Diff for "Balanced Homodyne Detection"

Differences between revisions 6 and 8 (spanning 2 versions)

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

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

-  ⇤ ← Revision 6 as of 2017-10-31 06:03:38 → 
  Size: 1018
  Editor: KevinkunsATligoDOTorg
  Comment:
+   ← Revision 8 as of 2017-12-23 03:37:56 → ⇥
  Size: 1410
  Editor: KevinkunsATligoDOTorg
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
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-The ipython notebook [[https://github.com/CaltechExperimentalGravity/OptimalGWextraction/blob/master/PonderSqueeze/40mOptickleModel/40mBHD.ipynb|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.
+The ipython notebook [[https://github.com/CaltechExperimentalGravity/OptimalGWextraction/blob/master/PonderSqueeze/BHD/SimpleBHD.ipynb|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 [[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]]