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sheila.dwyer@LIGO.ORG - posted 14:13, Thursday 09 August 2018 - last comment - 14:48, Thursday 09 August 2018(43344)
Estimating the recycling gain during CARM offset reduction

Sheila, Gabriele

Attached is a plot and script that we can use to get an idea of our recycling gain during the CARM offset reduction.  The plot shows the reflected power (normalized by the reflected power at the start of the locking attempt) vs TR_X_NORM, which is the TMS X red QPD normalized so that the build up of a single arm lock is 1.  The slope of this line is determined by the recycling gain (Gabriele has some plots he will attach).  There are two historical traces to show what this looks like when we had better recycling gains.  

We can have difficulty locking when we have a poor recycling gain (due to a bad initial alignment or alignment references which haven't been set), since the relationship between sqrt(TR_X +TR_Y) (TR_CARM offset) and the actual CARM offset changes.  This can fool us into thinking that we need to retune the CARM offset reduction sequence (ie, loops go unstable or transitions seem to be happening to early or late causing locklosses), when what we really need to do is align the interferometer.  The traces from the last week on the attached plot illustrate this, the gold trace shows a lock when we first relocked and the CARM offset sequence was working well (the recycling gain is worse than O2).  The purple and green traces are from times when we had difficulty locking, Jenne and Georgia did an initial alignment and which restored our slope (baby blue) to more similar to the gold reference.  

There may be a way of using this information to make our CARM offset sequence less sensitive to misalignments. 

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gabriele.vajente@LIGO.ORG - 14:48, Thursday 09 August 2018 (43346)

Model

I made a simple analytical model of a double cavity, and computed the REFL and TRANS powers as a function of the CARM offset. The powers in my model are normalized in the same way as in Sheila's plot: TRANS is normalized to the single arm power, and REFL to the off resonance value.

The free parameters are the round-trip losses in the arm (L_arm) and the (additional) round-trip losses in the power recycling cavity (L_prc). As expected and as visible in the plot below, the two losses have the same effect, just with a different weight: arm losses matters more due to the high finesse of the cavity. So we can't use the slope of the trace to distinguish between PRC and arm losses.

 

Comparison with data

I can use Sheila's data and "fit" some value of losses to match the slope. Since PRC and arm losses are degenerate, I can reproduce the slope in two ways:

  1. Assuming there are no significant losses in the PRC (a few 100 ppm would qualify as negligible losses there) and assume all losses are in the arms
  2. Assuming that there are 80 ppm losses in the arms (a value that correspond to the best slope) and then ascribe any other difference to (large) losses in the PRC

The results are shown in the two plots below:

Here's a summary table

  Assuming only arm losses Assuming only PRC losses
Sept. 16 2015 80 ppm 0 %
August 5 2016 100 ppm 0.5 %
August 6 2018 112 ppm 0.9 %
August 7 2018 112 ppm 0.9 %
August 7 2018 118 ppm 1.1 %

 

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