---+ Atmospheric Subtraction
Two atmospheric subtraction methods:
-
- These methods are equivalent for a frozen atmosphere (according to Crawford).
- Principle Component Analysis ala Bolocam
- principal_components.pdf: Very basic tutorial on principal component analysis (not specific to astronomy)
- from bolo-bolo coveriance over a half scan (e.g. both spatial and time basis).
- basically the data is put into a matrix, which we diagonalized and find the eigenvectors. We project out and subtract the N largest eigenvectors.
- This will also subtract off things like 60Hz.
- Good relative gain calibrations may not ne necessary.
- Spatial Template Removal (also called Sawtooth Fourier Modes) - ala Tom Crawford for SPT or Bolocam
- for each time sample, subtract a gradiant, quadrupole, etc across the array. (e.g. both spatial only)
- you need to remove bolo offsets and gain variations before applying this.
- Section 4.6 of Jack Sayer's Bolocam PhD Thesis, Dec 2007 Caltech.
- 2006_AtmosphereCode Example code provided by friends.
Here are some notes for gaining an intuition about atmosphere
2006_AtmosphereSubtractionIntuition.
Relevant Papers:
Glitch Flagging and Removing
- many astronomy applications use "kappa-sigma clipping" (e.g. for CCDs) to flag and recognize cosmic rays.
This topic: APEX_SZ
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Topic revision: r6 - 2008-05-13 - MattDobbs