Optimization of Michelson Interferometer Signals in Crackle Noise - - PowerPoint PPT Presentation
Optimization of Michelson Interferometer Signals in Crackle Noise - - PowerPoint PPT Presentation
Optimization of Michelson Interferometer Signals in Crackle Noise Detection Horng Sheng Chia, Gabriele Vajente LIGO SURF Project August 20, 2014 Crackle Noise Crackle noise may affect LIGO detection Impulsive release of energy or
Crackle Noise
- Crackle noise may affect LIGO detection
- Impulsive release of energy or acoustic pressure
- Changes in geometry
- Question: is crackle noise a problem to LIGO?
Figure : Dahmen, Benzion, and Uhl, Phys. Rev. Lett. (2009)
Crackle Setup
- Output: Difference between symmetric and antisymmetric
port readings
Motivation
- Crackle experiment is prone to noises:
- 1. Laser frequency noise
- 2. Laser intensity noise
- Mirror misalignment also affects signal output
- Coupling of noises can be minimized by adjusting parameters
- f setup
- Before (Crackle 1 experiment):
- trial and error
- ideal parameters drift away due to environmental factors
- Now (Crackle 2 experiment):
- Goal: automatically adjust these parameters to optimize
- utput
- Simulation - MIST optical toolbox
Laser Frequency Noise
- Variation of laser frequency
- Laser Frequency Noise Coupling, gfreq = ∆L/ν
- Aim: equalize macroscopic length difference, O(1mm)
- Piezo-translation stage controls length of one arm
0.5 1 1.5 1 2 3 4 5 6
Gain of Frequency Noise Coupled × 10−18 [m/Hz] Macroscopic Length Difference, [mm]
Simulation Expected
Laser Frequency Noise (Algorithm)
0.31 0.315 0.32 0.325 0.33 0.335 0.34 −1 1 2 3 4 x 10
−17
Macroscopic Length of movable arm [m] Laser frequency noise gain [10−17 m/Hz]
Theoretical Iteration Initial Final
- 100 measurements with random measurement uncertainties
- Average of 5 steps to complete algorithm
Laser Intensity Noise
- Variation of laser power
- RIN = δP
P
- Aim: adjust microscopic length difference, O(1 nm)
- Strategy: Locking (negative feedback) =
⇒ half fringe condition
−4 −3 −2 −1 1 2 3 4 −0.5 0.5 1 1.5 2 2.5 3 3.5
Phase of movable arm [rad] Power [W]
SP AP ABS(SP−AP)
Mirror Misalignment
- Effects of misalignment: (i) additional phase added by mirror
misalignment (ii) shifted beam center = ⇒ reduced fringe contrast
- Aim: align mirrors so fringe contrast is close to unity
- Fringe contrast = Pmax−Pmin
Pmax+Pmin =
Re[ψ1ψ∗
2]dxdy
Mirror Misalignment (Model)
Re[ψrψ∗
- ]dxdy = e−
2L2 2α2 w2
− k2w2α2
2
+ k2w2L2α2
R
−
k2L2 2w2α2 2R2
- L2 = length of arm, w = beam radius, k = wavenumber, α =
misalignment angle, R = radius of curvature of wavefront
−3 −2 −1 1 2 3 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Angular misalignment of one mirror [mrad] Fringe contrast
Simulation Expected
Gradient Ascent Optimization
- Crucial parameter: step size
- Divide fringe contrast pattern into approximate linear regimes
- δ = δmax
gradlocal gradmax , where gradlocal =
gradx1 grady1 gradx2 grady2
−3 −2 −1 1 2 3 x 10
−3
0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Angular misalignment of one mirror [rad] Fringe contrast
Simulation
(0.662, 0.50) (1.21, 0.10) II I III (0.256, 0.90) V IV (0.177, 0.95)
Alignment Plots
5 10 15 20 25 30 35 −0.1 0.1 0.2 0.3 0.4 0.5 0.6 0.7
Steps Angular displacement [mrad]
X1 Y1 X2 Y2 5 10 15 20 25 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Steps Fringe Contrast
Conclusion
- All 3 algorithms have been tested rigorously
- Next step: implement in real crackle experiment
- Acknowledge: Gabriele Vajente, Xiaoyue Ni, Alan Weinstein,
LIGO SURF students, NSF
- Thank You!
Alignment Plots
5 10 15 20 25 −0.4 −0.2 0.2 0.4 0.6 0.8 1
Steps Angular displacement [m rad]
X1 Y1 X2 Y2 5 10 15 20 25 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Steps Fringe Contrast