Hsiang-Yu Huang

Model transfer function of DAC-driven measurement based on Part IV of of G2200551 w/ new pyDARM. Verifying the gain of this transfer function in 1 kHz according to estimation of LHO:62653 with example configuration file in pyDARM repo. On the other hand, process the DAC-driven measurement with new pyDARM Infrastructure. The process result is same as LHO:62916.

Method
That model parameter set lives in git.ligo.org/Calibration/ifo/pydarmparams/pydarm_modelparams_PostO3_H1_20220525.ini.

Measurement data are stored in https://svn.ligo.caltech.edu/svn/aligocalibration/trunk/Common/Electronics/H1/SensingFunction/OMCA/Data/

20220430_H1_TIAxWC_OMCA_S2100832_S2101608_DCPDAandB_RemoteTestChainEXC.xml

20220419_H1_TIAxWC_OMCA_S2100832_S2101608_DCPDAandB_RemoteTestChainEXC.xml

I model the above measurment scheme by using dac_drive_response from sensing class and process above measurment data by DACDrivenMeasurement class. More details are in pyDARM gitlab MR #101.

Result

The gain of model in 1 kHz is ~3.085e-6 [mA / DAC ct] in dac_driven_meas_withModel.png. The result of prcoess measurement data is same as LHO:62916.

Comparison

Using example model configuration file H1_20190416.ini in pyDARM gitlab.

The gain of this model in 1 kHz is ~3.06e-6 [mA / DAC ct] in tf.png.