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View Code? Open in Web Editor NEWAnalysis of Cramer-Rao bound Saturation by various star centroiding methods in the faint limit
Analysis of Cramer-Rao bound Saturation by various star centroiding methods in the faint limit
with a non-box label (just use text
) in the lower-right
regarding ref last comment: write a simple test to assess the effect of nearby sources on saturating crlb
@mjvakili can you fix these bugs?
Or else add a Makefile such that the paper builds with "make".
! Undefined control sequence.
l.107 ...n of the parameters of the PSF model (\eg
size),
! Undefined control sequence.
<recently read> \Boldsymbol
l.155 related to $B$ model parameters $\Boldsymbol
{\mathbf{\theta}} = (\thet...
! Extra }, or forgotten $.
l.290 ...e---SNR is approximately given by $0.664}
/(\sigma\gamma)$.
?
! Undefined control sequence.
l.319 For PSF profiles with shorter tails (\eg
Gaussian), the prefactor of 0...
! LaTeX Error: Lonely \item--perhaps a missing list environment.
l.331 \item{
\bf Matched filter polynomial centroiding}\quad Let us consider...
?
! LaTeX Error: Lonely \item--perhaps a missing list environment.
l.410 \item{
\bf Default polynomial centroiding}\quad In the case that
?
! LaTeX Error: Lonely \item--perhaps a missing list environment.
l.436 \item {
\bf Center-of-light centroiding}\quad In addition to the methods
! Package pdftex.def Error: File `snr_psffitting.png' not found.
l.660 ...ics[width=\linewidth]{snr_psffitting.png}
! Package pdftex.def Error: File `snr_psfpoly.png' not found.
l.670 ...aphics[width=\linewidth]{snr_psfpoly.png}
! Package pdftex.def Error: File `snr_psfpix28poly.png' not found.
l.680 ...s[width=\linewidth]{snr_psfpix28poly.png}
! Package pdftex.def Error: File `snr_moment.png' not found.
l.687 ...raphics[width=\linewidth]{snr_moment.png}
! Package pdftex.def Error: File `fwhm_psf.png' not found.
! Package pdftex.def Error: File `fwhm_psfpoly.png' not found.
! Package pdftex.def Error: File `fwhm_psfpix28poly.png' not found.
! Package pdftex.def Error: File `fwhm_moment.png' not found.
So I more or less, realized what my mistake was. But I though I might ask you anyways:
Line 129 of the module sdss.py in src directory, is where I defined the smoothing kernel:
kernel = profile.makeGaussian(size , f , 0 , np.array([zero,zero])).
If you use this kernel, and convolve the image with it
smoothed_image = signal.convolve2d(data , kernel , mode = "same")
you'll get pretty accurate results.
But, I also tried this:
kernel = profile.makeGaussian(size , f , 0 , position of the brightest_pixel),
which after smoothing, gave me those outliers in the bias-S/N scatter plot.
derive an analytical formula for Cramer-Rao lower bound in the presence of background sky residual
For each scatter plot, for each method:
@davidwhogg : Can you give me the grant numbers?
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