The difference between the first raw bias and the second raw bias (in ADU) shifted by 10x10 pixels, is computed. This is the combination of fixed pattern noise and read out noise (scaled by sqrt(2)). The population standard deviation of this difference is computed and divided by the square root of 2. The read out noise contribution evaluated as QC OUTi RON is then quadratically subtracted from the total noise. Details can be found in the plot tutorial.

DB Name: fors2_bias
TPL.ID: img_cal_bias
Fits header keyword: QC.BIAS.FPN
QC1 DB parameter: FP_r