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| * 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) |
* Ask to LIGO CAL team for the detailed information of gstlal-calibration (DT) [status: ongoing | expected finish: none] * Make gstlal-calibration running on a machine at KAGRA (DT, SH) [status: ongoing | expected finish: Jul 1] * Find names and versions of all prerequisite libraries * Install prerequisites and gstlal-cal package on a machine at AS * Test gstlal-cal pipeline on an AS machine * Install prerequisites and gstlal-cal package on a machine at KAGRA * Test the pipeline on a KAGRA machine * Generation of FIR filters for KAGRA DARM model (ST, DT) [DT, ST] * Note: Depends on the readiness of the DARM model * Use gstlal-calibration for the offline h(t) reconstruction of bKAGRA phase-1 data (ST, DT) [status: to do | expected finish: Aug 15] * Note: depends on the installation of gstlal-cal on a machine at AS * Produce dummy output equivalent to online cal output * Compare gstlal and online outputs of bKAGRA phase-1 data [expected finish: Aug 15] * Generate status vector * Decide status vector bits (DT) * Modify (adapt) the function that generates the status vector * Produce the status vector data * Feed KAGRA online channels into gstlal-calibration and generate low-latency h(t) (ST, DT, SH) [status: to do | expected finish: end of the next ER] * Note: Depends on the readiness of DMT |
Calibration Tasks and Milestones (Towards O3)
Goals
- Make the whole chain of h(t) reconstruction running with Pcal
- 3 types of h(t) provide (online, low latency, offline)
- online h(t) generation using Pcal(DGS)
- low latency and offline will be similar code
- Accuracy at the initial LIGO O1 level (10%,10deg.)
- LIGO also have many try and error
- free sweging is used for calibration method comparison
- final goal is 1%, 1deg.
- By the starting of phase-2 engineering run (well in advance of joining O3)
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
- List-up milestones and deadline
- Submit the list of task and milestone to the KAGRA scheduler
Pcal (Y.Inoue, C.Kozakai, Cory, Bin-Hua)
- 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
- List-up the systematic error budget table for O3
- Achieve 1% displacement error
- Absolute power calibration
- Contact person of working standard of Toyama univ.
- Absolute calibration organization
- Maintenance at Kamioka site.
- BH should stay Kamioka and periodic work
- Telephoto camera
- Installation is almost done
- Maintenance of TCam is done by T.Yokozawa
- IR filter issue(spare camera), additional spare camera.
- Image analysis by Tomigami.
Front-end (T.Yamamoto, +1person from off-site)
- 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) [status: ongoing | expected finish: none]
- Make gstlal-calibration running on a machine at KAGRA (DT, SH) [status: ongoing | expected finish: Jul 1]
- Find names and versions of all prerequisite libraries
- Install prerequisites and gstlal-cal package on a machine at AS
- Test gstlal-cal pipeline on an AS machine
- Install prerequisites and gstlal-cal package on a machine at KAGRA
- Test the pipeline on a KAGRA machine
- Generation of FIR filters for KAGRA DARM model (ST, DT) [DT, ST]
- Note: Depends on the readiness of the DARM model
- Use gstlal-calibration for the offline h(t) reconstruction of bKAGRA phase-1 data (ST, DT) [status: to do | expected finish: Aug 15]
- Note: depends on the installation of gstlal-cal on a machine at AS
- Produce dummy output equivalent to online cal output
- Compare gstlal and online outputs of bKAGRA phase-1 data [expected finish: Aug 15]
- Generate status vector
- Decide status vector bits (DT)
- Modify (adapt) the function that generates the status vector
- Produce the status vector data
- Feed KAGRA online channels into gstlal-calibration and generate low-latency h(t) (ST, DT, SH) [status: to do | expected finish: end of the next ER]
- Note: Depends on the readiness of DMT
DARM model (T.Yamamoto, D.Tuyenbayev, T.Yokozawa)
- 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
- Electronics transfer function.
Pcal verification (Y.Inoue,...)
- Coordinate h(t) calibration with the Free-swinging Michelson method
- Compare h(t)s calibrated between Free-swinging Michelson and Pcal
- Compare h(t)s calculated between diff,common,...
Hardware injection (T.Yokozawa, Cory )
- 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 (T.Sawada, Y.Inoue, S.Haino, T.Yokozawa)
- Estimate the systematic errors due to calibration
- Make a simulation.
- 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
- A.Miyamoto will show the first results of the effect of calibration uncertainties to the POP III data analysis