Calibration Tasks and Milestones
Task (Responsible and sub-responsible person(s))
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 (T.Yamamoto,..., 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 (..., T.Yokozawa)
- 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