up

sections/biasStability.rst

@@ -51,14 +51,14 @@ In order to highlight the 2D shape differences, a 2D-overscan correction is appl
 
    15-s dark exposure, run E2136 after a 3-minute delay, R33 S02
 
-In order to quantify the number of e2v instable amplifiers, a stability metric *d* is defined from the eo_pipe stability task data products. More precisely, *d* is defined, for a given amplifier in a given run, as the difference between the 5th and 95th percentiles of the image mean over all the exposures. The distribution of *d* for run E2136 is shown below. Applying a threshold at 0.3, 51 amplifiers are identified as instable (see the corresponding mosaic).
+In order to quantify the number of e2v instable amplifiers, a stability metric *d* is defined from the eo_pipe stability task data products. More precisely, *d* is defined, for a given amplifier in a given run, as the difference between the 5th and 95th percentiles of the image mean over all the exposures. The distribution of *d* for run E2136 is shown below. Applying a threshold at 0.3, 51 amplifiers are identified as instable (see the corresponding mosaic). This corresponds to ~3% of the e2v amplifiers.
 
 .. figure:: sections/figures/E2136_distribution_d.png
 
-   Distribution of the stability metric for the 1872 e2v amplifiers in run E2136
+   Distribution of the stability metric for the e2v amplifiers in run E2136
 
 .. figure:: sections/figures/E2136_mosaic_d.png
 
-   Mosaic of e2v amplifiers identified as instable in run E2136
+   Mosaic of e2v amplifiers identified as instable (white color) in run E2136 
 
 Further studies are still required in order to converge on the best mitigation strategies for the start of the LSST survey.