Reports until 12:38, Tuesday 19 August 2025
H1 SQZ
camilla.compton@LIGO.ORG - posted 12:38, Tuesday 19 August 2025 - last comment - 13:23, Friday 22 August 2025(86445)
PSAMS adjustments for SQZ-OMC mode matching

Leo, Jennie, Camilla

Followed setup instructions from 80010, with 75mW injected in the SEED beam, we had 1mW on OPO_IR_PD_DC slightly lower than last time. Also took SQZ_FC to FC_MISALIGNED.  And opened SQZ beam divertor and fast shutter. Have counts of ~60 on ASC-AS_A and B and 7e-4 on ASC-OMC-A and B NSUMs. Jennie took the OMC PZT down to zero to start and then ran a template userapps/../omc/h1/templates/OMC_scan_sqz_beam.xml.

Repeated mode scans with different ZM PSAMs offsets, the DC centering loops could account for the pitch change for PSAMs, for the extreme PSAMS values, I increased the servo limiter from 85 to 95. 

Jennie and Leo have the data to analyze. 

Comments related to this report
jennifer.wright@LIGO.ORG - 17:42, Tuesday 19 August 2025 (86467)

See the ndscope with the channels we used to monitor attached.

This template is saved in /ligo/home/jennifer.wright/Documents/OMC_scan/20250819_SQZ_beam_scan_with_ZM_changes.yaml

leendert.schrader@LIGO.ORG - 15:10, Wednesday 20 August 2025 (86485)
Following up on these OMC scans: attached is the table with all computed mode-mismatch values.
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leendert.schrader@LIGO.ORG - 13:23, Friday 22 August 2025 (86520)
Leo, Jennie W., Camilla

Below is a plot of the OMC scans fitted with a surface polynomial.
The plot is from the presentation in T2500228, so the labels on axes will be different.
This can be plotted on Matlab simply using the following code block (requires Curve Fitting Toolbox to use fit()).

OMCX = [5.5, 4, 2.3, 3, 8.1, 2.3, 2.3, 6, 9.5, 6, 6, 9, 3, 8, 4, 9.5, 9.5];
OMCY = [-0.8, 0.34, 0.2, 0.85, -0.4, -0.1, 0.2,    -0.4, -0.6, -4.5, -5.3, 2, 2, -2, -2, -5, -0.6];
OMCdata = [1-4.048/100, 1-3.412/100, 1-3.074/100, 1-3.234/100, 1-5.073/100, ...
        1-3.176/100, 1-2.884/100, 1-2.174/100, 1-3.343/100, 1-9.490/100, 1-11.865/100, 1-6.282/100, 1-2.313/100, ...
        1-3.013/100, 1-3.021/100, 1-9.179/100, 1-3.243/100];

omc = fit([transpose(OMCX), transpose(OMCY)], transpose(OMCdata), 'poly22');
    
p = plot(omc);
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