---+ 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.

Topic attachments
I Attachment Action Size Date Who Comment
PDFpdf principal_components.pdf manage 117.2 K 2006-05-09 - 18:47 MattDobbs Very basic tutorial on principal component analysis (not specific to astronomy)

This topic: APEX_SZ > WebHome > 2006_AtmosphereSubtraction Topic revision: r6 - 2008-05-13 - MattDobbs
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