Differences between revisions 2 and 5 (spanning 3 versions)
Revision 2 as of 2018-05-15 15:53:58
Size: 1814
Comment:
Revision 5 as of 2018-05-15 19:27:13
Size: 2255
Comment:
Deletions are marked like this. Additions are marked like this.
Line 6: Line 6:
=== Coordination (S.Haino and responsible people) by May/27 === === Listing-up (S.Haino and responsible people) ===
Line 9: Line 9:
 * Submit the list of task and milestone to the KAGRA scheduler
Line 20: Line 21:
=== 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)
 * Feed KAGRA online channels into gstlal-calibration and generate low-latency h(t) (ST, DT, SH)
Line 36: Line 38:
=== 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

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)
  • 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

KAGRA/Subgroups/CAL/WG/tasks (last edited 2018-09-06 09:54:51 by chihiro.kozakai)