Calibration Tasks and Milestones

Task (Responsible and sub-responsible person)

• Cross out if the tasks are completed

Listing-up (S.Haino and responsible people)

• List-up tasks and responsible person(s)
• List-up milestones and deadline
• Submit the list of task and milestone to the KAGRA scheduler

Pcal (Y.Inoue)

• Install Pcal at X and Y-end and coordinate the long-term Pcal characterization

• Prepare for the necessary EPICS channels to the online system for the calibration

• ...

Front-end (T.Yamamoto)

• Make the models for the online h(t) reconstruction
• Provide the necessary DAQ channels for the low-latency calibration
• ...

Low-latency and offline (D.Tuyenbayev, S.Tsuchida, S.Haino)

• Ask to LIGO CAL team for the detailed information of gstlal-calibration (DT)
• Make gstlal-calibration running on a machine at KAGRA (DT, SH)
• Use gstlal-calibration for the offline h(t) reconstruction of bKAGRA phase-1 data (ST, DT)
• Generation of FIR filters for KAGRA DARM model (ST, DT)
• Feed KAGRA online channels into gstlal-calibration and generate low-latency h(t) (ST, DT, SH)

DARM model (???, D.Tuyenbayev)

• Make a subway map of the KAGRA DARM model
• Optimize the calibration lines
• Coordinate the Open Loop Gain (OLG) Transfer function measurements
• Estimate and trace the slow time variation of the calibration parameters

Pcal verification (???)

• Coordinate h(t) calibration with the Free-swinging Michelson method
• Compare h(t)s calibrated between Free-swinging Michelson and Pcal

Hardware injection (???)

• Make the online model for the hardware injection with actuators
• Make the online model for the hardware injection with Pcal
• Coordinate the hardware injection tests
• Analyze the hardware injected data and verify the DARM subway map

Systematic errors assignment (???, S.Haino)

• Estimate the systematic errors due to calibration
• Provide the number (amplitude and phase) for the data analysis group
• Provide the calibration envelopes for the data analysis group
• (If possible) Incorporate DARM model and parameter uncertainties in the data analysis