Some important things to keep in mind about DynamicPSF:
1. DynamicPSF is essentially a function fitting tool. Like any fitting process applied to real world data, PSF fitting has inherent uncertainty. This basically means that, unless you are working with a synthetic noise-free image, you should not expect to get the same results for very similar objects.
2. Meaningful PSF measurements are impossible with nonlinear data. One should always work either with calibrated linear frames, or integrated images.
3. Very dim stars cannot be fitted correctly because most of the PSF wings are below the noise floor.
4. Very bright stars cannot be fitted correctly because either the PSF is truncated (saturation), or the corresponding pixels have values outside the linear range of the sensor. Anti-blooming devices increase this problem.
5. Undersampled images are problematic. If the FWHM is 2 pixels or less, the function fitting process becomes very uncertain because it has to work with few discrete data points.
6. Noisy images are problematic. Noise is uncertainty and high noise means high dispersion, which doesn't help to fit a function accurately.
7. By default, DynamicPSF fits elliptic functions. However, meaningful elliptic function fitting requires well sampled data and relatively low noise. With low-SNR and/or undersampled data, one should always select circular fitting functions.
8. DynamicPSF allows you to sort the list of fitted stars by several criteria. One of these criteria is MAD (mean absolute difference) residuals. This allows you to filter bad or unreliable fittings very easily. You can also sort by FWHM, rotation angle, aspect ratio, etc. Sorting the data is the best and easiest way to remove outliers from the set of fitted stars.
9. The DynamicPSF tool has been
thoroughly documented.
10. The excellent
SubframeSelector and FWHMEccentricity scripts by Mike Schuster apply the DynamicPSF process on hundreds or thousands of automatically detected stars, using robust statistical analysis methods to provide very accurate results.