The input matrix of ITMX has been diagonalized.

The evaluation of this diagonalisation  will be done tonight by freely swinging ITMX again.

(Somehow I couldn't get any data for ETMX from the DAQ channels. I will try it again tonight.)

(details)

For solving the matrix, I used Yuta's python code called inmartixoptimizer.py.

I took the transfer functions of UL->UR, UL->LL and UL->LR as described in this entry.

In the measurement, the frequency bin was set to 0.001 Hz and the data were 50 times averaged on dtt.

Here is the new input matrix.

[[ 0.87059649  1.14491977  1.07992057  0.90456317]
 [ 0.64313916  0.55555661 -1.44997325 -1.35133098]
 [ 1.13979571 -1.19186285 -0.89606597  0.77227546]]

This matrix should give a better performance than before.