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System noise temperature Anh Phan, Yanlin Wu 10/17/2019 Methods - PowerPoint PPT Presentation

System noise temperature Anh Phan, Yanlin Wu 10/17/2019 Methods Noise sources and daytime data are masked. Filter out high frequency components in the visibility with a Fourier low pass filter to get a fit of the raw data. The rms of


  1. System noise temperature Anh Phan, Yanlin Wu 10/17/2019

  2. Methods • Noise sources and daytime data are masked. • Filter out high frequency components in the visibility with a Fourier low pass filter to get a fit of the raw data. • The rms of the residuals (raw data minus fit) is calculated.

  3. Autocorrelation from raw 2018 data • Histogram for 32 auto-correlation baselines. • Middle frequency channel (255).

  4. rms of residuals (raw data, 1s bin, no freq binning)

  5. From Eq. 3 From Eq. 5 • Histogram for 480 cross-correlation baselines. • Middle frequency channel (255). From Eq. 3

  6. Uncalibrated system temperature vs. integration time From Eq. 4

  7. Map making Anh Phan 04/30/2019

  8. Uncalibrated map without and with the monopole term 2018 North Pole Map

  9. Uncalibrated map without and with the monopole term 2018 North Pole Map

  10. NCP Map Calibrated by PsCal2 2018 North Pole Map

  11. Uncalibrated map without and with the monopole term 2017 CasA data

  12. Uncalibrated map without and with the monopole term 2017 CasA data (scale changed)

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