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The ipython notebook [[https://github.com/CaltechExperimentalGravity/OptimalGWextraction/blob/master/PonderSqueeze/BHD/BHD_OMC.ipynb|located here]] describes the noise in a balanced homodyne detector with mode cleaners for the signal (OMC) and local oscillator (LMC). The ipython notebook [[https://github.com/CaltechExperimentalGravity/OptimalGWextraction/blob/master/PonderSqueeze/BHD/BHD_OMC.ipynb|located here]] describes the noise in a balanced homodyne detector with mode cleaners for the signal (OMC) and local oscillator (LMC) as shown below. A static version of the notebook can be viewed [[attachment:BHD_OMC.html|here]]

Noise Budget

Simple BHD

The ipython notebook located here describes the noise in a simple balanced homodyne detector consisting only of a local oscillator, a beamsplitter, and two photodiodes. The noise is computed with an Optickle model and a heuristic analytic description is given.

BHD with Mode Cleaners

The ipython notebook located here describes the noise in a balanced homodyne detector with mode cleaners for the signal (OMC) and local oscillator (LMC) as shown below. A static version of the notebook can be viewed here

BHD detection of a simple Michelson

BHD detection of the full 40m Interferometer

Requirements

  1. Displacement noise of OMC/LMC mirrors
  2. Scatter loss in mirrors
  3. Cavity design: triangle, quad ring, quad zig-zag (reference the new OMC paper from Koj)
  4. Laser amplitude / frequency noise including DC offsets in various other lock points and motions to simulate bilinear noise
  5. Oscillator noise: AM / FM
  6. Aux length noise: MICH/PRC/ SRC
  7. Req. on offsets/asymmetries: arm finesse, arm reflectivity, mass imbalance of ETMs

Balanced Homodyne Detection (last edited 2020-04-29 17:41:39 by JonathanrichardsonATligoDOTorg)