Development of photon calibrator system in KAGRA
Academia Sinica Yuki Inoue On behalf of KAGRA collaboration
Supported by Wang-Yau Cheng, Rick Savage, Tomotada Akutsu…
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Development of photon calibrator system in KAGRA Outline 2 - - PowerPoint PPT Presentation
Academia Sinica Yuki Inoue On behalf of KAGRA collaboration Supported by Wang-Yau Cheng, Rick Savage, Tomotada Akutsu 1 Development of photon calibrator system in KAGRA Outline 2 Introduction KAGRA photon calibrator
Supported by Wang-Yau Cheng, Rick Savage, Tomotada Akutsu…
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The reconstruction of h(t) is one of the most important for the gravitational wave experiment
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measurement accuracy of gravitational waveforms.
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establish the low uncertainty calibration method.
the powerful tools to calibrate the parameters directly.
Photon pressure S.Karki et al.(2016)
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δx = ΔP c cosθ s( f ) 1+ M I ! a ⋅ ! b ⎛ ⎝ ⎜ ⎞ ⎠ ⎟
Absolute force Transfer function Rotation
another methods.
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LHO LLO
LIGO-P1500248
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36m EYA
Beam waist
Transmitter module Receiver module Periscope Camera system Baffle Oplev
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laser Power of calibrator 2W->10W
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Class 4 laser room
Digital system
Telecamera Control PC Receiver module Transmitter module Readout tower
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Transmitter module
SolidWorks 教育版(実習にのみ使用可)
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AOM IS Detector Laser
Development items
(1st phase bKAGRA)
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(2nd phase bKAGRA) (3rd phase bKAGRA)
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with integrating sphere
Parameter uncertainty Laser power 0.57% Angle 0.007% Mass of test 0.005% RotaLon 0.40% Total 0.75%
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δx = ΔP c cosθ s( f ) 1+ M I ! a ⋅ ! b ⎛ ⎝ ⎜ ⎞ ⎠ ⎟
Absolute force Transfer function Rotation
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geometrical factor.
generate the systematic error
Parameter uncertainty Laser power 0.57% Angle 0.007% Mass of test 0.005% RotaLon 0.40% Total 0.75%
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δx = ΔP c cosθ s( f ) 1+ M I ! a ⋅ ! b ⎛ ⎝ ⎜ ⎞ ⎠ ⎟
Absolute force Transfer function Rotation
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KAGRA Telecamera
D810(36million pixel )
SolidWorks 教育版(実習にのみ使用可)
36m We place the target maker 36m away from telecamera. Result Zoom in The resolution of telecamera meets our requirement.
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24mm 24mm D810(36million pixel )
LIGO
LIGO estimate the origin of mirror surface by fitting mirror edge We try and demonstrate the estimation of the mirror origin with
We use the openCV for analysis.
Trimming data Estimate this point Outer circle
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X[mm] 2 4 6 8 10 12 14 16 18 20 22 24 Y[mm] 2 4 6 8 10 12 14 16 18 20 22 24
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
X 20 40 60 80 100 120 140 160 180 Y 20 40 60 80 100 120 140 160 180Trimming Gray scale Threshold Masking ーfitting
Fitting[mm] Design[mm] Radius 6.9±0.1 7.0 X center 11.9±0.1 12.0 Y center 11.9±0.1 12.0
Established image analysis method for estimation of beam position
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important technologies for the accurate measurement of gravitational waves.
calibration technology, photon calibrator.
install the Pcal at 2018 April.
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characterize of the camera system
characterization of the Transmitter module and Receiver module
(WAOM…)
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Drum head mode Butterfly mode 15,914Hz 23,659Hz
Ansys Ansys
23,661Hz 15915Hz
COMSOL COMSOL
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positions.
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Elastic deformation Free mass motion
Total motion Elastic deformation Free mass Motion
KAGRA advLIGO Material Sapphire Silica Density 4.00g/cm3 2.20g/cm3 Young’s modulus 400Gpa 72.6GPa Poisson ratio 0.3 0.1631 Butterfly 15,914Hz 5,946Hz Drumhead 23,659Hz 8,153Hz
LIGO KAGRA
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Drumhead mode Butterfly mode
15,914Hz 23,659Hz 5,946Hz 8,153Hz Optimal beam position are corresponding to drumhead node point.
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Frequency [Hz] 2000 4000 6000 8000 10000 12000 Displacement ratio 0.96 0.97 0.98 0.99 1 1.01 1.02 1.03 1.04
79.8mm) ±
81.8mm) ±
82.8mm) ±
83.8mm) ± + 1.0mm( 85.8mm) ± + 3.0mm(
LIGO 3mm point