|x|)^{2}+(\frac{1}{2}-c)(2-|x|)^{3} & 1<|x|\leq2\\ 0 & |x|>2\end{cases}\end{eqnarray*}
where c is the nearest neighbor coupling frequency. The leading coefficient is to normalize the influence function so that it sums to 1.