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| = Calibration Tasks and Milestones = | = Calibration Tasks and Milestones (Towards O3) = |
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| == Task (Responsible and sub-responsible person) == | === 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)) === |
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| == Pcal (Y.Inoue) == | === 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, C.Kozakai, Cory, Bin-Hua) === |
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| * ... | * List-up the systematic error budget table for O3 * Achieve 1% displacement error * Contact person of working standard of Toyama univ. * Absolute calibration organization * Maintenance at Kamioka site. |
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| == Front-end (T.Yamamoto) == * Make models for the online h(t) reconstruction |
=== Front-end (T.Yamamoto, ...) === * Make the models for the online h(t) reconstruction |
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| == Low-latency and offline (D.Tuyenbayev, S.Haino) == * Ask to LIGO CAL team for the detailed information of gstlal-calibratin * Make gstlal-calibration running on any PCs at KAGRA * Use gstlal-calibration for the offline h(t) reconstruction of phase-1 data * Incorporate KAGRA online h(t) data into gstlal-calibration and generate low-latency h(t) |
=== 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) |
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| == DARM model (???, D.Tuyenbayev) == | === DARM model (T.Yamamoto,..., D.Tuyenbayev) === |
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| * Electronics transfer function. | |
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| == Pcal verification (???) == | === Pcal verification (Y.Inoue,...) === |
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| * Compare h(t)s calculated between diff,common,... | |
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| == Systematic errors assignment (???, S.Haino) == | === 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) === |
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| * Make a simulation. |
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(s)
- 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
- Contact person of working standard of Toyama univ.
- Absolute calibration organization
- Maintenance at Kamioka site.
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
- 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)
- 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