| File | K5_20231008013527_000010_55609_D_ES02_HH_SCS_B_L1A.h5 |
|---|---|
| Acquisition mode | STANDARD |
| Metric | Measured value | Threshold | Result |
|---|---|---|---|
| Z-score | |MERV|/ω = 0.3645 (MERV=-0.0400, ω=0.1097) | PASS ≤ 10 WARN ≤ 15 |
PASS |
| QPE | |QPE| = 0.0141 rad (K=-0.06547, T_a=0.5244s) | PASS ≤ 0.7854 WARN ≤ 1.5708 |
PASS |
| Min Entropy | 17.3957 @ Δv = -0.0400 m/s | Reference only | OK |
Entropy of the image refocused while varying the velocity error (Δv). The point of minimum entropy (green dashed line, MERV) is the velocity error giving the best focus. Blue dots are the global coarse search; the red line is the fine search around the minimum. A MERV close to 0 means the original image is already accurately focused.
Evaluates whether the detected MERV is statistically significant. The red curve is the actual entropy and the black dashed line is a parabolic approximation built from the curvature (κ) at the minimum; the noise level ω is determined from their difference (residual). The green shaded band (±ω) is that noise range. Z-score = |MERV|/ω: if MERV is smaller than the noise range ω (Z-score < threshold), the detected velocity error is indistinguishable from noise, so no real error is assumed and the focus is judged accurate.
Comparison of images refocused at the MERV (best) and at the maximum-entropy point (worst). Top: full image (downsampled); bottom: area around the brightest point target, zoomed in at original resolution (red box). If the point is sharper in best, the focus is good.