Laser Mode Spectroscopy for Mirror Metrology Naomi Wharton Mentors: - - PowerPoint PPT Presentation

laser mode spectroscopy for mirror metrology
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Laser Mode Spectroscopy for Mirror Metrology Naomi Wharton Mentors: - - PowerPoint PPT Presentation

Laser Mode Spectroscopy for Mirror Metrology Naomi Wharton Mentors: Koji Arai and Rana Adhikari LIGO SURF 2017 August 24, 2017 Gravitational Wave Detectors LIGO gravitational wave detectors are specialized Michelson interferometers.


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SLIDE 1

Laser Mode Spectroscopy for Mirror Metrology

Naomi Wharton Mentors: Koji Arai and Rana Adhikari LIGO SURF 2017 August 24, 2017

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SLIDE 2

Gravitational Wave Detectors

  • LIGO gravitational wave detectors are

specialized Michelson interferometers.

  • Each interferometer arm can be

thought of as a 4 km-long Fabry-Perót cavity.

  • FP cavity increases interaction time

between GW and detector.

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

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SLIDE 3

Optical Loss

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Low optical power loss needed to maintain sensitivity of

interferometer.

  • Optical loss → reduced effective power of input beam → loss
  • f squeezed light → increased shot noise → lower sensitivity

to GW

  • Some causes of optical loss:
  • Mirror figure error
  • Surface aberrations, scratches, point defects
  • Absorption
  • Microroughness
  • ETM transmission
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SLIDE 4

Mirror Figure Error

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Fizeau interferometer →

mirror surface compared to ideal reference piece. → Produce phase map.

  • More focused problem: How can we evaluate optical loss

due to mirror figure error?

  • Instead, want in-situ interferometric measurement with

actual cavity beam used for GW detection.

+4.95 nm

  • 5.10 nm

https://dcc.ligo.org/LIGO-E1300196

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SLIDE 5

Method

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Difficult: In-situ measurement of mirror figure error.
  • Easier: Given cavity with some figure error → Measure

transmission curve.

  • This project: Can we use cavity transmission of transverse

modes (TEM) as a sensor for mirror figure error?

easy difficult

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SLIDE 6

Higher-Order Cavity Modes

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Hermite-Gaussian modes: Family of solutions to

paraxial Helmholtz equation.

  • Resonant modes of FP cavity.
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SLIDE 7

Higher-Order Cavity Modes

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Beam aligned to cavity

→ only see Gaussian beam, the lowest-order solution (TEM00).

  • Misaligned beam →

higher-order modes appear.

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SLIDE 8

Higher-Order Cavity Modes

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Ideal cavity → resonant frequencies determined by cavity

length and radius of curvature.

νFSR = c 2L

νTMS = νFSR ✓m + n π ◆ cos−1 s✓ 1 − L R1 ◆✓ 1 − L R2 ◆

  • Real cavity → mirror figure

error creates shifts in mode frequencies and amplitudes.

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SLIDE 9

Finesse

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Software package for running simulations of user-defined
  • ptical cavities.
  • Run Finesse simulation of FP cavity with parameters of one

arm of LIGO 40m prototype interferometer.

  • By default, all mirrors are perfectly smooth → Make

simulation more realistic by introducing a phase map to the ETM.

RoC = ∞ RoC = 57 m

ETM ITM

λ = 1064 nm

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SLIDE 10

Zernike Polynomials

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Sequence of polynomials
  • rthogonal on unit disk. Each

polynomial corresponds to a type of optical aberration.

  • Simulate mirror figure error:
  • Apply random coefficients

to Zernike polynomials

  • Coefficients normally

distributed, 𝜏 = 4 nm

piston tip, tilt astigmatism, defocus coma, trefoil

1e-7

4 cm 4 cm

mirror height

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SLIDE 11

Zernike Polynomials

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Run many simulations with different Zernike coefficients →

learn how much figure error affects cavity transmission.

  • Compare HOM

transmission peaks from many different phase maps:

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SLIDE 12

Example

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

1e-7

4 cm 4 cm

Run Finesse simulation with a given ETM mirror map:

TEMmn : m + n ≤ 9

  • Compare transmission

peaks to ideal cavity. → Changes in and give information about cavity parameters.

νFSR

νFSR

m + n = 1

m + n = 2

νTMS νTMS

νTMS

1 2 3 4 5 6 7 8 9

mode order

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SLIDE 13

Example

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

R2

νTMS = νFSR ✓m + n π ◆ cos−1 s✓ 1 − L R1 ◆✓ 1 − L R2 ◆

νFSR = c 2L

L

L ≈ 40.002 m R2 ≈ 56.443 m

  • TMS should vary linearly with mode
  • rder:

→ Perform linear fit to find new TMS → Calculate , ETM radius of curvature

  • FSR varies with cavity length:

→ Find FSR from distance between consecutive TEM00 peaks → Calculate effective cavity length

  • deviation induces

shift of the TMS

σ ≈ 4 nm

≈ ±5 kHz

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SLIDE 14

Summary

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Goal: Determine optical losses in GW detector interferometers

due to mirror figure error.

  • Method: Use cavity transmission peaks as sensor for figure error.

→ Simulate realistic mirror perturbations with phase maps. → Inject higher-order laser modes into simulated cavity. → Use shifts in resonant frequencies of HOMs to learn about cavity parameters.

1e-7

4 cm 4 cm

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SLIDE 15

Next Step: Bayesian Inference

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017

  • Problem: Identify most probable phase map of a cavity mirror

given a certain measurement of its transmission.

  • One method: Markov chain Monte Carlo (MCMC)

→ Relies on Markov chain: process with property that, conditional on its nth step, its future values do not depend on its previous values. → Insert many phase maps and their corresponding transmission curves. → Accuracy of approximation for most probable phase map increases as input sample size increases.

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SLIDE 16

Thank you!

Naomi Wharton

Naomi Wharton - LIGO SURF 2017 - Mentors: Koji Arai and Rana Adhikari - August 24, 2017