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Online Veto Analysis of TAMA300

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To distinguish GW signals, we should remove noises to be misidentified as GW signals. ... Transfer Function. HINT. DINT. FINT. AINT. WFINT. DINT. V3. Vs. V3 ... – PowerPoint PPT presentation

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Title: Online Veto Analysis of TAMA300


1
Online Veto Analysis of TAMA300
  • Daisuke Tatsumi
  • National Astronomical Observatory of Japan
  • The TAMA Collaboration

8th GWDAW 19 Dec 2003 _at_ Milwaukee, UWM, USA
2
Introduction
ltVeto Analysisgt To distinguish GW signals, we
should remove noises to be misidentified as GW
signals. The veto analysis aim to identify noise
sources and to remove them.
3
Noise Evaluation
Detector conditions will be changed.
We need to monitor several noises continuously.
4
Contents
We began to study Veto Analysis intended to the
following noises 1.Noise originated from Power
Recycled Michelson (l- slm) 2.Laser Intensity
Noise (Intensity Noise)
  • Checking the noise mechanism to contaminate the
    GW signals
  • Online evaluation as the displacement noise.

5
Noise Mechanism(l- noise)
UGF 20Hz
coupling constant
Hslm
H
-
-
(llm)
(slm)
Dslm
D
Aslm
A
Fslm
F
WFslm
V2
V4
Noise Transfer Function V4 / V2
6
Noise Transfer Function (l- noise)
Not consistent with measurement.
7
Noise Mechanism (l- noise)
UGF 20Hz
coupling constant
Hslm
H
-
-
(llm)
(slm)
Dslm
D
Aslm
A
Fslm
F
WFslm
V2
V4
Noise Transfer Function V4 / V2
8
Noise Transfer Function (l- noise)
9
Noise Mechanism(Intensity Noise)
coupling constant
UGF 50kHz
HINT
H
Intensity Noise
-
-
(llm)
(INT)
DINT
D
AINT
A
FINT
F
DINT
WFINT
V4
V3
Noise Transfer Function V4 / V3
10
Noise Transfer Function (Intensity Noise)
11
Noise Mechanism(Intensity Noise)
coupling constant
UGF 50kHz
HINT
H
Intensity Noise
-
-
(llm)
(INT)
DINT
D
AINT
A
FINT
F
DINT
WFINT
V4
V3
Noise Transfer Function V4 / V3
12
Transfer Function (dT)
13
Noise Transfer Function (Intensity Noise)
14
Calibration Peaks forOnline Noise Evaluation
15
Online Noise Evaluation(L-, l-, Intensity)
16
Online Noise Evaluation(L-, l-, Intensity)
Intensity Noise Enhancement 1. Intensity
Servo OFF 2. l- offset
17
Summary
To realize online veto analysis, 1. Checking the
noise mechanisms to contaminate GW signals 2.
Online evaluation of l- and intensity noises as
displacement noise.
From now 1. Evaluation of alignment noises 2.
Noise reduction by using the online
18
Checking Transfer Function
V3 / Vs
HINT
-
DINT
AINT
FINT
DINT
WFINT
Vs
V3
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